Global precipitation measurements for validating climate models
The advent of global precipitation data sets with increasing temporal span has made it
possible to use them for validating climate models. In order to fulfill the requirement of global …
possible to use them for validating climate models. In order to fulfill the requirement of global …
Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets
Abstract The Integrated Multi-satellitE Retrievals for Global Precipitation Measurement
(IMERG) produces the latest generation of satellite precipitation estimates and has been …
(IMERG) produces the latest generation of satellite precipitation estimates and has been …
Integrated multi-satellite retrievals for the global precipitation measurement (GPM) mission (IMERG)
GJ Huffman, DT Bolvin, D Braithwaite, KL Hsu… - … measurement: Volume 1, 2020 - Springer
Abstract The Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement
(GPM) mission (IMERG) is a US GPM Science Team precipitation product. IMERG uses inter …
(GPM) mission (IMERG) is a US GPM Science Team precipitation product. IMERG uses inter …
A deep learning-based framework for multi-source precipitation fusion
Accurate quantitative precipitation estimation (QPE) is essential for various applications,
including land surface modeling, flood forecasting, drought monitoring and prediction. In situ …
including land surface modeling, flood forecasting, drought monitoring and prediction. In situ …
The global satellite precipitation constellation: Current status and future requirements
C Kidd, G Huffman, V Maggioni… - Bulletin of the …, 2021 - journals.ametsoc.org
To address the need to map precipitation on a global scale, a collection of satellites carrying
passive microwave (PMW) radiometers has grown over the last 20 years to form a …
passive microwave (PMW) radiometers has grown over the last 20 years to form a …
SM2RAIN-CCI: A new global long-term rainfall data set derived from ESA CCI soil moisture
Accurate and long-term rainfall estimates are the main inputs for several applications, from
crop modeling to climate analysis. In this study, we present a new rainfall data set (SM2RAIN …
crop modeling to climate analysis. In this study, we present a new rainfall data set (SM2RAIN …
[HTML][HTML] Intermittency in precipitation: Duration, frequency, intensity, and amounts using hourly data
KE Trenberth, Y Zhang… - Journal of …, 2017 - journals.ametsoc.org
Intermittency is a core characteristic of precipitation, not well described by data and very
poorly modeled. Detailed analyses are made of near-global gridded (about 1°) hourly or 3 …
poorly modeled. Detailed analyses are made of near-global gridded (about 1°) hourly or 3 …
Attention-unet-based near-real-time precipitation estimation from fengyun-4A satellite imageries
Y Gao, J Guan, F Zhang, X Wang, Z Long - Remote Sensing, 2022 - mdpi.com
Reliable near-real-time precipitation estimation is crucial for scientific research and
resistance to natural disasters such as floods. Compared with ground-based precipitation …
resistance to natural disasters such as floods. Compared with ground-based precipitation …
[HTML][HTML] Can the GPM IMERG final product accurately represent MCSs' precipitation characteristics over the central and eastern United States?
Can the GPM IMERG Final Product Accurately Represent MCSs’ Precipitation
Characteristics over the Central and Eastern United States? in: Journal of …
Characteristics over the Central and Eastern United States? in: Journal of …
Exploring deep neural networks to retrieve rain and snow in high latitudes using multisensor and reanalysis data
Satellite remote sensing is able to provide information on global rain and snow, but
challenges remain in accurate estimation of precipitation rates, particularly in snow retrieval …
challenges remain in accurate estimation of precipitation rates, particularly in snow retrieval …