Uncertainty in Emissions Projections for Climate Models. J. Reilly, M. Mayer, M. Webster, C. Wang, M. Babiker, R. Hyman, M. Sarofim MIT Joint Program on the Science and Policy of Global Change American Geophysical Union San Francisco , 14-19 December 2000.
J. Reilly, M. Mayer, M. Webster, C. Wang, M. Babiker, R. Hyman, M. Sarofim
MIT Joint Program on the Science and Policy of Global Change
American Geophysical Union
San Francisco, 14-19 December 2000
Many climatically important substances (CIS’s) released from many different human activities.
IPCC Special Report on Emissions Scenarios (SRES) was a high profile attempt to develop scenarios but had some important limitations:
Inconsistency—different models for different gases.
No quantification of uncertainty.
May not have covered the full range of possibilities.
Confusion of policy cases with no policy cases.Motivation
GHGs: CO2, CH4, N2O, SF6, PFC, HFC
Other air pollutants: NOX, SOX, CO, NMVOC, NH3 and carbonaceous particulates
Activities: Energy combustion and production, agriculture and land use, industrial processes, waste disposal (sewage & landfills)EPPA: An Economic/Emissions Model
Labor Productivity Growth (1)
Energy Efficiency Improvement Rate (1)
GHG and Other Pollutant Emissions Factors (6)
Deterministic Equivalent Modeling Method (DEMM)
~1300 model runs to fit 4th order polynomial
10,000 Monte Carlo simulations of polynomial fit to construct distributions.
Construct scenarios with known probability characteristics.
Simulate these scenarios through the MIT IGSM.Uncertainty Analysis Approach
SRES CO CIS’s. 2 scenarios cover much of the 95% confidence range but..
Biased somewhat toward the low end of emissions: 4 of 6 scenarios are well below 50% level in 2100
No scenario is particularly close to mean/median
SRES scenarios for other GHGs are narrow.
Fail to consider uncertainty in current emissions when we know current emissions levels very poorly.
High bias for some, Low bias for others—evidence of inconsistency
SOx in particular are all very low—all SRES scenarios optimistic about control.
SRES scenarios are biased somewhat toward high temperatures
MIT emissions scenarios will be available at http://web.mit.edu/globalchangeConclusions