Climate projection checklist for service providers.
Contextual information | Check |
State the purpose(s) of the chosen climate projections at the start of the report | |
Justify the choice(s) of emissions pathways and climate model sensitivity | |
Justify the choice(s) of GCM(s) or climate model ensemble | |
State and justify the choice of the baseline period | |
Explain the choice of short-listed variables | |
Historic data quality assurance and analysis | |
State any recognized strengths and weaknesses of the data sources | |
Provide complete details for historic data (e.g., site locations and years of record) | |
Document any known changes in site, instrument, or observer practices | |
Perform quality assurance, homogeneity, and stationarity checks on all data | |
Sanity check extreme values against independent sources (e.g., media reports) | |
State and justify any extreme value distributions (including for GCM output) | |
Provide confidence intervals for all extreme value estimates | |
Regional climate downscaling and derived indices | |
State any recognized strengths and weaknesses of the chosen GCMs/RCMs | |
Avoid mixing different scale GCM and RCM projections in the same ensemble | |
Justify the choice of downscaling methods in terms of fitness for purpose(s) | |
Provide full details and supporting references for all downscaling methods | |
Provide full equations and supporting references for all derived variables | |
Use GCM outputs in ways that are internally consistent (avoid pick-and-mix) | |
Acknowledge when GCM/RCM ocean grid cells are used for terrestrial sites | |
Itemize all components of regional sea level rise, justify omitted components | |
Acknowledge uncertainty in derived indices (e.g., modelled evapotranspiration) | |
State the percentile of extreme value estimates | |
Compare historic data and GCM/RCM output using periods of overlap | |
Presentation | |
Proof-read documents for typographic errors and cite all literature sources | |
State climate model details and emissions scenarios in figure and table legends | |
Apply most appropriate quantiles (not just the mean) for the intended use | |
Use ‘could’ rather than ‘will’ when referring to uncertain climate model projections | |
Avoid undue precision when reporting climate change projections |
Contextual information | Check |
State the purpose(s) of the chosen climate projections at the start of the report | |
Justify the choice(s) of emissions pathways and climate model sensitivity | |
Justify the choice(s) of GCM(s) or climate model ensemble | |
State and justify the choice of the baseline period | |
Explain the choice of short-listed variables | |
Historic data quality assurance and analysis | |
State any recognized strengths and weaknesses of the data sources | |
Provide complete details for historic data (e.g., site locations and years of record) | |
Document any known changes in site, instrument, or observer practices | |
Perform quality assurance, homogeneity, and stationarity checks on all data | |
Sanity check extreme values against independent sources (e.g., media reports) | |
State and justify any extreme value distributions (including for GCM output) | |
Provide confidence intervals for all extreme value estimates | |
Regional climate downscaling and derived indices | |
State any recognized strengths and weaknesses of the chosen GCMs/RCMs | |
Avoid mixing different scale GCM and RCM projections in the same ensemble | |
Justify the choice of downscaling methods in terms of fitness for purpose(s) | |
Provide full details and supporting references for all downscaling methods | |
Provide full equations and supporting references for all derived variables | |
Use GCM outputs in ways that are internally consistent (avoid pick-and-mix) | |
Acknowledge when GCM/RCM ocean grid cells are used for terrestrial sites | |
Itemize all components of regional sea level rise, justify omitted components | |
Acknowledge uncertainty in derived indices (e.g., modelled evapotranspiration) | |
State the percentile of extreme value estimates | |
Compare historic data and GCM/RCM output using periods of overlap | |
Presentation | |
Proof-read documents for typographic errors and cite all literature sources | |
State climate model details and emissions scenarios in figure and table legends | |
Apply most appropriate quantiles (not just the mean) for the intended use | |
Use ‘could’ rather than ‘will’ when referring to uncertain climate model projections | |
Avoid undue precision when reporting climate change projections |