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Werning, M., Frank, S. 
ORCID: https://orcid.org/0000-0001-5702-8547, Hooke, D., Nguyen, B. ORCID: https://orcid.org/0000-0002-2260-8186, Rafaj, P. ORCID: https://orcid.org/0000-0003-1000-5617, Satoh, Y., Wögerer, M., Krey, V. ORCID: https://orcid.org/0000-0003-0307-3515, Riahi, K. ORCID: https://orcid.org/0000-0001-7193-3498, van Ruijven, B. ORCID: https://orcid.org/0000-0003-1232-5892, & Byers, E. ORCID: https://orcid.org/0000-0003-0349-5742
(2023).
Climate Solutions Explorer - hazard, impacts and exposure data.
10.5281/zenodo.10212339.
Abstract
This is a pre-release dataset and is subject to change.
The Climate Solutions Explorer website maps and presents information about mitigation pathways, avoided climate impacts, vulnerabilities and risks arising from development and climate change. www.climate-solutions-explorer.eu
Using the latest data, state-of-the-art models were used to assess the future trends of indicators of development- and climate-induced challenges.
Updated gridded global climate and impact model data are based on CMIP6 and CMIP5 projections, using a subset of models from the ISIMIP project that have been consistently downscaled and bias-corrected. The data includes various indicators (~30) relating to extremes of precipitation and temperature (e.g. from Expert Team on Climate Change Detection and Indices), hydrological variables including runoff and discharge, heat stress (from wet bulb temperature) events (multiple statistics and durations), and cooling degree days, as well as further indicators relating to air pollution (PM2.5 from the GAINs model), and crop yields and natural habitat land-use change (biodiversity pressure) from the GLOBIOM model.
Indicators were calculated at a spatial resolution of 0.5° (approximately 50km at the equator), and subsequently spatially aggregated to the country level – from which population and land area exposure to the impacts were calculated. This has enabled the country-by-country comparison of national climate impacts and avoided exposure. Impacts were calculated at global mean temperature intervals, i.e. 1.2, 1.5, 2, 2.5, 3, and 3.5 °C, compared to a pre-industrial climate.
The dataset includes:
Global gridded projections (in netcdf format) of all the climate impact indicators at 0.5° spatial resolution, at global mean temperature intervals of 1.2, 1.5, 2, 2.5, 3, and 3.5 °C
Tabular data (Excel .csv) is also provided, aggregating the impact indicators to the country level, for both hazards and exposure (both population and land)
Further details on the methodology and indicator definitions are available on the Data Story page – www.climate-solutions-explorer.eu/story/data.
| Item Type: | Data |
|---|---|
| Additional Information: | Creative Commons Attribution 4.0 International |
| Uncontrolled Keywords: | climate impacts, avoided impacts, climate data |
| Research Programs: | Biodiversity and Natural Resources (BNR) Biodiversity and Natural Resources (BNR) > Integrated Biosphere Futures (IBF) Biodiversity and Natural Resources (BNR) > Water Security (WAT) Energy, Climate, and Environment (ECE) Energy, Climate, and Environment (ECE) > Integrated Assessment and Climate Change (IACC) Energy, Climate, and Environment (ECE) > Pollution Management (PM) Energy, Climate, and Environment (ECE) > Sustainable Service Systems (S3) |
| Depositing User: | Luke Kirwan |
| Date Deposited: | 18 Dec 2023 14:18 |
| Last Modified: | 07 Feb 2024 10:00 |
| URI: | https://pure.iiasa.ac.at/19295 |
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