Dear open-modders (especially those using/planning to use data from climate models),
Please consider participating in the survey below from the World Climate Research Programme. There is an important opportunity here for energy modellers needing climate data to influence the data-output from future rounds of international climate modelling experiments.
As I understand it, the intended result of this survey is to try to define a recommended ‘core list’ of variables that are output from future climate modelling intercomparison projects such as CMIP (as is widely used in the IPCC reports). As climate model output becomes increasingly important for energy-modelling, I think it would be great to see our community engage with this process to try to ensure that the needs of energy modelling (and energy-modellers) are not overlooked!
For those of you unfamiliar with climate model intercomparison projects, they are *major* international efforts. They typically involve dozens of institutes and 100’s of modellers across the world, usually taking very significant amounts of time and resource to prepare and deliver (often they are amongst the largest HPC projects in the world). They are perhaps the best way we currently have to study, understand and anticipate the impacts of future climate change.
My own view of this as someone who is somewhat involved in this survey process is that parts of it may seem quite technical and ‘climate science’ focussed to this community. However, if you are using climate model data such as e.g., reanalyses, GCM output in your work then I would strongly encourage you to engage if and where you can (if you’re feeling brave you can review the list of variables being discussed directly!). With this in mind, an area I think is particularly interesting is the potential to make the case for climate model output of hourly (rather than 6-hourly, daily or monthly) datasets of turbine-height wind, solar etc to study the impacts of future climate uncertainty in capacity expansion planning modelling… I’d be interested to know if others agree!
We invite you to take part in this consultation on priority variables for inclusion within a core set of variables forming the baseline for exchange of climate model data, in any intercomparison project, in accordance with FAIR data and Open Science principles. This consultation is relevant to those involved in developing and operating climate models, data infrastructure and those utilising climate model outputs. We anticipate this is of relevance to those providing access to and/or utilising the outputs of climate models within commercial, public and third sectors as well as within academia.
The online form is available at: https://bit.ly/WCRP-CV-Phase2OnlineForm . Consultation closes 18:00 UTC Friday 23 September. Please do circulate within your relevant networks.
The work developing the core variables is being coordinated and led by Martin Juckes, UKRI-STFC. Its implementation is being supported by the CMIP International Project Office
HE Space for ESA - European Space Agency
WCRP CMIP International Project Office
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Hello David, all
I would encourage all those using data regarding future climates to respond. To review the scope of the survey before proceeding, a list of the questions (as a google doc) can be found here:
Just one comment from my perspective.
This exercise supports the principles of both FAIR data
and open science.
That is, of course, excellent. But in the United Kingdom and
the European Union at least, we need recognized public
licenses that explicitly exclude database protection as
provided under EU
directive 96/9/EC. That transposed directive also remains
part of UK law post‑Brexit until explicitly repealed.
My remark is not just hypothetical. The IIASA scenarios databases for integrated assessment modeling (IAMs) explicitly claim such protection, despite a 2021 CJEU ruling (ECLI:EU:C:2021:434) that such assertions will almost certainly fail in law.
Hence the World Climate Research Programme needs to tackle the legal context of these future climate datasets too. I would suggest Creative Commons CC0‑1.0 public domain dedications would be a reasonable choice.
with best wishes, Robbie
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-- Robbie Morrison Address: Schillerstrasse 85, 10627 Berlin, Germany Phone: +49.30.612-87617