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Niloufar Beikahmadi, Antonio Francipane and Leonardo Valerio Noto
Accurate precipitation estimation remains a challenge, though it is fundamental for most hydrological analyses. In this regard, this study aims to achieve two objectives. Firstly, we evaluate the performance of two precipitation products from the Integra...
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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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Na Zhao
Accurate estimation of precipitation is critically important for a variety of fields, such as climatology, meteorology, and water resources. However, the availability of precipitation measurements has proved to be spatially inadequate for many applicatio...
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Soroush Zarghami Dastjerdi, Ehsan Sharifi, Rozita Rahbar and Bahram Saghafian
Climate change, urbanization, and a growing population have led to a rapid increase in groundwater (GW) use. As a result, monitoring groundwater changes is essential for water managers and decision-makers. Due to the lack of reliable and insufficient in ...
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Md Abul Ehsan Bhuiyan, Feifei Yang, Nishan Kumar Biswas, Saiful Haque Rahat and Tahneen Jahan Neelam
The Integrated Multisatellite Retrievals for Global Precipitation Measurement (GPM) (IMERG) Level 3 estimates rainfall from passive microwave sensors onboard satellites that are associated with several uncertainty sources such as sensor calibration, retr...
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Jiaying Zhang, Liao-Fan Lin and Rafael L. Bras
Precipitation estimates from numerical weather prediction (NWP) models are uncertain. The uncertainties can be reduced by integrating precipitation observations into NWP models. This study assimilates Version 04 Integrated Multi-satellite Retrievals for ...
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Ehtesham Ahmed, Firas Al Janabi, Jin Zhang, Wenyu Yang, Naeem Saddique and Peter Krebs
Water resources planning and management depend on the quality of climatic data, particularly rainfall data, for reliable hydrological modeling. This can be very problematic in transboundary rivers with limited disclosing of data among the riparian countr...
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Shuai Xiao, Jun Xia and Lei Zou
Against the background of global climate change and anthropogenic stresses, extreme climate events (ECEs) are projected to increase in both frequency and intensity. Precipitation is one of the main climate parameters for ECE analysis. However, accurate p...
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Tze Huey Tam, Muhammad Zulkarnain Abd Rahman, Sobri Harun, Muhammad Nassir Hanapi and Ismaila Usman Kaoje
The advent of satellite rainfall products can provide a solution to the scarcity of observed rainfall data. The present study aims to evaluate the performance of high spatial-temporal resolution satellite rainfall products (SRPs) and rain gauge data in h...
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Cunjin Xue, Jingyi Liu, Guanghui Yang and Chengbin Wu
Extreme rainstorms have important socioeconomic consequences, but understanding their fine spatial structures and temporal evolution still remains challenging. In order to achieve this, in view of an evolutionary property of rainstorms, this paper design...
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