ISIMIP3a atmospheric climate input data

Please note that a newer version of this DOI is available: https://doi.org/10.48364/ISIMIP.982724.1

Cite as

Stefan Lange, Matthias Mengel, Simon Treu, Matthias Büchner (2022): ISIMIP3a atmospheric climate input data (v1.0). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.982724

Metadata

DOI:
https://doi.org/10.48364/ISIMIP.982724
Title:
ISIMIP3a atmospheric climate input data
Version:
1.0
Creators:
Abstract:

The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios.

The ISIMIP3a part of the third simulation round is dedicated to i) impact model evaluation and improvement and ii) detection and attribution of observed impacts according to the framework of IPCC Working Group II AR5 Chapter 18 and AR6 chapter 16. To this end all simulations are driven by observed socio-economic information combined with either observed (factual) climate data or a detrended (counterfactual) version of the observed climate allowing for the generation of a "no climate change" impact baseline.

We provide four factual climate input datasets for ISIMIP3a: GSWP3-W5E5, 20CRv3-W5E5, 20CRv3-ERA5, and 20CRv3. All of them have daily temporal and 0.5° spatial resolution. Their temporal coverage varies, with GSWP3-W5E5 and 20CRv3-W5E5 covering 1901-2019, while 20CRv3-ERA5 and 20CRv3 cover 1901-2021 and 1901-2015, respectively. For every factual dataset (obsclim) we provide an associated counterfactual dataset (counterclim) covering the same time period, 100 years worth of climate data to be used for model spin-up (spinclim), and 50 years worth of climate data for the transition from spinclim to counterclim or obsclim (transclim).

Methods:

The transclim data are identical to the last 50 years of the associated spinclim data. The spinclim data are identical to the first 100 years of the associated counterclim data. The counterclim data are a detrended version of the associated obsclim data, where the detrending is done using version 1.1 of the ATTRICI method (Mengel et al. 2021). In the following we briefly describe the obsclim datasets:

The GSWP3-W5E5 dataset is based on GSWP3 v1.09 (Kim 2017) and W5E5 v2.0 (Cucchi et al. 2020, Lange et al. 2021). The GSWP3 dataset is a dynamically downscaled and bias-adjusted version of the Twentieth Century Reanalysis version 2 (20CRv2; Compo et al. 2011). The W5E5 dataset is a bias-adjusted version of the latest version of the European Reanalysis (ERA5; Hersbach et al. 2020). For GSWP3-W5E5, we combine W5E5 for the time period 1979-2019 with GSWP3 bias-adjusted towards W5E5 for the time period 1901-1978. The bias adjustment is done using ISIMIP3BASD v2.5.1 (Lange 2019, 2021) in order to reduce discontinuities at the 1978/1979 transition. For more details see Mengel et al. (2021).

The 20CRv3-W5E5 dataset is based on W5E5 v2.0 and ensemble member 1 of the Twentieth Century Reanalysis version 3 (20CRv3; Slivinski et al. 2019, 2021) interpolated to 0.5° spatial resolution. For 20CRv3-W5E5, we combine W5E5 for the time period 1979-2019 with 20CRv3 bias-adjusted (using ISIMIP3BASD v2.5.1) towards W5E5 for the time period 1901-1978.

The 20CRv3-ERA5 dataset is created in the same way as 20CRv3-W5E5, but using ERA5 instead of W5E5 for the time period 1979-2021, and also as the bias adjustment target for the time period 1901-1978.

The 20CRv3 dataset is ensemble member 1 of 20CRv3 interpolated to 0.5° spatial resolution but not bias-adjusted to any other dataset.

Publication date:
May 24, 2022
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.

Rights

CC0 1.0 Universal Public Domain Dedication
CC0 1.0 Universal Public Domain Dedication (CC0 1.0)
When using ISIMIP data for your research, please appropriately credit the data providers, e.g. either by citing the DOI for the dataset, or by appropriate acknowledgment. We strongly encourage to offer co-authorship to at least a representative of the data providers. Further information can be found in our terms of use.

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References

  • Mengel, M., Treu, S., Lange, S., and Frieler, K.: ATTRICI v1.1 – counterfactual climate for impact attribution, Geosci. Model Dev., 14, 5269–5284, 2021. https://doi.org/10.5194/gmd-14-5269-2021
  • Cucchi, M., Weedon, G. P., Amici, A., Bellouin, N., Lange, S., Müller Schmied, H., Hersbach, H., and Buontempo, C.: WFDE5: bias-adjusted ERA5 reanalysis data for impact studies, Earth Syst. Sci. Data, 12, 2097–2120, 2020. https://doi.org/10.5194/essd-12-2097-2020
  • Compo, G.P., Whitaker, J.S., Sardeshmukh, P.D., Matsui, N., Allan, R.J., Yin, X., Gleason, B.E., Vose, R.S., Rutledge, G., Bessemoulin, P., Brönnimann, S., Brunet, M., Crouthamel, R.I., Grant, A.N., Groisman, P.Y., Jones, P.D., Kruk, M.C., Kruger, A.C., Marshall, G.J., Maugeri, M., Mok, H.Y., Nordli, Ø., Ross, T.F., Trigo, R.M., Wang, X.L., Woodruff, S.D. and Worley, S.J. (2011), The Twentieth Century Reanalysis Project. Q.J.R. Meteorol. Soc., 137: 1-28. https://doi.org/10.1002/qj.776
  • Hersbach, H, Bell, B, Berrisford, P, et al. The ERA5 global reanalysis. Q J R Meteorol Soc. 2020; 146: 1999– 2049. https://doi.org/10.1002/qj.3803
  • Slivinski, LC, Compo, GP, Whitaker, JS, et al. Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system. Q J R Meteorol Soc. 2019; 145: 2876– 2908. https://doi.org/10.1002/qj.3598
  • Slivinski, L. C., Compo, G. P., Sardeshmukh, P. D., Whitaker, J. S., McColl, C., Allan, R. J., Brohan, P., Yin, X., Smith, C. A., Spencer, L. J., Vose, R. S., Rohrer, M., Conroy, R. P., Schuster, D. C., Kennedy, J. J., Ashcroft, L., Brönnimann, S., Brunet, M., Camuffo, D., Cornes, R., Cram, T. A., Domínguez-Castro, F., Freeman, J. E., Gergis, J., Hawkins, E., Jones, P. D., Kubota, H., Lee, T. C., Lorrey, A. M., Luterbacher, J., Mock, C. J., Przybylak, R. K., Pudmenzky, C., Slonosky, V. C., Tinz, B., Trewin, B., Wang, X. L., Wilkinson, C., Wood, K., & Wyszyński, P. (2021). An Evaluation of the Performance of the Twentieth Century Reanalysis Version 3, Journal of Climate, 34(4), 1417-1438. Retrieved May 23, 2022 https://doi.org/10.1175/JCLI-D-20-0505.1
  • Lange, S.: Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0), Geosci. Model Dev., 12, 3055–3070, 2019b. https://doi.org/10.5194/gmd-12-3055-2019
  • Lange, Stefan. (2021). ISIMIP3BASD (2.5.1). Zenodo. https://doi.org/10.5281/zenodo.5776126

Source datasets

  • Hyungjun Kim. (2017). Global Soil Wetness Project Phase 3 Atmospheric Boundary Conditions (Experiment 1) [Data set]. Data Integration and Analysis System (DIAS). http://dx.doi.org/10.20783/DIAS.501
  • Stefan Lange, Christoph Menz, Stephanie Gleixner, Marco Cucchi, Graham P. Weedon, Alessandro Amici, Nicolas Bellouin, Hannes Müller Schmied, Hans Hersbach, Carlo Buontempo, Chiara Cagnazzo (2021): WFDE5 over land merged with ERA5 over the ocean (W5E5 v2.0). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.342217

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GCMD Keywords

  • EARTH SCIENCE > ATMOSPHERE
  • Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled vocabularies maintained by NASA (more information).

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