This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640276.
Remedy 1: Intercomparison of existing surface emissivity models
Undertake an in-depth intercomparison of available microwave ocean surface emissivity model outputs, for a carefully defined set of inputs (ocean state, atmospheric state). An intercomparison of emissivity models, in itself, will not achieve a validation of emissivity models, but the differences identified and quantified can shed light on the sources of bias in any given emissivity model. Such an intercomparison exercise is, therefore, a useful step towards a full validation of emissivity models. In many cases, however, such an intercomparison yields valuable insights into the mechanisms, processes, and parameterisations that give rise to biases. This approach thus constitutes a useful first step in the validation of (in this case) ocean surface emissivity estimates. The measurable output of success therefore, for this activity, will be a documented quantitative comparison of FASTEM (various versions) with another, independent, emissivity model, for a realistic sample of global ocean surface conditions. The probability of a successful outcome is high if the exercise can be coordinated through the appropriate international working groups (e.g. International TOVS Working Group, International Precipitation Working Group, GSICS, X-Cal), and is supported by national and/or international agencies.
An intercomparison exercise is a useful step towards a full validation of emissivity models. In many cases, such an intercomparison yields valuable insights into the mechanisms, processes and parameterisations that give rise to biases.
Documented quantitative model inter-comparison: intercomparisons of non-traceable estimates, in this case outputs from independent ocean surface emissivity models, in themselves will not constitute a validation of any individual estimate. For example, independent estimates can be biased in the same sense. This motivates the need for the additional remedies associated with this gap.
- High
- Single institution
- Consortium
- Less than 5 years
- Low cost (< 1 million)
- No
- National funding agencies
- National Meteorological Services
- ESA, EUMETSAT or other space agency
- Academia, individual research institutes