Long term climate series (1)
Satellite(s)Combination of satellites and sensors. | Monitoring elementSatellite/sensor dependent. |
|---|---|
Description techniqueThe Copernicus Atmosphere Monitoring Service provides the capacity to continuously monitor the composition of the Earth’s atmosphere at global and regional scales. The main global near-real-time production system is a data assimilation and forecasting suite providing two 5-day forecasts per day for aerosols and chemical compounds that are part of the chemical scheme. Currently only two parameters are available:
| Accuracy / Resolution0.4 arc degrees (approximately 40km). |
Case studyGlobal climate data is a possible alternative to, or can be used in conjunction with, NZ data (e.g. VCSN). | |
Benefits
| LimitationsSteep learning curve for a non-expert, e.g., using the Google Earth Engine requires some investment in time. |
Applicability for NorthlandYes. Ideally it could serve as an interpolator between ground observations. Westerhoff (2015) provide examples of that interpolation. | |
Publication referencesBenedetti, A., and Coauthors, 2009: Aerosol analysis and forecast in the ECMWF Integrated Forecast System. Part II : Data assimilation, J. Geophys. Res., 114, D13205 doi:10.1029/2008JD011115. https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2008JD011115 Morcrette, and Coauthors, 2009: Aerosol analysis and forecast in the ECMWF Integrated Forecast System. Part I: Forward modelling, J. Geophys. Res., 114, D06206. doi:10.1029/2008JD011235 https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2008JD011235 Westerhoff, R.S., 2015. Using uncertainty of Penman and Penman–Monteith methods in combined satellite and ground-based evapotranspiration estimates. Remote Sensing of Environment 169, 102–112. | |
Other comments or information2016 - present | |
Other references or linkshttps://developers.google.com/earth-engine/datasets/catalog/ECMWF_CAMS_NRT | |