Detailed Overview of the Multimodel Multiproduct Streamflow Forecasting Platform
We present a detailed overview of the Multi-model Multi-product Streamflow Forecasting (MMSF) Platform, which has been developed recently at the University of Arizona under the NASA SERVIR Program, to ease its operational implementation. The platform is based on the use of multiple hydrologic models...
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okr-10986-357502021-07-20T18:57:53Z Detailed Overview of the Multimodel Multiproduct Streamflow Forecasting Platform Roy, Tirthankar Valdes, Juan B. Serrat-Capdevila, Aleix Durcik, Matej Demaria, Eleonora M.C. Valdes-Pineda, Rodrigo Gupta, Hoshin V. HYDROLOGY STREAMFLOW MONITORING PRECIPTATION WEATHER FORECASTING RIVER BASIN DEVELOPMENT We present a detailed overview of the Multi-model Multi-product Streamflow Forecasting (MMSF) Platform, which has been developed recently at the University of Arizona under the NASA SERVIR Program, to ease its operational implementation. The platform is based on the use of multiple hydrologic models, satellite-based precipitation products, advanced bias correction schemes, model calibration, and probabilistic model averaging, with the goal of improving forecast accuracy and better-characterizing forecast uncertainties, especially in poorly gauged basins. This paper includes a brief description of the platform, followed by all the relevant information a user would need to implement the platform on any new river basin. 2021-06-14T16:45:17Z 2021-06-14T16:45:17Z 2020-10-01 Journal Article Journal of Applied Water Engineering and Research http://hdl.handle.net/10986/35750 CC BY-NC-ND 3.0 IGO http://creativecommons.org/licenses/by-nc-nd/3.0/igo World Bank Taylor and Francis Publications & Research :: Journal Article Publications & Research |
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topic |
HYDROLOGY STREAMFLOW MONITORING PRECIPTATION WEATHER FORECASTING RIVER BASIN DEVELOPMENT |
spellingShingle |
HYDROLOGY STREAMFLOW MONITORING PRECIPTATION WEATHER FORECASTING RIVER BASIN DEVELOPMENT Roy, Tirthankar Valdes, Juan B. Serrat-Capdevila, Aleix Durcik, Matej Demaria, Eleonora M.C. Valdes-Pineda, Rodrigo Gupta, Hoshin V. Detailed Overview of the Multimodel Multiproduct Streamflow Forecasting Platform |
description |
We present a detailed overview of the Multi-model Multi-product Streamflow Forecasting (MMSF) Platform, which has been developed recently at the University of Arizona under the NASA SERVIR Program, to ease its operational implementation. The platform is based on the use of multiple hydrologic models, satellite-based precipitation products, advanced bias correction schemes, model calibration, and probabilistic model averaging, with the goal of improving forecast accuracy and better-characterizing forecast uncertainties, especially in poorly gauged basins. This paper includes a brief description of the platform, followed by all the relevant information a user would need to implement the platform on any new river basin. |
format |
Journal Article |
author |
Roy, Tirthankar Valdes, Juan B. Serrat-Capdevila, Aleix Durcik, Matej Demaria, Eleonora M.C. Valdes-Pineda, Rodrigo Gupta, Hoshin V. |
author_facet |
Roy, Tirthankar Valdes, Juan B. Serrat-Capdevila, Aleix Durcik, Matej Demaria, Eleonora M.C. Valdes-Pineda, Rodrigo Gupta, Hoshin V. |
author_sort |
Roy, Tirthankar |
title |
Detailed Overview of the Multimodel Multiproduct Streamflow Forecasting Platform |
title_short |
Detailed Overview of the Multimodel Multiproduct Streamflow Forecasting Platform |
title_full |
Detailed Overview of the Multimodel Multiproduct Streamflow Forecasting Platform |
title_fullStr |
Detailed Overview of the Multimodel Multiproduct Streamflow Forecasting Platform |
title_full_unstemmed |
Detailed Overview of the Multimodel Multiproduct Streamflow Forecasting Platform |
title_sort |
detailed overview of the multimodel multiproduct streamflow forecasting platform |
publisher |
Taylor and Francis |
publishDate |
2021 |
url |
http://hdl.handle.net/10986/35750 |
_version_ |
1764483699883114496 |