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Table 1

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  
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