...
| Info | ||||
|---|---|---|---|---|
| ||||
|
| Easy Heading Macro |
|---|
History of modifications to this User Guide
...
The production of the CERRA data is delayed by 2-3 months with respect to real time. The delay is directly dependent on the availability of some reprocessed datasets (e.g. GNSS-RO). Note: at the time when the dataset was released, a contract for the near-real time update of CERRA dataset had not been concluded, and therefore the production was suspended; it will be resumed once the contract is signed. One should be aware that it takes several months to produce data that will bridge the gap between June 2021 (last available month) and the near-real time, and that only after filling the gap, the dataset will be updated with a delay of 2-3 months behind the real time. For instance, the release of data for January 2023 2024 can be expected in April 20232024.
- Can we use reanalysis data for local applications?
...
The land-sea mask is a field that contains, for every grid, the proportion of land in the grid box. The parameter is dimensionless and the values are between 0 (sea) and 1 (land). The land-sea mask is constant in time and the field is available for every analysis.
Orography
The orography is the height of the terrain with respect to the model defined globe. Each grid point has one value representing the mean over the grid point domain. The orography is given as geopotential height in metre [m2/s2]. The orography is constant in time and the field is available for every analysis.
Surface roughness
The surface roughness describes the aerodynamic roughness length (over land). Each grid point has one value representing the mean over the grid point. The surface roughness is given in metre [m]. The effective surface roughness is depending on the orographic component (constant part), the snow depth, the evolution of the Leaf Area Index and the fraction of vegetation, which is different for each month. Surface roughness is available for the analysis and the forecast time steps.
...
For completeness, a list of the occurrences of missing observational data and affected periods are listed below.
| CERRA | |
|---|---|
| Affected period | Description |
| 2020-10-01 to 2021-06-30 | Fewer SYNOP data than usual. About 1850 instead of 2100 stations. |
| 2021-02-01 to 2021-03-31 | Only few AMV data assimilated in this period. |
2020-04-01 to 2021-03-31 2019-01-01 to 2019-04-09 | Only very few ocean buoy observations. |
2019-01-01 to 2019-03-09 | Data assimilation used a slightly degraded B-matrix. The climatological part of the B-matrix was shifted by two months, i.e. the November climatology was used instead of the January climatology. |
| CERRA-EDA | |
|---|---|
| Affected period | Description |
2021-04-01 to 2021-04-30 | IASI missing for both METOP-A and METOP-B |
2019-01-01 to 2019-05-31 | No AMV included. Only very few ocean buoy observations. |
2019-01-01 to 2019-01-02 | No additional local observations included for Greenland, Iceland, Norway, Sweden, Finland, and France. |
| 2016-10-03 | The 18UTC cycle was ran without TEMP and PILOT data. |
1984-09-01 to present | No MSU data. |
Missing forecast parameters
| CERRA | ||
| Parameter | Forecast Time and Date | Forecast lead time |
10m wind gust since previous post-processing | 00 UTC, 1 April 2021 | +2h; +4h to +30h |
| Minimum 2m temperature since previous post-processing | 00 UTC, 1 April 2021 | +6h |
Maximum 2m temperature since previous post-processing | 00 UTC, 1 April 2021 | +6h |
| CERRA-EDA | ||
| Parameter | Forecast Time and Date | Forecast lead time |
10m wind gust since previous post-processing | 00 UTC, 1 April 2021 06 UTC, 1 April 2021 | +2h; +4h to +6h +2h; +4h to +6h |
| Minimum 2m temperature since previous post-processing | 00 UTC, 1 April 2021 06 UTC, 1 April 2021 | +6h +6h |
Maximum 2m temperature since previous post-processing | 00 UTC, 1 April 2021 06 UTC, 1 April 2021 | +6h +6h |
References
- Ridal, M., Bazile, E., Le Moigne, P., Randriamampianina, R., Schimanke, S., Andrae, U. et al. (2024) CERRA, the Copernicus European Regional Reanalysis system. Quarterly Journal of the Royal Meteorological Society, 1–27. Available from: https://doi.org/10.1002/qj.4764
- Bazile E, R. Abida, A. Verelle, P. Le Moigne and C. Szczypta (2017): MESCAN-SURFEX surface analysis, deliverable D2.8 of the UERRA project, http://www.uerra.eu/publications/deliverable-reports.html
- El-Said A., P. Brousseau, M. Ridal and R. Randriamampianina (2021): A new temporally flow-dependent EDA estimating background errors in the new Copernicus European Regional Re-Analysis (CERRA), Earth and Space Science Open Archive, pp. 28, doi 10.1002/essoar.10507207.1, https://doi.org/10.1002/essoar.10507207.1
- Niermann D. et al. (2017): Scientific report on assessment of regional analysis against independent data sets, deliverable D3.6 of the UERRA project, http://www.uerra.eu/publications/deliverable-reports.html
- Ridal M., S. Schimanke and S. Hopsch (2018): Documentation of the RRA system: UERRA (C3S deliverable D322_Lot1.1.1.2, Documenting the UERRA system)
- Soci C., E. Bazile, F. Besson and T. Landelius (2016). High-resolution precipitation re-analysis system for climatological purposes. Tellus A, Dynamic Meteorology and Oceanography, 68:1, DOI: 10.3402/tellusa.v68.29879
- Verver Gé (2017): User Guidance, deliverable D8.4 of the UERRA project, http://www.uerra.eu/publications/deliverable-reports.html
| Info | ||
|---|---|---|
| ||
This document has been produced in the context of the Copernicus Climate Change Service (C3S). The activities leading to these results have been contracted by the European Centre for Medium-Range Weather Forecasts, operator of C3S on behalf of the European Union (Delegation agreement Agreement signed on 11/11/2014 and Contribution Agreement signed on 22/07/2021). All information in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose. The users thereof use the information at their sole risk and liability. For the avoidance of all doubt , the European Commission and the European Centre for Medium - Range Weather Forecasts have no liability in respect of this document, which is merely representing the author's view. |
...