Author Responses to Reviewer Comments for:

CMIP7 Data Request: Impacts and Adaptation Priorities and Opportunities

Ruane et al., Submitted July 15^th, 2025, to GMD

Replied: October 9th, 2025

Reviewer CC1 (Kris Ebi):

The authors are to be congratulated on a valuable and inclusive process for obtaining data request opportunities from the impacts and adaptation community.

Authors’ Response: Thanks, Kris, for your deeper examination of the manuscript. Your comments will help us better reflect the variable needs and opportunities for the health sector, as well as to more effectively drive readers to variables which may aid in health assessments even as they are more closely associated with other systems interconnected with health.  We have addressed your suggestions below.

Two suggestions for accuracy and clarity.

Section 4.1.8: human health. This section does not describe the full health risks of a changing climate. The "indirect" impacts of climate change on health are much more than air pollution and include a wide range of vector borne diseases, food and water safety and security, malnutrition, and the consequences of migration and displacement. It would be helpful to understand the level of engagement across the health sector. This means that Table 9 does not reflect the range of variables used in health projections.

Authors’ Response: We have deepened the discussion around health risks in Section 4.1.8 to better reflect the breadth of hazards and risks, including those through systems that are components of the broader health systems (e.g., food, water, ecosystems, urban areas), for example: “Climate change has both direct and indirect impacts on human health. Direct health impacts arise from a number of climatic impact-drivers, including pervasive mean conditions and extreme heat, cold, wind storm, flooding, and ice events, as well as changes to atmospheric composition which influence air pollution levels humans are exposed to (Im et al., 2022, 2023). Indirect health risks arise from climate’s influence on the many natural and human systems that are linked to broader health systems, including effects on vector-borne diseases, food and water safety and security, malnutrition, and the consequences of malnutrition and displacement.”

We also note that the interconnectedness of the health sector merits attention to cross-cutting variables requested in other opportunities (such as those needed for water quality or food insecurity) found in water sector or food data requests, should the reader be interested in pursuing those further. This is reflected in both the text and Table caption, for example: “Additional variables relevant to indirect health CIDs are available in other I&A opportunities related to food systems (ID 19), water systems (ID 67), ecosystems (IDs 11 and 16), urban populations (ID 40), and broader climate services (ID 20).”

Line 793 includes the recommendation for sharing best practices, tutorials, and guidelines. Do the authors have a recommendation for how that could be accomplished?

Authors’ Response: We prefer not to be too prescriptive in making specific suggestions in this realm, as we are hoping to motivate the reader to consider ways that best practices, tutorials, and guidelines could be developed and shared. As a specific way for CMIP to help move this forward (and a potential starting point for reviewers, we note the importance of continuing collaboration with relevant major programs in this area: “For example, we encourage continuing collaborations around CMIP7 data provision, access, further processing and applications between CMIP and the World Climate Research Programme’s Regional Information for Society (RIfS) Joint Task Team on Responsible Data Use, as well as with the World Adaptation Science Program (WASP).”

Author Responses to Reviewer Comments for:

CMIP7 Data Request: Impacts and Adaptation Priorities and Opportunities

Ruane et al., Submitted July 15^th, 2025, to GMD

Replied: October 9th, 2025

Reviewer RC2:

This is a well-written and well-organized paper. The authors have clearly invested significant effort in preparing a comprehensive and structured study. While some of the recommendations may be challenging for Earth System Model (ESM) groups to execute in full, the work provides an important reference point. It can serve as a target for groups aiming to save additional fields or guide future model development in cases where certain processes are not yet represented in the models. One particularly valuable addition would be the use of metrics (e.g., from CMIP6) to show which Impact & Adaptation (I&A) variables are most widely used. Since ESM groups are often constrained by resources and cannot always write out large, high-resolution datasets, such metrics would help prioritize outputs and make the recommendations more practical. Overall, the manuscript represents a valuable contribution to the community and requires only minor clarification and technical corrections before publication.

Authors’ Response: We thank the Reviewer who provided RC2 for their consideration of the submission and for review comments that point us toward a more clear and impactful manuscript.  We have answered each review comment element below.

Regarding metrics of CMIP6 variables, the download counts for CMIP6 variables were calculated by the Data Request Team, but we elected not to focus heavily on this metric in designing CMIP7 for several reasons. First, our aim was to solicit organic expressions of interest from I&A communities and need rather than skewing with pre-populated metrics that could drive users toward specific incumbent variables. Second, download counts reflect interest in ‘best available’ outputs, not necessarily ‘most appropriate’, ‘most desired’, or ‘most applicable’ variables; each of which are of greater utility for this I&A Data Request. Along the same lines, ESMs and impact and adaptation tools have changed since CMIP6 was released and this would affect interest in variables. Third, as noted in the introduction, we have an interest in identifying variable groups that are tailored to the needs of communities that may not have a high download count even as they are contributing important applications – these groups would be overlooked in a download count prioritization.

Minor comment and technical issues:

1. Line 155: please briefly discuss Mural Board for readers who are not familiar.

Authors’ Response: We have added an additional sentence describing the Mural Board web application and the way that respondents indicated variables and provided justifications for variable sets.

1. Figure 2 has a nice chart to show community engagement, somehow it is hard to parser, especially for the outer most ring the different some color of the user groups are not labeled.

Authors’ Response: We appreciate the reviewers’ feedback on Figure 2, which will improve the presentation in this paper as well as in other CMIP7 Data Request papers that also include a similar figure colored according to each Data Request group’s outreach. This allows for cohesive communication and comparability between data request papers.  As each manuscript is moving through the review process at a slightly different pace, we anticipate that another update to improve clarity will be available before final publication. For this version, we added additional clarifications to the caption to indicate that the colors indicated in the bottom-right legend are for the inner circle broader categorizations, with those same categories fanning out to the outer ring where outreach to sub-groups is specifically assessed.

1. Line 248: please define ISIMIP when it first appear (which was defined later in the table)

Authors’ Response: ISIMIP is first defined in Section 4.1.1 where we spell out the full acronym.

1. Section 4.1.6: please provide brief discussion on empirical statistical downscaling (ESD) and emulator, because later traditional ESD and hybrid emulator are mentioned but is not explained.

Authors’ Response: We have provided an enhanced explanation of empirical statistical downscaling (ESD) when it first appears in the text: “Empirical-statistical downscaling (ESD; Maraun et al., 2019) exploits the relationship between large-scale and local climate observations to train models that convert coarse ESM output into regional-to-local climate projections. Mathematical models can also be trained on complex ESM and RCM outputs to reproduce key features at lower computational cost, thus statistically emulating its behaviour (Baño-Medina et al., 2024).”

1. Line 633: it mentioned 93 variables here, but the number of variables was 539 unique variables (on line 49). Is it a typo?

Authors’ Response: We have clarified this line to note that these are 93 new variables (not previously included in CMIP): “These I&A opportunities and variable groups included 539 unique variables, including 93 new variables defined for CMIP7 in Appendix B).”

6 Line 591-592: missing subject in the sentence.

Authors’ Response: We have clarified this sentence to now include the Rapid Evaluation Framework (REF) as the subject: “REF was created to evaluate and benchmark the newly available CMIP7 AFT simulations as soon as they are uploaded to the Earth System Grid Federation (ESGF) with metrics and diagnostics that are available through different open-source evaluation and benchmarking tools (Hoffman et al. 2025).”

1. Line 858: "...clear documentation of outputs is needed..."

Authors’ Response: We have clarified the grammar in this sentence, which now matches the recommended phrasing.

1. Appendix A. Opportunity processing: consider to revise the title of Appendix A to be more descriptive.

Authors’ Response: We have revised the title of Appendix A to read: “Data Request Opportunity Evaluation and Processing”

Author Responses to Reviewer Comments for:

CMIP7 Data Request: Impacts and Adaptation Priorities and Opportunities

Ruane et al., Submitted July 15^th, 2025, to GMD

Replied: October 9th, 2025

Reviewer CC2 (Rémi Gandoin and Team):

Review Comment CC2, which includes well-supported recommendations for further development of wind energy variables, model documentation, variables relating to land use changes and surface roughness, variable documentation, and data distribution, here: https://doi.org/10.5194/egusphere-2025-3408-CC2

Authors’ Response: We thank the reviewer group CC2 (Drs. Gandolin, Wohland, Hahmann) for their detailed comments.  We start our response by noting, however, it is beyond the scope of this paper and the authors' remit as participants in the CMIP data request team to propose additional "Opportunities" or "Variable Groups" at this stage.  We will take this information into consideration as future versions of the Data Request are considered, as the CMIP process will continue to be responsive to feedback even as frameworks and decisions are being made to keep all participants on schedule. Also, although daily model level wind time series are not specifically requested by the Impacts & Adaptation group, these variables may become available elsewhere from within the wider I&A Data Request (e.g., 6-hourly 3D data are requested as part of the Dynamical Downscaling Opportunity ID 81) and broader CMIP Data Request. We would therefore encourage the reviewers to familiarise themselves with what has been requested more widely via the CMIP AirTable.

In terms of the specific proposal for daily/sub-daily wind-vectors on model levels, we note that this opportunity would likely be low priority given that the reviewers themselves suggest that the variables may have limited uptake (as few users will have the skills / know-how and capacity to process them).  Moreover, the data volumes involved in model-level vector wind-fields are non trivial.  These concerns would not necessarily prevent their inclusion in a data request but, in both aspects, there is a tension with the overall need to support a wide range of users and for the total data volume to be minimized.  We hope that this illustrates the trade-offs that need to be considered without necessarily prejudging which is the ‘best use’ of CMIP modelling group’s efforts.

Regarding the “remedial actions” proposed by the commenters:

1. Availability of specific CMIP output via specific platforms (such as EU Copernicus CDS) is beyond the scope of this paper and the CMIP7 Data Request Team activities.  We do, however, agree that as much data as possible should be made accessible as quickly as possible via the relevant CMIP distribution nodes, and have provided this input to the CMIP7 planning process on numerous occasions.

1. As noted above, it is beyond the scope of this paper to request additional variables or to make changes to the data request at this stage.  We agree, however, that it would have been good to have included key land-surface information as part of the energy systems request.  Nevertheless, many of these variables are potentially either model inputs (e.g., models lacking dynamic land surface models) or may be requested as outputs elsewhere in the CMIP data requests (e.g., the Agriculture and Food Systems Impacts Opportunity ID 19 requests information about agricultural land use, and relevant information may also be provided by ScenarioMIP and LUMIP).  Again, we encourage the reviewers to familiarise themselves with the CMIP AirTable for a full view of the data request if there are specific variables they wish to explore.

1. We agree with the reviewers that documentation of model design and diagnostic calculations are important issues.  Typically, this information is recorded in individual model documentation papers, though we appreciate this may not necessarily be complete or as accessible as one might wish. We anticipate that such documentation may also appear in studies of model diagnostics as part of the DECK simulations analysis. We note, however, that this issue goes well beyond the scope of this paper to address.

Regarding the final ‘additional request’ for CMIP variable descriptions as a CSV/YAML files: we agree this could be useful though, again, this goes beyond the scope of this particular piece of work.  We note, however, that the AirTable is already a user-friendly way to explore the data request in tabular format.  We also understand additional ways to view the latest version are underway, and encourage continuing engagement with the CMIP7 International Program Office about such ideas.