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Zheng Duan

Researcher at Lund University

Publications -  151
Citations -  3969

Zheng Duan is an academic researcher from Lund University. The author has contributed to research in topics: Precipitation & Environmental science. The author has an hindex of 24, co-authored 111 publications receiving 2465 citations. Previous affiliations of Zheng Duan include South China Normal University & Chinese Academy of Sciences.

Papers
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Estimating water volume variations in lakes and reservoirs from four operational satellite altimetry databases and satellite imagery data

Zheng Duan, +1 more
- 01 Jul 2013 - 
TL;DR: In this paper, a new method for estimating water volume changes in lakes and reservoirs from four different satellite altimetry databases in combination with satellite imagery data, without any in-situ measurements and bathymetry maps.
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Evaluation of eight high spatial resolution gridded precipitation products in Adige Basin (Italy) at multiple temporal and spatial scales

Zheng Duan, +4 more
- 15 Dec 2016 - 
TL;DR: Evaluation of high spatial resolution gridded precipitation products in Adige Basin located in Italy shows that in terms of overall statistical metrics the CHIRPS, TRMM and CMORPH_BLD comparably rank as the top three best performing products, while the PGF performs worst.
Journal ArticleDOI

First results from Version 7 TRMM 3B43 precipitation product in combination with a new downscaling--calibration procedure

Zheng Duan, +1 more
- 15 Apr 2013 - 
TL;DR: In this paper, the authors used a new downscaling-calibration procedure of the freely accessible Version 7 of TRMM (Tropical Rainfall Measuring Mission) 3B43 product, in conjunction with limited rain gauge data sets, to generate improved monthly pixel-based precipitation data at higher spatial resolution (1.km).
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Evaluation of Six High-Resolution Satellite and Ground-Based Precipitation Products over Malaysia

Mou Leong Tan, +4 more
- 29 Jan 2015 - 
TL;DR: Results on SPPs’ uncertainties and their potential controls might allow sensor and algorithm developers to deliver better products for improved rainfall estimation and thus improved water management.
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Evaluation of precipitation input for SWAT modeling in Alpine catchment: A case study in the Adige river basin (Italy).

Ye Tuo, +3 more
- 15 Dec 2016 - 
TL;DR: This study has shown that precipitation is the main source of uncertainty, and different precipitation datasets in SWAT models lead to different best estimate ranges for the calibrated parameters, which has important implications for the interpretation of the simulated hydrological processes.