32 Works

Climate Risk Analysis for Identifying and Weighing Adaptation Strategies for the Agricultural Sector in Northern Ghana

Paula Aschenbrenner, Christoph Gornott, Abel Chemura, Lemlem Habtemariam, Sophia Lüttringhaus, Lisa Murken, Felicitas Roehrig, Julia Tomalka & Francis Jarawura

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...

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.

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 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...

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 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...

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...

ISIpedia country masks

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...

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...

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...

ISIMIP3a water abstraction input data

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...

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...

Secondary ISIMIP3b bias-adjusted atmospheric climate input data

Stefan Lange & 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 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...

Secondary ISIMIP3b bias-adjusted atmospheric climate input data

Stefan Lange & 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 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...

ISIMIP2b bias-adjusted 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...

ISIpedia country masks

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 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...

ISIMIP3a lakes fraction input data

Inne Vanderkelen, Daniel Mercado-Bettin & 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...

ISIMIP2b Simulation Data from the Local Lakes Sector

Rafael Marcé, Donald Pierson, Daniel Mercado-Bettin, Wim Thiery, Sebastiano Piccolroaz, Bronwyn Woodward, Richard Iestyn Woolway, Zeli Tan, Georgiy Kirillin, Tom Shatwell, Raoul-Marie Couture, Marianne Côté, Damien Bouffard, Carl Love Mikael Råman Vinnå, Martin Schmid & 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...

Registration Year

  • 2022
    32

Resource Types

  • Dataset
    31
  • Report
    1

Affiliations

  • Potsdam Institute for Climate Impact Research
    32
  • ETH Zurich
    12
  • Catalan Institute for Water Research
    6
  • Vrije Universiteit Brussel
    4
  • Uppsala University
    3
  • German Meteorological Service
    2
  • Auburn University
    2
  • Mississippi State University
    2
  • Swiss Federal Institute for Forest, Snow and Landscape Research
    2
  • Helmholtz Centre for Environmental Research
    1