Evaluation of precipitation products over complex mountainous terrain: A water resources perspective

TL;DR: This chapter reviews the progress, challenges, and perspectives of observing ecohydrological processes, highlighting knowledge gaps and potential directions for improvement, including upscaling, representativeness error, and integrating multisource observations into dynamic models.

TL;DR: In this article, five high-resolution satellite products (3B42V7, CMORPH, TAMSAT, SM2R-CCI, and CFSR) are compared and analyzed using the available rain gauge data in one of the most topographically and climatologically complex basin of Africa, the Upper Blue Nile basin (UBN).

TL;DR: In this article, a stepwise regression model using topographic variables derived from digital elevation model (DEM) was used to improve the accuracy of satellite precipitation products in Xinjiang, which is the driest region in China.

TL;DR: In this paper, a dynamic WALS-ESPD developed using the Weighted Average Least Square (WALS) algorithm has 0.25° spatial and daily temporal resolutions across glacial, humid, arid, and hyper-arid regions of Pakistan during 2000-2015.

TL;DR: The TRMM Multi-Satellite Precipitation Analysis (TMPA) as discussed by the authors provides a calibration-based sequential scheme for combining precipitation estimates from multiple satellites, as well as gauge analyses where feasible, at fine scales.

TL;DR: In this paper, the construction of a 10' latitude/longitude data set of mean monthly sur-face climate over global land areas, excluding Antarctica, was described, which includes 8 climate conditions: precipitation, wet-day frequency, temperature, diurnal temperature range, relative humid-ity, sunshine duration, ground frost frequency and windspeed.

TL;DR: PERSIANN as discussed by the authors is an automated system for precipitation estimation from Remotely Sensed Information using Artificial Neural Networks, which is developed for the estimation of rainfall from geosynchronous satellite longwave infared imagery (GOES-IR) at a resolution of 0.25° × 0.75° every half-hour.

TL;DR: In this article, the authors provide potential users of short-interval satellite rainfall estimates with information on the accuracy of such estimates, and compare the satellite-derived estimates of precip...