An object-based verification approach is employed to assess the performance of the commonly used high-resolution satellite precipitation products: Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), Climate Prediction center MORPHing technique (CMORPH), and Tropical Rainfall Measurement Mission (TRMM) Multi-Satellite Precipitation Analysis (TMP...

Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. [1] This paper describes the use of satellite‐based estimates of rainfall to force the Hydrology, Entomology and Ma...

[1] Water resources management, forecasting, and decision making require reliable estimates of precipitation. Extreme precipitation events are of particular importance because of their severe impact on the economy, the environment, and the society. In recent years, the emergence of various satellite‐retrieved precipitation products with high spatial resolutions and global coverage have resulted...

Tropical Applications of Meteorology Using Satellite and Ground-Based Observations (TAMSAT) rainfall estimates are used extensively across Africa for operational rainfall monitoring and food security applications; thus, regional evaluations ofTAMSATare essential to ensure its reliability. This study assesses the performance of TAMSAT rainfall estimates, along with the African Rainfall Climatolo...

Based on high-density gauge precipitation observations, high-resolution weather radar quantitative precipitation estimation (QPE) and seamless satellite-based precipitation estimates, a 1-km experimental gauge-radar-satellite merged precipitation dataset has been developed using the proposed local gauge correction (LGC) and optimal interpolation (OI) merging strategies. First, hourly precipitat...

The use of a high-resolution satellite-based precipitation product on global-scale is attractive to hydrological applications. However, it should be systematically evaluated from various perspectives as the quality property dependent geographical and topographical features region. This study aims comprehensively assess Climate Prediction Center morphing technique (CMORPH) over South Korea. Two ...

Rainfall-triggered flood and landslide hazards pose significant threats to human lives infrastructure worldwide. This study aims evaluate the applicability of three satellite rainfall data sets—namely, CMORPH, GPM, TRMM—for prediction using a coupled hydrological-slope stability model. The spatial distribution annual from sets was similar that gauge rainfall, with an increasing trend north sout...