Published February 5, 2025 | Version v3
Dataset Open

ARISE-SAI_1.5 : CESM2 Extreme Precipitation and Temperature Indices

  • 1. NCAR

Description

Assessing Responses and Impacts of Solar climate intervention on the Earth system with Stratospheric Aerosol Injection (ARISE-SAI) is a set of simulations carried out with the Community Earth System Model, version 2 with the Whole Atmosphere Community Climate Model, version 6 (CESM2(WACCM6)) that aims at simulating a plausible deployment of solar climate intervention of stratospheric aerosol injection to enable community assessment of responses of the Earth system.

This dataset uses the first set of simulations, called ARISE-SAI-1.5, that utilized the middle-of-the-road SSP2-4.5 emission scenario, and targetted a global mean surface air temperature near 1.5°C above the pre-industrial value. ARISE-SAI-1.5 is described in Richter et al. (2022). Selected data are available at Richter & Visioni (2022a,b).

The files contained here contain processed annual daily extremes of surface temperature (TREFHT) and total precipitation (PRECT) from the ARISE-SAI-1.5 simulations and companion SSP245 simulations. Indices are those recommended by the WCRP Expert Team on Climate Change Detection Indices, Zhang et al. 2011). Methods to calculate the indices are also described in Tye et al. (2022).

Precipitation Indices

PRCPTOT, SDII, RX1D, RX5D, R10mm, R20mm, CDD, CWD, P95TOT, P99TOT

Temperature Indices

TNN, TNX, FD, TR, TN90, TN10, TN90p, TN10p, TXX, TXN, ID, SU, TX90, TX10, TX10p, TX90p, WSDI

Where T?10 is the number of days below an annual 10th percentile threshold and T?90 is the number of days above an annual 90th percentile threshold (i.e. around 30 days per year).

T?10p as defined by ETCCDI is the frequency of days below the rolling 5-day average climatological day of year 10th percentile. This threshold is also used for the cold spell duration index (CSDI), or consecutive days that are cool for the season.

T?90p as defined by ETCCDI is the frequency of days above the rolling 5-day average climatological day of year 90th percentile. This threshold is also used for the warm spell duration index (WSDI), or consecutive days that are warm for the season.

Notes

More information can be found here: https://www.cesm.ucar.edu/projects/community-projects/ARISE-SAI/ Computing resources (doi:10.5065/D6RX99HX) were provided by NCAR's Computational and Information Systems Laboratory, sponsored by the National Science Foundation.

Files

ARISE-SAI.1.5_PRECT_Extremes.zip

Files (2.8 GB)

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md5:ce15ccd75be43a2404bce89335f005bc
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md5:493fb65d84b9757c57dcbef2d1ba0f32
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md5:0919e8dc86f8c2c62550a54209168245
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Additional details

Related works

Cites
Dataset: 10.5065/9kcn-9y79 (DOI)

Dates

Updated
2025-01-10
Temperature indices removed as incorrectly labelled.

References

  • Richter, J. H., Visioni, D., MacMartin, D. G., Bailey, D. A., Rosenbloom, N., Lee, W., Tye, M. R., & Lamarque, J.-F. (2022). Assessing Responses and Impacts of Solar climate intervention on the Earth system with stratospheric aerosol injection (ARISE-SAI). Geoscientific Model Development, 15(22), 8221–8243. https://doi.org/10.5194/gmd-15-8221-2022
  • Richter, Jadwiga, & Visioni, Daniele. (2022a). ARISE-SAI-1.5: Assessing Responses and Impacts of Solar climate intervention on the Earth system with Stratospheric Aerosol Injection, with cooling to 1.5C [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6473775
  • Richter, Jadwiga, & Visioni, Daniele. (2022b). SSP2-4.5 Simulations with CESM2(WACCM6) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6473954
  • Tye, M. R., Dagon, K., Molina, M. J., Richter, J. H., Visioni, D., Kravitz, B., & Tilmes, S. (2022). Indices of Extremes: Geographic patterns of change in extremes and associated vegetation impacts under climate intervention. Earth System Dynamics, 13, 1233–1257. https://doi.org/10.5194/esd-13-1233-2022
  • Zhang, Xuebin et al. (2011) Indices for monitoring changes in extremes based on daily temperature and precipitation data 10.1002/wcc.147