A machine learning system for precipitation estimation using satellite and ground radar network observations

H Chen, V Chandrasekar, R Cifelli… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Space-based precipitation products are often used for regional and/or global hydrologic
modeling and climate studies. A number of precipitation products at multiple space and time …

Inter-comparison of high-resolution satellite precipitation products over Central Asia

H Guo, S Chen, A Bao, J Hu, AS Gebregiorgis, X Xue… - Remote Sensing, 2015 - mdpi.com
This paper examines the spatial error structures of eight precipitation estimates derived from
four different satellite retrieval algorithms including TRMM Multi-satellite Precipitation …

Effective multi-satellite precipitation fusion procedure conditioned by gauge background fields over the Chinese mainland

W Li, Q Jiang, X He, H Sun, W Sun, M Scaioni… - Journal of …, 2022 - Elsevier
The accurate estimation of precipitation has a basis for atmospheric and hydrological
applications. However, large uncertainties exist in the estimation of regional precipitation …

Inter-comparison and evaluation of remote sensing precipitation products over China from 2005 to 2013

Q Zeng, Y Wang, L Chen, Z Wang, H Zhu, B Li - Remote Sensing, 2018 - mdpi.com
Precipitation is a key aspect of the climate system. In this paper, the dependability of five
satellite precipitation products (TRMM [Tropical Rainfall Measuring Mission] 3BV42 …

Comprehensive evaluation of high-resolution satellite-based precipitation products over China

H Guo, S Chen, A Bao, J Hu, B Yang, PM Stepanian - Atmosphere, 2015 - mdpi.com
Characterizing the errors in satellite-based precipitation estimation products is crucial for
understanding their effects in hydrological applications. Six precipitation products derived …

Comparison of snowfall estimates from the NASA CloudSat cloud profiling radar and NOAA/NSSL multi-radar multi-sensor system

S Chen, Y Hong, M Kulie, A Behrangi, PM Stepanian… - Journal of …, 2016 - Elsevier
The latest global snowfall product derived from the CloudSat Cloud Profiling Radar (2C-
SNOW-PROFILE) is compared with NOAA/National Severe Storms Laboratory's Multi-Radar …

[HTML][HTML] Assessment and Application of Multi-Source Precipitation Products in Cold Regions Based on the Improved SWAT Model

Z Tang, Y Wang, W Chen - Remote Sensing, 2024 - mdpi.com
In hydrological modeling, the accuracy of precipitation data and the reflection of the model's
physical mechanisms are crucial for accurately describing hydrological processes …

Comparison of satellite precipitation products: IMERG and GSMaP with rain gauge observations in northern China

H Zhu, S Chen, Z Li, L Gao, X Li - Remote Sensing, 2022 - mdpi.com
Extreme precipitation events have increasingly happened at global and regional scales as
the global climate has changed in recent decades. Accurate quantitative precipitation …

Characterization of the systematic and random errors in satellite precipitation using the multiplicative error model

G Tang - IEEE Transactions on Geoscience and Remote …, 2020 - ieeexplore.ieee.org
Precipitation plays a critical role in the water and energy cycle. The systematic and random
errors of precipitation are usually estimated using the additive model. However, various …

Can satellite precipitation products estimate probable maximum precipitation: A comparative investigation with gauge data in the Dadu River Basin

Y Yang, G Tang, X Lei, Y Hong, N Yang - Remote sensing, 2017 - mdpi.com
Probable Maximum Precipitation (PMP) is an essential prerequisite in designing dams,
spillways, and reservoirs in order to minimize the risk of overtopping infrastructure collapse …