Review of GPM IMERG performance: A global perspective

RK Pradhan, Y Markonis, MRV Godoy… - Remote Sensing of …, 2022 - Elsevier
Accurate, reliable, and high spatio-temporal resolution precipitation data are vital for many
applications, including the study of extreme events, hydrological modeling, water resource …

Performance evaluation and correction of precipitation data using the 20-year IMERG and TMPA precipitation products in diverse subregions of China

Q Ma, Y Li, H Feng, Q Yu, Y Zou, F Liu, B Pulatov - Atmospheric Research, 2021 - Elsevier
Abstract The latest Integrated Multi-satellite Retrievals for Global Precipitation Measurement
(IMERG) dataset version 6, which is the successor of the multi-satellite 3B42 dataset from …

[HTML][HTML] A comprehensive validation for GPM IMERG precipitation products to detect extremes and drought over mainland China

L Yu, G Leng, A Python - Weather and Climate Extremes, 2022 - Elsevier
This study provides a comprehensive validation of Integrate Multi-SatellitE Retrievals of
(IMERG) Global Precipitation Measurement (GPM) products in detecting extremes and …

A study on availability of ground observations and its impacts on bias correction of satellite precipitation products and hydrologic simulation efficiency

L Zhou, T Koike, K Takeuchi, M Rasmy, K Onuma… - Journal of …, 2022 - Elsevier
Precipitation is a crucial input for hydrological models to achieve various purposes such as
water resource management and flood forecasting. However, precipitation stations are …

Reliability of the IMERG product through reference rain gauges in Central Italy

M Gentilucci, M Barbieri, G Pambianchi - Atmospheric Research, 2022 - Elsevier
Satellite precipitation observations represent the future of climatology, as they allow
continuous assessment of climate parameters over the entire earth's surface. Today, climate …

Evaluation of GPM-IMERG rainfall estimates at multiple temporal and spatial scales over Greece

AP Kazamias, M Sapountzis, K Lagouvardos - Atmospheric Research, 2022 - Elsevier
Accurate precipitation data in space and time are among the most important variables for
analyzing, modelling and forecasting many hydrometeorological applications and hazards …

[HTML][HTML] WRF hourly evaluation for extreme precipitation events

A Merino, E García-Ortega, A Navarro, JL Sánchez… - Atmospheric …, 2022 - Elsevier
Precipitation is one of the most relevant fields in atmospheric modeling because of its
environmental, social and economic implications. However, precipitation validation from …

Do satellite-based products suffice for rainfall observations over data-sparse complex terrains? Evidence from the North-Western Himalayas

A Dogra, J Thakur, A Tandon - Remote Sensing of Environment, 2023 - Elsevier
Remotely sensed observations are crucial for conducting meteorological studies, particularly
over complex mountainous terrains such as, the North-Western Himalayas (NWH), which …

Evaluation of the GPM-IMERG precipitation product for flood modeling in a semi-arid mountainous basin in Morocco

T Saouabe, EM El Khalki, MEM Saidi, A Najmi, A Hadri… - Water, 2020 - mdpi.com
A new precipitation dataset is provided since 2014 by the Global Precipitation Measurement
(GPM) satellite constellation measurements combined in the Integrated Multi-satellite …

Quantifying the uncertainty interaction between the model input and structure on hydrological processes

S Zhou, Y Wang, Z Li, J Chang, A Guo - Water Resources Management, 2021 - Springer
Input error is one of the main sources of uncertainty in hydrological models. It mainly comes
from the uncertainty of precipitation data, which is caused by inaccurate measurement at the …