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

TL;DR: In this article, disintegration of uncertainties associated with four prominent real-time SPEs, IMERG, TMPA, CMORPH and PERSIANN has been conducted at grid level, regional scale, and summarized in terms of regions as well as whole study area basis.

TL;DR: In this paper, the authors evaluate the aplicación of satelitales IMERG V03 and TMPA V7 with respect to a series of crecidas in the periodo marzo 2014 to diciembre 2015.

TL;DR: In this paper, the authors compared two different statistical downscaling methods, Presim1 and Presim2, using the Coupled Model Intercomparison Project Phase 5 (CMIP5) datasets and station observations.

TL;DR: In this article , an ensemble precipitation forecast post-processing method is proposed by hybridizing the Analog Ensemble (AnEn), Minimum Divergence Schaake Shuffle (MDSS), and Convolutional Neural Network (CNN) methods.

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...