IsoSim: A Long-term Benchmark Dataset for Water Isotope Emulation in Global Climate Models

Zhili Li, Qi Cheng, Ruohan Li, Feng Zhu, Xiaowei Jia, Yiqun Xie

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	American English
Title of host publication	The 33rd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’25)
DOIs	https://doi.org/10.1145/3748636.3762764
State	Published - 2025

Access to Document

@inproceedings{69107fe55ffe4bccb327a395da44171b,

title = "IsoSim: A Long-term Benchmark Dataset for Water Isotope Emulation in Global Climate Models",

author = "Zhili Li and Qi Cheng and Ruohan Li and Feng Zhu and Xiaowei Jia and Yiqun Xie",

year = "2025",

doi = "10.1145/3748636.3762764",

language = "American English",

booktitle = "The 33rd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL {\textquoteright}25)",

}

TY - GEN

T1 - IsoSim: A Long-term Benchmark Dataset for Water Isotope Emulation in Global Climate Models

AU - Li, Zhili

AU - Cheng, Qi

AU - Li, Ruohan

AU - Zhu, Feng

AU - Jia, Xiaowei

AU - Xie, Yiqun

PY - 2025

Y1 - 2025

U2 - 10.1145/3748636.3762764

DO - 10.1145/3748636.3762764

M3 - Conference contribution

BT - The 33rd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’25)

ER -