Towards quantifying uncertainty in ocean heat content changes using synthetic profiles.
Average rating votes
MetadataShow full item record
Observational estimates of global ocean heat content (OHC) change are used to assess Earth’s energy imbalance over the 20th Century.However, intercomparison studies show that the mappingmethods used to interpolate sparse ocean temperature profile data are a key source of uncertainty. We present a new approach to assessing OHC mapping methods using ‘synthetic profiles’ generated froma state-of-the-art global climate model simulation. Synthetic profiles have the same sampling characteristics as the historical ocean temperature profile data but are based on model simulation data.Mapping methods ingest these data in the same way as they would real observations, but the resultant mapped fields can be compared to a model simulation ‘truth’. We use this approach to assess two mapping methods that are used routinely for climate monitoring and initialisation of decadal forecasts. The introduction of the Argo network of autonomous profiling floats during the 2000s drives clear improv.....
JournalEnvironmental Research Letters
Sustainable Development Goals (SDG)14.A
Essential Ocean Variables (EOV)Ocean surface heat flux
Maturity LevelTRL 7 System prototyping demonstration in an operational environment (ground or space)
Best Practice TypeManual (incl. handbook, guide, cookbook etc)
CitationAllison,L.C., et al (2019) Towards quantifying uncertainty in ocean heat content changes using synthetic profiles. Environmental Research Letters, 14: 084037, 13pp. DOI: https://doi.org/10.1088/1748-9326/ab2b0b
The following license files are associated with this item: