Open access peer-reviewed chapter

Parameter Optimization for Simulating Runoff from Highlatitude River Basins Using Land Surface Model and Global Data Sets

By Yeugeniy M. Gusev and Olga N. Nasonova

Submitted: June 12th 2010Reviewed: September 6th 2010Published: February 28th 2011

DOI: 10.5772/15593

Downloaded: 1035

© 2011 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike-3.0 License, which permits use, distribution and reproduction for non-commercial purposes, provided the original is properly cited and derivative works building on this content are distributed under the same license.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Yeugeniy M. Gusev and Olga N. Nasonova (February 28th 2011). Parameter Optimization for Simulating Runoff from Highlatitude River Basins Using Land Surface Model and Global Data Sets, Stochastic Optimization Ioannis Dritsas, IntechOpen, DOI: 10.5772/15593. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="http://www.intechopen.com/embed/stochastic-optimization-seeing-the-optimal-for-the-uncertain/parameter-optimization-for-simulating-runoff-from-highlatitude-river-basins-using-land-surface-model" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

1035total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Evaluation of Stochastic Global Optimization Methods in the Design of Complex Distillation Configurations

By Julián Cabrera-Ruiz, Erick Yair Miranda-Galindo, Juan Gabriel Segovia-Hernández, Salvador Hernández and Adrián Bonilla-Petriciolet

Related Book

First chapter

Numerical Solution of Many-Body Wave Scattering Problem for Small Particles and Creating Materials with Desired Refraction Coefficient

By M. I. Andriychuk and A. G. Ramm

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

+3,550 Open Access Books

+57,400 Citations in Web of Science

+108,500 IntechOpen Authors and Academic Editors

+560,000 Unique visitors per month

More about us