Peishu Zong

ORCID: 0000-0003-4445-8294
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About
Contact & Profiles
Research Areas
  • Meteorological Phenomena and Simulations
  • Climate variability and models
  • Cryospheric studies and observations
  • Environmental and Agricultural Sciences
  • Hydrology and Watershed Management Studies
  • Evaluation Methods in Various Fields
  • Hydrological Forecasting Using AI
  • Tropical and Extratropical Cyclones Research
  • Atmospheric aerosols and clouds
  • Precipitation Measurement and Analysis
  • Icing and De-icing Technologies
  • Atmospheric chemistry and aerosols
  • Flood Risk Assessment and Management
  • Remote Sensing and Land Use

Jiangsu Provincial Meteorological Bureau
2012-2024

Institute of Atmospheric Physics
2011-2020

Chinese Academy of Sciences
2011-2020

University of Chinese Academy of Sciences
2011-2020

China Meteorological Administration
2020

ABSTRACT The changes in mean and extreme climate China during 2020–2060 are detected with both Weather Research Forecasting RegCM4, by downscaling the simulations from EC‐EATTH IPSL‐CM5A under RCP4.5 RCP8.5 scenarios. two scenarios exhibit similar patterns, stronger intensity scenario. For precipitation, increases projected most regions, largest relative increase Tarim Basin. Slight drought mainly occurs south‐eastern part of China. frequency drizzle rain is expected to decrease all...

10.1002/joc.5409 article EN International Journal of Climatology 2018-01-18

Due to the lack of accurate data and complex parameterization, prediction groundwater depth is a challenge for numerical models. Machine learning can effectively solve this issue has been proven useful in many areas. In study, two new models are applied Ningxia area, China. The combine improved dung beetle optimizer (DBO) algorithm with deep models: Multi-head Attention–Convolution Neural Network–Long Short Term Memory networks (MH-CNN-LSTM) Network–Gated Recurrent Unit (MH-CNN-GRU). DBO...

10.1016/j.aosl.2024.100497 article EN cc-by-nc-nd Atmospheric and Oceanic Science Letters 2024-04-01

ABSTRACT Forced by two Coupled Model Intercomparison Project phase 5 (CMIP5) global models, EC‐EARTH and IPSL‐CM5A, both regional climate models (RCMs) of Regional Climate system version 4 (RegCM4) Weather Research Forecasting (WRF) are used to perform simulations over China for 1980–2000. In general, the in Institute Pierre Simon Laplace‐Climate 5A (IPSL‐CM5A) improved downscaling many aspects precipitation surface air temperature, with improvements including significant enhancement...

10.1002/joc.5351 article EN International Journal of Climatology 2017-11-24

In this paper, the winter visibility in Jiangsu Province is simulated by WRF-Chem (Weather Research and Forecasting (WRF) model coupled with Chemistry) high spatiotemporal resolutions. Simulation results show that has good capability to simulate related local meteorological elements air pollutants winters of 2013–2017. For inversion, study adopts neural network algorithm. Meteorological elements, including wind speed, humidity temperature, are introduced improve performance relative...

10.3390/atmos11050520 article EN cc-by Atmosphere 2020-05-18

In this study, the capability of National Centers for Environmental Prediction (NCEP) Regional Spectral Model (RSM) in reproducing precipitation eastern China is evaluated with simulation 25‐year (1983–2007) summertime climate driven by NCEP‐Department Energy reanalysis. The impacts different physical schemes on daily precipitation, diurnal cycle and extremes are studied through detailed analyses. results show that RSM model can reproduce characteristics over China, sensitive to internal...

10.1002/joc.6077 article EN International Journal of Climatology 2019-03-19

In this paper, based on the 1961-2010 daily observation data in Jiangsu province and monthly circulation index reorganized by National Climate Center, we analyzed rime glaze days, using fuzzy clustering, wavelet analysis, trend relative analysis methods, etc, to investigate freezing weather characteristics province. The results are as follows: (1) There different of areas. province, occurrs more frequently northwest areas than that southeast (2) aspect location, preferred occur northern...

10.1109/icist.2013.6747710 article EN 2013-03-01

An attempt is made to find the regional precipitation characteristics during Meiyu period in Jiangsu province. Derived from layered cluster analysis, province divided into three regions: Region 1, northern Huaihe Area; 2, regions along River and between Yangtze River; 3, southern region of The dataset used consists records daily 66 meteorological stations over 49 yr (1961-2009). Using Morlet wavelet, binomial moving average method composite we found that: 1. anomaly shows different...

10.1109/icaci.2012.6463264 article EN 2012-10-01
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