32 Works

ISIMIP3a N-deposition input data

Jia Yang & Hanqin Tian
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...

ISIMIP3a atmospheric composition input data

Matthias Büchner & Christopher Reyer
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...

ISIMIP3a atmospheric climate input data

Stefan Lange, Matthias Mengel, Simon Treu & Matthias Büchner
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...

ISIMIP3a N-deposition input data

Jia Yang & Hanqin Tian
Nitrogen deposition data was interpolated to 0.5° by 0.5° by the nearest grid. Data from 2015 to 2021 are taken from 2014 as it is assumed to be same (Tian et al. 2018).

ISIMIP3a landuse input data

Jan Volkholz & Sebastian Ostberg
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...

ISIMIP3b lakes fraction input data

Inne Vanderkelen, Daniel Mercado-Bettin & Jacob Schewe
The data are derived from the HydroLAKES v1.0 (Messager et al., 2016) and GRanD v1.3 (Lehner et al., 2011) databases and rasterized using the polygon_to_cellareafraction tool (Vanderkelen 2021, available on GitHub), and mapped to 0.5 degrees resolution. Time steps represent increasing reservoirs in their construction year, as given by GRanD.

ISIMIP2b water abstraction input data

Yoshihide Wada, Martina Flörke, Naota Hanasaki, Hannes Müller Schmied, Simon N. Gosling & Jacob Schewe
This data is based on ISIMIP2a varsoc simulations for 1901-2005, and on RCP6.0 simulations from the Water Futures and Solutions project (Wada et al., 2016) for after 2005. Years before 1901 have been filled with the value for the year 1901.

ISIMIP3b population input data

Jan Volkholz, Stefan Lange & Tobias Geiger
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 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...

ISIMIP3a N-fertilizer input data

Jan Volkholz & Sebastian Ostberg
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...

ISIMIP3a wood harvesting input data

Iliusi Vega del Valle, Christopher Reyer & Mahé Perrette
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...

ISIMIP3a population input data

Jan Volkholz, Stefan Lange & Tobias Geiger
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...

ISIMIP2b Simulation Data from the Global Lakes Sector

Rafael Marcé, Donald Pierson, Daniel Mercado-Bettin, Wim Thiery, Zeli Tan, Sonia Seneviratne, Malgorzata Golub, Andrey Debolskiy, Victor Stepanenko, Marjorie Perroud, Bram Droppers & Jacob Schewe
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...

ISIMIP2a Simulation Data from the Global Lakes Sector

Rafael Marcé, Donald Pierson, Daniel Mercado-Bettin, Wim Thiery, Zeli Tan & Jacob Schewe
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...

ISIMIP3a water abstraction input data

Yoshihide Wada, Martina Flörke, Naota Hanasaki, Hannes Müller Schmied, Simon N. Gosling & Jacob Schewe
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...

ISIMIP2a atmospheric climate input data

Stefan Lange & Matthias Büchner
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...

CHELSA-W5E5 v1.0: W5E5 v1.0 downscaled with CHELSA v2.0

Dirk N. Karger, Stefan Lange, Chantal Hari, Christopher P. O. Reyer & Niklaus E. Zimmermann
The CHELSA-W5E5 dataset was created to serve as observational climate input data for the impact assessments carried out in phase 3a of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a).
Version 1.0 of the CHELSA-W5E5 dataset covers the entire globe at 30 arcsec horizontal and daily temporal resolution from 1979 to 2016. Data sources of CHELSA-W5E5 are version 1.0 of WFDE5 over land merged with ERA5 over the ocean (W5E5; Lange, 2019; Cucchi et al., 2020), the...

ISIMIP3a population input data

Jan Volkholz, Stefan Lange & Tobias Geiger
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...

ISIMIP3a atmospheric composition input data

Matthias Büchner & Christopher Reyer
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...

ISIMIP3b atmospheric composition input data

Matthias Büchner & Christopher Reyer
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 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...

ISIMIP3a wood harvesting input data

Iliusi Vega del Valle, Christopher Reyer & Mahé Perrette
The data is based on the LUH2 v2h Harmonization Data Set (see Hurtt et al. 2011; see also https://luh.umd.edu). Interpolated to a 0.5° grid using first-order conservative remapping and calculated over a fractional country mask (https://gitlab.pik-potsdam.de/isipedia/countrymasks/-/blob/master/) derived from ASAP-GAUL (https://data.europa.eu/euodp/data/dataset/jrc-10112-10004).

ISIMIP2a Simulation Data from the Regional Forests Sector

Mats Mahnken, Alessio Collalti, Daniela Dalmonech, Carlo Trotta, Volodymyr Trotsiuk, Andrey Lessa Derci Augustynczik, Rasoul Yousefpour, Martin Gutsch, David Cameron, Harald Bugmann, Nica Huber, Timothy Thrippleton, Friedrich Bohn, Daniel Nadal-Sala, Santiago Sabaté, Rüdiger Grote, Annikki Mäkelä, Francesco Minunno, Mikko Peltoniemi, Patrick Vallet, Marek Fabrika, Katarína Merganičová, Iliusi Vega del Valle, Jan Volkholz & Christopher Reyer
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...

CHELSA-W5E5 v1.0: W5E5 v1.0 downscaled with CHELSA v2.0

Dirk N. Karger, Stefan Lange, Chantal Hari, Christopher P. O. Reyer & Niklaus E. Zimmermann
The CHELSA-W5E5 dataset was created to serve as observational climate input data for the impact assessments carried out in phase 3a of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a).
Version 1.0 of the CHELSA-W5E5 dataset covers the entire globe at 30 arcsec horizontal and daily temporal resolution from 1979 to 2016. Data sources of CHELSA-W5E5 are version 1.0 of WFDE5 over land merged with ERA5 over the ocean (W5E5; Lange, 2019; Cucchi et al., 2020), the...

ISIMIP3a N-fertilizer input data

Jan Volkholz & Sebastian Ostberg
The fertilization rates are based on the harmonized land use dataset by Hurtt, G. et al. (2020, see also https://luh.umd.edu). They used different sources, please read their manuscript for of further information.

ISIMIP3a landuse input data

Jan Volkholz & Sebastian Ostberg
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...

ISIMIP3a lakes input data

Inne Vanderkelen & Jacob Schewe
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...

Registration Year

  • 2022
    32

Resource Types

  • Dataset
    32

Affiliations

  • Potsdam Institute for Climate Impact Research
    32
  • ETH Zurich
    12
  • Catalan Institute for Water Research
    5
  • Vrije Universiteit Brussel
    3
  • Uppsala University
    3
  • Ruhr University Bochum
    3
  • Helmholtz Centre for Environmental Research
    2
  • German Meteorological Service
    2
  • Auburn University
    2
  • Mississippi State University
    2