Interactions between atmospheric composition and climate change – Progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP
| dc.contributor.author | Fiedler, Stephanie | |
| dc.contributor.author | Naik, Vaishali | |
| dc.contributor.author | O'Connor, Fiona M. | |
| dc.contributor.author | Smith, Christopher J. | |
| dc.contributor.author | Kramer, Ryan | |
| dc.contributor.author | et al | |
| dc.date.accessioned | 2023-04-18T18:28:22Z | |
| dc.date.available | 2023-04-18T18:28:22Z | |
| dc.date.issued | 2023-04-04 | |
| dc.description | Authors: - Stephanie Fiedler, Vaishali Naik, Fiona M. O'Connor, Christopher J. Smith, Robert Pincus, Paul Griffiths, Ryan Kramer, Toshihiko Takemura, Robert J. Allen, Ulas Im, Matthew Kasoar, Angshuman Modak, Steven Turnock, Apostolos Voulgarakis, Duncan Watson-Parris, Daniel M. Westervelt, Laura J. Wilcox, Alcide Zhao, William J. Collins, Michael Schulz, Gunnar Myhre, and Piers M. Forster | en_US |
| dc.description.abstract | The climate science community aims to improve our understanding of climate change due to anthropogenic influences on atmospheric composition and the Earth’s surface. Yet not all climate interactions are fully understood and diversity in climate model experiments persists as assessed in the latest Intergovernmental Panel on Climate Change (IPCC) assessment report. This article synthesizes current challenges and emphasizes opportunities for advancing our understanding of climate change and model diversity. The perspective of this article is based on expert views from three multi-model intercomparison projects (MIPs) - the Precipitation Driver Response MIP (PDRMIP), the Aerosol and Chemistry MIP (AerChemMIP), and the Radiative Forcing MIP (RFMIP). While there are many shared interests and specialisms across the MIPs, they have their own scientific foci and specific approaches. The partial overlap between the MIPs proved useful for advancing the understanding of the perturbation-response paradigm through multi-model ensembles of Earth System Models of varying complexity. It specifically facilitated contributions to the research field through sharing knowledge on best practices for the design of model diagnostics and experimental strategies across MIP boundaries, e.g., for estimating effective radiative forcing. We discuss the challenges of gaining insights from highly complex models that have specific biases and provide guidance from our lessons learned. Promising ideas to overcome some long-standing challenges in the near future are kilometer-scale experiments to better simulate circulation-dependent processes where it is possible, and machine learning approaches for faster and better sub grid scale parameterizations where they are needed. Both would improve our ability to adopt a smart experimental design with an optimal tradeoff between resolution, complexity and simulation length. Future experiments can be evaluated and improved with sophisticated methods that leverage multiple observational datasets, and thereby, help to advance the understanding of climate change and its impacts. | en_US |
| dc.description.sponsorship | We thank the TriMIP community for the discussions at the TriMIP-athlon-3 workshop held online everywhere in December 2021. S.F. was supported by the German Science Foundation (DFG) with projects in the Collaborative Research Centers SFB1502 (grant no. DFG 450058266) and SFB1211 (grant no. DFG 268236062), and DOMOS, a programme funded by the European Space Agency. F.M.O’C. was supported by the Met Office Hadley Centre Climate Programme funded by BEIS (GA01101) and the EU Horizon 2020 Research Programme CRESCENDO (grant no. 641816) and ESM2025 (grant agreement number 101003536) projects. C.J.S. was supported by a NERC/IIASA Collaborative Research Fellowship (NE/T009381/1). T.T. was supported by the Environment Research and Technology Development Fund (grant no. JPMEERF21S12010) of the Environmental Restoration and Conservation Agency, Japan, and the Japan Society for the Promotion of Science (JSPS) KAKENHI (grant no. JP19H05669). M.K. and A.V. are supported by the Leverhulme Centre for Wildfires, Environment and Society through the Leverhulme Trust (grant number RC-2018-023). A.V. is also funded by the AXA Chair programme of the AXA Research Fund. A.M. was supported through the funding from the European Research Council Grant agreement 770765. R.J.K. was supported by NOAA Award NA18OAR4310269 and NASA grant no. 8NSSC21K1968. G.M. was supported by the Horizon 2020 project CONSTRAIN (grant no. 820829). D.W.P. acknowledges funding from NERC project NE/S005390/1 (ACRUISE). S.T. would like to acknowledge that support for this work came from the UK-China Research and Innovation Partnership Fund through the Met Office Climate Science for Service Partnership (CSSP) China as part of the Newton Fund. L.J.W. is supported by the National Centre for Atmospheric Science, the Natural Environment Research Council (NERC; grant NE/W004895/1, TerraFIRMA), and the Research Council of Norway (grant no. 324182, CATHY). | en_US |
| dc.description.uri | https://gmd.copernicus.org/preprints/gmd-2023-29/ | en_US |
| dc.format.extent | 34 pages | en_US |
| dc.genre | journal articles | en_US |
| dc.genre | preprints | en_US |
| dc.identifier | doi:10.13016/m2h1ar-yvc4 | |
| dc.identifier.citation | Fiedler, S., et al. "Interactions between atmospheric composition and climate change – Progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP" Geosci. Model Dev. Discuss. [preprint]: (04 April, 2023). https://doi.org/10.5194/gmd-2023-29, in review, 2023. | en_US |
| dc.identifier.uri | https://doi.org/10.5194/gmd-2023-29 | |
| dc.identifier.uri | http://hdl.handle.net/11603/27634 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | EGU | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC GESTAR II Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | "This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. " | en_US |
| dc.rights | Public Domain Mark 1.0 | * |
| dc.rights.uri | http://creativecommons.org/publicdomain/mark/1.0/ | * |
| dc.title | Interactions between atmospheric composition and climate change – Progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP | en_US |
| dc.type | Text | en_US |
| dcterms.creator | https://orcid.org/0000-0002-9377-0674 | en_US |