Results 51 to 60 of about 708 (174)

Validation of GPM IMERG extreme precipitation in the Peninsular Malaysia and Philippines by station and radar data [PDF]

IOP Conference Series: Earth and Environmental Science, 2021
Abstract Extreme precipitation is ubiquitous in the Maritime Continent (MC) but poorly predicted numerical weather prediction (NWP) models. NWP evaluation against accurate measures of heavy precipitation is essential to improve their forecasting skill.
Da Silva, Nicolas A., Webber, Benjamin G. M., Matthews, Adrian J., Feist, Matthew M., Stein, Thorwald H. M., Holloway, Christopher E., Abdullah, Muhammad F. A. B.   +6 more
openaire   +1 more source

Evaluation of the Spatiotemporal Distribution of Precipitation Using 28 Precipitation Indices and 4 IMERG Datasets over Nepal

Remote Sensing, 2022
Accurate accounting of spatiotemporal variability of precipitation is essential for understanding the changing climate. Among the available precipitation estimates, the Global Precipitation Measurement (GPM) is an international satellite network ...
Rocky Talchabhadel, Suraj Shah, Bibek Aryal   +2 more
doaj   +1 more source

Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events

Journal of Advances in Modeling Earth Systems, 2020
The National Aeronautics and Space Administration‐Japan Aerospace Exploration Agency Global Precipitation Measurement (GPM) mission consists of a multisatellite constellation that provides real‐time or near‐real‐time global observations of rain and snow.
Xuanli Li, John R. Mecikalski, Jayanthi Srikishen, Bradley Zavodsky, Walter A. Petersen   +4 more
doaj   +1 more source

Hydro Statistical Assessment of TRMM and GPM Precipitation Products against Ground Precipitation over a Mediterranean Mountainous Watershed (in the Moroccan High Atlas)

Applied Sciences, 2022
The tropical Rainfall Measuring Mission TRMM 3B42 V7 product and its successor, the Global Precipitation Measurement Integrated Multi-satellitE Retrievals for GPM IMERG high-resolution product GPM IMERG V5, have been validated against rain gauges ...
Myriam Benkirane, Nour-Eddine Laftouhi, Saïd Khabba, África de la Hera-Portillo   +3 more
doaj   +1 more source

Capability of GPM IMERG Products for Extreme Precipitation Analysis over the Indonesian Maritime Continent [PDF]

Remote Sensing, 2022
Integrated Multi-satellite Retrievals for GPM (IMERG) data have been widely used to analyze extreme precipitation, but the data have never been validated for the Indonesian Maritime Continent (IMC). This study evaluated the capability of IMERG Early (E), Late (L), and Final (F) data to observe extreme rain in the IMC using the rain gauge data within ...
Ravidho Ramadhan, Marzuki Marzuki, Helmi Yusnaini, Robi Muharsyah, Wiwit Suryanto, Sholihun Sholihun, Mutya Vonnisa, Alessandro Battaglia, Hiroyuki Hashiguchi   +8 more
openaire   +3 more sources

Event-Based Bias Correction of the GPM IMERG V06 Product by Random Forest Method over Mainland China

Remote Sensing, 2022
The Global Precipitation Measurement (GPM) IMERG V06 product showed excellent performance in detecting precipitation, but still have room to improve. This study proposed an event-based bias correction strategy through random forest (RF) method to improve
Zhenyu Liu, Haowen Hou, Lanhui Zhang, Bin Hu   +3 more
doaj   +1 more source

Validation of IMERG Oceanic Precipitation over Kwajalein

Remote Sensing, 2022
The integrated Multi-satellitE Retrievals for GPM (IMERG) Version V05B and V06B precipitation products from the Global Precipitation Measurement (GPM) mission are validated against ground-based observations from the Kwajalein Polarimetric S-band Weather ...
Jianxin Wang, David B. Wolff, Jackson Tan, David A. Marks, Jason L. Pippitt, George J. Huffman   +5 more
doaj   +1 more source

AI Agent for Hydrologic Modeling: Definition, Development, and Application

Geophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract Hydrologic modeling supports flood forecasting and water resources management, but complex preprocessing, parameterization, and configuration limit broader use. This study defines a six‐level framework for artificial intelligence (AI)‐agent autonomy in hydrologic modeling and develops a Level‐4 agent, powered by large language models, that ...
Songkun Yan, Mengye Chen, Zhi Li, Yixin Wen, Siyu Zhu, Mofan Zhang, Di Liu, Jie Cao, Xiaodong Chen, Chengbin Deng, Tiantian Yang, Yang Hong   +11 more
wiley   +1 more source

3D Water Vapor Signature of Tropical Storms: GNSS Tomography of the 10 Most Severe Rainfall Events in Hong Kong 2015–2025

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 13, 16 July 2026.
Abstract Monitoring water vapor during extreme events is crucial for understanding atmospheric physics, as well as for improving the prediction of severe weather and enhancing early warning systems. The major gap in monitoring water vapor during extreme events lies in the limited spatial and temporal resolutions of existing techniques.
P. Mateus, D. Hui, M. Zhang, R. Fernandes, P. M. A. Miranda   +4 more
wiley   +1 more source

Application of the GPM-IMERG Products in Flash Flood Warning: A Case Study in Yunnan, China [PDF]

Remote Sensing, 2020
NASA’s Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) is a major source of precipitation data, having a larger coverage, higher precision, and a higher spatiotemporal resolution than previous products, such as the Tropical Rainfall Measuring Mission (TRMM).
Meihong Ma, Huixiao Wang, Pengfei Jia, Guoqiang Tang, Dacheng Wang, Ziqiang Ma, Haiming Yan   +6 more
openaire   +2 more sources