ISIMIP3b tropical cyclone wind and rain fields (MIT)

Cite as

Dánnell Quesada-Chacón, Lisa Novak, Linn Hamester, Christian Otto (2025): ISIMIP3b tropical cyclone wind and rain fields (MIT). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.779038

Metadata

DOI:
https://doi.org/10.48364/ISIMIP.779038
Title:
ISIMIP3b tropical cyclone wind and rain fields (MIT)
Version:
1.0
Creators:
Contact person:

For inquiries concerning this dataset, please contact info@isimip.org.

Abstract:

This data set provides tropical cyclone (TC) wind and rain fields to be used as input data for ISIMIP3b (www.isimip.org, Frieler et al. 2025). These fields are calculated from large ensembles of synthetic tropical cyclone tracks (1,500 tracks per year for each RCP–SSP combination in ISIMIP3b) over the period 2015–2100, using the MIT approach (Emanuel et al. 2025).

Gridded wind speeds are derived from the track data using two parametric wind profiles: ER11 (Emanuel and Rotunno 2011) and H08 (Holland 2008). Gridded rain fields are derived from the track data using the physics-based tropical cyclone precipitation model (Zhu, Quiring, and Emanuel 2013). Details are described in the ISIMIP3b protocol paper (Frieler et al. 2025).

Publication date:
Oct. 1, 2025
Publisher:
ISIMIP Repository
Contributors:

Here we list the persons and organizations, who are responsible for the collection, the management, and the publication of this dataset.

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References

  • Emanuel, K., and R. Rotunno, 2011: Self-Stratification of Tropical Cyclone Outflow. Part I: Implications for Storm Structure. J. Atmos. Sci., 68, 2236–2249, https://doi.org/10.1175/JAS-D-10-05024.1
  • Frieler, Katja, Stefan Lange, Jacob Schewe, Matthias Mengel, Simon Treu, Christian Otto, Jan Volkholz, et al. 2025. “Scenario Set-up and the New CMIP6-Based Climate-Related Forcings Provided within the Third Round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3b, Group I and II).” https://doi.org/10.5194/egusphere-2025-2103
  • Holland, G., 2008: A Revised Hurricane Pressure–Wind Model. Mon. Wea. Rev., 136, 3432–3445, https://doi.org/10.1175/2008MWR2395.1
  • Zhu, L., S. M. Quiring, and K. A. Emanuel (2013), Estimating tropical cyclone precipitation risk in Texas, Geophys. Res. Lett., 40, 6225–6230, https://doi.org/10.1002/2013GL058284

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GCMD Keywords

  • EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > TROPICAL CYCLONES
  • Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled vocabularies maintained by NASA (more information).

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