10.48364/ISIMIP.664235
Matthias Büchner
Matthias
Büchner
0000-0002-1382-7424
Potsdam Institute for Climate Impact Research
Christopher Reyer
Christopher
Reyer
0000-0003-1067-1492
Potsdam Institute for Climate Impact Research
ISIMIP3a atmospheric composition input data
ISIMIP Repository
2020
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC CHEMISTRY > CARBON AND HYDROCARBON COMPOUNDS > CARBON DIOXIDE
Matthias Büchner
Matthias
Büchner
0000-0002-1382-7424
Potsdam Institute for Climate Impact Research
Jochen Klar
Jochen
Klar
0000-0002-5883-4273
Potsdam Institute for Climate Impact Research
Iliusi Vega del Valle
Iliusi
Vega del Valle
0000-0001-6902-2257
Potsdam Institute for Climate Impact Research
Jan Volkholz
Jan
Volkholz
Potsdam Institute for Climate Impact Research
Jacob Schewe
Jacob
Schewe
0000-0001-9455-4159
Potsdam Institute for Climate Impact Research
Stefan Lange
Stefan
Lange
0000-0003-2102-8873
Potsdam Institute for Climate Impact Research
Franziska Piontek
Franziska
Piontek
0000-0003-4305-7552
Potsdam Institute for Climate Impact Research
Christopher Reyer
Christopher
Reyer
0000-0003-1067-1492
Potsdam Institute for Climate Impact Research
Matthias Mengel
Matthias
Mengel
0000-0001-6724-9685
Potsdam Institute for Climate Impact Research
María del Rocío Rivas López
María del Rocío
Rivas López
0000-0002-1984-3070
Potsdam Institute for Climate Impact Research
Christian Otto
Christian
Otto
0000-0001-5500-6774
Potsdam Institute for Climate Impact Research
Bjoern Soergel
Bjoern
Soergel
0000-0002-2630-7081
Potsdam Institute for Climate Impact Research
Anne Gädeke
Anne
Gädeke
0000-0003-0514-2908
Potsdam Institute for Climate Impact Research
Martin Park
Martin
Park
0000-0002-2467-3256
Potsdam Institute for Climate Impact Research
Katja Frieler
Katja
Frieler
0000-0003-4869-3013
Potsdam Institute for Climate Impact Research
Potsdam Institute for Climate Impact Research
03e8s1d88
2020
2020-07-01
eng
Input dataset
https://protocol.isimip.org
https://doi.org/10.1007/s10584-011-0156-z
https://www.esrl.noaa.gov/gmd/ccgg/trends/
https://doi.org/10.48364/ISIMIP.664235.1
https://data.isimip.org/datasets/d5bbfeb8-18a7-4241-931d-14f54b1a4ba5
https://data.isimip.org/datasets/c0703692-cbf8-48af-9593-0f33dd9aa780
https://data.isimip.org/datasets/1300cb0b-12e8-466e-a6e2-979a8febe638
1.0
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
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.<br>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.<br>This dataset contains globally averaged marine surface annual mean CO₂ time series in ppm for driving climate impact model simulations within ISIMIP3a. On the basis of the ISIMIP3a simulation protocol experiments three time series are provided. a) historical/obsclim (1850-2018), b) counterclim (1901-2018) and c) spinclim (1850-2018).
For the historical time series CO₂ concentrations were taken from two different sources. 1850-2005 values were extracted from Meinshausen et al. (2011) while the years 2006-2018 were filled with data from the ESRL Global Monitoring Laboratory website (Dlugokencky & Tans, 2019). The counterclim time series holds the historical 1901 value of 296.13ppm for the full period whereas splinclim has the time series fixed to the 1850 concentration of 284.73ppm.