ISIMIP3a landuse input data
Cite as
Jan Volkholz, Sebastian Ostberg (2024): ISIMIP3a landuse input data (v1.3). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.571261.3
Metadata
- Title:
- ISIMIP3a landuse input data
- Version:
- 1.3
- Creators:
-
- Jan Volkholz 0000-0002-2533-3739
- Sebastian Ostberg 0000-0002-2368-7015
- Contact person:
-
- Jan Volkholz 0000-0002-2533-3739
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.
This data set provides annual maps of various land use categories. In particular it gives annual maps of both rainfed and irrigated areas of total croplands, of 5 crop categories (C3 annual, C3 perennial, C4 annual, C4 perennial and C3 nitrogen fixing crops) and of 15 crop types/categories (C3 annual disaggregated into: rapeseed, rice, temperate cereals, temperate roots, tropical roots, sunflower, others C3 annual; C3 perennial: (no further disaggregation); C3 nitrogen-fixing disaggregated into: groundnut, pulses, soybean, others C3 nitrogen-fixing; C4 annual disaggregated into: maize, tropical cereals; C4 perennial: sugarcane). Furthermore, maps of pastures, managed rangelands and urban areas are provided.
Data is available for the historical time period: 1850-2021.
Version 1.1 of this dataset adds the 1901soc scenario with fixed year-1901 direct human influences.
Version 1.2 adds data for the years 2020 and 2021.
Version 1.3 adds information on forests and natural vegetation.
- Methods:
-
The land use data here originates from the historic LUH2 data set (Hurtt et al, 2020, see also https://luh.umd.edu), which in turn is based on HYDE 3.2 (Klein-Goldewijk, 2016), and the Monfreda data set (Monfreda et al, 2008). All variables except for the 15 crops variables were obtained by interpolation from LUH2. The 15 crop variables distribute the coarser 5 crop types according to the Monfreda data set, which gives spatial distribution of 175 different crops in the year 2000, thereby obtaining the 15 crop types maps.
The data was extended to 2019-2021 by using the values for 2018.
- Publication date:
- Nov. 14, 2024
- Publisher:
- ISIMIP Repository
- Contributors:
-
- Matthias Büchner 0000-0002-1382-7424
- Jochen Klar 0000-0002-5883-4273
- Lisa Novak 0009-0003-5086-1079
- Stefanie Heinicke 0000-0003-0222-5281
- Matthias Mengel 0000-0001-6724-9685
- Christian Otto 0000-0001-5500-6774
- Franziska Piontek 0000-0003-4305-7552
- Dánnell Quesada-Chacón 0000-0001-5700-1846
- Christopher P.O. Reyer 0000-0003-1067-1492
- Inga Sauer 0000-0002-9302-2131
- Jacob Schewe 0000-0001-9455-4159
- Jan Volkholz 0000-0002-2533-3739
- Martin Park 0000-0002-2467-3256
- Katja Frieler 0000-0003-4869-3013
- Potsdam Institute for Climate Impact Research (PIK) 03e8s1d88
Here we list the persons and organizations, who are responsible for the collection, the management, and the publication of this dataset.
Rights
Export
Download
API
References
Source datasets
Additional documentation
This DOI is a new version of
GCMD Keywords
- EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > LAND MANAGEMENT
- Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled vocabularies maintained by NASA (more information).
Datasets for this DOI
-
485.9 MB ISIMIP3a InputData socioeconomic 20220607landuse-15crops_1901soc_annual
-
193.4 MB ISIMIP3a InputData socioeconomic 20220607landuse-5crops_1901soc_annual
-
141.8 MB ISIMIP3a InputData socioeconomic 20241114landuse-forests-and-natural-vegetation_1901soc_annual
-
63.3 MB ISIMIP3a InputData socioeconomic 20220607landuse-pastures_1901soc_annual
-
128.7 MB ISIMIP3a InputData socioeconomic 20241114landuse-totals_1901soc_annual
-
28.1 MB ISIMIP3a InputData socioeconomic 20220607landuse-urbanareas_1901soc_annual
-
5.1 GB ISIMIP3a InputData socioeconomic 20220607landuse-15crops_2015soc_annual
-
1.8 GB ISIMIP3a InputData socioeconomic 20220607landuse-5crops_2015soc_annual
-
149.6 MB ISIMIP3a InputData socioeconomic 20241114landuse-forests-and-natural-vegetation_2015soc_annual
-
347.7 MB ISIMIP3a InputData socioeconomic 20220607landuse-pastures_2015soc_annual
-
133.1 MB ISIMIP3a InputData socioeconomic 20241114landuse-totals_2015soc_annual
-
173.9 MB ISIMIP3a InputData socioeconomic 20220607landuse-urbanareas_2015soc_annual
-
501.1 MB ISIMIP3a InputData socioeconomic 20220607landuse-15crops_histsoc_annual
-
199.0 MB ISIMIP3a InputData socioeconomic 20220607landuse-5crops_histsoc_annual
-
151.8 MB ISIMIP3a InputData socioeconomic 20241114landuse-forests-and-natural-vegetation_histsoc_annual
-
63.6 MB ISIMIP3a InputData socioeconomic 20220607landuse-pastures_histsoc_annual
-
135.8 MB ISIMIP3a InputData socioeconomic 20241114landuse-totals_histsoc_annual
-
27.9 MB ISIMIP3a InputData socioeconomic 20220607landuse-urbanareas_histsoc_annual