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J David Neelin

Showing results (11-20 of 15) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|May 15, 2013
High regional climate sensitivity over continental China constrained by glacial-recent changes in temperature and the hydrological cycleRobert A Eagle, Camille Risi, Jonathan L Mitchell, et al.
Nature Communications|July 19, 2025
A data-to-forecast machine learning system for global weatherXiuyu Sun, Xiaohui Zhong, Xiaoze Xu, et al.
Nature Communications|November 19, 2022
Model spread in tropical low cloud feedback tied to overturning circulation response to warmingKathleen A Schiro, Hui Su, Fiaz Ahmed, et al.
Nature Communications|June 8, 2017
Tightening of tropical ascent and high clouds key to precipitation change in a warmer climateHui Su, Jonathan H Jiang, J David Neelin, et al.
Science Advances|February 7, 2024
Climate-invariant machine learningTom Beucler, Pierre Gentine, Janni Yuval, et al.
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Showing results (11-20 of 15) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 15 results.
Proceedings of the National Academy of Sciences of the United States of America|May 15, 2013
High regional climate sensitivity over continental China constrained by glacial-recent changes in temperature and the hydrological cycleRobert A Eagle, Camille Risi, Jonathan L Mitchell, et al.
Nature Communications|July 19, 2025
A data-to-forecast machine learning system for global weatherXiuyu Sun, Xiaohui Zhong, Xiaoze Xu, et al.
Nature Communications|November 19, 2022
Model spread in tropical low cloud feedback tied to overturning circulation response to warmingKathleen A Schiro, Hui Su, Fiaz Ahmed, et al.
Nature Communications|June 8, 2017
Tightening of tropical ascent and high clouds key to precipitation change in a warmer climateHui Su, Jonathan H Jiang, J David Neelin, et al.
Science Advances|February 7, 2024
Climate-invariant machine learningTom Beucler, Pierre Gentine, Janni Yuval, et al.
Pageof 2