29 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...

ISIMIP3b population input data

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 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...

ISIMIP3b ocean input data

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...

ISIMIP3 land-sea masks

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 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 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 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 population input data

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...

Data from: Machine learning identifies ecological selectivity patterns across the end-Permian mass extinction

William Foster, Georgy Ayzel, Jannes Münchmeyer, Tabea Rettelbach, Niklas Kitzmann, Terry Isson, Maria Mutti & Martin Aberhan
The end-Permian mass extinction occurred alongside a large swathe of environmental changes that are often invoked as extinction mechanisms, even when a direct link is lacking. One way to elucidate the cause(s) of a mass extinction is to investigate extinction selectivity as it can reveal critical information on organismic traits as key determinants of extinction and survival. Here we show that machine learning algorithms, specifically gradient boosted decision trees, can be used to identify determinants...

ISIMIP3b lakes input data

Inne Vanderkelen & 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.

Nitrogen budget data

Tan Zou, Xin Zhang, Luis Lassaletta, Nathaniel Mueller, Francesco Tubiello, Matthew Lisk, Chaoqun Lu, Richard Conant, Christopher Dorich, James Gerber, Hanqin Tian, Tom Bruulsema, Tai Maaz, Kazuya Nishina, Benjamin Bodirsky, Alexander Popp, Lex Bouwman, Arthur Beusen, Jinfeng Chang, Petr Havlík, David Leclère, Josep Canadell, Robert Jackson, Patrick Heffer, Nathan Wanner … & Eric Davidson
Input-output estimates of nitrogen (N) on cropland are essential for improving N management and better understanding the global N cycle. Here, we compare 13 N budget datasets covering 115 countries and regions over 1961-2015. Though most datasets showed similar spatiotemporal patterns, some annual estimates varied widely among them, resulting in large ranges and uncertainty. In 2010, global medians (in Tg N yr-1) and associated min-max ranges were 73 (64-84) for global harvested crop N; 161...

ISIMIP3 soil input data

Jan Volkholz & Christoph Müller
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 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...

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...

ISIMIP3b ocean input data

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...

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 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...

Supplementary data, code, and information for ‘Influence of Anthropogenic Climate Change on Planetary Wave Resonance and Extreme Weather Events’ (Nature Scientific Reports, Mann et al. 2017)

M.E. Mann, S. Rahmstorf, K. Kornhuber, B.A. Steinman, S.K. Miller & D. Coumou
Persistent episodes of extreme weather in the Northern Hemisphere summer have been shown to be associated with the presence of high-amplitude quasi-stationary atmospheric Rossby waves within a particular wavelength range (zonal wavenumber 6–8). The underlying mechanistic relationship involves the phenomenon of quasi-resonant amplification (QRA) of synoptic-scale waves with that wavenumber range becoming trapped within an effective mid-latitude atmospheric waveguide. Recent work suggests an increase in recent decades in the occurrence of QRA-favorable conditions and associated...

ISIMIP3a reservoirs & dams input data

María del Rocío Rivas López, Jida Wang & Fangfang Yao
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...

ISIMIP3b reservoirs & dams input data

María del Rocío Rivas López
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...

Supplementary data, code, and information for ‘The likelihood of recent warmth’ (Nature Scientific Reports, Mann et al. 2016)

M.E. Mann, S. Rahmstorf, B.A. Steinman, M. Tingley & S.K. Miller
2014 was nominally the warmest year on record for both the globe and northern hemisphere based on historical records spanning the past one and a half centuries. It was the latest in a recent run of record temperatures spanning the past decade and a half. Press accounts reported odds as low as one-in-650 million that the observed run of global temperature records would be expected to occur in the absence of human-caused global warming. Press...

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...

ISIMIP3b fishing input data

Yannick Rousseau, Julia Blanchard & Derek Tittensor
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...

Registration Year

  • 2021
    29

Resource Types

  • Dataset
    29

Affiliations

  • Potsdam Institute for Climate Impact Research
    29
  • ETH Zurich
    12
  • Texas A&M University
    3
  • Auburn University
    3
  • Queensland University of Technology
    3
  • Geophysical Fluid Dynamics Laboratory
    3
  • Pennsylvania State University
    3
  • Vrije Universiteit Brussel
    2
  • German Meteorological Service
    2
  • Mississippi State University
    2