Metabolic syndrome definitions—similar but different enough.
\r\n\tThis project will provide an opportunity for all faculty members from all over the world to present their learning outcomes.
\r\n\tAfter all, modern society needs information in the field of psychological and pedagogical training of future students, teachers, scholars. The presented developments will add to the pedagogical case of knowledge, additional information that will be useful not only to teachers, teachers, and students but also parents.
The antiphospholipid syndrome (APS), primary or associated with certain autoimmune rheumatic diseases, especially systemic lupus erythematosus, represents prothrombotic state. Coexistence of metabolic syndrome (MetS) and autoimmune rheumatic diseases is already recognized [1, 2], while clinical significance of MetS in patients with APS has not been systematically studied [3]. Recent recognition of certain pleiotropic functions of vitamin D (VitD) has enabled us to hypothesize on its role in the pathogenesis of obesity, MetS, APS, autoimmunity and thrombosis. Therefore, the aim of this review will be: (1) to clarify the possible linking role of VitD between APS and MetS, (2) to critically assess the need for estimation of VitD status in APS patients, depending on the coexistence of MetS and (3) to explore the potential therapeutic role which VitD, as an immunomodulator and anti‐thrombotic agent, could have in these patients.
\nMetabolic syndrome (MetS) and antiphospholipid syndrome (APS) are among most prevalent and still highly controversial syndromes. While clinical relevance of antiphospholipid antibodies (aPL) was recognized more than 30 years ago, definite classification criteria for antiphospholipid syndrome were given at the International Workshop in Sapporo, Japan 1998 [4] and revised 2006 in Sidney, Australia [5]. Very interesting proposal of APS criteria based on biological mechanisms is presented lately aiming at simplicity and greater accuracy and, at the same time, avoiding non‐specific formulations [6] (Table 1). Recent investigations have also shown that, beside characteristic thrombotic or obstetric symptoms, there is growing number of systemic non‐criteria manifestations (for example, thrombocytopenia, livedo reticularis, skin ulcerations, pseudovasculitis, migraine and epilepsy) correlating with certain type of aPL and with important predictive role [7, 8]. It is likely that a prominent place among these manifestations belongs to components of MetS, but it is still to be proved. The prevalence of APS in the general population is estimated to be around 2–4%.
\n\nInitial Reaven\'s postulate in 1988, which draw attention to the causal association between insulin resistance with ensuing hyperinsulinemia and cardiovascular diseases [9], was followed by numerous definitions of MetS. Three of them, i.e. definitions given by World Health Organization (WHO) [10], the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) [11] and International Diabetes Federation (IDF) [12], were most frequently used and still neither of them is obsolete. While all three definitions share central obesity, atherogenic dyslipidaemia and arterial hypertension as common criteria, WHO definition put the insulin resistance in focus of metabolic syndrome while an obligatory criterion requested by IDF definition is elevated waist circumference (WC) with population‐ and country‐specific cut‐offs (Table 2). All of these three definitions are very similar but different enough, especially when used for the assessment of prevalence of MetS in some other entities, in this case, among patients with APS. Even the latest joint attempt of several major professional organizations (the IDF Task Force on Epidemiology and Prevention, National Heart, Lung and Blood Institute, American Heart Association, World Heart Federation, International Atherosclerosis Society and International Association for the Study of Obesity) to unify interconnected cardio‐metabolic risk factors into a universal definition of metabolic syndrome did not seem to be final [13].
\nAntiphospholipid syndrome definitions.
Antiphospholipid syndrome definitions
\nSapporo criteria4 | \nSidney criteria5 | \nNewly proposed minimalistic criteria6 | \n|
---|---|---|---|
aβ2GP1‐domain I IgG | \n|||
Obstetric APS | \n\n | ||
Detected on ≥ 2 occasions, at least 6 weeks apart: | \nDetected on ≥ 2 occasions, at least 12 weeks apart: | \n\n | aβ2GP1‐domain I IgG | \n
Similar ambiguity exists concerning the definition of adequate circulating VitD level, as well as of its deficiency and insufficiency. Earlier definition of VitD insufficiency by its blood level of <20 ng/mL (50 nmol/L), given by the World Health Organization (WHO) [14], has been recently accepted by most researchers as a definition of the deficiency of this vitamin [15, 16]. Its insufficiency is defined as a VitD concentration between 20 and 30 ng/mL (50 and 75 nmol/L), while its concentrations >30 ng/mL (75 nmol/L) are regarded as sufficient [17, 18].
\nThe WHO definition10 | \nNCEP ATP III definition11 | \nIDF definition12 | \n||
---|---|---|---|---|
Insulin resistance plus ≥ 2 of: | \n≥ 3 of: | \n\n | ||
\n | Central obesity | \nplus 2 of: | \n||
\n | Atherogenic dyslipidaemia | \n\n | ||
\n | Hypertension | \n\n | ||
Microalbuminuria | \nImpaired fasting glucose/Glucose intolerance/Diabetes | \n
Metabolic syndrome definitions—similar but different enough.
Study included a total of 137 APS patients, attending outpatient clinic of the University Medical Center Bezanijska kosa, all Caucasians, who were previously enrolled in Serbian National APS Registry. These patients represented only the part of those so far included in this Registry, which is still growing and is still unable to appraise the prevalence of APS among general population in Serbia. Among studied patients, 68 were PAPS patients (59 females, nine males, mean age 43.51+10.58 years) and 69 sAPS patients (61 females, eight males; mean age 47.83+15.67 years). All studied APS patients have met 2006 updated Sydney criteria [5] which requested the presence of at least one clinical criteria (i.e. vascular thrombosis or multiple and recurrent foetal losses) and at least one of antiphospholipid antibodies (aPL), i.e. lupus anticoagulant (LA), anticardiolipin (aCL) and/or anti‐β2‐glycoprotein 1 (β2GP1) antibodies. Most of our sAPS patients had APS associated with systemic lupus erythematosus (SLE) (n=60; 87%), while the rest had Sjögren\'s syndrome (n=8; 11.5%) and ankylosing spondylitis (n=1; 1.5%). Mean duration of these rheumatic diseases in sAPS patients was 5.69+2.87 years, ranging from 1 to 13 years.
\nCharacteristics of two subgroups of APS patients were compared with 50 MetS patients (35 females, 15 males; mean age 47.68+11.66 years). The presence of metabolic syndrome among studied patients was determined according to the International Diabetes Federation (IDF) clinical definition [12]. An obligatory criterion for MetS requested by this definition is abdominal obesity defined by elevated waist circumference (WC) with gender‐ and ethnic‐specific cut‐offs, meaning 94 cm for males, and 80 cm for females belonging to European population. Besides abdominal obesity, two or more of the four additional criteria (a) hypertriglyceridemia >150 mg/L, confirmed or already treated; (b) high density lipoprotein (HDL) cholesterol <40 mg/dL in males or <50 mg/dL in females; (c) blood pressure >130/85 mmHg, newly diagnosed or already treated; (d) impaired fasting glycaemia, >100 mg/dL or previously diagnosed diabetes) are necessary for the diagnosis.
\nFor every participant, clinical data concerning thrombotic events, their appearance, management and follow‐up were obtained from medical charts review. As thrombotic events, the following were recorded: superficial and deep venous thrombosis, pulmonary embolism, peripheral arterial occlusion, cerebral vascular accident and myocardial infarction.
\nAfter an overnight fast, height (m), weight (kg) and waist circumference (cm) were measured in every participant with underwear and without shoes. Waist circumference (WC) was measured at the level of the umbilicus while the participant was standing and breathing normally. Body mass index (BMI) was calculated according to the widely accepted formula dividing body weight by the square of individual\'s height. Morning samples of venous blood (3–5 mL) were withdrawn from every participant for the analysis of serum glucose and lipids. Serum vitamin D levels were determined in every participant .
\nThe study was approved by the Institutional Ethics Committee. All examinations were conducted according to the most recent amendment of Declaration of Helsinki (Edinburgh, 2000), only after obtaining an informed consent for participation in the study from every subject.
\nStatistical analysis was performed using the STATISTICA 10 software program. Descriptive statistics was used. Prevalence of MetS as well as of its individual components, within studied groups of patients was expressed as percentage. Testing significance of their differences, the Student\'s t‐test and Fisher\'s exact test were used, considering p value <0.05 statistically significant.
\nMetabolic syndrome was observed in high percentage of patients with APS. Its prevalence did not differ significantly between PAPS (36.76%) and sAPS (42.03%) patients (p=0.53).
\nAnthropometric and metabolic syndrome characteristics among studied groups are given in Table 3. Borderline statistical significance of the difference in WC value was observed when two subgroups of APS patients were compared with MetS patients (F=2.77, p=0.065), while BMI has differed highly significantly between these groups (F=9.765, p=0.0001). In spite of slightly lower BMI and slightly higher WC in PAPS patients, neither BMI (p=0.434) nor WC (p=0.275) did differ significantly between two subgroups of APS patients.
\nAtherogenic dyslipidaemia, represented by hypertriglyceridemia and low HDL cholesterol, was the most prevalent characteristic of metabolic syndrome among PAPS patients. In spite of this, prevalence of low HDL cholesterol among PAPS patients were significantly lower than in MetS patients (48.3% vs. 70%, p=0.02). Prevalence of hypertriglyceridemia (45.59% vs. 42.03%, p=0.67) and low HDL cholesterol (48.53% vs. 53.62%, p=0.55) did not differ significantly between PAPS and sAPS patients. Hypertension was significantly less prevalent among these patients compared with MetS (23.53% vs. 58%, p=0.0002) and even with sAPS (23.53% vs. 52.17%, p=0.0007) patients. The least prevalent characteristic of metabolic syndrome among patients with APS was hyperglycaemic disorder. Compared with MetS patients in whom impaired fasting glycaemia, glucose intolerance or diabetes were present in as much as 36%, these disorders were observed in only 5.88% of PAPS patients (p=0.0001) and 4.35% of sAPS patients (p<0.0001).
\n\n | MetS | \nPAPS | \nsAPS | \n
---|---|---|---|
BMI (kg/m2) | \n32.09+6.14 | \n27.81+5.98 | \n28.54+4.22 | \n
WC (cm) | \n93.67+14.36 | \n90.73+9.18 | \n88.53+11.91 | \n
TG > 150 mg/dL (%) | \n58 | \n45.59 | \n42.03 | \n
HDL < 40/50 mg/dL (%) | \n70 | \n48.53** | \n53.62 | \n
Hypertension (%) | \n58 | \n23.53**** | \n52.17§§ | \n
IFG, IGT, DM (%) | \n36## | \n5.88**** | \n4.35 | \n
Anthropometric and metabolic syndrome characteristics among studied groups.
*p < 0.05, PAPS vs. MetS.
**p < 0.01, PAPS vs. MetS.
#p < 0.01, sAPS vs. MetS.
§p < 0.01, PAPS vs. sAPS.
Compared with patients with metabolic syndrome, prevalence of thrombotic events was significantly higher among patients with PAPS (52.94% vs. 22%, p=0.0009) and sAPS (56.52% vs. 22%, p=0.0003). Thrombotic events were reported with similar prevalence in PAPS and sAPS patients (p=0.674).
\nWhen compared with APS patients without characteristics of MetS, thrombotic events were significantly more frequent among MetS positive patients with sAPS (75.86% vs. 42.5%, p=0.0075).
\nAlthough higher among MetS positive, compared with MetS negative patients with PAPS, difference of prevalence of thrombotic events among these two subgroups of PAPS patients did not reach statistical significance (68% vs. 44.19%, p=0.0622).
\nLow VitD status (insufficiency or deficiency) was highly prevalent among PAPS (insufficiency in 27.94% and deficiency in 36.76%) and sAPS patients (insufficiency in 30.43% and deficiency in 40.58%), as well as among patients with pure MetS (insufficiency in 20% and deficiency in 32%).
\nIn comparison with patients with pure MetS (28.58+14.32 ng/mL), VitD concentrations were lower in PAPS (25.76+12.18 ng/mL) and sAPS patients (23.81+11.22 ng/mL), but with statistically significant difference only between these concentrations in sAPS patients and patients only with MetS (p=0.04).
\nSignificantly lower VitD level was observed in those with coexisting MetS (MetS +), compared with those without it (MetS -) both in PAPS (MetS +: 22.0+8.52 vs. MetS -: 27.0+13.49 ng/mL, p=0.05 ) and sAPS patients (MetS +: 18.83+9.16 vs. MetS -: 27.42+11.28 ng/mL, p=0.0012).
\nAlso, significantly lower VitD level was observed in APS patients with thrombotic events (TE+), compared with those without these events (TE -), both in PAPS (TE +: 20.61+12.18 vs. TE -: 31.56+12.72 ng/mL, p=0.0001 ) and sAPS patients (TE +: 20.67+10.43 vs. TE -: 27.9+11.04 ng/mL, p=0.007).
\nIn 11 (22%) of patients with MetS, but without APS, some thrombotic event was confirmed. In those patients, VitD levels were also significantly lower than in those without these events (TE +: 18.45+10.66 vs. TE -: 31.43+13.63 ng/mL, p=0.003).
\nHowever, both in PAPS and sAPS patients, with coexisting MetS, previous thrombotic events did not influence serum VitD levels (PAPS: p=0.12; SAPS: p=0.93).
\nEstimation of prevalence of MetS in general population seems to depend to a substantial degree on the used definition, at least in certain countries or in certain ethnic groups [19–22]. Its prevalence varies between <10% in China and as much as 60% among women of Samoa [23]. Different prevalences of MetS, ranging between 18 and 48%, were also recorded among populations of different European countries and regions [20–22, 24–26]. It is interesting to emphasize that even in populations in which comparable prevalence of MetS was found using each of three already mentioned definitions, level of agreement between them was not good. As could be expected, worse agreement was found between WHO‐NCEP ATP III and WHO‐IDF than between NCEP ATP III‐IDF definitions because of the central obesity as common denominator of the last two definitions [20, 21, 23]. This observation raised the possibility that in fact different individuals were identified as having MetS by different definitions of this syndrome [23].
\nIn a search for factors that contribute to the manifestations of APS, MetS came into a focus surprisingly late. Data on coexistence of these two syndromes are still relatively scarce, particularly considering that of MetS and primary APS (PAPS).
\nRecently, prevalence of MetS among PAPS patients has been assessed by Medina et al. [3] and Rodrigues et al. [27]. Both surveys were performed in Hispanics among whom MetS has the highest prevalence [28]. Defined by the IDF criteria, the prevalence of MetS among 71 Brazilian PAPS patients was 33.8% [27]. Comparable prevalences of MetS were recorded among 58 Mexican PAPS patients, using NCEP ATP III (34.5%) or IDF definitions (37.9%), while it was only 17.2% when WHO definition was applied [3]. It has been hypothesized that these cases, identified by WHO definition, were insulin resistant and with more severe forms of MetS [3, 29]. However, in investigation conducted by Medina et al., prevalence of MetS among PAPS patients was higher than in corresponding general population (17.2% vs. 13.6%) when WHO definition was used [3]. Same as in general population without APS [20, 21, 23], among PAPS patients agreement between WHO and NCEP ATP III definitions of MetS was low (κ value 0.394), moderate between WHO and IDF definitions (κ value 0.427), while only between NCEP ATP III and IDF definitions agreement was good (κ value 0.851) [3].
\nRegarding individual components of MetS, atherogenic dyslipidaemia was most prevalent among Mexican PAPS patients, being present in approximately half of them [3]. Significantly higher mean triglyceride levels and significantly lower mean HDL levels were previously reported among PAPS patients in comparison with controls [30–33]. Some specific autoantibodies could influence lipoprotein levels and effects in these patients. These antibodies may interfere with paraoxonase (PON) activity of HDL and, indirectly, beta‐2‐glycoprotein I (beta‐2‐GPI) [32, 33], thus promoting LDL oxidation. Relationships between lipid profile, certain anti‐lipoprotein antibodies, inflammatory markers and clinical manifestations of PAPS were meticulously investigated [31–33], but on relatively small number of patients and with inconsistent results. Delgado Aves et al. have not demonstrated any correlation between the observed decrease in PON activity and either aPL nor antibodies against HDL (anti‐HDL) in PAPS patients [33]. However, pro‐inflammatory and prothrombotic roles were proposed for anti‐HDL, being present in higher titre among asymptomatic persistently aPL positive subjects, as well as in PAPS patients with thrombotic events, when compared with patients with inherited thrombophilia and healthy controls [32]. It has been also hypothesized that hypertriglyceridemia could be the result of decreased degradation as a consequence of an inhibition of lipoprotein lipase (LPL) by aPL [3]. Currently, there are only scarce data on prevalence of antibodies against LPL (anti‐LPL) in PAPS patients, speaking against their existence and influence [31].
\nDifferent authors have observed similar prevalences of hypertension among PAPS patients (22.4 and 26.3%) [3, 31], not differing significantly from that in controls (20%). Nevertheless, among PAPS patients, hypertension was significantly more frequent in those with arterial thrombosis, with which it was independently associated [31]. It is interesting that in spite of highly prevalent insulin resistance (32.8%), hyperglycaemic disorders were present in only 5% of PAPS patients [3].
\nThe literature data on coexistence of MetS and numerous rheumatic diseases (i.e. systemic lupus erythematosus, rheumatoid arthritis, Sjögren\'s syndrome, ankylosing spondylitis, osteoarthritis, gout) are fairly extensive [1, 34–42]. The prevalence of MetS among patients with these disorders ranges between 14 and 62.8% [1, 3]. Qualifier “antiphospholipid syndrome associated with certain autoimmune rheumatic disease” (sAPS), which replace currently obsolete term “secondary APS”, refers mainly to the systemic lupus erythematosus (SLE) despite the still unscrambled puzzle of their relations [5].
\nIt has been speculated that high prevalence of MetS among these patients might be the consequence of certain pharmacologic interventions, particularly of chronic corticosteroid therapy [43]. However, the presence of MetS in as much as 16% of 1494 young (35.2+13.4 years) SLE patients with rather short disease duration (24.1+18.0 weeks) seems to be enough to reject this relationship as causal [2]. Nevertheless, it should be kept in mind that duration and magnitude of corticosteroid exposure could aggravate well‐known cardiovascular risk factors clustering as characteristics of MetS.
\nOn the other hand, other pharmacological interventions, primarily methotrexate (MTX) use in patients with rheumatoid arthritis, have been depicted as independent factors for reduced prevalence of MetS in these patients, especially those older than 60 years [44, 45]. This beneficial effect of MTX was attributed to its anti‐inflammatory, as well as to some still unclear drug‐specific effects, i.e. affecting adenosine levels and, concomitantly, glucose and lipid metabolism, or decreasing homocysteine levels as an indirect effect of simultaneous use of folic acid [44]. However, other authors reported somewhat conflicting results not being able to confirm decreasing prevalence of MetS in subjects treated with MTX, among total of 353 patients with rheumatoid arthritis [46].
\nProthrombotic state is one of the well‐known characteristics of both antiphospholipid and metabolic syndrome. It has rather complex pathogenesis in which VitD status has an important role affecting primarily immune‐mediated thrombosis. Indirect proofs for this relationship are as follows: (a) existence of nuclear VitD receptors in vascular smooth muscle cells, endothelial cells, cardiomyocytes, platelets, as well as in most types of the immune cells [47–51], and (b) expression of cytochrome P450 enzyme, CYP27B1 activity by the same cell types, enabling local synthesis of biologically active form of VitD, 1,25(OH)2D [52].
\nThere is substantial experimental data indicating that VitD plays significant role in maintenance of physiological balance between thrombosis and haemostasis [47]. It has been demonstrated that VitD exerts following actions:\n
in monocytes, expression of tissue factor (TF) is downregulated, while the expression of thrombomodulin (TM) is upregulated [53];
in vascular smooth muscle cells, the expression of TM is upregulated, but there is also downregulation of plasminogen activator inhibitor‐1 (PAI‐1) and thrombospondin‐1 (THSP‐1) [54];
in endothelial cells, platelet activation is attenuated as well as the expression of vascular cell adhesion molecule‐1 (VCAM‐1) [55].
Net result of numerous effects of this vitamin on different haemostatic factors is its antithrombotic role. Prothrombotic state that exists in VitD receptor knockout animal models proves the importance of these extra‐skeletal effects of VitD as well as the observation that all of them are VitD receptor‐mediated [47, 56].
\nHowever, there are still relatively few indirect and even less direct clinical evidences for the association between VitD status and thrombotic events in humans. First of them came from the epidemiological studies in which have been observed that cardiovascular morbidity and mortality depended on season of the year and latitude [47, 57, 58]. Seasonal variations were also demonstrated for tissue plasminogen activator (tPA) antigen, fibrinogen, D‐dimer and von Willebrand factor (vWF) concentrations in 6538 British subjects without significant cardiovascular disorders, aged 45 years [59]. In this population, negative correlation between VitD level and tPA, fibrinogen and D‐dimer concentrations was observed indicating that at least some of the seasonal variations of these thrombotic markers could be attributed to the VitD status. More direct proof for the association between VitD status and thrombosis came from the research conducted in huge population of 18 791 subjects from general population of Copenhagen [60]. Authors have observed that every quartile of a decrease in VitD concentrations was accompanied by an increase in risk of venous thromboembolism (VTE), resulting in a 37% increased VTE risk between subjects with the VitD concentrations, in the lowest quartile and those in highest quartile.
\nRecent publication which retested the seasonality of different cardiovascular events in regard to VitD levels, in the Scottish Heart Health Extended Cohort (SHHEC), brings a dose of confusion in previously proposed relations. Namely, it failed to prove that seasonal appearance of cardiovascular events resembled seasonal variations in serum VitD concentrations nor that these events expressed more pronounced seasonality in those with lower VitD concentrations, compared with those with its higher concentrations [61]. But, during follow‐up, significant correlations were observed between lower baseline concentrations of VitD and subsequent incident cardiovascular morbidity and incident cardiovascular and all‐cause mortality [61].
\nResults of recent trials assessing the effects of VitD supplementation on the risk of thromboembolism were inconclusive [62–64]. In the Multiple Environmental and Genetic Assessment (MEGA) case‐control study which included 2506 patients with venous thrombosis, thrombotic risk was 37% lower in those supplemented with various vitamins including VitD [62]. However, in a large cohort of postmenopausal women (n=36282) from the Women\'s Health Initiative, daily supplementation with calcium and VitD failed to reduce the overall risk of thromboembolism [63]. Even when high doses (300,000 IU) of VitD were given intramuscularly, in a small group of patients with proven deep vein thrombosis and pulmonary embolism, observed reduction in plasma concentrations of P‐selectin and high‐sensitive C‐reactive protein (hs‐CRP) did not reached statistical significance [64]. Additional information could be expected from the ongoing Vitamin D and OmegA‐3 Trial (VITAL) and that is why the results of this investigation are eagerly awaited [65].
\nCurrently, increasing prevalence and co‐existence of obesity, MetS and hypovitaminosis D represent serious public health concern [66, 67]. New data have considerably changed hierarchy of MetS components, with the shift of the focus from obesity and insulin resistance, firstly toward fatty liver and now toward VitD deficiency [68].
\nIt is still questionable if relationship between VitD status and obesity is unidirectional or bidirectional, with the accumulating evidence favouring the influence of VitD on body composition and not vice versa. Namely, few years ago tempting hypothesis on essential role of VitD in evolvement of obesity has been postulated [68]. It started from a situation that is completely opposite to the “thrifty genotype hypothesis” proposed long ago [69] and gave the feasible explanation not only for obesity and MetS epidemic in adults but also for their growing prevalence among children [70]. According to this hypothesis, we are living in “obesogenic” environment, loaded with energy resources and unsuitable for efficient metabolism. It has been proposed that VitD as an ultraviolet (UV)‐B radiation sensor (i.e. decline in its concentrations) could induce shift toward “winter metabolism”, characteristic for MetS [68]. If this is true, then it could be expected that VitD supplementation may be efficient in prevention and treatment of obesity and MetS. Significant decrease in body fat mass after 12 week of VitD repletion (25 μg of cholecalciferol daily), compared to placebo (−2.7+2.0 kg vs. −0.4+2.0 kg, p<0.001), could be the proof for this presumption [71]. It was also speculated that VitD deficiency during pregnancy could lead to the epigenetic changes predisposing, in that manner, new‐born children to obesity and MetS later in life [68, 70]. Experimental support for these assumptions is the expression of VitD receptors on adipocytes and its involvement in adipogenesis which is regulated by the intracellular concentrations of VitD [72], as well as inhibition of lipid accumulation in adipocytes and their atrophy achieved by the knock‐down of VitD receptors [72, 73].
\nNowadays, VitD deficiency is common even in general population (49%), but significantly more prevalent (p=0.006) and quite similar in overweight/obese patients with MetS (72%) and without MetS (69%) [74]. Premise that exaggerated adiposity could lead to VitD insufficiency or deficiency by its seclusion within adipose tissue could not be confirmed. It has been shown that VitD concentrations varied considerably (range 4–2470 ng/g) in the subcutaneous abdominal fat of 17 severely obese patients (BMI=48.7+8.1 kg/m2) undergoing bariatric surgery [75]. In spite of the average weight loss of 54.8 kg after one year and continuous VitD supplementation with more than 2500 IU/day, mean serum VitD concentrations did not change significantly during this period (23.1+12.6 vs. 26.2+5.36, p=0.58) [75].
\nMost of the studies have confirmed that serum VitD concentrations significantly inversely correlated with obesity parameters, BMI (r=-0.159, p=0.007) [74], or waist circumference (p<0.001) [76] as well as with serum triglycerides (r=-0.149, p=0.012) [76]. In the lowest quartiles of VitD concentrations corresponding to its severe deficiency, odds ratio (OR) for hypertriglyceridemia was 2.74 (95% CI: 1.64–4.57) [77]. This association between serum concentrations of VitD and triglycerides could be explained by the activation of lipoprotein lipase by VitD in adipocytes [76]. No significant relation could be demonstrated between VitD status and total‐ (r=-0.044, p=0.461) [74], low density lipoprotein (LDL)‐ (r=-0.005, p=0.932) and high density lipoprotein (HDL)‐cholesterol (r=0.065, p=0.276) [74]. Interestingly, hypothesis was proposed ten years ago stating the possibility that statins could be the analogues of VitD, acting via same receptors, particularly when we are talking about their mutual effect of enhancement of immune competence [78]. So, it seems that this absence of association between VitD status and parameters of cholesterol metabolism made this hypothesis shaky to some extent.
\nAnother component of MetS for which association with VitD status has not been unequivocally confirmed is hypertension. Variability of blood pressure driven by the seasons or latitude speaks for the existence of this association, as well as the results of experimental studies pointing to VitD as an inhibitor of the renin‐angiotensin‐aldosterone axis [79, 80]. Negative correlation between VitD concentrations and blood pressure was demonstrated in most but not all of the surveys. This negative association was stronger in subjects younger than 50 years [81–83], while the absence of any relationship between VitD status and hypertension was also registered in some of the trials [74, 76, 84, 85], particularly those conducted in older subjects [84, 85]. However, in postmenopausal women with the VitD concentrations in the lowest quartiles corresponding to its severe deficiency, odds ratio (OR) for hypertension was 1.81 (95% CI: 1.15–2.85) [77].
\nAlthough APS represents acquired, autoimmune condition, its pathophysiology and, especially pathophysiology of thrombosis in APS is highly heterogeneous, involving different genes and acquired factors [86], VitD insufficiency/deficiency being among them.
\nSame as for relationship between MetS and APS, much more is known about the impact of VitD status on antiphospholipid syndrome, associated with autoimmune rheumatic diseases, than on primary antiphospholipid syndrome. Patients with PAPS represent the population of particular interest for the investigation of interrelations with components of MetS and/or VitD status since these patients, unlike those with sAPS, were not treated with drugs (i.e. corticosteroids, immunosuppressants) which may affect expression of most of the MetS characteristics as well as VitD level.
\nOne of the first announcements on the prevalence of VitD insufficiency or deficiency in PAPS and their impact on its manifestations dated from 2010 [87]. This letter to the editor presented the results of research conducted by Brazilian investigators in the group of forty‐six PAPS patients, younger than 60 years, in whom the VitD levels were assessed in the autumn, when it was expected to be highest. VitD deficiency was found in 11% and insufficiency in 74% of these PAPS patients, resembling the findings of Italian authors [88] which have reported the prevalence of VitD deficiency in 17% and insufficiency in 60% of PAPS patients. It is interesting that Brazilian authors have noticed that VitD insufficient PAPS patients tended to be more overweighed than those with adequate VitD level [87]. Also, it seems that thrombotic APS is characterized with significantly lower concentrations of VitD than purely obstetric clinical syndrome (20.8 vs. 33.3 ng/ml, p<0.01) [88] highlighting once again the role of this vitamin in thrombosis. High prevalence of VitD deficiency among patients with APS (49.5%) and its significant correlation with thrombotic events were confirmed by Israeli authors [68]. In vitro, they have also demonstrated VitD ability to inhibit anti‐β2‐glycoprotein I autoantibody (anti‐β2‐GPI Ab)‐mediated TF expression [89].
\nSeasonal variations in VitD concentrations were demonstrated in PAPS patients same as in healthy controls, with preserved differences in its level between these two groups through all seasons [88, 90]. These differences were most pronounced during summer, while they were not statistically significant only during the spring. This observation was somewhat surprising, given the lack of banning from sun exposure in these patients. That sun avoidance is not a cause of highly prevalent VitD deficiency and insufficiency in PAPS patients was indirectly demonstrated in previous Italian studies [88, 90] by observed absence of any difference in VitD levels between antinuclear antibodies (ANA)‐positive and negative PAPS patients.
\nUntil now, there is no valid explanation for the probable cause‐and‐effect relationship between insufficient VitD level, on one side, and PAPS or sAPS, on the other. There are only assumptions, and even they are much better clarified for sAPS [91–93], especially that accompanying SLE [91, 94, 95]. It is obvious that low levels of vitamin D in sAPS could not be attributed purely to banning of sun exposure or the use of certain medication in these patients. In an Israeli and European cohort of patients with SLE, significant negative correlation (r=-0.12, p=0.018) was demonstrated between the serum VitD concentrations and disease activity, assessed by SLE disease activity‐2000 (SLEDAI‐2K) and European Consensus Lupus Activity Measurement (ECLAM), which were converted into standardized z‐value [94]. Severe VitD deficiency was found in 17.89% of 123 SLE patients with short disease duration, while the presence of renal disease (OR 13.3, 95% CI 2.3–76.7, p<0.01) and photosensitivity (OR 12.9, 95% CI 2.2–75.5, p<0.01) were its strongest predictors [95]. Investigation conducted in a small group of young women with newly diagnosed SLE, from one of the sunny places in Iran, gave very interesting results. VitD deficiency was highly prevalent among these patients, mild in 12.5%, moderate in 62.5% and severe in 17.5% of them [96]. It was much more pronounced in them than in general population of the similar age in that region, in whom mild VitD was present in 15.5%, moderate in 47.1% and severe in 7.1%. Very interesting was also an observation that serum VitD concentrations showed significant negative correlation with another disease activity score, the British Isles Lupus Assessment Group (BILAG) (r=-0.486, p=0.001), in spite of the short duration of disease [97]. Hypothetical explanation for the low serum concentrations of VitD in SLE patients by the existence of inhibiting anti‐VitD antibodies in circulation could not be confirmed by the literature data [97, 98]. Their existence could be proven in 4–6% of patients with SLE and 3.5% of APS patients. Its association with anti‐dsDNA (p=0.0004) could point to its potential role in this condition, but being only one of 116 different antibodies present in SLE patients characterized by the polyclonal B lymphocyte activation, it is still uncertain if it is pathogenic [97]. It seems that their presence did not affect VitD levels in these patients [97, 98], and it was speculated that they could be the consequence of high‐dose VitD consumption rather than the cause of this vitamin deficiency [99].
\nOnce again, it is important to emphasize that VitD deficiency is more pronounced in more severe APS phenotypes, i.e. thrombotic APS [88]. It could be speculated that supplementation of this vitamin in these very patients may have certain beneficial effects [88, 99], but there is still no prospective studies proving them. Hypothesis of statins as VitD analogues has not still been tested in well‐designed, randomized prospective trials [78]. However, since its proposal, there have been many experimental and small clinical studies confirming statins therapeutic value in APS patients, particularly in those with its thrombotic form [99–103]. So, future studies are badly needed to determine all the aspects of VitD repletion in APS prevention/therapy (choice between VitD precursors, its active form or VitD analogues, their dosage and treatment goals).
\nPrevalence of metabolic syndrome in APS, primary or associated with certain rheumatic diseases, is high.
Atherogenic dyslipidaemia is the most prevalent characteristic of metabolic syndrome in APS patients.
Prevalence of thrombotic events was significantly higher in APS patients with coexisting metabolic syndrome, compared with APS patients without metabolic syndrome characteristics.
Among APS patients, prevalence of vitamin D deficiency was significantly higher in patients with coexisting metabolic syndrome, compared with those without it.
Among APS patients, vitamin D level was also significantly lower in patients with previous thrombotic events than in those without them.
In the contemporary literature, there are much more data in favour of pathogenic than therapeutic role of vitamin D in thrombotic events characterizing APS and/or metabolic syndrome. So, prospective studies designed to test all the aspects of VitD repletion in prevention and/or therapy of thrombotic events in APS and/or metabolic syndrome are badly needed.
Elucidating interrelationships between vitamin D deficiency, metabolic syndrome phenotype and thrombotic events in APS patients open up the possibility of distinguishing those subjects with the particularly high cardiovascular risk and ensuing need for the strict control of modifiable risk factors and vitamin D supplementation.
\nIn general, hydrometeorology deals with monitoring the energy and water fluxes between the atmosphere and earth [1, 2, 3, 4]. Hydrometeorology has evolved as a special discipline of both meteorology and hydrology, linking the fundamental knowledge of meteorologists with the needs of hydrologists to assess the water and energy cycles at local, regional, and global scales [1, 2, 3, 4]. In hydrometeorology, meteorological data are incorporated into hydrological models to predict water and energy exchanges between the land surface and atmosphere, weather, climate, and natural hazards such as wildland fires, storms, droughts, and floods [5, 6, 7, 8]. Climatologists focus on seasonal to decadal scales, while hydrometeorologists are more interested in studying short time-scale events (i.e., hours up to a few days) such as severe storms and flash floods [6, 8].
Hydrometeorological records started in ca 3000 BC mainly by observing the movement of moon and stars. Since then, our understanding of hydrometeorology has advanced considerably, especially with the significant growth of technology in the second half of the 20th century (e.g., introduction of televisions in the early 1950s and computers in the 1970s).
From the 1980s up to now, tremendous advances have been made in the hydrometeorological science [9]. Governmental and private agencies have begun hiring hydrologists to use meteorological data and improve the accuracy of hydrometeorological predictions. A better knowledge of hydrometeorology along with the enhanced computational capabilities allowed them to forecast hydrometeorological variables more accurately. Fortunately, TV networks and websites have provided timely information on the weather and climate forecast.
With the advent of satellites and radars, hydrometeorology has changed from a “data poor” to a “data rich” environment [10]. Nowadays, hydrometeorologists incorporate remotely sensed data from radars and satellites into numerical models to estimate hydrologic variables such as rainfall, evapotranspiration, soil moisture, and vegetation dynamics over large-scale domains. Indeed, the technology boom and the vast amount of radar and satellite observations have enabled many national hydrometeorological centers to become hubs of information and research in the field of weather forecasting for governments, policymakers, and private agencies. The improvements over the last 50 years have been impressive, and hydrometeorological centers are continuously adopting modern technologies to provide more reliable weather and climate information for societal needs [1, 2, 3, 4].
Five eras can be identified as the benchmark for historical advances in the science of hydrometeorology: (1) Prehistoric times (ca 3500–750 BC), (2) Historical to medieval times (ca 750 BC-1400 AD), (3) Early and mid-modern times (ca 1400–1800), (4) Modern times (1800–1900), and (5) Contemporary times (1900-present).
This study provides new information and insights about history of hydrometeorology. A comprehensive review of hydrometeorology in each of the abovementioned five eras contributes to a growing awareness of observational methods. As noted by the great Chinese philosopher, Confucius (ca 551–479 BC): Study the past, if you would divine the future.
In the prehistoric period, also known as the speculation period, the meteorological knowledge was based solely on speculative theories [9]. In this long era, hypotheses with no empirical validation were developed to describe meteorology, weather, and climate [9]. The prehistoric times cover the pre-Aristotelian era that is long before the invention of meteorological instruments.
The first primitive human societies began in the late Neolithic era [9]. The transition from hunting-gathering to farming increased the vulnerability of societies to climate-related hazards because they no longer migrated to avoid unfavorable environmental conditions. There was no study of meteorology at that time. Also, atmospheric phenomena could not be adequately explained. Hence, a collection of linguistic weather “signs” was created and transferred from generation to generation. For instance, moving a light or star at night was considered as a sign for sunny or rainy condition in the next day.
About 3000 BC, an ancient instrument (called a Nilometer) was first used to measure the water level of the Nile River. The Nilometer helped farmers irrigate their farms more efficiency [11]. Figure 1 shows the Nilometer at Rhoda Island in Cairo (in 861 AD), which was designed by Afraganus.
The Nilometer at Rhoda Island in Cairo.
The Babylonian king Hammurabi (ca 1792–1750 BC) related seasons and weather conditions to the solar cycle by developing the 360-day calendar. This calendar was used to study hydrometeorological phenomena in next centuries [11].
From 747 BC to 737 BC, other Babylonian kings (e.g., Nabu-nasir) recorded the movement and location of the moon over a period of several years. He also monitored the time of sunrises, sunsets, and eclipses. The Babylonians used this information to predict celestial events [12]. Another Babylonian king, named Nabu-suma-iskun (ca 700 BC), stated that a halo around the sun or the moon is a sign of flood during winter [13].
The theocratic explanation of meteorology was dominant until the 7th century BC. The Ionian Stoa (School) in Asia Minor was founded ca 600 BC by the Thales of Miletus, the father of natural philosophy and water science. The natural philosophers (the so-called pro-Socratic philosophers) such as Thales, Anaximander, Anaximenes, Pythagoras, Heraclitus, Zenos, Empedocles, Democritus, and Alcmaeans lived in Greece from the end of the 7th century until the middle of the 5th century BC. They raised new questions about the natural phenomena such as rain, cloud, storm, and lightning [14]. One of their questions was: “Is there a reality that does not change despite the ever-changing appearances of things?” [14]. While the manifestations of nature are extremely complex, the beginning (i.e., the source substance) was thought to be relatively simple. Having said that, the “beginning” was water for Thales and the air for Anaximenes [14].
In the late Archaic times, the Ionian philosophers learned fundamental hydrological processes by studying meteorological phenomena [14]. For example, Anaximander (ca 610–546 BC) explained the relationship between rainfall and sunshine in his book entitled “On Nature”. For the first time, Xenophanes (ca 570–475 BC) expressed the concept of the hydrological cycle and the role of sea in it.
In 465 BC, Anaxagoras (ca 500–428 BC) used the ideas of the Ionian philosophers to develop rain gauge instruments in Athens [15]. At that time, the first measurements of rainfall began in India [16, 17]. Later, in 100 AD, a recording rain gauge was developed in Palestine [18]. In 400 BC, Kautilya wrote a book entitled Arthashastrain, which elaborated the importance of rainfall for military operations [16, 17].
Plato, a well-known philosopher, advanced the concept of the hydrologic cycle by stating that “rivers and springs originate from rainfall”. In 387 BC, the Platonic Academy was founded in Athens by Plato (ca 428–348 BC) based on the principles of the Ionian Stoa. The hydrological cycle was characterized in that Academy. Aristotle (384–322 BC) was Plato’s student, and his theories were influenced by Ionian philosophers. He explained several hydrometeorological phenomena such as physics of clouds, rivers, precipitations, and changes in land covers [19, 20, 21, 22, 23, 24].
In 300 BC, Theophrastus (ca 371–287 BC) published his Book on Signs (De Signis Tempestatum), which is considered to be the first weather forecasting manual. In 240 BC, Eratosthenes compared the intensity of Sun’s rays at two points on the earth to calculate the spherical size of the earth and its circumference [25].
The well-known astronomer, Ptolemy (ca 100–170 AD), defined the earth’s climatic zones on the basis of astronomical observations and air temperature variability. Recognition should also be given to two Roman scholars, Seneca (4 BC-65 AD) and Pliny (23/24–79 AD). Seneca studied a wide spectrum of meteorological phenomena (e.g., wind, lightning, thunderstorm and hurricane). Pliny collected all the meteorological theories of the Ancient Greeks [26].
Heron of Alexandria (ca 10–75 AD) was a physicist, mathematician, and engineer at the Museum of Alexandria. He wrote many books in his field of expertise that were used until medieval times. His most important invention was the Aeolipile, the first steam turbine [27]. He is mostly known for his profound comprehension of physics, which is reflected in the Pneumatica (his description of how mechanical devices operate by air, water, and steam) [28].
Documents from the Jewish tradition (called the Mishnah) show the rain water harvesting practice from ca 200 BC to 200 AD. During the Han dynasty (ca 206 BC-220 AD) in China, the hydrological cycle was represented by the 1) water vapor transfer from the land surface to the overlying atmosphere due to evaporation, and 2) cloud formation.
In 800 AD, Vikings in Scandinavia believed in Thor as the god of thunders and lightning, and Freyr as the god of sun, rain, and other meteorological phenomena. Thunder was the sound of Thor, and lightning was the sign of killing Thor’s enemies [29].
In ca 1000 AD, Ibn Wahshiyya discussed the importance of weather forecasting for agricultural production in his book entitled “Nabataean Agriculture”. According to Wahshiyya, a visible moon is a sign of clear weather in the next day. Unlike the ancient Babylonians, he believed that clear weather would come if the moon was surrounded by a halo. Wahshiyya also mentioned that thin (thick) clouds were the sign of cold (warm) weather. Based on his beliefs, an owl’s hoot implies the closeness of cold weather [30].
In 1328 AD, William of Ockham (1285–1347 AD) wrote a great deal on natural philosophy and attempted to quantify atmospheric physics and other natural sciences. William highlighted the importance of reliable meteorological observations in a long commentary on Aristotle’s Physics [31, 32, 33].
During this era, many scientists tried to develop new methods and instruments to monitor hydrometeorological variables. The end of the era of theories and the beginning of the modern meteorology are demarcated by the first ‘modern philosopher’, Rene Descartes (1596–1650 AD). He established the principle of scientific philosophy in his work Les Meteors, denoting nothing should be accepted as truth unless it is proven [34].
The economy of Korea in the Far East during the Joseon Dynasty (1392–1897) was mainly dependent on agriculture. Thus, Koreans had to manage their water resources efficiently. Jang Yeong-sil designed the first Korean rain gauge (called cheugugi) in 1441 (Figure 2). In 1442, the standard rain gauges with the height of 42.5 cm and diameter of 17 cm were installed across Korea to record rainfall data [9].
The first Korean rain gauge designed by Jang Yeong-sil [9].
As the Renaissance began, weather forecasts were based on astrology and interpretation of weather signs. Meteorological instruments were improved only slightly from the middle ages until the beginning of age of instrumentation in the 17th century. In 1450, Nicholas of Cusa developed an idea for a hygroscopic hygrometer to measure air moisture. His plan was to use wool and stones on different sides of a large scale. The hygrometer operated based on the ability of wool fibers to absorb air moisture. In 1481, Leonardo DaVinci took advantage of Nicholas’ idea and made the first hygrometer (Figure 3a). DaVinci’s invention was used until 1500 [9]. Later, Francesco Folli (1624–1685) created a hygrometer (Figure 3b), which he named as “Mostra Umidaria” (in Italian). In his hygrometer, a frame carries a small roll at each end, on which is wrapped the end of a paper ribbon (now missing) serving as a hygroscopic substance. The frame is made of brass and has the shape of a finely decorated balustrade. The center of the frame holds a decorated brass dial fitted with a circular graduated scale. By means of a simple mechanical system, the dial indicates the changes in ribbon length due to the variations in atmospheric humidity [37]. Nevertheless, the development of hygrometer as a scientific instrument was started in 1768 by the German mathematician John Heinrich Lambert (ca 1728–1777).
(a) The DaVinci’s hygrometer [35, 36], and (b) the Francesco Folli’s hygrometer, named as Mostra Umidaria [37].
The British physicist, Robert Boyle (1627–1691), was one of the first scientists that recognized the need for a standard thermometric scale to make temperature measurements comparable. In 1714, Gabriel Daniel Fahrenheit (1686–1736) built a mercury thermometer that could measure the temperature as low (high) as the freezing (boiling) point of water. Anders Celsius (1701–1744) proposed a new scale for thermometers in 1742. His ‘centesimal’ (meaning 100 divisions) system was easier to use in scientific works and became the basis for the ‘Celsius’ or ‘centigrade’ temperature scale. In 1862, Lord Kelvin (1824–1907), the Scottish mathematician and physicist, used the absolute zero (or zero degree Kelvin) in the so-called absolute temperature scale. Absolute zero is defined as the temperature in which molecules stop moving [38]. Benedetto Castelli (1578–1643) built the first rain gauge in the 16th century in Italy. More meteorological instruments were developed by other Italian meteorologists. Ferdinand II de’ Medici (1610–1670) built a condensation hygrometer that operated by exposing water vapor to a cylindrical iced glass.
The science of hydrometeorology has benefited from advances in mathematics and physics. The relationship between air pressure and height was one of the most interesting subjects in the history of hydrometeorology. Evangelista Torricelli and Blaise Pascal developed the first barometers in 1643 and 1646, respectively. In 1660, Robert Boyle found the relationship between the gas pressure and volume. Benjamin Franklin (1706–1790), the American statesman and scientist, discovered the electrical nature of lightning in 1752. He also realized that storms can move from place to place. In 18th century, the first studies on dynamic meteorology were done by Halley and D’Alambert [39].
The equations of motion, the continuity equation, the first law of thermodynamics, the state equation of gases (the law of ideal gases), and the hydrostatic equation have been used to describe atmospheric motions [9]. The first law of thermodynamics was formulated in the 19th century by Germain Hess and Rudolf Clausius. Isaac Newton (1642–1727) introduced many principles of mechanics in an integrated framework and highlighted their use in describing atmospheric phenomena [40]. Leonard Euler (1707–1783) investigated the variation of air pressure with height above sea level. Using the Newton’s second law of motion, he developed the equations of fluid flow in 1755, which were a significant contribution to fluid mechanics [40].
The development of hydrometeorology was further enhanced in the late 17th and early 18th century. Robert Hooke (1635–1703 AD) had new ideas for designing hydrometeorological instruments. His collaboration with Sir Christopher Wren led to the construction of the first automatic rain gauge, called the tipping bucket rain gauge [27, 33]. Richard Towneley (1677–1704 AD) used their automatic rain gauge to measure rainfall in the UK [27, 33].
In the 18th century, scientists improved the accuracy of instruments to monitor meteorological phenomena more reliably. In 1743, Benjamin Franklin studied the movement of hurricanes in Philadelphia and Boston. Horace-Benedict de Saussure (1740–1799 AD) improved the accuracy of hygrometers by designing a hair hygrometer in 1775, which is still used today [41, 42]. de Saussure’s hair hygrometer works based on changes in the length of a human hair as air humidity varies. In the late 1700s, hydrometeorologists started to monitor meteorological variables over large-scale areas. For instance, in 1777, David Dobson measured raindrop size and evaporation over Liverpool in the UK ([29, 43]). In summary, the 18th century was characterized by the development of basic meteorological instruments and dynamic equations [44]. However, the widespread application of these tools and equations began in the 19th century.
In the 19th century, meteorological scientists used new devices (e.g., psychrometers, hygrometers, meteorographs, and weather kites) in weather stations. They also categorized several meteorological phenomena such as clouds, hurricanes, and tornadoes. The English naturalist Luke Howard (1772–1864) classified different types of clouds in 1803. In 1830, the Connecticut merchant William Redfield (1789–1857) discovered the circular motion of hurricanes. He also classified different types of hurricanes and tornadoes [44, 45].
The British Admiral Francis Beaufort (1774–1857) developed a wind force scale for mariners in 1806. Ernst Ferdinand August (1795–1870) built a psychrometer to measure air humidity in 1818. It used a dry bulb thermometer and a wet bulb thermometer to measure air temperature [9]. The difference in temperature of the two thermometers was utilized in the Ernst Ferdinand August’s algorithm to obtain air humidity. In 1820, John Frederic Daniell (1790–1845) invented a new type of hygrometer, called a dew point hygrometer [46]. He cooled down a polished metal mirror to a temperature at which water vapor in the air began to condense on it (i.e., dew point temperature). William Jevons (1835–1882) corrected the errors of rain gauge measurements due the wind. George James Symons (1838–1900) expanded Jevons’ corrections and founded the British Rainfall Organization (British [47, 48]).
The first synoptic weather charts were constructed by the German meteorologist Heinrich Wilhelm Brandes (1777–1834) in 1820. These weather charts were a significant milestone in the history of theoretical and applied meteorology. These weather charts indicated the low- and high-pressure systems and initialized the field of synoptic meteorology [49, 50].
By the invention of telegraph in 1843, the first weather observation network was established in the UK to transmit weather observations to various stakeholders. In 1860, the Met Office in London started to transmit meteorological measurements to the community by telegraph. The British Meteorological Society (BMS) was created in 1850 and later renamed to the Royal Meteorological Society (RMS). In 1861, the Met Office began publishing weather forecasts for the public in the UK [51, 52].
The first attempt to automatically record meteorological variables was made by Father Secchi in 1867. He designed the first Meteorograph to measure air pressure and rainfall duration (Figure 4a). In 1870, weather balloons were employed by Alexander Wilson in the UK to collect meteorological data [9]. In the late 1880s, meteorological stations were installed in other countries. For example, the civic association Stadtverein Salzburg installed a weather station in Salzburg (Austria) in 1888 to measure air pressure, temperature, and humidity (Figure 4b) (Atlas [54]).
(a) The Meteorograph designed by father Secchi [53], and (b) the first (19th century) weather station in Salzburg, Austria.
In 1870, President Ulysses S. Grant established a weather bureau in the US, currently called the National Weather Service (NWS) [55]. By the 1870s, the US had more than 20 weather stations that transmitted micrometeorological data to Washington DC by telegraph.
The International Meteorological Organization (IMO) was founded in 1873 to facilitate the cooperation among all national weather services. The IMO organized several international meteorological conferences in Vienna, Rome, Munich, and Paris in 1873, 1879, 1891, and 1896, respectively. The IMO was renamed to the World Meteorological Organization (WMO) in 1950. Nowadays, the WMO serves as the specialized agency of the United Nations for meteorology (weather and climate), agrometeorology, operational hydrology, and related geophysical sciences [9]. Currently, the WMO has at least 187 member states and territories. The Japan Meteorological Agency (JMA) and the Meteorological Society of Japan were formed in the 1880s [9].
In the late 1890s, further attempts were made to measure various micrometeorological variables. Weather kites were used in 1894 to collect air temperature, pressure, humidity, and wind speed at high altitudes (Figure 5) [9]. Weather kites were used instead of weather balloons (developed in late 1780s) as they could move more readily. In 1898, the Richard brothers in France invented a barothermograph, which consisted of a thermometer, a barometer, and a hygrometer [56].
Measuring weather information by a weather kite in 1894. The location of the picture is unknown [9].
The modern hydrometeorology was born in contemporary times (1900-present). In this era, weather data were used in the forecast models [9].
The discovery of the stratosphere at the beginning of the 20th century by Léon Philippe Teisserenc de Bort (1855–1913) advanced meteorology and hydrometeorology. Similarly, the discovery of the tropopause (i.e., the buffer zone between troposphere and stratosphere) by Ernest Gold (1881–1976) and William Jackson Humphreys (1862–1949) in 1900 further augmented hydrometeorology. In 1920, the Norwegian School of Meteorology (NSM) made a significant contribution to the field of meteorology by organizing seminars and inviting the most well-known scientists to them [57]. New theories about frontal surfaces and development of low-pressure systems by the Norwegian scientists, namely Vilhelm Bjerknes (1862–1951), Jacob Aall Bonnevie Bjerknes (1897–1975), Halvor Solberg (1895–1974), and Tor Bergeron (1891–1977) took a dominant position in hydrometeorology [58]. In 1940, Carl Gustaf Rossby (1898–1957) from the US weather service discovered the jet stream and its controls over the easterly movement of most weather systems [59].
Hugo Hildebrand Hildebrandsson (1838–1925) published his book entitled International Cloud Atlas. His book improved meteorologists’ knowledge of cloud physics [60, 61]. In 1909, the Met Office equipped ships with wireless telegraphy to transmit weather records to designated centers in the UK. This was the first attempt to transfer real-time weather data from the ships to the land [62]. The American Meteorological Society, AMS (founded in 1919), has advanced our understanding of meteorology, hydrometeorology, and hydroclimatology. In 1922, Lewis Fry Richardson used weather observations in his simple numerical model to forecast air pressure and wind speed. Today, complex numerical models are used instead of his simple weather forecast algorithms [9, 63].
In 1922, the first weather radio broadcasts were developed in New York and London [64]. In 1921, the Hydrometeorological Center of Russia was founded in Moscow. Nowadays, this center has more than 30 laboratories, departments and administrative branches, and provides forecasts of hydrometeorological variables. The US broadcasted the first weather forecast program on television in 1941 [64].
The prestigious seminars of Norwegian School of Meteorology, the invention of radiosondes, the Bergeron’s theory of rain formation, the ionospheric research of Edward Victor Appleton (1892–1965) and Miles Aylmer Fulton Barnett (1901–1979), and the theoretical studies of low- and high-pressure systems were conducted between the First and Second World Wars (1920–1940). In addition, in this period, there were some studies on the general circulation of atmosphere, the properties of motion, the mechanisms of fronts and low-pressure systems, the atmospheric disturbances, and the isentropic analysis [58]. During the Second World War, radiosonde meteorological measurements led to the discovery of jet stream. In 1935–1945, new instruments such as weather radars and radio wave sensors were invented [58]. In the same period, several studies were performed on the chemical composition of the upper atmosphere and fog decomposition [58].
Jule Charney used the first computer in 1950, called the Electronic Numerical Integrator and Computer (ENIAC), to run his meteorological model [9]. In the 1950s, the first computational atmospheric models were developed and used in hydrometeorology. In this decade, government agencies took advantage of geographical information to forecast weather more accurately. In 1954, the first radar weather station was built in New Orleans, USA [9]. In 1959, the Met Office created a computer, called Meteor, which was able to conduct 30,000 calculations per second [65].
The chaotic nature of the atmosphere was first realized by Edward Norton Lorenz (1917–2008) in the 1960s. He introduced the chaos theory and limitations of atmospheric predictability. This is also known as the butterfly effect as flapping of a butterfly’s wings can cause a large disturbance somewhere else [58]. The first generation of satellites emerged in this decade. In 1960, the first weather satellite, called the Thermal Infrared Observation Satellite (TIROS), was launched by the US. This satellite could send 4000 images per week to the earth [66].
The National Aeronautics and Space Administration (NASA) lunched the Synchronous Meteorological Satellite-1 (SMS-1) and SMS-2 in the 1970s. Other geosynchronous meteorological satellites were also launched by the NASA as part of the Geostationary Operational Environmental Satellite (GOES) program.
There is a large number of satellites at present, which is steadily increasing year by year for remote sensing of the earth. Remote sensing can be classified into two main categories: (1) active radars, and (2) passive instruments (sensors). The active radars transmit energy and record the backscattered signals. Weather radars can operate even in cloudy skies because their signals can pass through clouds. The passive systems record the emitted radiation from the earth.
Scientific and technological advances led to the development of Doppler and dual-polarization weather radars, which are currently used to detect storms [44]. These radars allow researchers to “see” inside the storms and monitor wind-driven precipitation. They also visualize the wind rotation and allow meteorologists to detect severe storms such as tornadoes and mesoscale convective systems.
Meteorological satellites are located in either low polar (e.g., Polar Orbiting Environmental Satellites (POES) and Television Infrared Observation Satellites (TIROS-N)) or high geostationary (e.g., meteorological satellites (METEOSAT) and GOES satellites) orbits. A number of widely used meteorological satellites are shown in Figure 6. They monitor the weather, soil moisture, sea and land surface temperatures, precipitation, crop condition, snow depth, land cover, landslide, etc. [16]. While these satellites allow to monitor various hydrologic variables, they have main challenges regarding community acceptability, underestimating total precipitation due to light rainfall events, unquantified uncertainty, data continuity, sensor changes, and data maintenance [67, 68].
A number of widely used satellites that monitor and transit meteorological and climatological information [9].
Continuity of data is crucial in order to develop reliable and accurate satellite records for hydrologic applications. Most satellites are functional for less than 10 years, though many of them operate beyond a decade. Although, launching satellites should be extended for follow-up missions, designing satellites require substantial investments and can take decades. The Global Precipitation Measurement (GPM) and Gravity Recovery and Climate Experiment (GRACE) are two examples of satellite missions planned to fix the problem of the gaps in the current satellite-based precipitation and total water storage data, respectively [67, 68]. Nowadays, the quality and resolution of satellite images are significantly improved [69, 70]. Figure 7 shows the image of the Gulf of St. Lawrence from the TIROS-1 weather satellite (1970s) and Suomi National Polar-orbiting Partnership (S-NPP) satellite. As can be seen, there is a remarkable improvement in the quality and resolution of the image from 1970s up to 2013. The improvement in satellites has helped understand hydrological phenomena such as glacial lake outburst flood [71] and soil erosion [72], which were difficult to study in the past [71].
The image of the Gulf of St. Lawrence from the (left) TIROS-1 weather satellite (1970s) and (right) S-NPP satellites (2013) [9].
Today, new technologies such as microwave sensors (Figure 8a) and drones (Figure 8b) allow to monitor extreme events (e.g., floods, droughts, and hurricanes) and mitigate their damage on the environment, infrastructures, and critical resources [9].
(a) A monitoring site which is equipped with microwave sensors to provide real-time measurements of water level for forecasting storm surge [9], and (b) NASA’s drone (Sierra) for remote sensing sampling in inaccessible regions such as polar regions, mountaintops, and open waters [70].
Weather models were developed at the end of 20th century and beginning of 21st century. The first real-time medium-range forecasting model was developed by the European Centre for Medium-Range Weather Forecasts (ECMWF) in 1979. The Intergovernmental Panel on Climate Change (IPCC) was founded in 1988 by the United Nation (UN) to monitor climate change, and its economic, social and environmental impacts across the world. In the 1990s, the Weather Research and Forecasting (WRF) model was developed by simulating the atmospheric processes. This model has been used in more than 150 countries around the world to simulate the atmosphere via real-time data [9]. In 2002, the Aviation Model (AVN) was developed by the National Centers for Environmental Prediction (NCEP) for short-range weather forecasting. This model (called the Global Forecasting System, GFS) is the leading forecasting model in the US [69]. A review of history of hydrometeorology is provided in Appendix A as supplementary materials.
Recent advances in active and passive remote sensing systems have created new cost-effective opportunities for meteorological applications. The new generation of satellites (e.g., Soil Moisture Active Passive (SMAP), Meteosat Third Generation (MTG), Himawari-9, and FY-4B satellites) allows monitoring the earth and atmosphere with higher spatial and temporal resolution. Progresses in technology have also improved field instruments used to collect weather data. In addition, numerical models have become more advanced as new theories and concepts were incorporated into them, allowing them to simulate hydrometeorological processes more accurately. At present, three-dimensional coupled atmosphere–ocean models use remotely sensed and in-situ observations to forecast weather up to ten-days ahead [9].
Weather modification by cloud seeding and aerosols spreading is one of the emerging trends to decelerate the threats associated with global warming [73]. The main purpose of cloud seeding and aerosols spreading is to alter rainfall patterns [73]. However, these methods are expensive and have not yet reached a practically acceptable level. In addition, the amount of precipitation that reaches the land surface is often negligible. This happens because snowfalls and/or light drizzles generated by the stratiform clouds are evaporated prior to reaching the ground level. To overcome this issue, stratocumulus clouds should be created that can have a global impact [74]. On the other hand, a number of scientists hypothesize that the weather modification can cause climate change and may lead to extreme weather events such as drought and flood [73, 75]. Some hydrometeorologists believe that the chemicals used in cloud seeding are dangerous for human health because of their toxicity and damage the ozone layer [75]. Moreover, the increase of particulate matters in the weather modification process may change the color of the sky from blue to gray [75].
Applying the science of hydrometeorology to real-world problems is another emerging trend. It is called operational hydrometeorology and deals with the application of hydrometeorology to real-time operational systems. The major components in an operational prediction system are monitoring equipment, meteorological and hydrological forecasting models, demand (water supply) prediction models, and decision support tools [76, 77]. The difficulty of forecasting rainfall has become a main challenge in the development of operational hydrometeorology [76]. There have been some attempts to overcome this issue. For example, the Flood Forecasting Center (FFC) was established in England and Wales in 2009 to forecast rainfall. A number of scientists used inverse modeling to predict rainfall [78, 79, 80, 81]. For example, they assimilated river discharge observations within an ensemble data assimilation framework to predict rainfall [82, 83, 84]. Similarly, several studies assimilated soil moisture observations into water balance models to improve rainfall predictions [85, 86, 87, 88, 89, 90, 91].
Using low-cost sensors for flash flood forecasting [78], and application of hydrometeorology in marine sciences [92] and urban environment [80, 81] are other emerging trends.
About 90% of disasters in the world during 1995–2015 were related to weather [93]. During this period, more than 600,000 people died, and more than 4 billion others were evacuated or injured because of weather-related hazardous events. The annual cost of damages caused by weather and climate extremes at the global scale is about $300 billion. Most disasters have been observed in the US, China, India, Philippines, and Indonesia [93].
Modern technologies such as advanced weather balloons, radars, satellites, and mathematical and numerical models have allowed to mitigate the impact of weather-related disasters on human beings and environment. In addition, innovative hydrometeorological devices and synoptic stations have provided concrete weather data to further lessen the effect of extreme weather events.
Despite these advances, the complexity of climate requires the development of more accurate models and instruments to manage the natural disasters more efficiently [9]. Overall, the future of the science of meteorology and hydrometeorology relies on new sophisticated instruments and prediction models, which enhance our ability to forecast weather and mitigate related hazards [9]. Having said that, the fourth industrial revolution (IR 4.0) may help the science of hydrometeorology by developing microchips, microcontrollers and more accurate sensors (i.e., multi-sensor meteorology) that can be utilized in weather sites [94, 95, 96, 97, 98, 99].
Today, hydrometeorologists take advantage of satellite data at different spatial and temporal scales [100, 101]. Artificial intelligence (AI) and machine learning (ML) approaches can use long-term remotely sensed data from satellites to improve weather prediction and climate modeling capabilities [102, 103, 104]. Also, the advancement in Internet of Things (IoT) will make real-time data observations more precise [105, 106, 107, 108].
This study provides a thorough review of the historical evolution of the science of hydrometeorology and its significant milestones from past civilizations to contemporary times. Hence, it can expand our knowledge of the advances in hydrometeorology through different centuries. In the past civilizations, the first steps were taken to understand weather changes. Today, the availability of robust numerical models, remote sensing data, and high computational capabilities have allowed humankind to predict meteorological and climatological events. Five major periods are considered in this study: 1) the prehistoric, 2) the archaic and medieval, 3) the early and mid-modern, 4) the modern, and finally 5) the contemporary periods. The key advancements and achievements in each period are presented.
The theocratic explanation of meteorology was dominant until the 7th century BC. In the prehistoric period, weather was unpredictable. Also, religion, folklore, tradition, culture, and beliefs were the main elements for studying hydrometeorology. In the late Archaic times, the Ionian philosophers explained hydrometeorological processes for the first time. Beginning in the historical period, Anaxagoras (ca 500–428 BC) used the ideas of the Ionian philosophers to develop rain gauge instruments in Athens. Also, in this period, the first evidence of measuring rainwater was seen in Greece and India. Later, Plato (ca 428–348 BC) developed the concept of the hydrological cycle in his academy in Athens. In the early Hellenistic times, Theophrastus of Eresos (ca 371–287 BC) wrote the book Signs De Signis Tempestatum, which was the first weather forecasting manual.
From 27 BC to 200 AD, Pomponius Mela, the Roman Emperor in Spain, worked on geographical maps and divided the earth into five climate zones. Investigating weather and atmospheric phenomena was almost stopped from the end of the Roman period to the Middle Ages of the Renaissance. However, there were considerable attempts from ca 1400 to 1900 AD to monitor hydrometeors and forecast weather by meteorological instruments, which were invented during this period.
From 1950 until present, theoretical approaches and mathematical analyses have been extensively used in the science of hydrometeorology. Sophisticated instruments have been developed to measure hydrometeorological variables. Computers have been utilized to solve complex mathematical equations and run numerical models to understand meteorological phenomena in the light of the application of meteorological theories (e. g., the application of heat and mass transfer theories to analyze evaporation).
The development of research and education in the field of hydrometeorology began after the Second World War, and accelerated with the formation of the World Meteorological Organization (WMO) in 1951. Scientists in the modern era have provided foundations for hydrometeorological investigations and instrumentations in a universal scale. Their efforts have improved humans’ understanding of atmospheric phenomena.
The perspectives in the field of hydrometeorology are promising. This is mainly due to the advances in sensors and instrumentation, computational capabilities, remote sensing systems, data mining techniques, information and communication technologies (ICTs), decision support systems (DSS), and deep learning approaches. Although the science of hydrometeorology has significantly improved recently, there is still lack of adequate knowledge to accurately forecast extreme hydrometeorological events.
Prehistoric times (ca 3500–750 BC) | |
Ca 3500 BC | “Astrometeorology” emerged in Babylon. The sensitivity of humans to weather increased because they no longer migrated |
Ca 3500 BC | Early Egyptians established sky-religion and rainmaking rituals |
Ca 3000 BC | Nilometers were used to record water levels in the Nile River |
Ca 1800 BC | Nilometers were developed at the second cataract of the Nile River |
Ca 1750 BC | Water codes of King Hammurabi (ca 1792–1750 BC), which consisted of 282 regulations |
Ca 740 BC | Nabu-nasir (ca 747–734 BC) regularly recorded movement and location of the moon. He also noted the times of sunrises, sunsets, and eclipses |
Historical to medieval times (ca 750 BC-1400 AD) | |
Ca 600 BC | The Thales of Miletus (ca 624–546), the founder of Ionian Stoa (School), is considered to be the father of natural philosophy and water science. He introduced the hydrologic cycle. He also presented a physical exegesis for the Nile flooding during summer time when rainfall in Egypt was minimal. |
Ca 570 BC | Anaximander (ca 610–546 BC) explained the relationship between rainfall and evaporation in his book entitled “On Nature”. The first known work on the natural philosophy. |
Ca 550 BC | Anaximenes (585–528 BC) explained the formation of winds, clouds, rainfalls, and hails |
End of ca 5th BC | Xenophanes (ca 570–475 BC) expressed the concept of hydrological cycle and the role of sea in it. |
Ca 500 BC | First attempts to measure rainfall in Greece |
Ca 465 BC | Anaxagoras (ca 500–428 BC) transferred the ideas of the Ionian philosophers to the Athenians. He also explained the formation of hailstorms. |
Ca 400 BC | The first measurements of rain fall in India |
Ca 400 BC | Hippocrates of Cos (ca 460–370 BC) studied the effects of climate and environment on human health in his treatise on Airs, Waters, and Places |
Ca 387 BC | The Platonic Academy was founded by Plato (ca 428–348 BC). The concept of hydrological cycle was developed in that academy |
Ca 345 BC | Aristotle (ca 384–322 BC) founded the Lykeion of Aristotle, also known as the “Peripatec School” |
Ca 340 BC | Aristotle summarized his meteorological knowledge in his book entitled Meteorologica. |
Ca 332 BC | Alexandria was founded in a small ancient Egyptian town by Alexander the Great |
Ca 330 BC | Theophrastus of Eresos, Lesbos (ca 371–287 BC) Book on Signs De Signis Tempestatum is considered as the first weather forecasting manual |
Ca 300 BC | Theophrastus On Winds (De Ventis) accepted the Presocratic’s hypothesis of wind’s origin. He also introduced a basic understanding of atmospheric pressure |
Ca 250 BC | Archimedes (ca 287–212 BC) explained the buoyancy principle |
Ca 240 BC | Eratosthenes (ca 276–194 BC) reported that the earth is a globe with the circumference of 40,000 km |
Ca 240 BC | Philo of Byzantium (ca 280–220 BC) invented a device that measured the expansion and contraction of air as it warmed up and cooled down, respectively. |
Ca 25 AD | In Spain, the Pomponius Mela, Roman Emperor introduced the climate zone systems |
Ca 60 AD | Hero (Heron) of Alexandria (ca 10–75 AD) is mostly known as an engineer and designed a basic thermometer. Also, his treatise Pneumatica (Pneumatics) advanced the science of physics |
Ca 70 AD | In Rome, Gaius Pliny Secundus (Pliny the Elder) (ca 23/24–79 AD) developed the encyclopedic Natural History, which later became an editorial version for encyclopedias |
Ca 200 AD | In Tunisia, the Quintus Septimus Florens Tertullianus (160–225 AD) ended the observation-based science, and began the “sacred science” based on the “authority” of scripture |
Ca 380 AD | Based on the prophecies of Isaiah and the Epistle to the Ephesians, St. Jerome (ca 347–420 AD) considered a doctrine of the diabolical origin of storms. |
Ca 400 AD | In Algeria, St. Augustine, Bishop of Hippo (354–430 AD) whole heartedly supported the diabolical origin of storms. |
Ca 900 AD | Chinese weighted charcoals to measure the air moisture |
Ca 1000 AD | Ibn Wahshiyya translated the book entitled “Nabataean Agriculture”. The importance of weather forecasting for agriculture was discussed in this book. |
Ca 1247 AD | Gauges (made of large bamboo segments) were used to measure precipitation in China |
Ca 1328 AD | William of Ockham (1285–1347 AD) attempted to advance natural sciences and atmospheric physics by improving the quality of observations. |
Ca 1300 AD - 1400 AD | Air temperature (1400 BC) and rainfall (1216 BC) were recorded in ancient China |
Early and mid-modern times (ca 1400–1800) | |
Ca 1442 | A simple cylindrical container was used to collect precipitation in Korea |
Ca 1450 | Leon Battista Alberti invented a flat plate anemometer in Italy |
Ca 1450 | Nicholas of Cusa invented a hygroscopic hygrometer |
Ca 1500 | Leonardo Da Vinci (1452–1519) improved the hygrometer, which was developed by Nicholas of Cusa |
Ca 1593 | Galileo Galilei (1564–1642) invented a thermometer in Italy |
Ca 1639 | Benedetto Castelli (1578–1643) constructed the first scientific rain gauge in Italy and Europe |
Ca 1643 | Evangelista Torricelli (1608–1647) invented the barometer |
Ca 1648 | Blaise Pascal (1623–1662) invented a barometer based on variations of atmospheric pressure with altitude |
Ca 1660 | Francesco Folli (1624–1685) created a paper-ribbon hygrometer, called Mostra Umidaria |
Ca 1663 | Robert Hooke (1635–1703) collaborated with Sir Christopher Wren to build the first automatic rain gauge called tipping bucket rain gauge. However, the first measurements of rainfall were done by Richard Towneley (1677–1704 AD) |
Ca 1665 | Grand Duke Ferdinand II de’ Medici (1610–1670) created the condensation hygrometer |
Ca 1667 | Robert Hooke invented the anemometer |
Ca 1670 | Robert Hooke invented the first mercury glass-thermometer |
Ca 1675 | Horace-Benedict de Saussure (1740–1799) created the first hair hygrometer |
Ca 1687 | Isaac Newton (1643–1727) detailed his three laws of motion |
Ca 1743 | Benjamin Franklin (1706–1790) realized the northeastward movement of a hurricane from eclipse observations at Philadelphia and Boston. |
Ca 1777 | David Dobson developed the ideas to measure evaporation and raindrop size |
Modern times (1800–1900) | |
1818 | Ernst Ferdinand August (1795–1870) developed ideas to create psychrometer |
1820 | John Frederic Daniell (1790–1845) invented a new hygrometer, called dew point hygrometer |
1850 | The British Meteorological Society was established and then renamed to Royal Meteorological Society (RMS) |
1860 | Meteorological observations were being made routinely by the Met Office in London |
1861 | William Jevons (1835–1882) reduced errors in rainfall measurements using a wind shield for rain gauges |
1861 | The Met Office began reporting weather forecasts for the public in England |
1867 | Father Secchi invented the first Meteorograph |
1870’s | Weather observations from 20 stations were transmitted to Washington DC via telegraph |
1870 | President Ulysses S. Grant established a weather bureau, which is now called the National Weather Service (NWS) |
1870 | Alexander Wilson used weather balloons in the UK to collect weather information |
1873 | The International Meteorological Organization was formed. It is now named the World Meteorological Organization (WMO) and is an entity of the United Nations |
1879 | George James Symons (1838–1900) expanded Jevons’ theory and founded the British Rainfall Organization |
1880’s | The Meteorological Society of Japan were formed |
1894 | Weather kits were used to collect air temperature, pressure, humidity and wind speed at higher altitudes |
1896 | |
1898 | The Richard brothers of France invented barothermograph |
Contemporary times (1900-present) | |
1907 | Hugo Hildebrand Hildebrandsson (1838–1925) published his book entitled International Cloud Atlas and developed seasonal forecasts of clouds |
1920’s | Concepts of air masses and fronts were formulated by the Norwegian meteorologists. They developed a theory for the evolution of mid-latitude cyclones, which is still in use today |
1921 | Hydrometeorological Center of Russia was formed in Moscow |
1921 | The first weather radio broadcasts were made in the US |
1922 | Lewis Fry Richardson used numerical methods to forecast air temperature and humidity |
1941 | The US broadcasted the first TV program on weather forecast |
1950 | Jule Charney ran his meteorological algorithms by a computer called the Electronic Numerical Integrator And Computer (ENIAC) |
1954 | The first radar weather station was built in New Orleans, the US |
1959 | The Met Office created a computer (called Meteor), which was able to conduct 30,000 calculations every second |
1960 | The first weather satellite, called the Thermal Infrared Observation Satellite (TIROS), was launched by the US |
1970’s | NASA lunched geosynchronous weather satellites |
1979 | The first real-time medium-range forecasting model was developed by the European Centre for Medium-Range Weather Forecasts (ECMWF) |
1988 | The Intergovernmental Panel on Climate Change (IPCC) was founded by the United Nation |
1990’s | The NWS was modernized. The Weather Research and Forecasting (WRF) Model was developed. |
2002 | The Aviation Model (AVN) was created for short-range weather forecasting. This model, called the Global Forecasting System (GFS), is the leading forecasting model in the US. |
2015 | A new generation of supercomputers with the ability to perform over 10,000 trillion calculations per second was developed. |
Milestones in hydrometeorology in the (1) prehistoric times (ca 3500–750 BC), (2) historical to medieval times (ca 750 BC-1400 AD), (3) early and mid-modern times (ca 1400–1800), (4) modern times (1800–1900), and (5) contemporary times (1900-present).
Authors are listed below with their open access chapters linked via author name:
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