As a major component of water cycle, the accuracy quantification different precipitation products is critical for evaluating climate change and ecosystem functions. However, lack evidence available to choose precise product in relative applications. Here, solve this limit, we analyze spatiotemporal pattern four products, including CHIRPS V2.0, PERSIANN-CDR, ECMWF ERA5-Land, GLDAS_NOAH025_3H, ov...

The emerging water crisis in India can be preempted by improving watershed management. data scare regions need open access satellite observations to mitigate problems. accounting plus (WA+) and earth observation datasets were applied quantify the beneficial non-beneficial consumption Betwa River basin, Central India. PERSIANN CHIRPS precipitations evaluated. Based on significant statistical rel...

The Wonogiri Reservoir is a multipurpose reservoir at the Upper Bengawan Solo Watershed, primarily designed to serve as flood control system. However, there no accurate estimation of inflow into due limited availability hydrological stations. Observations showed only four out ten unit hydrographs watershed. Therefore, this study was conducted apply an integrated similarity-based approach for de...

Management of the freshwater resources in a sustained manner requires information and understanding surface water hydrology streamflow is key importance this nexus. This study evaluates performance eight different precipitation products (APHRODITE, CHRS CCS, CDR, CHIRPS, CPC Global, GPCC, GPCP, PERSIANN) for prediction two sub-catchments (Chirah Dhoke Pathan) data-scarce Soan River Basin (SRB) ...

Abstract Real-time precipitation estimation from satellite observations is still a challenging issue. In this paper, we propose an effective and efficient model based on convolutional neural network (CNN) to estimate over Xinjiang, the driest region in China, Fengyun-2 data. Our mainly consists of two modules: identification module module. The first aims at identifying given as or non-precipita...