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‎_extras/about.md‎

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title: About
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---
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## ESMValTool
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The Earth System Model Evaluation Tool (ESMValTool) is a community-development that aims at improving diagnosing and understanding of the causes and effects of model biases and inter-model spread. The ESMValTool is 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 the activities within CMIP and at individual modelling centers. We envisage running the ESMValTool routinely on the CMIP model output utilizing observations available through the Earth System Grid Federation (ESGF) in standard formats (obs4MIPs) or made available at ESGF nodes.
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The goal is to develop a benchmarking and evaluation tool that produces well-established analyses as soon as model output from CMIP simulations becomes available, e.g., at one of the central repositories of the ESGF. This is realized through standard recipes that reproduce a certain set of diagnostics and performance metrics that have demonstrated its importance in benchmarking Earth System Models (ESMs) in a paper or assessment report, such as Chapter 9 of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) (Flato et al., 2013). The expectation is that in this way a routine and systematic evaluation of model results can be made more efficient, thereby enabling scientists to focus on developing more innovative methods of analysis rather than constantly having to “reinvent the wheel”.
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## ESMValTool developper community.
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## OBS4Mips
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In parallel to standardization of model output, the ESGF also hosts observations for Model Intercomparison Projects (obs4MIPs) and reanalyses data (ana4MIPs). obs4MIPs provides open access data sets of satellite data that are comparable in terms of variables, temporal and spatial frequency, and periods to CMIP model output (Taylor et al., 2012). The ESMValTool utilizes these observations and reanalyses from ana4MIPs plus additionally available observations in order to evaluate the models performance. In many diagnostics and metrics, more than one observational data set or meteorological reanalysis is used to assess uncertainties in observations.
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The main idea of the ESMValTool is to provide a broad suite of diagnostics which can be performed easily when new model simulations are run. The suite of diagnostics needs to be broad enough to reflect the diversity and complexity of Earth System Models, but must also be robust enough to be run routinely or semi-operationally. In order the address these challenging objectives the ESMValTool is conceived as a framework which allows community contributions to be bound into a coherent framework.
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## ESMValTool
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The Earth System Model Evaluation Tool (ESMValTool) is a community-development
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that aims at improving diagnosing and understanding of the causes and effects
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of model biases and inter-model spread. The ESMValTool is open to both users
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and developers encouraging open exchange of diagnostic source code and
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evaluation results from the Coupled Model Intercomparison Project (CMIP) ensemble.
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This will facilitate and improve ESM evaluation beyond the state-of-the-art and
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aims at supporting the activities within CMIP and at individual modelling centers.
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We envisage running the ESMValTool routinely on the CMIP model output utilizing
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observations available through the Earth System Grid Federation (ESGF) in standard
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formats (obs4MIPs) or made available at ESGF nodes.
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The goal is to develop a benchmarking and evaluation tool that produces
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well-established analyses as soon as model output from CMIP simulations becomes
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available, e.g., at one of the central repositories of the ESGF.
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This is realized through standard recipes that reproduce a certain set of
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diagnostics and performance metrics that have demonstrated its importance in
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benchmarking Earth System Models (ESMs) in a paper or assessment report,
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such as Chapter 9 of the Intergovernmental Panel on Climate Change (IPCC)
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Fifth Assessment Report (AR5) (Flato et al., 2013).
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The expectation is that in this way a routine and systematic evaluation of
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model results can be made more efficient, thereby enabling scientists to
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focus on developing more innovative methods of analysis rather than
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constantly having to “reinvent the wheel”.
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## ESMValTool community.
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The ESMValTool community includes scientists and programmers from around the world.
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ESMValTool has been used to analyse data
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## Obs4MIPs
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In parallel to standardization of model output, the ESGF also hosts observations
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for Model Intercomparison Projects (obs4MIPs) and reanalyses data (ana4MIPs).
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Obs4MIPs provides open access data sets of satellite data that are comparable
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in terms of variables, temporal and spatial frequency, and periods to CMIP model
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output (Taylor et al., 2012). The ESMValTool utilizes these observations and
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reanalyses from ana4MIPs plus additionally available observations in order to
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evaluate the models performance. In many diagnostics and metrics, more than
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one observational data set or meteorological reanalysis is used to assess
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uncertainties in observations.
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The main idea of the ESMValTool is to provide a broad suite of diagnostics which
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can be performed easily when new model simulations are run.
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The suite of diagnostics needs to be broad enough to reflect the diversity and
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complexity of Earth System Models, but must also be robust enough to be run
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routinely or semi-operationally. In order the address these challenging
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objectives the ESMValTool is conceived as a framework which allows community
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contributions to be bound into a coherent framework.
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## License
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The ESMValTool is released under the Apache License, version 2.0. Citation of the ESMValTool paper (“Software Documentation Paper”) is kindly requested upon use, alongside with the software DOI for ESMValTool (doi:10.5281/zenodo.3401363) and ESMValCore (doi:10.5281/zenodo.3387139) and version number:
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The ESMValTool is released under the Apache License, version 2.0. Citation of
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the ESMValTool paper (“Software Documentation Paper”) is kindly requested upon use,
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alongside with the software DOI for ESMValTool (doi:10.5281/zenodo.3401363)
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and ESMValCore (doi:10.5281/zenodo.3387139) and version number:
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## Citation
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Please cite ESMValTool using:
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Righi, M., Andela, B., Eyring, V., Lauer, A., Predoi, V., Schlund, M., Vegas-Regidor, J., Bock, L., Brötz, B., de Mora, L., Diblen, F., Dreyer, L., Drost, N., Earnshaw, P., Hassler, B., Koldunov, N., Little, B., Loosveldt Tomas, S., and Zimmermann, K.: Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview, Geosci. Model Dev., 13, 1179–1199, https://doi.org/10.5194/gmd-13-1179-2020, 2020.
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Besides the above citation, users are kindly asked to register any journal articles (or other scientific documents) that use the software at the ESMValTool webpage (http://www.esmvaltool.org/). Citing the Software Documentation Paper and registering your paper(s) will serve to document the scientific impact of the Software, which is of vital importance for securing future funding. You should consider this an obligation if you have taken advantage of the ESMValTool, which represents the end product of considerable effort by the development team.
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Righi, M., Andela, B., Eyring, V., Lauer, A., Predoi, V., Schlund, M.,
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Vegas-Regidor, J., Bock, L., Brötz, B., de Mora, L., Diblen, F., Dreyer, L.,
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Drost, N., Earnshaw, P., Hassler, B., Koldunov, N., Little, B., Loosveldt Tomas,
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S., and Zimmermann, K.:
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Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview,
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Geosci. Model Dev., 13, 1179–1199, https://doi.org/10.5194/gmd-13-1179-2020,
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2020.
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Besides the above citation, users are kindly asked to register any journal article
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(or other scientific documents) that use the software at the ESMValTool webpage
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(http://www.esmvaltool.org/). Citing the Software Documentation Paper and
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registering your paper(s) will serve to document the scientific impact of the Software,
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which is of vital importance for securing future funding.
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You should consider this an obligation if you have taken advantage of the
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ESMValTool, which represents the end product of considerable effort by the development team.
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## Acknowledgements
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The technical development work for ESValTool v2.0 was funded by various projects, in particular (1) the Copernicus Climate Change Service (C3S) “Metrics and Access to Global Indices for Climate Projections (C3S-MAGIC)” project; (2) the European Union's Horizon 2020 Framework Programme for Research and Innovation “Infrastructure for the European Network for Earth System Modelling (IS-ENES3)” project under grant agreement no. 824084; (3) the European Union's Horizon 2020 Framework Programme for Research and Innovation “Coordinated Research in Earth Systems and Climate: Experiments, kNowledge, Dissemination and Outreach (CRESCENDO)” project under grant agreement no. 641816; (4) the the European Union's Horizon 2020 Framework Programme for Research and Innovation “PRocess-based climate sIMulation: AdVances in high-resolution modelling and European climate Risk Assessment (PRIMAVERA)” project under grant agreement no. 641727; (5) the Helmholtz Society project “Advanced Earth System Model Evaluation for CMIP (EVal4CMIP)”; (6) project S1 (Diagnosis and Metrics in Climate Models) of the Collaborative Research Centre TRR 181 “Energy Transfer in Atmosphere and Ocean” funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) project no. 274762653; and (7) National Environmental Research Council (NERC) National Capability Science Multi-Centre (NCSMC) funding for the UK, Earth System Modelling project (grant no. NE/N018036/1).
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The technical development work for ESValTool v2.0 was funded by various projects,
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in particular (1) the Copernicus Climate Change Service (C3S) “Metrics and Access
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to Global Indices for Climate Projections (C3S-MAGIC)” project; (2) the
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European Union's Horizon 2020 Framework Programme for Research and Innovation
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“Infrastructure for the European Network for Earth System Modelling (IS-ENES3)”
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project under grant agreement no. 824084; (3) the European Union's Horizon 2020
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Framework Programme for Research and Innovation “Coordinated Research in Earth
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Systems and Climate: Experiments, kNowledge, Dissemination and Outreach (CRESCENDO)”
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project under grant agreement no. 641816; (4) the the European Union's Horizon
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2020 Framework Programme for Research and Innovation “PRocess-based climate
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sIMulation: AdVances in high-resolution modelling and European climate Risk
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Assessment (PRIMAVERA)” project under grant agreement no. 641727; (5) the
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Helmholtz Society project “Advanced Earth System Model Evaluation for CMIP
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(EVal4CMIP)”; (6) project S1 (Diagnosis and Metrics in Climate Models) of
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the Collaborative Research Centre TRR 181 “Energy Transfer in Atmosphere and
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Ocean” funded by the Deutsche Forschungsgemeinschaft (DFG, German Research
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Foundation) project no. 274762653; and (7) National Environmental Research
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Council (NERC) National Capability Science Multi-Centre (NCSMC) funding for
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the UK, Earth System Modelling project (grant no. NE/N018036/1).
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{% include escience_academy.html %}

‎_extras/guide.md‎

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title: "Instructor Notes"
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FIXME
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This page includes some tips, reminders and advice for giving this tutorial.
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## Preparing the meeting.
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Once you've agreed to a date, and attendees have signed up, send them a link to
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the pre-tutorial instructions page (setup.md).
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Plan for the tutorial to last two hours. If you do go longer, please include a comfort break.
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Coffee and biscuits always goes down well with participants.
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Remember to email attendees in advacnce to set up conda and work through the set up page.
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Remind people a few days before the meeting about the pre-meeting exercises.
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## Tips
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- Test all recipes, diagnostics and instructions in advance.
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- Make sure you don't have issues with accessing the compute node via VPN or wifi,
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- Check to copmputing service for any planned downtime or potential interuptnios.
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- Download a local copy of the data, just in case.
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- Decide on one or two advanced mini-tutorials as a stretch goal but don't expect to do all of them.
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{% include links.md %}

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