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Lijun Jin, Changsheng Yan, Baojun Yuan, Jing Liu and Jifeng Liu
The source area of the Yellow River (SAYR) in China is an important water yield and water-conservation area in the Yellow River. Understanding the variability in rainfall and flood over the SAYR region and the related mechanism of flood-causing rainfall ...
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Nuaman Ejaz, Aftab Haider Khan, Muhammad Shahid, Kifayat Zaman, Khaled S. Balkhair, Khalid Mohammed Alghamdi, Khalil Ur Rahman and Songhao Shang
Satellite precipitation products (SPPs) are undeniably subject to uncertainty due to retrieval algorithms and sampling issues. Many research efforts have concentrated on merging SPPs to create high-quality merged precipitation datasets (MPDs) in order to...
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Nunziarita Palazzolo, David J. Peres, Brunella Bonaccorso and Antonino Cancelliere
Assessing and monitoring the spatial extent of drought is of key importance to forecasting the future evolution of drought conditions and taking timely preventive and mitigation measures. A commonly used approach in regional drought analysis involves spa...
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Susen Shrestha, Mattia Zaramella, Mattia Callegari, Felix Greifeneder and Marco Borga
This study aims to evaluate the potential of ERA5 precipitation and temperature reanalysis for snow water equivalent (SWE) simulation by considering the role of catchment spatial scale in controlling the errors obtained by comparison with corresponding S...
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Francesco Chiaravalloti, Tommaso Caloiero and Roberto Coscarelli
Nowadays, the Mediterranean region is generally recognized as a climate change hot spot given its strong response to global warming, with relevant impacts on rainfall amount and distribution. Within this context, in this work the temporal variability of ...
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Kingsley Nnaemeka Ogbu, Oldrich Rakovec, Pallav Kumar Shrestha, Luis Samaniego, Bernhard Tischbein and Hadush Meresa
Hydrologic modeling in Nigeria is plagued by non-existent or paucity of hydro-metrological/morphological records, which has detrimental impacts on sustainable water resource management and agricultural production. Nowadays, freely accessible remotely sen...
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Andre D. L. Zanchetta, Paulin Coulibaly and Vincent Fortin
The use of machine learning (ML) for predicting high river flow events is gaining prominence and among its non-trivial design decisions is the definition of the quantitative precipitation estimate (QPE) product included in the input dataset. This study p...
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Panayiotis Dimitriadis, Aristoteles Tegos and Demetris Koutsoyiannis
The stochastic structures of potential evaporation and evapotranspiration (PEV and PET or ETo) are analyzed using the ERA5 hourly reanalysis data and the Penman?Monteith model applied to the well-known CIMIS network. The latter includes high-quality grou...
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Mirce Ivón Morales-Velázquez,Graciela del Socorro Herrera,Javier Aparicio,Arezoo Rafieeinasab,René Lobato-Sánchez
Pág. 189 - 206
Accurate precipitation data is essential for any hydrometeorological study, particularly for calibration and simulation of hydrological models. In this paper, we evaluate the precipitation of two different reanalysis products (the ERA5 and GLDAS), and tw...
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Lingli Fan, Guangya Zhang and Jianjun Xu
In this paper, precipitation data from the Tropical Rainfall Measuring Mission (TRMM), together with atmospheric reanalysis data, are employed to identify warm-season precipitation (1998?2014) changes and their association with rapid urbanization in sout...
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