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Evaldsson, Martin
Publications (3 of 3) Show all publications
Lauer, A., Jones, C., Eyring, V., Evaldsson, M., Stefan, H. A., Makela, J., . . . Wang, S. (2018). Process-level improvements in CMIP5 models and their impact on tropical variability, the Southern Ocean, and monsoons. Earth System Dynamics, 9(1), 33-67
Open this publication in new window or tab >>Process-level improvements in CMIP5 models and their impact on tropical variability, the Southern Ocean, and monsoons
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2018 (English)In: Earth System Dynamics, ISSN 2190-4979, E-ISSN 2190-4987, Vol. 9, no 1, p. 33-67Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-4484 (URN)10.5194/esd-9-33-2018 (DOI)000422815600001 ()
Available from: 2018-01-29 Created: 2018-01-29 Last updated: 2018-01-29Bibliographically approved
Lauer, A., Eyring, V., Righi, M., Buchwitz, M., Defourny, P., Evaldsson, M., . . . Willén, U. (2017). Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool. Remote Sensing of Environment, 203, 9-39
Open this publication in new window or tab >>Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool
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2017 (English)In: Remote Sensing of Environment, ISSN 0034-4257, E-ISSN 1879-0704, Vol. 203, p. 9-39Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-4459 (URN)10.1016/j.rse.2017.01.007 (DOI)000418464200003 ()
Available from: 2018-01-09 Created: 2018-01-09 Last updated: 2018-01-09Bibliographically approved
Eyring, V., Righi, M., Lauer, A., Evaldsson, M., Wenzel, S., Jones, C., . . . Williams, K. D. (2016). ESMValTool (v1.0) - a community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP. Geoscientific Model Development, 9(5), 1747-1802
Open this publication in new window or tab >>ESMValTool (v1.0) - a community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP
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2016 (English)In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 9, no 5, p. 1747-1802Article in journal (Refereed) Published
Abstract [en]

A community diagnostics and performance metrics tool for the evaluation of Earth system models (ESMs) has been developed that allows for routine comparison of single or multiple models, either against predecessor versions or against observations. The priority of the effort so far has been to target specific scientific themes focusing on selected essential climate variables (ECVs), a range of known systematic biases common to ESMs, such as coupled tropical climate variability, monsoons, Southern Ocean processes, continental dry biases, and soil hydrology-climate interactions, as well as atmospheric CO2 budgets, tropospheric and stratospheric ozone, and tropospheric aerosols. The tool is being developed in such a way that additional analyses can easily be added. A set of standard namelists for each scientific topic reproduces specific sets of diagnostics or performance metrics that have demonstrated their importance in ESM evaluation in the peer-reviewed literature. The Earth System Model Evaluation Tool (ESMValTool) is a community effort open to both users and developers encouraging open exchange of diagnostic source code and evaluation results from the Coupled Model Intercomparison Project (CMIP) ensemble. This will facilitate and improve ESM evaluation beyond the state-of-the-art and aims at supporting such activities within CMIP and at individual modelling centres. Ultimately, we envisage running the ESMValTool alongside the Earth System Grid Federation (ESGF) as part of a more routine evaluation of CMIP model simulations while utilizing observations available in standard formats (obs4MIPs) or provided by the user.

National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-2198 (URN)10.5194/gmd-9-1747-2016 (DOI)000376937800006 ()
Available from: 2016-07-08 Created: 2016-07-08 Last updated: 2017-11-28Bibliographically approved
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