The global popularity of green roofs (GRs) rises as urban runoff becomes a primary
environmental concern in both developed and developing countries. Although a growing …

The relevance of accurate and timely rainfall estimates cannot be overstated. The rainfall
gauge network is still insufficient across significant areas worldwide. Rainfall estimates from …

A quantitative and physical understanding of satellite rainfall uncertainties provides
meaningful guidance on improving algorithms to advance hydrologic prediction. The aim of …

Abstract Feed Forward Neural Network (FFNN), Adaptive Neuro-fuzzy Inference System
(ANFIS), and Support Vector Regression (SVR) were applied for rainfall-runoff modeling of …

This study focuses on the comparison and evaluation of six daily 0.25°× 0.25° high
resolution precipitation data sets (PERSIANN, CMORPH-RAW, CMORPH-CRT, TMPA-RT …

Current orbital land precipitation products have serious shortcomings in detecting light rain
and snowfall, the most frequent types of global precipitation. The missed precipitation is then …

Increasing awareness of the impacts of global climate change on marine ecosystems and
concerns about shifting bioclimatic and agricultural zones necessitate a reassessment of the …

Precipitation is a key aspect of the climate system. In this paper, the dependability of five
satellite precipitation products (TRMM [Tropical Rainfall Measuring Mission] 3BV42 …

Climate classifications based on temperature and precipitation measurements are
increasingly being used for environmental and climate change studies. Using three …

Satellite‐based real‐time and post‐real‐time precipitation estimates of Tropical Rainfall
Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA‐3B42) were …