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Table 1: Overview of single level variables. 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 | Param ID | 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 | no | yes | vertically integrated above the surface | |
tciw | kg/m2 | 79 | no | 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 | Param ID | 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 | |
skt | K | 235 | yes | yes | Surface |
Accumulated fluxes | ||||||
Name | Short Name | Unit | Param ID | 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 | |
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 | |
Top net solar radiation | 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 | Param ID | 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 | Param ID | 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 | no | 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 | Param ID | 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 | no | surface | |
asn | % | 228032 | yes | no | surface | |
Surface roughness lengths | ||||||
Name | Short Name | Unit | Param ID | 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 | Param ID | 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 | yes | surface | |
sithick | m | 174098 | yes | no | surface | |
sitd | m | 260650 | yes | yes | surface | |
Static fields | ||||||
Name | Short Name | Unit | Param ID | 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 |
Subgrid orography average slope* | NA | 0-1 | NA | no | no | surface |
Subgrid orography |
standard deviation* | NA | m | 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
Soil level variables
Soil level variables are given for two model depths, where the first depth is the soil surface and the second depth is the so-called root depth. The root depth varies with the cover type climatology. Please note that the soil level variables are accommodated in the Arctic Regional Reanalysis single level variables catalogue entry.
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Soil level variables | |||||
Name | Short Name | Unit | Param ID | 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.
Diagnostic model level output (analysis), i.e. 0 hour forecasts, are available every 3 hours with 1 and 2 hour forecasts in between.
Table 3: Overview of model level variables Anchor table3 table3
Model level variables | |||||
Name | Short Name | Unit | Param ID | 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 | Param ID | 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.
Output of diagnostic height level variables is available in three hourly intervals at 00, 03, 06, 09, 12, 15, 18 and 21 UTC.
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Height level variables | |||||
Name | Short Name | Unit | Param ID | 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. There are three two more orography-related static parameters: subgrid orography average slope , subgrid orography average direction and and subgrid orography standard deviation. 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 (1991-2021). 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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Verification of precipitation forecasts is a difficult task in general, due to large representativeness errors associated with small scale variability in precipitation and observation errors. For the latter, the wind induced under-catch of solid precipitation in measurements (i.e. observations measure only a fraction of the true total precipitation) is of particular importance, while the problem is smaller for liquid precipitation. A thorough investigation of the CARRA precipitation (Arctic areas with higher relative occurrence of solid precipitation) therefore requires substantial efforts and more considerations than for other parameters and are therefore not yet conducted. However, some preliminary insight in the performance of daily CARRA precipitation can be achieved from Figure 15.
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Figure 15: The estimated relative bias ((CARRA – observed) / observed) of daily precipitation versus the estimated SDE normalized with observed precipitation for different regions for liquid (red) and solid (blue) precipitation. The units are kg/m² which is the same as mm water equivalent.
For liquid precipitation a moderate, mostly positive, bias is found for all regions (CARRA precipitation within 20% of observed values). However, the standard deviation of the error varies between regions with the largest values at Svalbard and smallest errors in Iceland. For solid precipitation, large positive biases are found for Iceland and Svalbard, windy regions where we expect the wind-induced under-catch of solid precipitation in the observations to be substantial. This means that the observations underestimate the true precipitation and these biases are therefore artificially high, and are in reality lower, but the true biases are difficult to quantify. A modest positive bias over the Scandinavian inland areas will also be reduced (or changed to an underestimation), but to a smaller degree since this is a less wind exposed region. All regions exhibit a larger SDE for solid than liquid precipitation and observation errors can be a part of the explanation for this. The only exception is the Scandinavian inland areas, for which the SDE is higher for liquid than solid precipitation. This is a region with substantial convective activity in summer which is less predictable, and where other verification methodologies are needed than point verification. It should be noted that at the Norwegian coast, the CARRA precipitation is smaller than in the observations for both liquid and solid precipitation, which after considering the wind-induced under-catch of solid precipitation indicates a substantial underestimation of the winter precipitation amounts along the Norwegian coast.
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