Detection and Attribution Model Intercomparison Project

Detection and Attribution Model Intercomparison Project
Name	Detection and Attribution Model Intercomparison Project
Formation	21st century
Leader title	Coordinators

Detection and Attribution Model Intercomparison Project The Detection and Attribution Model Intercomparison Project is an organized effort to compare climate model simulations for the purpose of identifying human and natural influences on observed climate variations. It connects multinational initiatives, specialized research centers, and international assessments to support evidence used in reports by Intergovernmental Panel on Climate Change, World Meteorological Organization, National Aeronautics and Space Administration, European Centre for Medium-Range Weather Forecasts, and major academic institutions. The project synthesizes outputs from multiple model ensembles to inform policymaking in forums such as the United Nations Framework Convention on Climate Change and scientific assessments like the IPCC Sixth Assessment Report.

Overview

The project coordinates model experiments that test hypotheses about causal drivers of climate signals, linking work from groups including Met Office Hadley Centre, NOAA Geophysical Fluid Dynamics Laboratory, Max Planck Institute for Meteorology, Canadian Centre for Climate Modelling and Analysis, and CSIRO. It frames questions relevant to assessments by the Intergovernmental Panel on Climate Change, supports detection studies cited by the United Nations Environment Programme, and provides standardized protocols analogous to those used in the Coupled Model Intercomparison Project and Paleoclimate Modelling Intercomparison Project. The outputs feed into synthesis products prepared by organizations such as the World Climate Research Programme and academic publishers like Nature Climate Change and Geophysical Research Letters.

History and development

The initiative emerged in the context of expanding multi-model collaborations exemplified by Coupled Model Intercomparison Project Phase 5 and Phase 6, with methodological roots in earlier fingerprinting studies by researchers at Hadley Centre and GFDL. Key milestones include alignment with assessment cycles of the Intergovernmental Panel on Climate Change and coordination with programs at the International Council for Science and the Global Carbon Project. Prominent contributors have included scholars affiliated with Princeton University, Columbia University, ETH Zurich, University of Oxford, and Massachusetts Institute of Technology, and the project has been discussed at conferences such as the American Geophysical Union Fall Meeting and meetings of the European Geosciences Union.

Methodology and protocols

Experimental design follows standardized perturbation experiments where model ensembles simulate responses to forcings attributed to agents like anthropogenic greenhouse gases, aerosols, solar variability, and volcanic eruptions. Protocols align with practices developed in CMIP6 experiments and draw on statistical techniques popularized by researchers at NCAR and Scripps Institution of Oceanography. Data archiving and metadata standards reflect practices used by the Earth System Grid Federation and repositories maintained by ESGF. Attribution analyses employ detection methodologies connecting observed fields from datasets such as HadCRUT, NOAA GlobalTemp, and Berkeley Earth with model-derived fingerprints using statistical frameworks influenced by work at University of Reading and Imperial College London.

Participating models and experiments

Participating centers contribute coupled atmosphere–ocean general circulation models, Earth system models, and targeted single-forcing experiments from institutions including NOAA, Met Office, MPI-M, CSIRO, Canadian Centre for Climate Modelling and Analysis, Institute Pierre-Simon Laplace, National Centre for Atmospheric Research, Research Institute for Global Change (JAMSTEC), and university groups at University of California, Berkeley and Columbia University. Experiments typically mirror design elements from CMIP5 and CMIP6 and include time-slice, historical, and idealized forcings used in detection work published in venues such as Journal of Climate and Nature Geoscience.

Key findings and contributions

Results have strengthened attribution of trends and extremes to forcings, supporting conclusions presented in Intergovernmental Panel on Climate Change reports that link anthropogenic emissions from Industrial Revolution-era activities to observed warming, and reinforcing attribution of regional changes referenced in United Nations Framework Convention on Climate Change deliberations. The project has clarified roles of aerosols (studied by teams at Harvard University), greenhouse gases (quantified with methods developed at MIT), and natural variability modes like El Niño–Southern Oscillation and Atlantic Multidecadal Oscillation in shaping observed patterns. Outputs have been incorporated into assessment chapters drafted by authors affiliated with Stockholm Environment Institute and Yale University and have informed impact assessments cited by agencies such as European Commission and U.S. Global Change Research Program.

Criticisms and limitations

Critiques relate to model structural uncertainty noted in intercomparison literature from CMIP6 and concerns about faithful representation of processes studied at Lamont–Doherty Earth Observatory and Woods Hole Oceanographic Institution. Additional limitations stem from observational coverage biases in datasets like HadCRUT and methodological debates addressed at forums including the Royal Society and the National Academy of Sciences. Resource and coordination constraints have been highlighted by contributors at World Climate Research Programme and funding agencies such as the National Science Foundation, affecting experiment completeness and ensemble sizes.

Category:Climate change