Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4651-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-4651-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
23 Sep 2025
Data description article |
| 23 Sep 2025
| 23 Sep 2025
A climate data record of atmospheric moisture and sea surface temperature from satellite observations
Yixiao Fu
School of Earth and Space Sciences, CMA-USTC Laboratory of Fengyun Remote Sensing, University of Science and Technology of China, Hefei, 230026, China
Cheng-Zhi Zou
independent researcher
Peng Zhang
Meteorological Observation Center, China Meteorological Administration, Beijing, 100081, China
Banghai Wu
School of Earth and Space Sciences, CMA-USTC Laboratory of Fengyun Remote Sensing, University of Science and Technology of China, Hefei, 230026, China
Shengli Wu
National Satellite Meteorological Center, China Meteorological Administration, Beijing, 100081, China
School of Earth and Space Sciences, CMA-USTC Laboratory of Fengyun Remote Sensing, University of Science and Technology of China, Hefei, 230026, China
National Satellite Meteorological Center, China Meteorological Administration, Beijing, 100081, China
Yu Wang
CORRESPONDING AUTHOR
School of Earth and Space Sciences, CMA-USTC Laboratory of Fengyun Remote Sensing, University of Science and Technology of China, Hefei, 230026, China
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Short summary
This study presents a climate data record (CDR) of atmospheric column water vapor and sea surface temperature using over two decades of stable-orbit satellite-based passive microwave imagery observations. The evaluation results show that the CDR has long-term consistency and continuity, and is more accurate than other similar products in climate covariability, suggesting that the CDR is suitable for climate change research and for constraining climate model simulations.
This study presents a climate data record (CDR) of atmospheric column water vapor and sea...
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