CMIP7 Data Request: Impacts and Adaptation Priorities and Opportunities

Abstract. The Coupled Model Intercomparison Project Phase 7 (CMIP7) undertook an extensive process to gather community input and refine data requests related to impacts and adaptation applications of Earth System Model (ESM) outputs. The Impacts and Adaptation (I&A) Data Request Team worked with CMIP7 leadership to distribute an open solicitation across many communities that use climate model outputs requesting inputs for new and existing variables, the most applicable temporal characteristics, and groupings of variables that together allow for specific application opportunities. This input was then collated and translated into CMIP7 standard templates for inclusion in the broader data request, leading to 13 I&A data request opportunities, 60 variable groups and 539 unique variables sought by vulnerability, impacts, adaptation, and climate services user communities. Here, we describe these opportunities and variable groups, as well as new insights into how ESM groups can prioritize outputs that set off a chain of further analyses, ultimately informing decisions impacting society and natural systems. These include an emphasis on high-resolution outputs to allow further modeling of climate impacts at regional and local scales, improved representation of extreme weather events, enhanced accuracy of downscaling and bias-adjustment techniques, and support for more detailed assessments for decision-making in adaptation and mitigation strategies. There is also broad interest in more extensive provisioning of two-dimensional variables at the Earth’s surface, prioritizing experiments that enhance our understanding of both the recent past and future scenarios, and providing outputs that allow further downscaling and bias adjustment. We emphasize that variable groups are the fundamental level at which to engage with the I&A data request, matching the scale of input and the way output provision enables specific I&A applications. Given resource constraints, we applaud CMIP7 efforts to foster strong engagement and communication between ESM groups and the I&A team to build consensus around prudent compromises in priority variables, temporal resolutions, simulation experiments, time subsets, and ensemble members.

Authors

Institutions

Publication Details

Published
2025-07-18
DOI
https://doi.org/10.5194/egusphere-2025-3408
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CMIP7 Data Request: Impacts and Adaptation Priorities and Opportunities

Indrani Roy, Xiaomao Lin, Timothy Lam, Wan‐Ling Tseng et al.
1 citations
Climate variability and models
1.11
article

CMIP7 Data Request: Impacts and Adaptation Priorities and Opportunities

Indrani Roy, Xiaomao Lin, Timothy Lam, Wan‐Ling Tseng, Sylvie Parey, Paula González, Carlo Buontempo, Briony Turner, Vanessa Hernaman, Lei Zhao, Charlotte Pascoe, Damaris Zurell, Andrew J. Wiebe, Martin Juckes, Ulaş İm, Alex C. Ruane, Jiafu Mao, Negin Nazarian, Jesús Fernández, David Brayshaw, Iréne Lake, Ibrahima Diouf, Birgit Haßler, Doroteaciro Iovino, Claas Teichmann
article en
1 citations

Abstract

Abstract. The Coupled Model Intercomparison Project Phase 7 (CMIP7) undertook an extensive process to gather community input and refine data requests related to impacts and adaptation applications of Earth System Model (ESM) outputs. The Impacts and Adaptation (I&A) Data Request Team worked with CMIP7 leadership to distribute an open solicitation across many communities that use climate model outputs requesting inputs for new and existing variables, the most applicable temporal characteristics, and groupings of variables that together allow for specific application opportunities. This input was then collated and translated into CMIP7 standard templates for inclusion in the broader data request, leading to 13 I&A data request opportunities, 60 variable groups and 539 unique variables sought by vulnerability, impacts, adaptation, and climate services user communities. Here, we describe these opportunities and variable groups, as well as new insights into how ESM groups can prioritize outputs that set off a chain of further analyses, ultimately informing decisions impacting society and natural systems. These include an emphasis on high-resolution outputs to allow further modeling of climate impacts at regional and local scales, improved representation of extreme weather events, enhanced accuracy of downscaling and bias-adjustment techniques, and support for more detailed assessments for decision-making in adaptation and mitigation strategies. There is also broad interest in more extensive provisioning of two-dimensional variables at the Earth’s surface, prioritizing experiments that enhance our understanding of both the recent past and future scenarios, and providing outputs that allow further downscaling and bias adjustment. We emphasize that variable groups are the fundamental level at which to engage with the I&A data request, matching the scale of input and the way output provision enables specific I&A applications. Given resource constraints, we applaud CMIP7 efforts to foster strong engagement and communication between ESM groups and the I&A team to build consensus around prudent compromises in priority variables, temporal resolutions, simulation experiments, time subsets, and ensemble members.

Roskilde University (DK), Goddard Institute for Space Studies (US), CSIRO Oceans and Atmosphere (AU), Oak Ridge National Laboratory (US), Met Office (GB), Swedish Meteorological and Hydrological Institute (SE), Universidad de Cantabria (ES), Australian Research Council (AU), National Taiwan Ocean University (TW), European Centre for Medium-Range Weather Forecasts (GB), University of Illinois Urbana-Champaign (US), Science and Technology Facilities Council (GB), University of Potsdam (DE), Kansas State University (US), Aarhus University (DK), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), UNSW Sydney (AU), European Centre for Space Applications and Telecommunications (GB), Health Sciences and Nutrition (AU), Institute for New Economic Thinking (US), CMCC Foundation - Euro-Mediterranean Center on Climate Change (IT), National Centre for Atmospheric Science (GB), Helmholtz-Zentrum Hereon (DE), Électricité de France (France) (FR), Instituto de Física de Cantabria (ES), University College London (GB), Potsdam Institute for Climate Impact Research (DE), University of Reading (GB), Cheikh Anta Diop University (SN)
National Aeronautics and Space Administration, Kansas NSF EPSCoR, Deutsche Forschungsgemeinschaft, Office of Science, Earth Sciences Division, Natural Environment Research Council, Horizon 2020, Division of Chemical, Bioengineering, Environmental, and Transport Systems
Climate action
Openalex Percentile: Top 21%
Climate variability and models
1.11
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.