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 [...]

Bibliographic Details
Main Authors: Huidae Cho, Lorena Liuzzo
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Hydrology
Subjects:
n/a
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 [...]
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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