Comparison of sequential and variational assimilation methods to improve hydrological predictions in snow dominated mountainous catchments
Author:
Funder
España Ministerio de Ciencia Innovación y Universidades
European Cooperation in Science and Technology
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference56 articles.
1. Comparison of Sequential and Variational Streamflow Assimilation Techniques for Short-Term Hydrological Forecasting;Abaza;J. Hydrol. Eng.,2014
2. An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction;Ajami;Water Resour. Res.,2007
3. Moving horizon estimation for assimilating H-SAF remote sensing data into the HBV hydrological model;Alvarado-Montero;Adv. Water Resour.,2016
4. Evaluation of the MODIS snow cover fraction product;Arsenault;Hydrol. Process.,2014
5. Prelaunch characteristics of the Moderate Resolution Imaging Spectroradiometer (MODIS) on EOS-AM1;Barnes;IEEE Trans. Geosci. Remote Sens.,1998
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