[HTML][HTML] TPHiPr: a long-term (1979–2020) high-accuracy precipitation dataset (, daily) for the Third Pole region based on high-resolution atmospheric modeling …

Y Jiang, K Yang, Y Qi, X Zhou, J He… - Earth System …, 2023 - essd.copernicus.org
Reliable precipitation data are highly necessary for geoscience research in the Third Pole
(TP) region but still lacking, due to the complex terrain and high spatial variability of …

Spatiotemporal bias adjustment of IMERG satellite precipitation data across Canada

S Moazami, W Na, MR Najafi, C de Souza - Advances in Water Resources, 2022 - Elsevier
Recently developed remote sensing data including satellite-based products show promising
performance in estimating precipitation at high spatiotemporal resolution. However, the …

PECA-FY4A: Precipitation Estimation using Chromatographic Analysis methodology for full-disc multispectral observations from FengYun-4A/AGRI

S Zhu, Z Ma - Remote Sensing of Environment, 2022 - Elsevier
Near-real-time precipitation estimates based on geostationary meteorological satellites are
of great importance for monitoring hydrology-related disasters. Currently, the contributions of …

[HTML][HTML] Comprehensive evaluation of mainstream gridded precipitation datasets in the cold season across the Tibetan Plateau

L Zhang, L Gao, J Chen, L Zhao, J Zhao, Y Qiao… - Journal of Hydrology …, 2022 - Elsevier
Abstract Study region The Tibetan Plateau (TP). Study focus This study evaluated the
accuracy of six mainstream gridded precipitation products, including the Asian precipitation …

Multi-criteria evaluation of satellite-based precipitation estimates over agro-climatic zones of India

D Dayal, A Pandey, PK Gupta, SK Himanshu - Atmospheric Research, 2023 - Elsevier
Satellite-based precipitation estimates (SPEs) available at a high spatio-temporal resolution
with near-global coverage are substitutes for ground-based datasets. In this study, the …

A fine spatial resolution estimation scheme for large-scale gross primary productivity (GPP) in mountain ecosystems by integrating an eco-hydrological model with the …

X Xie, A Li, J Tian, C Wu, H Jin - Journal of Hydrology, 2023 - Elsevier
Accurate estimation of mountain vegetation gross primary productivity (GPP) at fine spatial
resolutions offers opportunities to better understand mountain ecosystems' feedback to the …

Errors of five satellite precipitation products for different rainfall intensities

H Chen, D Wen, Y Du, L Xiong, L Wang - Atmospheric Research, 2023 - Elsevier
Revealing the errors of the satellite precipitation products (SPPs) for various rainfall intensity
groups is crucial for their applications in the hydro-meteorological field. However, the spatial …

The evaluation and downscaling‐calibration of IMERG precipitation products at sub‐daily scales over a metropolitan region

Q Zhuang, Z Zhou, S Liu, DB Wright… - Journal of Flood Risk …, 2023 - Wiley Online Library
Abstract The Global Precipitation Measurement (GPM) Integrated Multi‐satellitE Retrievals
for GPM products (ie, IMERG) provide new‐generation satellite precipitation measurements …

[HTML][HTML] Accuracy of satellite precipitation products in data-scarce Inner Tibetan Plateau comprehensively evaluated using a novel ground observation network

Z Liu - Journal of Hydrology: Regional Studies, 2023 - Elsevier
Abstract Study region Inner Tibetan Plateau (ITP) is the largest plateau in the world, with
only four national basic stations covering an area of 5.76× 10 5 km 2. Study focus Satellite …

Anthropogenic warming induced intensification of summer monsoon frontal precipitation over East Asia

S Moon, N Utsumi, JH Jeong, JH Yoon, SYS Wang… - Science …, 2023 - science.org
Summer monsoon frontal rainfall in East Asia (EA) is crucial for water resources and flood
hazards in densely populated areas. Recent studies have documented the increasing …