ISIMIP3 land-sea masks
Cite as
Stefan Lange, Matthias Büchner (2020): ISIMIP3 land-sea masks (v1.0). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.822294
Metadata
- Title:
- ISIMIP3 land-sea masks
- Version:
- 1.0
- Creators:
-
- Stefan Lange 0000-0003-2102-8873
- Matthias Büchner 0000-0002-1382-7424
- Contact person:
-
- Stefan Lange 0000-0003-2102-8873
For inquiries concerning this dataset, please contact info@isimip.org.
- 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 AR5 Working Group II Chapter 18. 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” baseline.
The ISIMIP3b part of the third simulation round is dedicated to a quantification of climate-related risks at different levels of global warming and socio-economic change. ISIMIP3b group I simulations are based on historical climate change as simulated in CMIP6 combined with observed historical socio-economic forcing. ISIMIP3b group II simulations are based on climate change according to the CMIP6 future projections combined with socio-economic forcings fixed at 2015 levels. ISIMIP3b group III simulations additionally account for future changes in socio-economic forcing.
This dataset contains several land-sea masks to be used for ISIMIP3a and ISIMIP3b. The masks are binary on a 0.5° x 0.5° latitude-longitude grid. The main file (labeled landseamask) is the land-sea mask of the W5E5 dataset (Lange, 2019; Cucchi et al., 2020). Over all grid cells marked as land by this mask, all climate data that are based on W5E5 (GSWP3-W5E5 as well as climate data bias-adjusted using W5E5) represent climate conditions over land. The mask is also provided in a version without Antarctica. In addition, the generic land-sea mask from ISIMIP2b is provided to be used for global water simulations in ISIMIP3. It marks more grid cells as land than landseamask.
- Methods:
-
The land-sea mask of the W5E5 dataset is identical to the land-sea mask of the WFDE5 dataset (Cucchi et al., 2020). The generic land-sea mask from ISIMIP2b is identical to the land-sea mask of the CRU TS dataset (Harris et al., 2020) except for the position of Antipodes Island, which is shifted by 0.5° to the north in the ISIMIP2b mask.
- Publication date:
- July 1, 2020
- Publisher:
- ISIMIP Repository
- Contributors:
-
- Matthias Büchner 0000-0002-1382-7424
- Jochen Klar 0000-0002-5883-4273
- Iliusi Vega del Valle 0000-0001-6902-2257
- Jan Volkholz
- Jacob Schewe 0000-0001-9455-4159
- Stefan Lange 0000-0003-2102-8873
- Franziska Piontek 0000-0003-4305-7552
- Christopher Reyer 0000-0003-1067-1492
- Matthias Mengel 0000-0001-6724-9685
- María del Rocío Rivas López 0000-0002-1984-3070
- Christian Otto 0000-0001-5500-6774
- Bjoern Soergel 0000-0002-2630-7081
- Anne Gädeke 0000-0003-0514-2908
- Martin Park 0000-0002-2467-3256
- Barbara Templ 0000-0002-9391-5888
- Katja Frieler 0000-0003-4869-3013
- Potsdam Institute for Climate Impact Research 03e8s1d88
Here we list the persons and organizations, who are responsible for the collection, the management, and the publication of this dataset.
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References
- Lange, Stefan (2019): WFDE5 over land merged with ERA5 over the ocean (W5E5). V. 1.0. GFZ Data Services. https://doi.org/10.5880/pik.2019.023
- 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
- Harris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3
Source datasets
- C3S (2021): Near surface meteorological variables from 1979 to 2019 derived from bias-corrected reanalysis, CDS https://doi.org/10.24381/cds.20d54e34
- Ian Harris(2021): CRU TS Version 4.05 → https://crudata.uea.ac.uk/cru/data/hrg/cru_ts_4.05/
Additional documentation
- ISIMIP3 simulation protocol (2020) → https://protocol.isimip.org
- Detailed description on isimip.org → https://www.isimip.org/gettingstarted/input-data-bias-correction/details/41/
GCMD Keywords
- EARTH SCIENCE > OCEANS > COASTAL PROCESSES > SHORELINES
- Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled vocabularies maintained by NASA (more information).
Datasets for this DOI
-
landseamask46.5 KBISIMIP3a InputData geo_conditions 20200706
-
landseamask
_no-ant 65.6 KBISIMIP3a InputData geo_conditions 20200706 -
landseamask
_water-global 28.5 KBISIMIP3a InputData geo_conditions 20200706 -
landseamask46.5 KBISIMIP3b InputData geo_conditions 20200706
-
landseamask
_no-ant 65.6 KBISIMIP3b InputData geo_conditions 20200706 -
landseamask
_water-global 28.5 KBISIMIP3b InputData geo_conditions 20200706