Atmospheric Humidity
EO Capability Benefits
Three-dimensional humidity profiles are a key variable for global and regional weather prediction models. Weather prediction models are used to produce short- and medium-range forecasts focusing on the troposphere and lower stratosphere. The field of climate monitoring also greatly depends on upper tropospheric humidity datasets for evaluating climate models.
EO Capability Description
Depending on altitude and spatial resolution requirements, atmospheric humidity can be derived using a multitude of approaches. Coarse vertical profiles covering the troposphere to lower stratosphere have been produced using microwave humidity sounders, with horizontal footprints of order 10–20 km and vertical resolution of a few kilometres. Tropospheric humidity profiles have been derived using GNSS (GPS) radio occultation, which tracks signals from a constellation of navigation satellites as they set or rise behind the Earth’s atmosphere (read more on this technology here). This now provides a multi‑decadal record of atmospheric refractivity from which temperature and humidity can be inferred. This approach enables vertical resolutions on the order of 150–200 m in the lower atmosphere, with typical values closer to 0.5–1.5 km.
Kilometre‑scale vertical resolution water vapour profiles over similar altitude ranges can also be produced using infrared interferometry by analysing thermal infrared spectra, typically with horizontal footprints of around 10 km.
If geostationary multi‑ or hyperspectral imagers are used, total column water vapour can be measured at sub‑hourly intervals (typically 5–15 minutes), but with only limited vertical discrimination rather than full profiling.
Indicative Cost Range Details
As use cases involving climate and weather data often require frequently updated or even ‘real-time’ observations rather than a once-off mapping exercise, pricing tends to follow a subscription model. License fees then often differentiate between various user groups. An example would be the European Centre for Medium-Range Weather Forecasts’ data pricing models.