Published October 9, 2025 | Version v2
Dataset Open

ForceSMIP Tier 1 Data Repository

Creators

  • 1. EDMO icon ETH Zürich
  • 2. ROR icon NSF National Center for Atmospheric Research
  • 3. University of California, Los Angeles
  • 4. ROR icon Lawrence Livermore National Laboratory
  • 5. ROR icon Leipzig University
  • 6. ROR icon Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques
  • 7. EDMO icon University of Valencia
  • 8. ROR icon Colorado State University
  • 9. Institute of Applied Physics
  • 10. ROR icon Stanford University
  • 11. Max-Planck-Institute for Meteorology
  • 12. ROR icon University of Oxford
  • 13. EDMO icon University of Wisconsin-Milwaukee
  • 14. ROR icon Cornell University
  • 15. ROR icon Tohoku University
  • 16. ROR icon NOAA Physical Sciences Laboratory
  • 17. ROR icon New York University
  • 18. ROR icon University of Colorado Boulder

Contributors

Description

Data archive for Tier 1 of the ForceSMIP project, which is described in "Forced Component Estimation Statistical Method Intercomparison Project (ForceSMIP)" by Wills et al. Please cite that paper for any usage of this data (preprint citation information below; cite final published version once available). 

Wills, R.C.J., C. Deser, K.A. McKinnon, A. Phillips, S. Po-Chedley, S. Sippel, A.L. Merrifield, C. Bône, C. Bonfils, G. Camps-Valls, S. Cropper, C. Connolly, S. Duan, H. Durand, A. Feigin, M.A. Fernandez, G. Gastineau, A. Gavrilov, E. Gordon, M. Günther, M. Höver, S. Kravtsov, Y.-N. Kuo, J. Lien, G.D. Madakumbra, N. Mankovich, M. Newman, J. Rader, J.-R. Shi, S.-I. Shin, G. Varando: Forced Component Estimation Statistical Method Intercomparison Project (ForceSMIP), ESS Open Archive, https://doi.org/10.22541/essoar.175003371.14843115/v1.

Types of data included here are:

  • Evaluation-Tier1: Raw data for 10 evaluation members, including reanalysis/observations (member "1I")
  • ensmeans-Tier1: The "true forced response", from the corresponding large ensemble mean, for the 9 evaluation members that are from models (all except "1I")
  • ForceSMIP-estimates-Tier1: ForcesSMIP method estimates of the forced response in each evaluation member

Each of these types of data is provided at monthly temporal resolution over 1950-2022, for each of 8 variables: tos (sea-surface temperature), tas (surface air temperature), pr (precipitation), psl (sea-level pressure), monmaxtasmax (monthly maximum daily maximum temperature), monmintasmin (monthly minimum daily minimum temperature), monmaxpr (monthly maximum daily precipitation), and zmta (zonal-mean atmospheric temperature). Annual maximums of monmaxtasmax and monmaxpr give the annual maximums TXx and Rx1day following standard notational conventions in the study of extreme events (Zhang et al. 2011, https://doi.org/10.1002/wcc.147). Similarly, the annual minimum of monmintasmin gives TNn.

For further details about the dataset and how it was generated, see Wills et al., "Forced Component Estimation Statistical Method Intercomparison Project (ForceSMIP)".

Correspondence: Robert Jnglin Wills (r.jnglinwills@usys.ethz.ch)

Files

ensmeans-Tier1.zip

Files (138.4 GB)

Name Size Download all
md5:4065522d462bc5a1c0046c44bdc08db6
4.2 GB Preview Download
md5:05536d89babd0400ab32db598b393439
4.1 GB Preview Download
md5:839b633d87bd561f488ec009b2d048a3
130.0 GB Preview Download

Additional details

Related works

Is documented by
Preprint: 10.22541/essoar.175003371.14843115/v1 (DOI)

Funding

Swiss National Science Foundation
Constraining Future Changes in the Large-Scale Atmospheric Circulation to Improve Projections of Regional Climate Impacts PCEFP2-203376
U.S. National Science Foundation
NSF National Center for Atmospheric Research 185297