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Suli Pan

Researcher at Zhejiang University

Publications -  21
Citations -  300

Suli Pan is an academic researcher from Zhejiang University. The author has contributed to research in topics: Climate change & Environmental science. The author has an hindex of 8, co-authored 15 publications receiving 187 citations.

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Influences of climatic variability and human activities on terrestrial water storage variations across the Yellow River basin in the recent decade

TL;DR: In this article, the authors made an integrated use of GRACE data and meteorological data to characterize the TWS variations in the Yellow River basin (YRB) during 2003-2015 and investigated the relationships between terrestrial water storage change (TWSC) and human activities and climatic variability respectively.
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Future potential evapotranspiration changes and contribution analysis in Zhejiang Province, East China

TL;DR: In this paper, the sensitivity of potential evapotranspiration to five climatic variables (solar radiation, daily minimum and maximum air temperature, relative humidity, and wind speed) is analyzed based on observation data from 1955-2008 using a global sensitivity analysis method, Sobol's method.
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Changes in precipitation and temperature in Xiangjiang River Basin, China

TL;DR: In this article, the Mann-Kendall rank test for trend and change point analysis was used to analyze the changes in trend and magnitude based on historic precipitation and temperature time series.
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Evaluating historical simulations of CMIP5 GCMs for key climatic variables in Zhejiang Province, China

TL;DR: In this article, the authors evaluated the performance of six key climatic variables during simulations from 1971 to 2000, including maximum and minimum air temperature, precipitation, wind speed, solar radiation, and relative humidity.
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Effects of climate change on peak runoff and flood levels in Qu River Basin, East China

TL;DR: In this paper, the LARS-WG (Long Ashton Research Station Weather Generator) statistical downscaling method is used to downscale the GCM (Global Climate Model) outputs (including BCC, BNU, CanESM and CSIRO under RCP4.5 and RCP8.5 scenarios) and generate 50 years of synthetic precipitation and maximum and minimum temperatures to drive the GR4J hydrological model and the 1D hydraulic model for the baseline period 1971-2000 and the future period 2021-2050.