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Acronyms
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Name | Unit | GRIB code | Analysis 3 hourly | Forecast | Height | |
1. | 10m wind speed | m/s | 207 | yes | yes | 10m |
2. | 10m wind gust since previous post-processing | m/s | 49 | - | yes | 10m |
3. | 10m wind direction | degree of true North | 260260 | yes | yes | 10m |
4. | 2m relative humidity | % | 260242 | yes | yes | 2m |
5. | 2m temperature | K | 167 | yes | yes | 2m |
6. | Albedo | % | 260509 | yes | yes | surface |
7. | Evaporation | kg/m2 | 260259 | - | yes | surface |
8. | Total column integrated water vapour | kg/m2 | 260057 | yes | yes | vertically integrated above the surface |
9. | Total precipitation | kg/m2 | 228228 | - | yes | surface |
10. | Maximum 2m temperature since previous post-processing | K | 201 | - | yes | 2m |
11. | Minimum 2m temperature since previous post-processing | K | 202 | - | yes | 2m |
12. | Skin temperature | K | 235 | yes | yes | surface |
13. | Surface latent heat flux | J/m2 | 147 | - | yes | surface |
14. | Surface sensible heat flux | J/m2 | 146 | - | yes | surface |
15. | Time-integrated surface direct short-wave radiation | J/m2 | 260264 | - | yes | surface |
16. | Surface net solar radiation | J/m2 | 176 | - | yes | surface |
17. | Surface solar radiation downwards | J/m2 | 169 | - | yes | surface |
18. | Surface net thermal radiation | J/m2 | 177 | - | yes | surface |
19. | Surface thermal radiation downwards | J/m2 | 175 | - | yes | surface |
20. | Surface net solar radiation, clear sky | J/m2 | 210 | - | yes | surface |
21. | Surface net thermal radiation, clear sky | J/m2 | 211 | - | yes | surface |
22. | Momentum flux at the surface u-component | N/m2 | 235017 | - | yes | surface |
23. | Momentum flux at the surface v-component | N/m2 | 235018 | - | yes | surface |
24. | Mean sea level pressure | Pa | 151 | yes | yes | surface |
25. | Surface pressure | Pa | 134 | yes | yes | surface |
26. | High cloud cover | % | 3075 | yes | yes | above 5000m |
27. | Low cloud cover | % | 3073 | yes | yes | surface-2500m |
28. | Medium cloud cover | % | 3074 | yes | yes | 2500m-5000m |
29. | Total cloud cover | % | 228164 | yes | yes | above ground |
30. | Snow density | kg/m3 | 33 | yes | yes | surface |
31. | Snow depth | m | 3066 | yes | yes | surface |
32. | Snow depth water equivalent | kg/m2 | 228141 | yes | yes | surface |
33. | Snowfall water equivalent | kg/m2 | 228144 | - | yes | surface |
34. | Land-sea mask | dimensionless | 172 | yes | - | surface |
35. | Orography | m2/s2 | 228002 | yes | - | surface |
36. | Surface roughness | m | 173 | yes | yes | surface |
37. | Soil temperature | K | 260360 | yes | yes | top layer of soil |
38. | Liquid Volumetric soil moisture (non-frozen) | m3/m3 | 260199 | yes | yes | top layer of soil |
39. | Volumetric soil moisture | m3/m3 | 260210 | yes | yes | top layer of soil |
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The metadata for the forecast step range is incorrect in the GRIB2 files for the maximum 2m temperature since previous post-processing and the minimum 2m temperature since previous post-processing. The correct step range is given in the table below.
Step range in the metadata | Correct step range |
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0-1 | 0-1 |
0-2 | 0-2 |
0-3 | 0-3 |
0-4 | 3-4 |
0-5 | 3-5 |
0-6 | 3-6 |
0-9 | 6-9 |
0-12 | 9-12 |
0-15 | 12-15 |
0-18 | 15-18 |
0-21 | 18-21 |
0-24 | 21-24 |
0-27 | 24-27 |
0-30 | 27-30 |
Minor data assimilation issues (issues when some observations were not available)
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For completeness, a list of the occurrences of missing observational data and affected periods are listed below.
CERRA | |
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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 | |
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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
- 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
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