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Social Sciences » "Approaches to Disaster Management - Examining the Implications of Hazards, Emergencies and Disasters", book edited by John Tiefenbacher, ISBN 978-953-51-1093-4, Published: April 17, 2013 under CC BY 3.0 license. © The Author(s).

Chapter 4

Improved Disaster Management Using Data Assimilation

By Paul R. Houser
DOI: 10.5772/55840

  1. P Houser, 2002Air and Water Monitoring for Homeland Security, Earth Observation Magazine, 1183336

  2. P Houser, M. F Hutchinson, P Viterbo, Hervé Douville, J., and Running, S. W. 2004Terrestrial data assimilation, Chapter C.4 in Vegetation, Water, Humans and the Climate. Global Change- The IGB Series. Kabat, P. et al. (eds). Springer, Berlin.

  3. J. P Walker, and P. R Houser, 2005Hydrologic Data Assimilation, In: A. Aswathanarayana (Ed.), Advances in Water Science Methodologies, A.A. Balkema, TheNetherlands, 230pp.

  4. J. G Charney, M Halem, and R Jastrow, 1969Use of incomplete historical data to infer the present state of the atmosphere. J. Atmos. Sci., 2611601163

  5. R Daley, 1991Atmospheric data analysis. Cambridge University Press, 460 pp.

  6. A. F Bennett, 1992Inverse methods in physical oceanography. Cambridge University Press, 346 pp.

  7. P. R Houser, G De Lannoy, and J. P Walker, Land Surface Data Assimilation, p549598In: Lahoz, W., Khatattov, B. and Menard, R. (Eds.), Data Assimilation: Making sense of observations, Springer, The Netherlands, 2010pp.

  8. WMO1992Simulated real-time intercomparison of hydrological models (Tech. Rep. 38Geneva.

  9. P. R Houser, W. J Shuttleworth, J. S Famiglietti, H. V Gupta, K. H Syed, and D. C Goodrich, 1998Integration of soil moisture remote sensing and hydrologic modeling using data assimilation. Water Resour. Res., 3434053420

  10. [10] J. P Walker, G. R Willgoose, and J. D Kalma, 2001One-dimensional soil moisture profile retrieval by assimilation of near-surface observations: A comparison of retrieval algorithms. Adv. Water Resour., 24631650

  11. P Bergthorsson, and B Döös, 1955Numerical weather map analysis. Tellus, 7329340

  12. G. P Cressman, 1959An operational objective analysis system. Mon. Weather Rev., 87367374

  13. A. M Bratseth, 1986Statistical interpolation by means of successive corrections. Tellus, 38A, 439447

  14. A. C Lorenc, R. S Bell, and B Macpherson, 1991The Meteorological Office analysis correction data assimilation scheme. Q. J. R. Meteorol. Soc., 1175989

  15. N. K Nichols, 2001State estimation using measured data in dynamic system models, Lecture notes for the Oxford/RAL Spring School in Quantitative Earth Observation.

  16. D. R Stauffer, and N. L Seaman, 1990Use of four-dimensional data assimilation in a limited-area mesoscale model. Part I: Experiments with synoptic-scale data. Mon. Weather Rev., 11812501277

  17. A Lorenc, 1981A global three-dimensional multivariate statistical interpolation scheme. Mon. Weather Rev., 109701721

  18. D Parrish, and J Derber, 1992The National Meteorological Center’s spectral statistical interpolation analysis system. Mon. Weather Rev., 12017471763

  19. R. E Kalman, 1960A new approach to linear filtering and prediction problems. Trans. ASME, Ser. D, J. Basic Eng., 823545

  20. M. R. J Turner, J. P Walker, and P. R Oke, 2007Ensemble Member Generation for Sequential Data Assimilation. Remote Sensing of Environment, 112, doi:10.1016/j.rse.2007.02.042.

  21. I Navon, Data assimilation for numerical weather prediction: A Review; Springer: Berlin, Germany, 2009

  22. L. F Richardson, 1922Weather prediction by numerical processes. Cambridge University Press. Reprinted by Dover (1965, New York).With a New Introduction by Sydney Chapman, xvi+236

  23. J. G Charney, et al1950Numerical integration of the barotropic vorticity equation. Tellus 2237254

  24. E Kalnay, 2003Atmospheric modeling, data assimilation and predictability. Cambridge Univ Press, Cambridge, 341

  25. H. A Panofsky, 1949Objective weather-map analysis. J Appl Meteor 6386392

  26. B Gilchrist, G. P Cressman, 1954An experiment in objective analysis. Tellus 6309318

  27. S. L Barnes, 1964A technique for maximizing details in numerical weather map analysis. J Appl Meteor 3395409

  28. F Rabier, 2005Overview of global data assimilation developments in numerical weather prediction centers. Q J R Meteorol Soc 1316132153233

  29. A. J Simmons, A Hollingsworth, 2002Some aspects of the improvement in skill of numerical weather prediction. Q J R Meteorol Soc 128647677

  30. E. R Kursinski, S. S Leroy, and B Herman, 2000The GPS radio occultation technique. Terr. Atmos. Oceanic Sci., 1153114

  31. Y Kuo, H. , X Zou, W Huang, 1997The impact of GPS data on the prediction of an extratropical cyclone: An observing system simulation experiment. J. Dyn. Atmos. Ocean., 27439470

  32. S-Y Chen, C-Y Huang, Y-H Kuo, Y-R Guo, S Sokolovskiy, 2009Typhoon predictions with GPS radio occultation data assimilations by WRF-VAR using local and nonlocal operators. Terr Atmos Oceanic Sci 20133154

  33. C Huang, Y. , Y. -H Kuo, S. -Y Chen, C. -T Terng, F. -C Chien, P. -L Lin, M. -T Kueh, S. -H Chen, M. -J Yang, C. -J Wang, and A. S. K. A. V. P Rao, 2010Impact of GPS radio occultation data assimilation on regional weather predictions. GPS Solutions, 143549DOI:s10291-009-0144-1.

  34. C. J. M Vermeulen, H. J Barneveld, H. J Huizinga, F. J Havinga, 2005Data-assimilation in flood forecasting using time series and satellite data. International conference on innovation advances and implementation of flood forecasting technology, 1719October 2005, Tromsø, Norway

  35. A. K Mishra, V. P Singh, 2010A review of drought concepts. J Hydrol 39120221

  36. D. A Wilhite, 1992Preparing for Drought: A Guidebook for Developing Countries, Climate Unit, United Nations Environment Program, Nairobi, Kenya.

  37. [37]W. E Riebsame, S. A Changnon, T. R Karl, 1991Drought and Natural Resource Management in the United States: Impacts and Implications of the 1987-1989 Drought. Westview Press, Boulder, CO, 174

  38. D. A Wilhite, Drought as a natural hazard: concepts and definitions. D.A. Wilhite (Ed.), Drought: A Global Assessment, 1RoutledgeNew York (2000118

  39. E. A Bryant, Natural Hazards, Cambridge University Press, Cambridge (1991

  40. B. F Zaitchik, M Rodell, R. H Reichle, 2008Assimilation of GRACE terrestrial water storage data into a land surface model: results for the Mississippi river basin. J. Hydrometeorol. 9535548

  41. R Houborg, M Rodell, B Li, R Reichle, and B Zaitchik, Drought indicators based on model assimilated GRACE terrestrial water storage observations, Wat. Resour. Res., 48, W07525, doi:10.1029/2011WR011291,2012

  42. C Rojas-palma, Data assimilation for off site nuclear emergency management,” Tech. Rep., SCK-CEN, DAONEM final report, RODOS(RA5)-RE(04)-01, 2005

  43. NRC2011Tsunami Warning and Preparedness: An Assessment of the US Tsunami Program and the Nation’s Preparedness Efforts. National Academies Press, Washington, DC, 284 pp.

  44. P. M Whitmore, H Benz, M Bolton, G. L Crawford, L Dengler, G Fryer, J Goltz, R Hansen, K Kryzanowski, S Malone, D Oppenheimer, E Petty, G Rogers, and J Wilson, 2008NOAA/WestCoast and Alaska Tsunami Warning Center Pacific Ocean response criteria. Science of Tsunami Hazards 272121

  45. V. V Titov, F. I Gonz, E. N Alez, M. C Bernard, H. O Eble, J. C Mofjeld, A. J Newman, Venturato (2004Real-time tsunami forecasting: Challenges and solutions. Nat. Haz., 35(1), 41-58.