10.1594/WDCC/GFDL_SRES_A2_SN
Stouffer, Ronald
Ronald
Stouffer
GFDL_SRES_A2_SN
World Data Center for Climate (WDCC)
2004
Digital
Climate
Stouffer, Ronald
Ronald
Stouffer
2002-08-02
2004
en
10.1594/wdcc/gfdl_sres_a2
1 dataset
GRIB
Project: IPCC Data Distribution Centre : Third Assessment Report data sets
The Intergovernmental Panel on Climate Change (IPCC) has been established by WMO und UNEP to assess scientific, technical and socio-economic information, relevant for the understanding of climate change, its potential impacts and option for adaption and migration. Projection of future trends for a number of key variables are provided through this
section of the DDC (http://www.mad.zmaw.de/IPCC_DDC/html/ddc_gcmdata.html). This information contained in either IS92 emission scenarios (IPCC 1992), the Special Report on Emission Scenarios (IPCC 2000, SRES) or published model studies using data from these scenarios.
Six alternative IPCC scenarios (IS92a to f) were published in the 1992 Supplementary Report to the IPCC Assessment. These scenarios embodied a wide array of assumption affecting how future greenhouse gas emissions might evolve in the absence of climate policies beyond those already adoped. The SRES scenarios have been constructed to explore future developments in the global enviromental with special reference to the production of greenhouse gases and aerosol precursor emission.
A set of four scenario families (A1, A2, B1, B2) have been developed that each of this storylines describes one possible demographic, polito-economic, societal and technological future. Model experiments, also using different forcing scenarios, were calculated at other modeling centres. Emissions Scenarios. 2000 ,Special Report of the Intergovernmental Panel on Climate Change Nebojsa Nakicenovic and Rob Swart (Eds.) Cambridge University Press, UK. pp 570
Summary: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2).
SRES_A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The atmospheric component solves the primitive equations using
a spectral transform method, GFDL_R30 means a rhomboidal 30 truncation and the ocean component solves the primitive equation of motion using the Boussinesq, rigid-lid and hydrostatic approximation and based on GFDL Modular Ocean Model version 1. GFDL_R30 (http://www.gfdl.noaa.gov/~kd/ClimateDynamics/NOMADS/index.html ). The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.