Publication Abstracts
Sarkar et al. 2026, in press
Sarkar, M., S. Dee, M. Frazer, A. Bailey, S. Good, S. Mandal, S. Noël, M. Schneider, , K. Bowman, H.C. Steen-Larsen, M. Haagsma, and J. Worden, 2026: WISO-SAT: A global database of stable hydrogen isotopes in water vapor from eight satellite missions. Sci. Data, in press, doi:10.1038/s41597-026-08218-8.
Stable isotopes of hydrogen, including deuterium (δD), provide a critical tracer for understanding Earth's hydrological cycle and climate dynamics. Recognizing this, the last two decades have seen a number of remote sensing missions geared towards measuring the ratio of HDO/H2O in water vapor. At present, however, observational gaps persist in remote regions and across satellite platforms. Furthermore, these data span different time periods, altitudes, and are inconsistently formatted, complicating intercomparison. To address this, we describe WISO-SAT, a harmonized multi-instrument database of monthly δD and moisture concentration retrievals from eight satellite missions (SCIAMACHY, GOSAT, GOSAT-2, TROPOMI, TES, AIRS, CrIS, IASI) distributed as instrument-specific gridded NetCDF products at 1°×1° and 5°×5° horizontal resolutions. Key innovations and standardization of these 8 data products are made through bias correction across platforms and by providing uncertainty quantification. The dataset spans 2002-2024, enabling studies of decadal climate variability and changes in the seasonal cycle. These standardized and publicly available water vapor isotope products address a critical gap in isotopic observations from satellites across different timelines, supports climate model evaluation and development (e.g., isotope-enabled GCMs), and process-level studies of atmospheric phenomena such as moisture transport, rain formation and evaporation, and atmospheric rivers. An open-access repository includes NetCDF files and preprocessing codes used to format each dataset. We also provide example notebooks and scripts demonstrating model-satellite averaging kernel application and regression-based bias correction for surface δD comparison. WISO-SAT enables novel applications in atmospheric science and hydrology, and provides an open data product that can be used to validate the simulation of Earth's water cycle in GCMs.
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BibTeX Citation
@unpublished{sa07500f,
author={Sarkar, M. and Dee, S. and Frazer, M. and Bailey, A. and Good, S. and Mandal, S. and Noël, S. and Schneider, M. and Bong, H. and Bowman, K. and Steen-Larsen, H. C. and Haagsma, M. and Worden, J.},
title={WISO-SAT: A global database of stable hydrogen isotopes in water vapor from eight satellite missions},
year={2026},
journal={Scientific Data},
doi={10.1038/s41597-026-08218-8},
note={Manuscript accepted for publication}
}
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RIS Citation
TY - INPR ID - sa07500f AU - Sarkar, M. AU - Dee, S. AU - Frazer, M. AU - Bailey, A. AU - Good, S. AU - Mandal, S. AU - Noël, S. AU - Schneider, M. AU - Bong, H. AU - Bowman, K. AU - Steen-Larsen, H. C. AU - Haagsma, M. AU - Worden, J. PY - 2026 TI - WISO-SAT: A global database of stable hydrogen isotopes in water vapor from eight satellite missions JA - Sci. Data JO - Scientific Data DO - 10.1038/s41597-026-08218-8 ER -
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