Qun Tian

China Meteorological Administration — China

Environmental Science · Physical Sciences

6h-index141citations13works4.92yr avg
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Research Topics

Climate variability and models(7), Meteorological Phenomena and Simulations(4), Remote Sensing in Agriculture(3), Climate change impacts on agriculture(3), Marine and fisheries research(2)

Publications13 total

Evolution of MJO structures during eastward propagation
Theoretical and Applied Climatology·2025
A Novel Metric for Quantifying Solar Irradiance Stability: Mapping Solar Irradiance Variability to Photovoltaic Power Generation
2025Open Access
A novel metric for quantifying solar irradiance stability: Mapping solar irradiance variability to photovoltaic power generation
Renewable Energy·2024· 4 cited
Fidelity of global tropical cyclone activity in a new reanalysis dataset (<scp>CRA40</scp>)
Meteorological Applications·2024· 3 citedOpen Access
Corals Evidence an Underestimation of the 20th Century Warming in the Eastern Pacific Cold Tongue
Geophysical Research Letters·2024· 4 citedOpen Access
Evaluation of machine learning-dynamical hybrid method incorporating remote sensing data for in-season maize yield prediction under drought
Precision Agriculture·2024· 11 cited
Coupling Physical Factors for Precipitation Forecast in China With Graph Neural Network
Geophysical Research Letters·2024· 17 citedOpen Access
Corals evidence an underestimation of the 20th century warming in the Eastern Pacific cold tongue
Zenodo (CERN European Organization for Nuclear Research)·2024Open Access
Supplementary data for "Corals evidence an underestimation of the 20th century warming in the Eastern Pacific cold tongue"
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Improving the heavy rainfall forecasting using a weighted deep learning model
Frontiers in Environmental Science·2023· 23 citedOpen Access
Evaluation of Dynamical Seasonal Prediction Skills for Tropical Cyclone Activity over the South China Sea in FGOALS-f2
Atmosphere·2022· 8 citedOpen Access
Improving the Forecasting of Winter Wheat Yields in Northern China with Machine Learning–Dynamical Hybrid Subseasonal-to-Seasonal Ensemble Prediction
Remote Sensing·2022· 50 citedOpen Access
Improving the forecasting of winter crop yields in northern China with machine learning-dynamical hybrid subseasonal-to-seasonal ensemble prediction
2022· 21 citedOpen Access

Frequent Co-authors

Jinxiao Li(6), Junjun Cao(3), Huijing Wang(3), Dev Niyogi(3), Ya Wang(3), Tao Han(3), Hong Yan(3), Jianglin Wang(3), Markus Stoffel(3), Sébastien Guillet(3), Christophe Corona(3), Xiaopei Lin(3), Xing Huibin(3), Chengcheng Liu(3), John Dodson(3), Kefu Yu(3), Yutong Chen(2), Gang Huang(2), Zili Shen(2), Majun Li(2)