Yang Jie

ORCID: 0000-0002-2193-3067
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About
Contact & Profiles
Research Areas
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Remote Sensing and Land Use
  • Oceanographic and Atmospheric Processes
  • Tropical and Extratropical Cyclones Research
  • Environmental and Agricultural Sciences
  • Forest, Soil, and Plant Ecology in China
  • Environmental Changes in China
  • Cryospheric studies and observations
  • Genetic Mapping and Diversity in Plants and Animals
  • Fungal Biology and Applications
  • GABA and Rice Research
  • Arctic and Antarctic ice dynamics
  • Insect and Pesticide Research
  • Precipitation Measurement and Analysis
  • Spectroscopy and Chemometric Analyses
  • Insect Resistance and Genetics
  • Transgenic Plants and Applications
  • Soybean genetics and cultivation
  • Rice Cultivation and Yield Improvement
  • Hydrological Forecasting Using AI
  • Agriculture, Soil, Plant Science
  • Environmental Quality and Pollution
  • Insect and Arachnid Ecology and Behavior
  • Food composition and properties

Jiangsu Provincial Meteorological Bureau
2016-2025

Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
2024

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2024

Sun Yat-sen University
2009-2023

Bridge University
2023

China Meteorological Administration
2023

Yancheng Institute of Technology
2023

Yangzhou University
2011-2023

University of Hawaiʻi at Mānoa
2023

Wuhan University of Technology
2014

Abstract In July-August 2022, Yangtze River Valley (YRV) experienced unprecedented hot summer, with the number of heatwave days exceeding climatology by four standard deviations. The heatwaves and associated severe droughts affected about 38 million people caused devastating economic losses five billion US dollars. Here we present convergent empirical modelling evidence to show that record-breaking Pakistan rainfall, along 2022 tripe-dip La Niña, produces anomalous high pressure over YRV,...

10.1038/s41612-023-00386-3 article EN cc-by npj Climate and Atmospheric Science 2023-05-26

Abstract In August 2022, an unprecedented compound heatwave and drought event (CHDE) lasting 24 days occurred in the Yangtze River valley (YRV), leading to a severe reduction of crop, fresh water, power supply. We constructed joint cumulative probability distribution intensity, found that lowest probability-based index (PI) 0.06 2022 was estimated as 1-in-662-year over 1961–2022 climate. then detected fingerprint greenhouse gas forcing observed PI generalized extreme value framework, but not...

10.1038/s41612-024-00720-3 article EN cc-by npj Climate and Atmospheric Science 2024-07-23

Abstract By observing well‐known sea surface temperature (SST) indices and outputs from Climate Forecast System version 2 (CFSv2) hindcasts predictions, in this study, we developed a hybrid statistical downscaling prediction model (HSDPM) based on timescale decomposition approach, which effectively improved the forecasting ability of summer (June–August) precipitation over Hainan Island (HNSP) China; presented multiple obvious variabilities. We found that interannual variability HNSP is...

10.1002/joc.8454 article EN International Journal of Climatology 2024-03-29

The development of machine learning (ML) provides new means and methods for accurate climate analysis prediction. This study focuses on summer precipitation prediction using ML algorithms. Based BCC CSM1.1, ECMWF SEAS5, NCEP CFSv2, JMA CPS2 model data, we conducted a multi-model ensemble (MME) experiment three tree-based algorithms: the decision tree (DT), random forest (RF), adaptive boosting (AB) On this basis, explored applicability algorithms seasonal in China, as well impact different...

10.3390/atmos13091424 article EN cc-by Atmosphere 2022-09-02

Abstract. The modern instrumental record (1979–2006) is analyzed in an attempt to reveal the dynamical structure and origins of major modes interannual variability East Asian summer monsoon (EASM) elucidate their fundamental differences with seasonal variability. These are understanding forced (say orbital) internal interannual) EASM. We show that leading mode variation, which accounts for about 39% total variance, primarily associated decaying phases El Nino, whereas second mode, 11.3%...

10.5194/cpd-4-645-2008 article EN cc-by 2008-05-28

The rainstorm intensity formula and the design of hyetographs are important aspects in drainage standards. Against backdrop climate change, most cities Jiangsu Province China, significant trends increasing intensities heavy rainfall apparent. parameters no longer applicable current context significantly stronger rainstorms. To adapt to this we first contrasted fitting accuracy Gumbel distribution, exponential Pearson III distribution for Jiangsu. It was found that has smallest relative mean...

10.3390/atmos13060899 article EN cc-by Atmosphere 2022-06-01

Abstract The Once‐in‐a‐Century extreme rainstorm event caused severe floods over Henan province during July 18–21, 2021, which resulted in large casualty and property losses. Although the occurred after 18, excessive rainfall had to east of before with 4‐day accumulated exceeding +130 mm 14–17, 2021. How evolving westward intensifying 18 remained a puzzle, is focus this study. prerainstorm stage (July 14–17) was related South Asian High (SAH) extending eastward western Pacific subtropical...

10.1002/asl.1156 article EN cc-by Atmospheric Science Letters 2023-03-14

This study harnesses ground observation data collected between 1980 and 2021 ERA5 hourly to thoroughly implement trend correlation analysis techniques explore the spatiotemporal dynamic characteristics of daily extreme precipitation in Sichuan Basin. The investigation delineates these probes into potential triggers rainstorms. findings unveil following: (1) A general increase rainfall volume, contribution rate, intensity, dispersion, along with a decline frequency proportion rainstorm areas,...

10.3390/atmos14121719 article EN cc-by Atmosphere 2023-11-22
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