Editorial for Special Issue: “Multi-Source Data Assimilation for the Improvement of Hydrological Modeling Predictions”
Physically-based or process-based hydrologic models play a critical role in hydrologic forecasting [...]
Main Authors: | , |
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Format: | Article |
Language: | English |
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MDPI AG
2021-12-01
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Series: | Hydrology |
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Online Access: | https://www.mdpi.com/2306-5338/9/1/4 |
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author | Huidae Cho Lorena Liuzzo |
author_facet | Huidae Cho Lorena Liuzzo |
author_sort | Huidae Cho |
collection | DOAJ |
description | Physically-based or process-based hydrologic models play a critical role in hydrologic forecasting [...] |
first_indexed | 2024-03-10T01:22:11Z |
format | Article |
id | doaj.art-adc38912a7634ab3ba7ee96b4e657a1d |
institution | Directory Open Access Journal |
issn | 2306-5338 |
language | English |
last_indexed | 2024-03-10T01:22:11Z |
publishDate | 2021-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Hydrology |
spelling | doaj.art-adc38912a7634ab3ba7ee96b4e657a1d2023-11-23T13:58:22ZengMDPI AGHydrology2306-53382021-12-0191410.3390/hydrology9010004Editorial for Special Issue: “Multi-Source Data Assimilation for the Improvement of Hydrological Modeling Predictions”Huidae Cho0Lorena Liuzzo1Institute for Environmental and Spatial Analysis, University of North Georgia, Oakwood, GA 30566, USAFacoltà di Ingegneria ed Architettura, Università degli Studi di Enna Kore, 94100 Enna, ItalyPhysically-based or process-based hydrologic models play a critical role in hydrologic forecasting [...]https://www.mdpi.com/2306-5338/9/1/4n/a |
spellingShingle | Huidae Cho Lorena Liuzzo Editorial for Special Issue: “Multi-Source Data Assimilation for the Improvement of Hydrological Modeling Predictions” Hydrology n/a |
title | Editorial for Special Issue: “Multi-Source Data Assimilation for the Improvement of Hydrological Modeling Predictions” |
title_full | Editorial for Special Issue: “Multi-Source Data Assimilation for the Improvement of Hydrological Modeling Predictions” |
title_fullStr | Editorial for Special Issue: “Multi-Source Data Assimilation for the Improvement of Hydrological Modeling Predictions” |
title_full_unstemmed | Editorial for Special Issue: “Multi-Source Data Assimilation for the Improvement of Hydrological Modeling Predictions” |
title_short | Editorial for Special Issue: “Multi-Source Data Assimilation for the Improvement of Hydrological Modeling Predictions” |
title_sort | editorial for special issue multi source data assimilation for the improvement of hydrological modeling predictions |
topic | n/a |
url | https://www.mdpi.com/2306-5338/9/1/4 |
work_keys_str_mv | AT huidaecho editorialforspecialissuemultisourcedataassimilationfortheimprovementofhydrologicalmodelingpredictions AT lorenaliuzzo editorialforspecialissuemultisourcedataassimilationfortheimprovementofhydrologicalmodelingpredictions |