Results 11 to 20 of about 13,812 (191)

Evaluation of IMERG climate trends over land in the TRMM and GPM eras

Environmental Research Letters
The Integrated Multi-satellitE Retrievals for global precipitation measurement (GPM) mission (IMERG) is a global precipitation product suite consisting of both near-real-time and research-grade products with high spatiotemporal resolution.
Siyu Zhu, Zhi Li, Mengye Chen, Yixin Wen, Zhong Liu, George J Huffman, Theresa E Tsoodle, Sebastian C Ferraro, Yuzhou Wang, Yang Hong   +9 more
doaj   +3 more sources

Ground Validation of GPM IMERG Precipitation Products over Iran [PDF]

Remote Sensing, 2019
Accurate estimation of precipitation is crucial for fundamental input to various hydrometeorological applications. Ground-based precipitation data suffer limitations associated with spatial resolution and coverage; hence, satellite precipitation products can be used to complement traditional rain gauge systems. However, the satellite precipitation data
Fatemeh Fadia Maghsood, Hossein Hashemi 0004, Seyyed Hasan Hosseini, Ronny Berndtsson   +3 more
core   +3 more sources

VALIDASI PRODUK SATELIT GPM-IMERG (IMERG EARLY, IMERG LATE, DAN IMERG FINAL) DI WILAYAH PULAU SUMATERA TAHUN 2019-2020

Megasains, 2022
Curah hujan merupakan salah satu parameter meteorologi yang berperan penting untuk memahai kondisi cuaca. Namun, kelengkapan data curah hujan yang tidak memadai menjadi menjadi kendala dalam mengakaji curah hujan. Estimasi curah hujan menggunakan penginderaan jauh satelit dapat menjadi solusi.
Zulkifli Ramadhan, Novvria Sagita
core   +3 more sources

Evaluation of GPM IMERG Early, Late, and Final Run in Representing Extreme Rainfall Indices in Southwestern Iran

Remote Sensing
The growing concerns about floods have highlighted the need for accurate and detailed precipitation data as extreme precipitation occurrences can lead to catastrophic floods, resulting in significant economic losses and casualties.
Mohammad Sadegh Keikhosravi Kiany
exaly   +4 more sources

Evaluation of GPM IMERG Early, Late, and Final rainfall estimates using WegenerNet gauge data in southeastern Austria [PDF]

Hydrology and Earth System Sciences, 2017
The Global Precipitation Measurement (GPM) Integrated Multi-satellite Retrievals for GPM (IMERG) products provide quasi-global (60° N–60° S) precipitation estimates, beginning March 2014, from the combined use of passive microwave (PMW) and infrared (
S. O, S. O, U. Foelsche, U. Foelsche, U. Foelsche, G. Kirchengast, G. Kirchengast, G. Kirchengast, J. Fuchsberger, J. Tan, J. Tan, W. A. Petersen   +11 more
doaj   +4 more sources

Can GPM IMERG Capture Extreme Precipitation in North China Plain? [PDF]

Remote Sensing, 2022
Extreme precipitation events (EPE) often cause catastrophic floods accompanied by serious economic losses and casualties. The latest version (V06) of the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (GPM IMERG) provides global satellite precipitation data from 2000 at a higher spatiotemporal resolution with improved ...
Dasheng Zhang, Mingxiang Yang, Meihong Ma, Guoqiang Tang, Tsechun Wang, Xun Zhao, Suying Ma, Jin Wu, Wei Wang   +8 more
openaire   +4 more sources

The evaluation of GPM IMERG v.06 rainfall product over the Lau Simeme Watershed in Indonesia

Civil and Environmental Science Journal, 2023
In Indonesia, rainfall is still significant spatially and temporally. In order to gain optimal results from utilising water resources, we have to ensure that the precipitation data is provided in good quality and quantity.
Bachtiar Malthus Hutagaol, James E. Ball, Ery Suhartanto, Sri Wahyuni   +3 more
doaj   +2 more sources

Validation of GPM IMERG Extreme Precipitation in the Maritime Continent by Station and Radar Data [PDF]

Earth and Space Science, 2021
AbstractThe Maritime Continent (MC) is a region subject to high impact weather (HIW) events, which are still poorly predicted by numerical weather prediction (NWP) models. To improve predictability of such events, NWP needs to be evaluated against accurate measures of extreme precipitation across the whole MC.
Nicolas A. Da Silva, Benjamin G. M. Webber, Adrian J. Matthews, Matthew M. Feist, Thorwald H. M. Stein, Christopher E. Holloway, Muhammad F. A. B. Abdullah   +6 more
openaire   +7 more sources

Towards a Machine Learning Snowfall Retrieval Algorithm for GPM-IMERG

16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023, 2023
Remote sensing of snowfall has been proved to be a great challenge since the start of the satellite era. Several techniques have been applied to satellite data to estimate the fraction of frozen precipitation that reaches the surface. This study aims at investigating the efficacy of machine learning (ML), and especially deep learning (DL), in ...
Ioannis Dravilas, Stavros Dafis, Georgios Kyros, Konstantinos Lagouvardos, Manolis Koubarakis   +4 more
openaire   +3 more sources

Evaluation of Heavy Precipitation Simulated by the WRF Model Using 4D-Var Data Assimilation with TRMM 3B42 and GPM IMERG over the Huaihe River Basin, China

Remote Sensing, 2018
To obtain independent, consecutive, and high-resolution precipitation data, the four-dimensional variational (4D-Var) method was applied to directly assimilate satellite precipitation products into the Weather Research and Forecasting (WRF) model.
Lu Yi, Wanchang Zhang, Kai Wang
doaj   +2 more sources