Remedy 1: Improved high-resolution modelling to quantify mismatch effects

Primary gap remedy type: 
Secondary gap remedy type: 
Proposed remedy description: 

A first remedy to gain better insight in the small-scale spatiotemporal variability of atmospheric ECVs is by high-resolution modelling studies at the global scale, resulting in comprehensive data sets of atmospheric fields, at high horizontal, vertical, and temporal resolution, based not solely on higher-resolution grids but also including the relevant physics and (photo) chemistry at those scales.

Improved spatiotemporal resolution in atmosphere models is a much broader scientific goal, with great computational and theoretical (e.g. convection and turbulence treatment) challenges. As such, this remedy probably requires a level of effort and resources beyond what can be justified solely by the need for satellite data validation. The technological/ organizational viability is therefore considered medium and the cost estimate high. 


If successful, this remedy would largely close the gap, and it would facilitate remedies for most other gaps related to comparator uncertainties through the use of OSSEs (Observing System Simulation Experiments) based on these modelled fields. 

Measurable outcome of success: 

The quality of the model output at its finest resolution can be estimated by comparison with high-resolution measurement data sets, preferably those with limited horizontal, vertical, and temporal smoothing effects, e.g. from balloon-borne sondes. Ideally, an agreement is found within the combined model and measurement uncertainties. 

Expected viability for the outcome of success: 
  • Medium
Scale of work: 
  • Single institution
  • Consortium
Time bound to remedy: 
  • Less than 10 years
Indicative cost estimate (investment): 
  • High cost (> 5 million)
Indicative cost estimate (exploitation): 
  • No
Potential actors: 
  • EU H2020 funding
  • Copernicus funding
  • National funding agencies
  • National Meteorological Services