Development and verification of a new wind speed forecasting system using an ensemble Kalman filter data assimilation technique in a fully coupled hydrologic and atmospheric model-Reference-Cited by-同舟云学术

Development and verification of a new wind speed forecasting system using an ensemble Kalman filter data assimilation technique in a fully coupled hydrologic and atmospheric model

Published:2013-11-06 Issue:4 Volume:5 Page:785-800
ISSN:1942-2466
Container-title:Journal of Advances in Modeling Earth Systems
language:en
Short-container-title:J. Adv. Model. Earth Syst.

Author:

Williams John L.¹²,Maxwell Reed M.¹³,Monache Luca Delle⁴

Affiliation:

1. Hydrologic Science and Engineering Program; Department of Geology and Geological Engineering; Colorado School of Mines; Golden Colorado USA

2. Meteorological Institute; University of Bonn; Bonn Germany

3. Integrated Groundwater Modeling Center; Colorado School of Mines; Golden Colorado USA

4. Research Applications Laboratory; National Center for Atmospheric Research; Boulder Colorado USA

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

Reference61 articles.

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5. A parallel multigrid preconditioned conjugate gradient algorithm for groundwater flow simulations;Ashby;Nucl. Sci. Eng.,1996

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