Results 1 to 10 of about 14,271 (265)
Water Resources Research, 2023 The quality of precipitation (P) and potential evapotranspiration (PET) data greatly affects the hydrological modeling performance. Considerable attention has been paid to identifying the influence of biased P or PET inputs independently.
Jiao Wang +4 more
doaj +2 more sources
Evaluation of Eight Global Precipitation Datasets in Hydrological Modeling
Remote Sensing, 2021 The number of global precipitation datasets (PPs) is on the rise and they are commonly used for hydrological applications. A comprehensive evaluation on their performance in hydrological modeling is required to improve their performance.
Yiheng Xiang +4 more
doaj +3 more sources
Estimating karst groundwater recharge from soil moisture observations – a new method tested at the Swabian Alb, southwest Germany [PDF]
Hydrology and Earth System Sciences, 2023 Understanding groundwater recharge processes is important for sustainable water resource management. Experimental approaches to study recharge in karst areas often focus on analysing the aquifer response using a disintegration of its outlet signals, but ...
R. Berthelin +7 more
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Karst spring recession and classification: efficient, automated methods for both fast- and slow-flow components [PDF]
Hydrology and Earth System Sciences, 2022 Analysis of karst spring recession hydrographs is essential for determining hydraulic parameters, geometric characteristics, and transfer mechanisms that describe the dynamic nature of karst aquifer systems.
T. Olarinoye +3 more
doaj +1 more source
The HBV.IANIGLA Hydrological Model [PDF]
The R Journal, 2021 Fil: Pitte, Pierre. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología,
Ezequiel Toum +4 more
openaire +2 more sources
Pitfalls and a feasible solution for using KGE as an informal likelihood function in MCMC methods: DREAM(ZS) as an example [PDF]
Hydrology and Earth System Sciences, 2022 The Kling–Gupta efficiency (KGE) is a widely used performance measure because of its advantages in orthogonally considering bias, correlation and variability.
Y. Liu +5 more
doaj +1 more source
airGRteaching: an open-source tool for teaching hydrological modeling with R [PDF]
Hydrology and Earth System Sciences, 2023 Hydrological modeling is at the core of most studies related to water, especially for anticipating disasters, managing water resources, and planning adaptation strategies.
O. Delaigue +4 more
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Acta hydrotechnica, 2022 This paper discusses the highly topical issue of forming and using hydrological models. Their significance in water resource management and achieving sustainable development goals is underlined, particularly in the context of climate change. Some shortcomings in hydrological process modelling are pointed out, ones that can significantly affect the ...
Icen Yoosefdoost +3 more
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Evaluating the utility of satellite soil moisture retrievals over irrigated areas and the ability of land data assimilation methods to correct for unmodeled processes [PDF]
Hydrology and Earth System Sciences, 2015 Earth's land surface is characterized by tremendous natural heterogeneity and human-engineered modifications, both of which are challenging to represent in land surface models.
S. V. Kumar +7 more
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Journal of Hydrology: Regional Studies, 2023 Study region: The Yarlung Zangbo River basin (YRB), southwest China. Study focus: The vegetation conditions play a significant role in regulating river runoff under climate change.
Xiaowan Liu +4 more
doaj +1 more source