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Thanh Thi Luong, Ivan Vorobevskii, Judith Pöschmann, Rico Kronenberg, Daniel Gliksman and Christian Bernhofer
Quality of water balance estimations are strongly dependent on the precipitation input. The key limitation here is typically a lack of spatial representation in precipitation data. Quantitative precipitation estimation (QPE) using radar is recognized as ...
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Nathaporn Areerachakul, Sethakarn Prongnuch, Peeranat Longsomboon and Jaya Kandasamy
This study of the Quantitative Estimation Precipitation (QEP) of rainfall, detected by two Meteorology Radars over Chi Basin, North-east Thailand, used data from the Thai Meteorological Department (TMD). The rainfall data from 129 rain gauge stations in ...
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Muhammad Usman, Rodrigo Manzanas, Christopher E. Ndehedehe, Burhan Ahmad, Oluwafemi E. Adeyeri and Cornelius Dudzai
This work evaluates the suitability of linear scaling (LS) and empirical quantile mapping (EQM) bias correction methods to generate present and future hydrometeorological variables (precipitation, temperature, and streamflow) over the Chitral River Basin...
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Demetris Koutsoyiannis and Alberto Montanari
Bluecat is a recently proposed methodology to upgrade a deterministic model (D-model) into a stochastic one (S-model), based on the hypothesis that the information contained in a time series of observations and the concurrent predictions made by the D-mo...
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Edwin Pino-Vargas, Eduardo Chávarri-Velarde, Eusebio Ingol-Blanco, Fabricio Mejía, Ana Cruz and Alissa Vera
Global projections of climate change indicate negative impacts on hydrological systems, with significant changes in precipitation and temperature in many parts of the world. As a result, floods and droughts are expected. This article discusses the potent...
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