Gridded precipitation products are becoming good alternative data sources for regions with limited weather gauging stations. In this study, four climate gridded were utilized, namely Climate Forecast System Reanalysis (CFSR), European Centre Medium-Range Weather Forecasts (ECMWF) ERA-Interim/land, the Asian Precipitation-Highly-Resolved Observational Data Integration Towards Evaluation of Water...

Abstract. We present a new publicly available daily gridded dataset of maximum and minimum temperature precipitation data covering the whole territory Slovenia from 1950 to 2018. It represents great variability climate at crossroads between Mediterranean, Alpine continental climatic regimes with altitudes 0–2864 m a.s.l. completely reconstructed (quality control gap filling) for three variables...

BACKGROUND Household survey data are collected by governments, international organizations, and companies to prioritize policies and allocate billions of dollars. Surveys are typically selected from recent census data; however, census data are often outdated or inaccurate. This paper describes how gridded population data might instead be used as a sample frame, and introduces the R GridSample a...

Accurate and spatially distributed precipitation data are fundamental to effective water resource management. In Morocco, as in other arid semi-arid regions, exhibits significant spatial temporal variability. Indeed, there is an intra- inter-annual variability the northwest rainier than rest of country. Bouregreg watershed, this irregularity, along with a sparse gauge network, poses major chall...

Abstract. According to recent studies, Remote sensing data plays a significant role in filling gaps the poor gauge station, particularly at high elevations and with complex underlying surface features. In order provide high-resolution precipitation estimates over terrain areas, downscaling low-resolution satellite using various environmental variables. this paper, we tried downscale GPM IMERG V...