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Introduction
This user guide describes the datasets released from the Arctic Regional Reanalysis service, which is part of the Copernicus Climate Change Service (C3S). The datasets will include the actual grid point reanalysis information on different levels (atmospheric vertical levels, surface including soil). This version also provides details on the uncertainty information provided. We will refer to the dataset as the CARRA (Copernicus Arctic Regional ReAnalysis) dataset.
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For most of the variables the shortest forecast data are recommended to use. In general the data quality decreases with forecast length. On the other hand, for variables that are affected by spin-up effects - that is the model needs to run for a certain number of hours before these variables have an optimal quality - the longer forecasts can be better to use. The cloud and precipitation variables are directly affected by spin-up. For time integrated quantities such as theseprecipitation, accumulation over 12 hours between +6 and +18 h forecasts are recommended. Likewise 24 hour accumulation can be obtained as the difference between +30 hour and +6 hour forecasts. However, if accuracy in timing of precipitation events is of very high importance in the application, an option could be to combine hourly forecasts from each of the 8 analysis times (00, 03, 06, 09, 12, 15, 18, 21 UTC) for lead times 1, 2 and 3, which then will be slightly affected by spin-up. It is not possible to make general recommendations on this issue. Users , therefore users are advised to check this for themselves.make their own choices based on the general guidelines described here. (On spin-up of precipitation, see also here.)
Table 1: Overview of single level variables. Some variables have not yet been uploaded to CDS, these are marked with * and unfortunately not be included in the first batch of released reanalysis data. Parameters labelled with TBD ("To Be Determined") do not yet have short name and GRIB code definitions. Most static fields (except land-sea mask and orography) marked with ** are available only as NetCDF-files below. Anchor table1 table1
Precipitation, cloud water and humidity | ||||||
Name | Short Name | Unit | GRIB code | Analysis: 0,3,...,21 | Forecast: 1,2,3,… | Height |
2r | % | 260242 | yes | yes | 2m | |
2sh | kg/kg | 174096 | yes | yes | 2m | |
tciwv | kg/m2 | 260057 | yes | yes | vertically integrated above the surface | |
tclw | kg/m2 | 78 | yes | yes | vertically integrated above the surface | |
tciw | kg/m2 | 79 | yes | yes | vertically integrated above the surface | |
tcolg | kg/m2 | 260001 | yes | yes | vertically integrated above the surface | |
tp | kg/m2 | 228228 | no | yes | surface | |
tirf | kg/m2 | 235015 | no | yes | surface | |
titspf | kg/m2 | 260645 | no | yes | surface | |
ptype | integer code | 260015 | no | yes | surface | |
sro | kg/m2 | 174008 | no | yes | surface | |
Percolation (drainage) | perc | kg/m2 | 260430 | no | yes | sub-surface |
Temperature and wind speed | ||||||
Name | Short Name | Unit | GRIB code | Analysis: 0,3,...,21 | Forecast: 1,2,3,… | Height |
10si | m/s | 207 | yes | yes | 10m | |
10wdir | degrees | 260260 | yes | yes | 10m | |
10m u-component of wind (defined relative to the rotated model grid) | 10u | m/s | 165 | yes | yes | 10m |
10m v component of wind | 10v | m/s | 166 | yes | yes | 10m |
10m eastward wind gust since previous post-processing* | 10efg | m/s | 260646 | no | yes | 10m |
10m northward wind gust since previous post-processing* | 10nfg | m/s | 260647 | no | yes | 10m |
10fg | m/s | 49 | no | yes | 10m | |
mx2t | K | 201 | no | yes | 2m | |
mn2t | K | 202 | no | yes | 2m | |
2t | K | 167 | yes | yes | 2m | |
2m temperature for the sea tile* | TBD | K | TBD | yes | yes | 2m |
2m temperature for the inland water tile* | TBD | K | TBD | yes | yes | 2m |
2m temperature for the nature tile* | TBD | K | TBD | yes | yes | 2m |
2m temperature for the urban tile* | TBD | K | TBD | yes | yes | 2m |
skt | K | 235 | yes | yes | Surface |
Accumulated fluxes | ||||||
Name | Short Name | Unit | GRIB code | Analysis: 0,3,...,21 | Forecast: 1,2,3,… | Height |
al | % | 260509 | no | yes | surface | |
eva | kg/m2 | 260259 | no | yes | surface | |
tisef | kg/m2 | 235072 | no | yes | surface | |
sshf | J/m2 | 146 | no | yes | surface | |
slhf | J/m2 | 147 | no | yes | surface | |
tislhef | J/m2 | 235019 | no | yes | surface | |
tislhsf | J/m2 | 235071 | no | yes | surface | |
Direct solar irradiation* | dsrp | J/m2 | 47 | no | yes | surface |
tidirswrf | J/m2 | 260264 | no | yes | surface | |
ssr | J/m2 | 176 | no | yes | surface | |
ssrd | J/m2 | 169 | no | yes | surface | |
ssrc | J/m2 | 210 | no | yes | surface | |
str | J/m2 | 177 | no | yes | surface | |
strd | J/m2 | 175 | no | yes | surface | |
strc | J/m2 | 211 | no | yes | surface | |
tsr | J/m2 | 178 | no | yes | surface | |
ttr | J/m2 | 179 | no | yes | surface | |
tisemf | kg⋅m/s | 235017 | no | yes | surface | |
tisnmf | kg⋅m/s | 235018 | no | yes | surface | |
Pressure | ||||||
Name | Short Name | Unit | GRIB code | Analysis: 0,3,...,21 | Forecast: 1,2,3,… | Height |
msl | Pa | 151 | yes | yes | surface (scaled to sea level) | |
sp | Pa | 134 | yes | yes | surface | |
Geometric cloud properties | ||||||
Name | Short Name | Unit | GRIB code | Analysis: 0,3,...,21 | Forecast: 1,2,3,… | Height |
hcc | % | 3075 | yes | yes | above 5000m | |
mcc | % | 3074 | yes | yes | 2500m - 5000m | |
lcc | % | 3073 | yes | yes | surface - 2500m | |
tcc | % | 228164 | yes | yes | above ground | |
fog | % | 260648 | yes | yes | lowest model level | |
vis | m | 3020 | yes | yes | lowest model level | |
cdcb | m | 260107 | yes | yes | - | |
cdct | m | 260108 | yes | yes | - | |
Snow | ||||||
Name | Short Name | Unit | GRIB code | Analysis: 0,3,...,21 | Forecast: 1,2,3,… | Height |
rsn | kg/m3 | 33 | yes | yes | surface | |
sd | kg/m2 | 228141 | yes | yes | surface | |
fscov | 0-1 | 260289 | yes | yes | surface | |
asn | % | 228032 | no | yes | surface | |
Surface roughness lengths | ||||||
Name | Short Name | Unit | GRIB code | Analysis: 0,3,...,21 | Forecast: 1,2,3,… | Height |
sr | m | 173 | yes | no | surface | |
srlh | m | 260651 | yes | no | surface | |
Sea states | ||||||
Name | Short Name | Unit | GRIB code | Analysis: 0,3,...,21 | Forecast: 1,2,3,… | Height |
sst | K | 34 | yes | no | surface | |
ci | 0-1 | 31 | yes | no | surface | |
sist | K | 260649 | yes | no | surface | |
sithick | m | 174098 | yes | no | surface | |
sitd | m | 260650 | yes | yes | surface | |
Static fields | ||||||
Name | Short Name | Unit | GRIB code | Analysis: 0,3,...,21 | Forecast: 1,2,3,… | Height |
lsm | % | 172 | no | no | surface | |
Sea tile fraction** | NA | 0-1 | NA | no | no | surface |
Inland water tile fraction** | NA | 0-1 | NA | no | no | surface |
Urban tile fraction** | NA | 0-1 | NA | no | no | surface |
Nature tile fraction** | NA | 0-1 | NA | no | no | surface |
Glacier fraction** | NA | 0-1 |
NA
no
no
surface
NA | no | no | surface | |||
orog | m | 228002 | no | no | surface |
The static fields marked as ** above are available as NetCDF files for the West and East domain respectively here: fractions.west.nc and fractions.east.nc
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Soil level variables | |||||
Name | Short Name | Unit | GRIB code | Analysis: 0,3,...,21 | Forecast: 1,2,3,… |
vsi | m³/m³ | 260644 | yes | yes | |
vsw | m³/m³ | 260199 | yes | yes |
Model level variables
Model level variables are output at 65 hybrid model levels of the HARMONIE-AROME model. These follow the surface at the lowest levels and are gradually evolved into pure pressure levels at the highest levels. These are the levels at which the model computations are done. The height level and pressure level variables are interpolated from these data.
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Table 3: Overview of model level variables Anchor table3 table3
Model level variables | |||||
Name | Short Name | Unit | GRIB code | Analysis: 0,3,...,21 | Forecast: 1,2 |
q | kg/kg | 133 | yes | yes | |
t | K | 130 | yes | yes | |
u-component of wind (defined relative to the rotated model grid) | u | m/s | 131 | yes | yes |
v-component of wind (defined relative to the rotated model grid) | v | m/s | 132 | yes | yes |
ccl | % | 260257 | yes | yes | |
clwc | kg/kg | 246 | yes | yes | |
ciwc | kg/kg | 247 | yes | yes | |
crwc | kg/kg | 75 | yes | yes | |
cswc | kg/kg | 76 | yes | yes | |
grle | kg/kg | 260028 | yes | yes | |
tke | J/kg | 260155 | yes | yes |
Pressure level variables
Pressure level variables are interpolated to 23 specific pressure levels: 1000, 950, 925, 875, 850, 800, 750, 700, 600, 500, 400, 300, 200, 100, 70, 50, 30, 20 and 10 hPa. Thus, they are on isobaric surfaces.
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Pressure level variables | ||||||
Name | Short Name | Unit | GRIB code | Analysis: 0,3,...,21 | Forecast: 1,2,3,… | |
r | % | 157 | yes | yes | ||
t | K | 130 | yes | yes | ||
u-component of wind (defined relative to the rotated model grid) | u | m/s | 131 | yes | yes | |
v-component of wind (Component defined relative to the rotated model grid) | v | m/s | 132 | yes | yes | |
wz | m/s | 260238 | yes | yes | ||
ccl | % | 260257 | yes | yes | ||
clwc | kg/kg | 246 | yes | yes | ||
ciwc | kg/kg | 247 | yes | yes | ||
crwc | kg/kg | 75 | yes | yes | ||
cswc | kg/kg | 76 | yes | yes | ||
grle | kg/kg | 260028 | yes | yes | ||
papt | K | 3014 | yes | yes | ||
z | m²/s² | 129 | yes | yes | ||
pv | K·m²/ (kg·s) | 60 | yes | yes |
Height level variables
Height level variables are interpolated to 11 specific height levels: 15, 30, 50, 75, 100, 150, 200, 250, 300, 400 and 500 metres above the surface.
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Height level variables | |||||
Name | Short Name | Unit | GRIB code | Analysis: 0,3,...,21 | Forecast: 1,2,3,… |
r | % | 157 | yes | yes | |
t | K | 130 | yes | yes | |
ws | m/s | 10 | yes | yes | |
wdir | deg | 3031 | yes | yes | |
clwc | kg/kg | 246 | yes | yes | |
ciwc | kg/kg | 247 | yes | yes | |
Pressure | pres | Pa | 54 | yes | yes |
Details about the data fields
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Static fields are output variables that do not change depending on the model initial time or the forecast length (in other words they are time-independent). These include the land-sea mask, that is the fraction of land in a given model grid box of 2.5 x 2.5 km2 in units of %, and the orography in units of m. For each model grid box in HARMONIE-AROME 4 tile fractions are defined in units of fraction. These are: The fraction of sea, the fraction of inland water (lakes and rivers), the fraction of urban areas, and the fraction of nature, i.e. land areas that are not inland water or urban. The fraction of glaciers is also output. This is assumed to be a constant field with glacier extents representative of the middle of the full reanalysis period (19911997-2021). Glacier extent in remote Arctic locations is not available as accurately mapped yearly datasets. The official maps are outdated due to major calving events in the recent decades. HARMONIE-AROME has not yet been designed to deal with changing land-sea masks or other surface classifications. Thus, these are static fields.
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Name | Levels |
Pressure | Surface as well as mean sea level |
U-component of wind | Pressure levels (50 - 1000 hPa) |
V-component of windy | Pressure levels (50 - 1000 hPa) |
Temperature | Pressure levels (50 - 1000 hPa) |
Geopotential (East domain only) | Pressure levels (50 - 1000 hPa) |
Relative humidity (East domain)/Specific humidity (West domain) | Pressure levels (50 - 1000 hPa) |
In section 6.5 we present uncertainties measured as statistics of actual deviations from observations (also known as verification statistics). Note that observations are a reference not identical to the actual truth, as they also will have uncertainties as well as representativeness issues. This verification statistics is provided for a set of near-surface quantities which are covered by the meteorological observation network, including 2m temperature, 10m winds and precipitation.
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Name | Short name | Unit | Level | Summer statistics | Winter statistics | ||
Upper Bound STDV | Refined STDV | Upper Bound STDV | Refined STDV | ||||
Surface pressure | sp | Pa | 0m above ground | 37.20 | 26.78 | 41.14 | 38.67 |
Mean sea level pressure | msl | Pa | 0m above sea level | 38.18 | 27.49 | 42.15 | 39.62 |
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Figure 2: Climatological analysis error standard deviation for u-component of wind: summer statistics (left), winter statistics (right) as function of standard vertical pressure levels for the CARRA-East domain.
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Name | Short name | Unit | Level | Summer statistics | Winter statistics | ||
Upper Bound STDV | Refined STDV | Upper Bound STDV | Refined STDV | ||||
u-component of wind | u | m/s | 50hPa | 0.545 | 0.223 | 0.556 | 0.228 |
u-component of wind | u | m/s | 100hPa | 0.372 | 0.153 | 0.397 | 0.169 |
u-component of wind | u | m/s | 150hPa | 0.584 | 0.239 | 0.619 | 0.254 |
u-component of wind | u | m/s | 200hPa | 0.865 | 0.355 | 0.923 | 0.378 |
u-component of wind | u | m/s | 250hPa | 1.077 | 0.442 | 1.089 | 0.447 |
u-component of wind | u | m/s | 300hPa | 1.290 | 0.530 | 1.240 | 0.508 |
u-component of wind | u | m/s | 400hPa | 1.282 | 0.526 | 1.292 | 0.530 |
u-component of wind | u | m/s | 500hPa | 1.284 | 0.526 | 1.364 | 0.559 |
u-component of wind | u | m/s | 600hPa | 1.322 | 0.648 | 1.392 | 0.738 |
u-component of wind | u | m/s | 700hPa | 1.346 | 0.740 | 1.404 | 0.927 |
u-component of wind | u | m/s | 800hPa | 1.344 | 0.833 | 1.324 | 1.006 |
u-component of wind | u | m/s | 850hPa | 1.331 | 0.865 | 1.274 | 1.045 |
u-component of wind | u | m/s | 900hPa | 1.311 | 0.905 | 1.275 | 1.122 |
u-component of wind | u | m/s | 925hPa | 1.315 | 0.921 | 1.295 | 1.178 |
u-component of wind | u | m/s | 950hPa | 1.330 | 0.958 | 1.305 | 1.227 |
u-component of wind | u | m/s | 1000hPa | 1.302 | 0.937 | 1.172 | 1.102 |
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Name | Short name | Unit | Level | Summer statistics | Winter statistics | ||
Upper Bound STDV | Refined STDV | Upper Bound STDV | Refined STDV | ||||
v-component of wind | v | m/s | 50hPa | 0.541 | 0.222 | 0.541 | 0.222 |
v-component of wind | v | m/s | 100hPa | 0.376 | 0.154 | 0.384 | 0.157 |
v-component of wind | v | m/s | 150hPa | 0.597 | 0.245 | 0.599 | 0.246 |
v-component of wind | v | m/s | 200hPa | 0.884 | 0.362 | 0.898 | 0.368 |
v-component of wind | v | m/s | 250hPa | 1.105 | 0.453 | 1.061 | 0.435 |
v-component of wind | v | m/s | 300hPa | 1.337 | 0.548 | 1.209 | 0.496 |
v-component of wind | v | m/s | 400hPa | 1.313 | 0.538 | 1.270 | 0.521 |
v-component of wind | v | m/s | 500hPa | 1.328 | 0.544 | 1.351 | 0.554 |
v-component of wind | v | m/s | 600hPa | 1.363 | 0.668 | 1.391 | 0.737 |
v-component of wind | v | m/s | 700hPa | 1.383 | 0.761 | 1.402 | 0.925 |
v-component of wind | v | m/s | 800hPa | 1.382 | 0.857 | 1.332 | 1.012 |
v-component of wind | v | m/s | 850hPa | 1.363 | 0.886 | 1.282 | 1.051 |
v-component of wind | v | m/s | 900hPa | 1.342 | 0.926 | 1.277 | 1.124 |
v-component of wind | v | m/s | 925hPa | 1.344 | 0.941 | 1.293 | 1.177 |
v-component of wind | v | m/s | 950hPa | 1.361 | 0.980 | 1.299 | 1.221 |
v-component of wind | v | m/s | 1000hPa | 1.318 | 0.949 | 1.167 | 1.097 |
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Name | Short name | Unit | Level | Summer statistics | Winter statistics | ||
Upper Bound STDV | Refined STDV | Upper Bound STDV | Refined STDV | ||||
temperature | t | K | 50hPa | 0.141 | 0.058 | 0.142 | 0.058 |
temperature | t | K | 100hPa | 0.122 | 0.050 | 0.122 | 0.050 |
temperature | t | K | 150hPa | 0.230 | 0.094 | 0.224 | 0.092 |
temperature | t | K | 200hPa | 0.466 | 0.191 | 0.441 | 0.181 |
temperature | t | K | 250hPa | 0.490 | 0.201 | 0.438 | 0.180 |
temperature | t | K | 300hPa | 0.392 | 0.161 | 0.406 | 0.167 |
temperature | t | K | 400hPa | 0.314 | 0.129 | 0.341 | 0.140 |
temperature | t | K | 500hPa | 0.346 | 0.142 | 0.359 | 0.147 |
temperature | t | K | 600hPa | 0.399 | 0.196 | 0.399 | 0.211 |
temperature | t | K | 700hPa | 0.465 | 0.256 | 0.465 | 0.307 |
temperature | t | K | 800hPa | 0.537 | 0.333 | 0.485 | 0.369 |
temperature | t | K | 850hPa | 0.586 | 0.381 | 0.508 | 0.417 |
temperature | t | K | 900hPa | 0.614 | 0.424 | 0.520 | 0.458 |
temperature | t | K | 925hPa | 0.604 | 0.423 | 0.531 | 0.483 |
temperature | t | K | 950hPa | 0.612 | 0.441 | 0.546 | 0.513 |
temperature | t | K | 1000hPa | 0.582 | 0.419 | 0.576 | 0.504 |
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Name | Short name | Unit | Level | Summer statistics | Winter statistics | ||
Upper Bound STDV | Refined STDV | Upper Bound STDV | Refined STDV | ||||
geopotential | z | m²/s² | 50hPa | 42.17 | 17.29 | 41.54 | 17.03 |
geopotential | z | m²/s² | 100hPa | 41.29 | 16.93 | 40.39 | 16.56 |
geopotential | z | m²/s² | 150hPa | 39.06 | 16.01 | 38.22 | 15.67 |
geopotential | z | m²/s² | 200hPa | 30.34 | 12.44 | 30.41 | 12.47 |
geopotential | z | m²/s² | 250hPa | 29.65 | 12.16 | 29.87 | 12.25 |
geopotential | z | m²/s² | 300hPa | 31.28 | 12.82 | 30.92 | 12.68 |
geopotential | z | m²/s² | 400hPa | 29.68 | 12.17 | 29.56 | 12.12 |
geopotential | z | m²/s² | 500hPa | 27.60 | 11.32 | 27.56 | 11.30 |
geopotential | z | m²/s² | 600hPa | 26.57 | 13.02 | 26.47 | 14.03 |
geopotential | z | m²/s² | 700hPa | 25.99 | 14.29 | 25.93 | 17.11 |
geopotential | z | m²/s² | 800hPa | 25.40 | 15.75 | 25.48 | 19.36 |
geopotential | z | m²/s² | 850hPa | 25.13 | 16.33 | 25.68 | 21.06 |
geopotential | z | m²/s² | 900hPa | 25.40 | 17.53 | 26.80 | 23.58 |
geopotential | z | m²/s² | 925hPa | 25.89 | 18.12 | 27.77 | 25.27 |
geopotential | z | m²/s² | 950hPa | 26.74 | 19.25 | 29.02 | 27.28 |
geopotential | z | m²/s² | 1000hPa | 29.47 | 21.22 | 32.43 | 30.48 |
Table 12: Climatological analysis error standard deviation relative humidity for the CARRA-East domain. Anchor table12 table12
Name | Short name | Unit | Level | Summer statistics | Winter statistics | ||
Upper Bound STDV | Refined STDV | Upper Bound STDV | Refined STDV | ||||
relative humidity | r | % | 50hPa | 0.024 | 0.010 | 1.256 | 0.515 |
relative humidity | r | % | 100hPa | 0.010 | 0.004 | 0.194 | 0.080 |
relative humidity | r | % | 150hPa | 0.040 | 0.016 | 0.425 | 0.174 |
relative humidity | r | % | 200hPa | 0.534 | 0.219 | 1.913 | 0.784 |
relative humidity | r | % | 250hPa | 3.223 | 1.321 | 4.900 | 2.009 |
relative humidity | r | % | 300hPa | 6.153 | 2.523 | 8.861 | 3.633 |
relative humidity | r | % | 400hPa | 8.236 | 3.377 | 12.634 | 5.180 |
relative humidity | r | % | 500hPa | 7.181 | 2.944 | 12.562 | 5.150 |
relative humidity | r | % | 600hPa | 6.819 | 3.341 | 11.824 | 6.267 |
relative humidity | r | % | 700hPa | 6.740 | 3.707 | 11.522 | 7.605 |
relative humidity | r | % | 800hPa | 6.544 | 4.057 | 9.638 | 7.325 |
relative humidity | r | % | 850hPa | 6.118 | 3.977 | 8.194 | 6.719 |
relative humidity | r | % | 900hPa | 5.215 | 3.598 | 6.820 | 6.002 |
relative humidity | r | % | 925hPa | 4.674 | 3.272 | 6.303 | 5.736 |
relative humidity | r | % | 950hPa | 4.285 | 3.085 | 5.767 | 5.421 |
relative humidity | r | % | 1000hPa | 3.477 | 2.503 | 4.277 | 4.020 |
Uncertainties for the CARRA-West model domain
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Name | Short name | Unit | Level | Upper Bound STDV | Refined STDV |
Surface pressure | sp | Pa | 0m above ground | 26.11 | 7.04 |
Mean sea level pressure | msl | Pa | 0m above sea level | 39.44 | 10.64 |
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Figure 7: Climatological analysis error standard deviation for u-component of wind (left plot) and for v-component of wind (right plot) as function of standard vertical pressure levels for the CARRA-West domain.
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Name | Short name | Unit | Level | Upper Bound STDV | Refined STDV |
u-component of wind | u | m/s | 50hPa | 0.540 | 0.146 |
u-component of wind | u | m/s | 100hPa | 0.370 | 0.100 |
u-component of wind | u | m/s | 150hPa | 0.447 | 0.121 |
u-component of wind | u | m/s | 200hPa | 0.611 | 0.165 |
u-component of wind | u | m/s | 250hPa | 0.732 | 0.198 |
u-component of wind | u | m/s | 300hPa | 0.871 | 0.235 |
u-component of wind | u | m/s | 400hPa | 0.869 | 0.235 |
u-component of wind | u | m/s | 500hPa | 0.862 | 0.233 |
u-component of wind | u | m/s | 600hPa | 0.887 | 0.240 |
u-component of wind | u | m/s | 700hPa | 0.893 | 0.241 |
u-component of wind | u | m/s | 800hPa | 0.856 | 0.231 |
u-component of wind | u | m/s | 850hPa | 0.831 | 0.224 |
u-component of wind | u | m/s | 900hPa | 0.810 | 0.219 |
u-component of wind | u | m/s | 925hPa | 0.803 | 0.217 |
u-component of wind | u | m/s | 950hPa | 0.799 | 0.216 |
u-component of wind | u | m/s | 1000hPa | 0.773 | 0.209 |
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Name | Short name | Unit | Level | Upper Bound STDV | Refined STDV |
v-component of wind | v | m/s | 50hPa | 0.535 | 0.144 |
v-component of wind | v | m/s | 100hPa | 0.360 | 0.097 |
v-component of wind | v | m/s | 150hPa | 0.449 | 0.135 |
v-component of wind | v | m/s | 200hPa | 0.603 | 0.162 |
v-component of wind | v | m/s | 250hPa | 0.714 | 0.193 |
v-component of wind | v | m/s | 300hPa | 0.851 | 0.230 |
v-component of wind | v | m/s | 400hPa | 0.853 | 0.230 |
v-component of wind | v | m/s | 500hPa | 0.852 | 0.230 |
v-component of wind | v | m/s | 600hPa | 0.877 | 0.237 |
v-component of wind | v | m/s | 700hPa | 0.884 | 0.239 |
v-component of wind | v | m/s | 800hPa | 0.852 | 0.230 |
v-component of wind | v | m/s | 850hPa | 0.826 | 0.223 |
v-component of wind | v | m/s | 900hPa | 0.801 | 0.216 |
v-component of wind | v | m/s | 925hPa | 0.794 | 0.214 |
v-component of wind | v | m/s | 950hPa | 0.792 | 0.214 |
v-component of wind | v | m/s | 1000hPa | 0.763 | 0.206 |
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Figure 8: Climatological analysis error standard deviation for temperature (left plot) and specific humidity (right plot) as a function of standard pressure levels for the CARRA-West domain.
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Name | Short name | Unit | Level | Upper Bound STDV | Refined STDV |
temperature | t | K | 50hPa | 0.130 | 0.035 |
temperature | t | K | 100hPa | 0.112 | 0.030 |
temperature | t | K | 150hPa | 0.169 | 0.045 |
temperature | t | K | 200hPa | 0.276 | 0.075 |
temperature | t | K | 250hPa | 0.285 | 0.077 |
temperature | t | K | 300hPa | 0.263 | 0.071 |
temperature | t | K | 400hPa | 0.227 | 0.061 |
temperature | t | K | 500hPa | 0.235 | 0.063 |
temperature | t | K | 600hPa | 0.259 | 0.070 |
temperature | t | K | 700hPa | 0.350 | 0.095 |
temperature | t | K | 800hPa | 0.473 | 0.128 |
temperature | t | K | 850hPa | 0.500 | 0.135 |
temperature | t | K | 900hPa | 0.508 | 0.137 |
temperature | t | K | 925hPa | 0.509 | 0.137 |
temperature | t | K | 950hPa | 0.520 | 0.140 |
temperature | t | K | 1000hPa | 0.542 | 0.146 |
Table 17: Climatological analysis error standard deviation for specific humidity for the CARRA-West domain. Anchor table17 table17
Name | Short name | Unit | Level | Upper Bound STDV | Refined STDV |
specific humidity | r | g/kg | 50hPa | 0. | 0. |
specific humidity | r | g/kg | 100hPa | 0. | 0. |
specific humidity | r | g/kg | 150hPa | 0. | 0. |
specific humidity | r | g/kg | 200hPa | 0.001 | 0.0002 |
specific humidity | r | g/kg | 250hPa | 0.002 | 0.0004 |
specific humidity | r | g/kg | 300hPa | 0.006 | 0.001 |
specific humidity | r | g/kg | 400hPa | 0.020 | 0.005 |
specific humidity | r | g/kg | 500hPa | 0.048 | 0.013 |
specific humidity | r | g/kg | 600hPa | 0.082 | 0.022 |
specific humidity | r | g/kg | 700hPa | 0.113 | 0.031 |
specific humidity | r | g/kg | 800hPa | 0.127 | 0.034 |
specific humidity | r | g/kg | 850hPa | 0.126 | 0.034 |
specific humidity | r | g/kg | 900hPa | 0.119 | 0.032 |
specific humidity | r | g/kg | 925hPa | 0.115 | 0.031 |
specific humidity | r | g/kg | 950hPa | 0.112 | 0.030 |
specific humidity | r | g/kg | 1000hPa | 0.099 | 0.027 |
Questions & Answers on field uncertainty estimates
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The Arctic reanalysis system applies the so-called 3D variational data assimilation (3D-VAR) reanalysis method. The 3D-VAR method is depicted schematically in Figure 19. At fixed points in time the model state is adjusted based on the observed state, taking into account the statistics of model and observation errors. The Arctic reanalysis system is run with eight cycles per day performing analyses at 00 UTC, 03 UTC, 06 UTC, 09 UTC, 12 UTC, 15 UTC, 18 UTC and 21 UTC. The forecast lengths vary between 3 and 30 hours.
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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 signed on 11/11/2014). 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. |
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