ISIMIP2b bias-adjusted atmospheric climate input data

Cite as

Stefan Lange, Matthias Büchner (2017): ISIMIP2b bias-adjusted atmospheric climate input data (v1.0). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.208515

Metadata

DOI:
https://doi.org/10.48364/ISIMIP.208515
Title:
ISIMIP2b bias-adjusted 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 set of consistent, multi-sector, multi-scale climate-impact simulations, based on scientifically and politically relevant historical and future scenarios. This framework serves as a basis for robust projections of climate impacts, as well as facilitating model evaluation and improvement, allowing for advanced estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming. It also provides a unique opportunity to consider interactions between climate impacts across sectors.

ISIMIP2b is the second simulation round of the second phase of ISIMIP. ISIMIP2b considers impacts on different sectors at the global and regional scales: water, fisheries and marine ecosystems, energy supply and demand, forests, biomes, agriculture, agro-economic modeling, terrestrial biodiversity, permafrost, coastal infrastructure, health and lakes.

This dataset covers the CMIP5-based and bias-adjusted atmospheric climate input data for all three groups of ISIMIP2b simulations. Such data are available for 4 CMIP5 global climate models (MIROC5, GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR), 5 CMIP5 experiments (piControl, historical, RCP2.6, RCP6.0, RCP8.5) and 12 CMIP5 variables (huss, hurs, pr, prsn, ps, psl, rlds, rsds, sfcWind, tas, tasmax, tasmin).

Methods:

Raw CMIP5 model outputs were conservatively interpolated to 0.5° horizontal resolution and then bias-adjusted using the observational reference dataset EWEMBI v1.1 (Lange, 2018; Lange 2019) and an augmented version of the Hempel et al. (2013) method (Lange, 2017). For more details see the ISIMIP2b protocol paper (Frieler et al. 2017).

Publication date:
Nov. 21, 2017
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.

Export

Download

API

References

  • Hempel, S., Frieler, K., Warszawski, L., Schewe, J., and Piontek, F.: A trend-preserving bias correction – the ISI-MIP approach, Earth Syst. Dynam., 4, 219–236, 2013. https://doi.org/10.5194/esd-4-219-2013
  • Lange, Stefan. (2017). ISIMIP2b Bias-Correction Code. Zenodo. https://doi.org/10.5281/zenodo.1069050
  • Frieler, K., Lange, S., Piontek, F., Reyer, C. P. O., Schewe, J., Warszawski, L., Zhao, F., Chini, L., Denvil, S., Emanuel, K., Geiger, T., Halladay, K., Hurtt, G., Mengel, M., Murakami, D., Ostberg, S., Popp, A., Riva, R., Stevanovic, M., Suzuki, T., Volkholz, J., Burke, E., Ciais, P., Ebi, K., Eddy, T. D., Elliott, J., Galbraith, E., Gosling, S. N., Hattermann, F., Hickler, T., Hinkel, J., Hof, C., Huber, V., Jägermeyr, J., Krysanova, V., Marcé, R., Müller Schmied, H., Mouratiadou, I., Pierson, D., Tittensor, D. P., Vautard, R., van Vliet, M., Biber, M. F., Betts, R. A., Bodirsky, B. L., Deryng, D., Frolking, S., Jones, C. D., Lotze, H. K., Lotze-Campen, H., Sahajpal, R., Thonicke, K., Tian, H., and Yamagata, Y.: Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b), Geosci. Model Dev., 10, 4321–4345, 2017 https://doi.org/10.5194/gmd-10-4321-2017,
  • Lange, S.: Bias correction of surface downwelling longwave and shortwave radiation for the EWEMBI dataset, Earth Syst. Dynam., 9, 627–645, 2018. https://doi.org/10.5194/esd-9-627-2018

Source datasets

Additional documentation

GCMD Keywords

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

Datasets for this DOI

There are 240 datasets for this DOI. Here we only display the first 100 datasets. You can use the search interface to further restrict your query: https://data.isimip.org/search/query/10.48364/ISIMIP.208515/