In this paper, we present a comprehensive review of the data sources and estimation
methods of 30 currently available global precipitation data sets, including gauge‐based …

Rainfall is one of the most basic meteorological and hydrological elements. Quantitative
rainfall estimation has always been a common concern in many fields of research and …

Reanalysis precipitation products are important datasets for precipitation estimates over
ungauged areas. The objective of this study was to evaluate the accuracy of the newly …

In this study, a comparison in the precipitation extremes as exhibited by the seven reference
datasets is made to ascertain whether the inferences based on these datasets agree or they …

More extreme precipitation is expected to occur in the arid and wet regions due to climate
warming. This intensification will increase the risk of floods, soil erosion, and droughts in the …

ERA-Interim has been widely considered as a valid proxy for observations at global and
regional scales. However, the verifications of ERA-Interim precipitation and temperature in …

The model uncertainty, one of the major sources of projection uncertainty, is still a challenge
in the climate change projection. In this study, the model uncertainty in simulating the East …

The precipitation phase (ie, rain and snow) is important for the global hydrologic cycle and
climate system. The objective of this study is to evaluate the precipitation-phase partitioning …

Gridded precipitation datasets for the arid region of northwestern China (ARNC) are thought
to have large discrepancies. This study systematically evaluated the performance of multiple …

Accurate precipitation data are the basis for hydro‐climatological studies. As a highly
populated river basin, with the biggest inland fishery in Southeast Asia, freshwater dynamics …