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David Gampe and Ralf Ludwig
Accurate spatial and temporal representation of precipitation is of utmost importance for hydrological applications. Uncertainties in available data sets increase with spatial resolution due to small-scale processes over complex terrain. As previous stud...
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Mary J. Brodzik, Brendan Billingsley, Terry Haran, Bruce Raup and Matthew H. Savoie
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Mary J. Brodzik, Brendan Billingsley, Terry Haran, Bruce Raup and Matthew H. Savoie
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Georgia Papacharalampous, Hristos Tyralis, Anastasios Doulamis and Nikolaos Doulamis
Merging satellite products and ground-based measurements is often required for obtaining precipitation datasets that simultaneously cover large regions with high density and are more accurate than pure satellite precipitation products. Machine and statis...
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Andreas Groh, Martin Horwath, Alexander Horvath, Rakia Meister, Louise Sandberg Sørensen, Valentina R. Barletta, René Forsberg, Bert Wouters, Pavel Ditmar, Jiangjun Ran, Roland Klees, Xiaoli Su, Kun Shang, Junyi Guo, C. K. Shum, Ernst Schrama and Andrew Shepherd
Satellite gravimetry data acquired by the Gravity Recovery and Climate Experiment (GRACE) allows to derive the temporal evolution in ice mass for both the Antarctic Ice Sheet (AIS) and the Greenland Ice Sheet (GIS). Various algorithms have been used in a...
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Ranjeet Thakali, Ajay Kalra and Sajjad Ahmad
The intensification of the hydrological cycle due to climate change entails more frequent and intense rainfall. As a result, urban water systems will be disproportionately affected by the climate change, especially in such urban areas as Las Vegas, which...
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Pushp Raj Tiwari,Sarat Chandra Kar,Uma Charan Mohanty,Sagnik Dey,Palash Sinha,P. V. S. Raju,M. S. Shekhar
Pág. 129 - 142
Climate prediction over the Western Himalaya is a challenging task due to the highly variable altitude and orientation of orographic barriers. Surface characteristics also play a vital role in climate simulations and need appropriate representation in th...
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Yan Jin, Yong Ge, Haoyu Fan, Zeshuo Li, Yaojie Liu and Yan Jia
Accurate spatial distribution of gridded gross domestic product (GDP) data is crucial for revealing regional disparities within administrative units, thus facilitating a deeper understanding of regional economic dynamics, industrial distribution, and urb...
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