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JX

Jiangjiang Xia

cs.LGphysics.ao-phcs.AIAI agentAI application and challengeAI-MIPatmosphere–ocean sciencesCastanopsis fargesiiElevationexplainable AI

On Valency

published · living versions
W_ha5ybtjr·v1 · currentpublished

Preprints & journals

8 papers in the corpus · 2017–2026
AI for atmosphere-ocean sciences: advancements, challenges and ways forward.41822045 · Luo, Jing-Jia, Xia, Jiangjiang, Pan, Baoxiang et al.2026 · 6 citationsNational science review. 2026;13(5):nwag063
YanTian: An Application Platform for AI Global Weather Forecasting Models2410.04539v2 · Wencong Cheng, Jiangjiang Xia, Chang Qu et al.2024 · 0 citationsarXiv
Interpretable Machine Learning for Weather and Climate Prediction: A Survey2403.18864v1 · Ruyi Yang, Jingyu Hu, Zihao Li et al.2024 · 2 citationsarXiv
The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data2308.04460v1 · Wencong Cheng, Yan Yan, Jiangjiang Xia et al.2023 · 3 citationsarXiv
Changes in the stoichiometry of Castanopsis fargesii along an elevation gradient in a Chinese subtropical forest.34131527 · Liu, Danping, Zheng, Dexiang, Xu, Yaoyao et al.2024 · 5 citationsPeerJ. 2021;9:e11553
Anthropogenically-driven increases in the risks of summertime compound hot extremes.32047147 · Wang, Jun, Chen, Yang, Tett, Simon F B et al.2020 · 327 citationsNature communications. 2020;11(1):528
ENSO elicits opposing responses of semi-arid vegetation between Hemispheres.28181570 · Zhang, Anzhi, Jia, Gensuo, Epstein, Howard E et al.2018 · 20 citationsScientific reports. 2017;7:42281
Career total: 59 works. 8 are in this corpus.

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