Introduction
Here we document the CAMS reanalysis dataset, which, eventually, will cover the period January 2003 to near real time (NRT), though the first tranche of data, released in October 2017, only covers the year 2003. The CAMS reanalysis is the latest global reanalysis data set of atmospheric composition (AC) produced by the Copernicus Atmosphere Monitoring Service, consisting of 3-dimensional time-consistent AC fields, including aerosols, chemical species and greenhouse gases. The data set builds on the experience gained during the production of the earlier MACC reanalysis and CAMS interim reanalysis.
The CAMS reanalysis was produced using 4DVar data assimilation in CY42R1 of ECMWF’s Integrated Forecast System (IFS), with 60 hybrid sigma/pressure (model) levels in the vertical, with the top level at 0.1 hPa. Atmospheric data are available on these levels and they are also interpolated to 25 pressure, 10 potential temperature and 1 potential vorticity level(s). "Surface or single level" data are also available..
Generally, the data are available at a sub-daily and monthly frequency and consist of analyses and 48h forecasts, initialised daily from analyses at 0 UTC.
The data are archived in the ECMWF data archive (MARS) and can be retrieved using the ECMWF Public Dataset service via the WebAPI (Member State users can access the data using MARS directly, in the usual manner). In the future, the data will be available from the CAMS data server.
The IFS model and data assimilation system
The 4DVar data assimilation uses 12 hour windows from 09 UTC to 21 UTC and 21 UTC to 09 UTC (the following day).
The IFS model documentation for various model cycles can be found on https://www.ecmwf.int/en/forecasts/documentation-and-support/changes-ecmwf-model/ifs-documentation. The model used in the CAMS reanalysis includes several updates to the aerosol and chemistry modules on top of the standard CY42R1 release.
Aerosol model
- The aerosol model contains new aerosol optical properties (see Bozzo et al. 2017: "Implementation of a CAMS-based aerosol climatology in IFS" ECMWF Technical memo).
- For Organic Matter (OM), there is significantly less extinction per mass.
- Aerosol optical properties at 10 micron wavelength
- Bugfix of dust and sea-salt sedimentation
- Decrease of the fraction of sea-salt aerosol subjected to in-cloud scavenging from 0.7 to 0.2 (to compensate the low bias brought by the activation of sedimentation)
- SO2 dry deposition velocities from SUMO (same as SO2 in chemistry)
- Secondary Organic Aerosol (SOA) production scaled on non biomass burning CO emissions
- SO2 to SO4 conversion complexified: a temperature dependency was added; conversion increased by 50% where relative humidity > 98% and T> 273.15 K
- SO2 to SO4 conversion e-folding time was decreased from 8 to 4 days at the equator and from 3 to 0.5 days at the pole
- SO4 dry deposition velocity was ncreased over the oceans
- Use of mass fixer for aerosol species
- Scaling of biomass-burning Black Carbon (BC) emissions using the ratio of BC AOD (CAMS interim reanalysis) / BC AOD (CAMS interim control run). Not done for OM because of the change in optical properties.
- 80% of SO2 emissions are released in the two lowest model levels (as an update of tendencies) rather than at surface (fluxes)
- Use of an external file to define the altitude of ~1500 volcanoes. Where there is a volcano, SO2 emissions are released 3 model levels higher than the altitude of the volcano.
Chemistry mechanism
The chemical mechanism of the IFS is an extended version of the Carbon Bond 2005 (CB05) chemical mechanism as implemented in CTM Transport Model 5 (TM5). In the CAMS reanalysis the model as documented in Flemming et al. (2015) and Flemming et al. (2017) is used with the following updates:
- Update of heterogeneous rate coefficients for N2O5 and HO2 based on clouds and aerosol
- Modification of photolysis rates by aerosol
- Dynamic tropopause definition based on T profile for coupling to stratosphere and tropospheric mass diagnostics
- Monthly mean VOC emissions calculated by the MEGAN model using MERRA reanalysed meteorology (Sindelarova et al., 2014) for all VOCs and for whole period 2003-2015 period.
- Bugfixes, in particular for diurnal cycle of dry deposition whose correction has decreased ozone dry deposition (about 15-20%)
- CHEM_VER=15
Greenhouse Gases
The model configuration for greenhouse gases is based on the specification of the following components documented in the listed papers below:
- Emissions for CO2 are documented in Agusti-Panareda et al. (2014), Massart et al. (2016).
- Bias correction for CO2 ecosystem fluxes based on the Biogenic Flux Adjustement Scheme is documented by Agusti-Panareda et al. (2016)
- Emissions and loss rate for CH4 is documented in Massart et al. (2014)
- Mass fixer configuration for CO2 and CH4 is documented by Agusti-Panareda et al. (2017)
Emission datasets
The emissions datasets used to produce the CAMS reanalysis are listed in Table 1. They include the MACCity anthropogenic emission, GFAS fire emissions, MEGAN biogenic emissions and several GHG emission datasets.
Table 1: Emission datasets used in the CAMS reanalysis
Data set | Version/Period | Experiment/path |
---|---|---|
MACCity anthropognic emissions | MACCity_gfas_rean_v2 | /fwsm/lb/project/macc/grg/cifs_prep/emis_data/MACCity_gfas_rean_v2/tm5/processed/ |
GFAS | v0: 20021001-20021231 v1.2: 20030101- | exp=ffxr, class="rd" exp=0001, class="mc" |
Dry deposition | sumo dry deposition | /home/rd/ecgems/data/cifs_input/chem/drydep_data/sumo/tm5/255l_2/ |
VOC emissions | Monthly mean VOC emissions calculated by the MEGAN model using MERRA reanalysed meteorology (Sindelarova et al., 2014) | |
CO2 ocean fluxes | Takahashi et al. (2009) climatology | /home/rd/ecgems/data/cifs_input/ghg/emis_data/co2_ocean/takahashi2009/255l_2 |
CO2 emissions from aviation | based on ACCMIP NO emissions from aviation scaled to annual total CO2 from EDGAR aviation emissions. | /fwsm/lb/project/macc/grg/cifs_prep/emis_data/MACCity_gfas_rean_v2/aircraft/processed |
CO2 ecosystem fluxes bias corrected with BFAS | Based on CHTESSEL (modelled online in C-IFS) | |
CO2 anthropogenic emissions | EDGARv4.2FT2010 (2003-2010) | /home/rd/ecgems/data/cifs_input/ghg/emis_data/co2_apf/edgarv42ft2010_v2016/255l_2 |
CH4 wetland emissions | LPJ-HYMN climatology (Spanhi et al.,2013) | /home/rd/ecgems/data/cifs_input/ghg/emis_data/ch4_wetland/lpjhymn/255l_2/ |
CH4 total emissions | based on EDGARv4.2FT2010 , LPJ-HYMN wetland climatology and other natural sources/sinks (2003-2010) | /home/rd/ecgems/data/cifs_input/ghg/emis_data/ch4/total_emis_edgarv42ft2010_lpjhymnwetland/255l_2/ |
CH4 chemical sink | based on Bergamaschi et al. (2013) dataset | /home/rd/ecgems/data/cifs_input/ghg/chem_clim/ch4/255l_2/ |
CH4 anthropogenic emissions | EDGARv4.2FT2010 (2003-2010) | /home/rd/ecgems/data/cifs_input/ghg/emis_data/ch4_apf/apf_edgarv42ft2010/255l_2/ |
Data organisation
The data can be accessed using the MARS keywords class=mc and expver=eac4 (or ‘dataset’ : “eac4” for the ECMWF Public Dataset service via the WebAPI). Subdivisions of the data are labelled using stream, type and levtype.
Stream:
- oper: sub-daily
- mnth: HRES synoptic monthly means
- moda: HRES monthly means of daily means
Type:
- an: analyses
- fc: forecasts
Levtype:
- sfc: surface or single level
- pl: pressure levels
- pt: potential temperature levels
- pv: potential vorticity level
- ml: model levels
Spatial grid
The CAMS reanalysis data have a resolution of 80km. The data are available either as spectral coefficients with a triangular truncation of T255 or on a reduced Gaussian grid with a resolution of N128. These grids are so called "linear grids", sometimes referred to as TL255.
Temporal frequency
For sub-daily data for the CAMS reanalysis (stream=oper) the analyses (type=an) are available 3-hourly. The daily forecast, run from 0 UTC, has 3-hourly steps from 0 to 48 hours for the 3D model level and pressure level fields, and hourly steps from 0 to 48 hours for the surface fields.
Monthly means
Several parameters are also available as synoptic monthly means, for each particular time and forecast step, (stream=mnth) and monthly means of daily means, for the month as a whole (stream=moda).
Monthly means for analyses and instantaneous forecasts are created from data with a valid time in the month, between 00 and 23 UTC, which excludes the time 00 UTC on the first day of the following month. Monthly means for accumulations and mean rates are created from data with a forecast period falling within the month. For example, monthly means of daily means for accumulations and mean rates are created from contiguous data with forecast periods spanning from 00 UTC on the first day of the month to 00 UTC on the first day of the following month.
Data format
Model level fields are in GRIB2 format. All other fields are in GRIB1, unless otherwise indicated.
Level listings
Pressure levels: 1000/950/925/900/850/800/700/600/500/400/300/250/200/150/100/70/50/30/20/10/7/5/3/2/1
Potential temperature levels: 300/315/320/330/350/370/395/475/600/850
Potential vorticity level: 2000
Model levels: 1/to/60, which are described at https://www.ecmwf.int/en/forecasts/documentation-and-support/60-model-levels.
Parameter listings
Tables 1-5 below describe the surface and single level parameters (levtype=sfc), Table 6 describes wave parameters, Table 7 describes the monthly mean exceptions for surface and single level and wave parameters and Tables 8-12 describe upper air parameters on various levtypes.
Table 1: stream=oper/mnth/moda, levtype=sfc: surface and single level parameters: invariants
count | name | units | shortName | paramId | an | fc |
1 | Lake cover | (0 - 1) | cl | 26 | x | x |
2 | Lake depth | m | dl | 228007 | x | x |
3 | Low vegetation cover | (0 - 1) | cvl | 27 | x |
|
4 | High vegetation cover | (0 - 1) | cvh | 28 | x |
|
5 | Type of low vegetation | ~ | tvl | 29 | x |
|
6 | Type of high vegetation | ~ | tvh | 30 | x |
|
7 | Soil type | ~ | slt | 43 | x |
|
8 | Standard deviation of filtered subgrid orography | m | sdfor | 74 | x |
|
9 | Geopotential | m**2 s**-2 | z | 129 | x | x |
10 | Standard deviation of orography | ~ | sdor | 160 | x |
|
11 | Anisotropy of sub-gridscale orography | ~ | isor | 161 | x |
|
12 | Angle of sub-gridscale orography | radians | anor | 162 | x |
|
13 | Slope of sub-gridscale orography | ~ | slor | 163 | x |
|
14 | Land-sea mask | (0 - 1) | lsm | 172 | x | x |
Table 2: stream=oper/mnth/moda, levtype=sfc: surface and single level parameters: instantaneous
count | name | units | shortName | paramId | an | fc |
1 | Convective inhibition | J kg**-1 | cin | 228001 | x | |
2 | Friction velocity | m s**-1 | zust | 228003 | x | |
3 | Lake mix-layer temperature | K | lmlt | 228008 | x | x |
4 | Lake mix-layer depth | m | lmld | 228009 | x | x |
5 | Lake bottom temperature | K | lblt | 228010 | x | x |
6 | Lake total layer temperature | K | ltlt | 228011 | x | x |
7 | Lake shape factor | dimensionless | lshf | 228012 | x | x |
8 | Lake ice temperature | K | lict | 228013 | x | x |
9 | Lake ice depth | m | licd | 228014 | x | x |
10 | UV visible albedo for direct radiation | (0 - 1) | aluvp | 15 | x | x |
11 | Minimum vertical gradient of refractivity inside trapping layer | m**-1 | dndzn | 228015 | x | |
12 | UV visible albedo for diffuse radiation | (0 - 1) | aluvd | 16 | x | x |
13 | Mean vertical gradient of refractivity inside trapping layer | m**-1 | dndza | 228016 | x | |
14 | Near IR albedo for direct radiation | (0 - 1) | alnip | 17 | x | x |
15 | Duct base height | m | dctb | 228017 | x | |
16 | Near IR albedo for diffuse radiation | (0 - 1) | alnid | 18 | x | x |
17 | Trapping layer base height | m | tplb | 228018 | x | |
18 | Trapping layer top height | m | tplt | 228019 | x | |
19 | Cloud base height | m | cbh | 228023 | x | |
20 | Zero degree level | m | deg0l | 228024 | x | |
21 | Instantaneous 10 metre wind gust | m s**-1 | i10fg | 228029 | x | |
22 | Sea-ice cover | (0 - 1) | ci | 31 | x | x |
23 | Snow albedo | (0 - 1) | asn | 32 | x | x |
24 | Snow density | kg m**-3 | rsn | 33 | x | x |
25 | Sea surface temperature | K | sst | 34 | x | x |
26 | Ice temperature layer 1 | K | istl1 | 35 | x | x |
27 | Ice temperature layer 2 | K | istl2 | 36 | x | x |
28 | Ice temperature layer 3 | K | istl3 | 37 | x | x |
29 | Ice temperature layer 4 | K | istl4 | 38 | x | x |
30 | Volumetric soil water layer 1 | m**3 m**-3 | swvl1 | 39 | x | x |
31 | Volumetric soil water layer 2 | m**3 m**-3 | swvl2 | 40 | x | x |
32 | Volumetric soil water layer 3 | m**3 m**-3 | swvl3 | 41 | x | x |
33 | Volumetric soil water layer 4 | m**3 m**-3 | swvl4 | 42 | x | x |
34 | Convective available potential energy | J kg**-1 | cape | 59 | x | x |
35 | Leaf area index, low vegetation | m**2 m**-2 | lai_lv | 66 | x | x |
36 | Leaf area index, high vegetation | m**2 m**-2 | lai_hv | 67 | x | x |
37 | Total column cloud liquid water | kg m**-2 | tclw | 78 | x | x |
38 | Total column cloud ice water | kg m**-2 | tciw | 79 | x | x |
39 | Total column supercooled liquid water | kg m**-2 | tcslw | 228088 | x | |
40 | Total column rain water | kg m**-2 | tcrw | 228089 | x | x |
41 | Total column snow water | kg m**-2 | tcsw | 228090 | x | x |
42 | Neutral wind at 10 m u-component | m s**-1 | u10n | 228131 | x | x |
43 | Neutral wind at 10 m v-component | m s**-1 | v10n | 228132 | x | x |
44 | Surface pressure | Pa | sp | 134 | x | x |
45 | Total column water | kg m**-2 | tcw | 136 | x | x |
46 | Total column water vapour | kg m**-2 | tcwv | 137 | x | x |
47 | Soil temperature level 1 | K | stl1 | 139 | x | x |
48 | Snow depth | m of water equivalent | sd | 141 | x | x |
49 | Charnock | ~ | chnk | 148 | x | x |
50 | Mean sea level pressure | Pa | msl | 151 | x | x |
51 | Boundary layer height | m | blh | 159 | x | x |
52 | Total cloud cover | (0 - 1) | tcc | 164 | x | x |
53 | 10 metre U wind component | m s**-1 | 10u | 165 | x | x |
54 | 10 metre V wind component | m s**-1 | 10v | 166 | x | x |
55 | 2 metre temperature | K | 2t | 167 | x | x |
56 | 2 metre dewpoint temperature | K | 2d | 168 | x | x |
57 | Soil temperature level 2 | K | stl2 | 170 | x | x |
58 | Soil temperature level 3 | K | stl3 | 183 | x | x |
59 | Low cloud cover | (0 - 1) | lcc | 186 | x | x |
60 | Medium cloud cover | (0 - 1) | mcc | 187 | x | x |
61 | High cloud cover | (0 - 1) | hcc | 188 | x | x |
62 | Skin reservoir content | m of water equivalent | src | 198 | x | x |
63 | Total column ozone | kg m**-2 | tco3 | 206 | x | x |
64 | Instantaneous large-scale surface precipitation fraction | (0 - 1) | ilspf | 228217 | x | |
65 | Convective rain rate | kg m**-2 s**-1 | crr | 228218 | x | |
66 | Large scale rain rate | kg m**-2 s**-1 | lsrr | 228219 | x | |
67 | Convective snowfall rate water equivalent | kg m**-2 s**-1 | csfr | 228220 | x | |
68 | Large scale snowfall rate water equivalent | kg m**-2 s**-1 | lssfr | 228221 | x | |
69 | Instantaneous eastward turbulent surface stress | N m**-2 | iews | 229 | x | x |
70 | Instantaneous northward turbulent surface stress | N m**-2 | inss | 230 | x | x |
71 | Instantaneous surface sensible heat flux | W m**-2 | ishf | 231 | x | x |
72 | Instantaneous moisture flux | kg m**-2 s**-1 | ie | 232 | x | x |
73 | Skin temperature | K | skt | 235 | x | x |
74 | Soil temperature level 4 | K | stl4 | 236 | x | x |
75 | Temperature of snow layer | K | tsn | 238 | x | x |
76 | Forecast albedo | (0 - 1) | fal | 243 | x | x |
77 | Forecast surface roughness | m | fsr | 244 | x | x |
78 | Forecast logarithm of surface roughness for heat | ~ | flsr | 245 | x | x |
79 | 100 metre U wind component | m s**-1 | 100u | 228246 | x | x |
80 | 100 metre V wind component | m s**-1 | 100v | 228247 | x | x |
81 | Precipitation type | code table (4.201) | ptype | 260015* | x | |
82 | K index | K | kx | 260121* | x | |
83 | Total totals index | K | totalx | 260123* | x |
*GRIB2 format
Table 3: stream=oper/mnth/moda, levtype=sfc: surface and single level parameters: accumulations
count | name | units | shortName | paramId | an | fc |
1 | Large-scale precipitation fraction | s | lspf | 50 | x | |
2 | Downward UV radiation at the surface | J m**-2 | uvb | 57 | x | |
3 | Boundary layer dissipation | J m**-2 | bld | 145 | x | |
4 | Surface sensible heat flux | J m**-2 | sshf | 146 | x | |
5 | Surface latent heat flux | J m**-2 | slhf | 147 | x | |
6 | Surface solar radiation downwards | J m**-2 | ssrd | 169 | x | |
7 | Surface thermal radiation downwards | J m**-2 | strd | 175 | x | |
8 | Surface net solar radiation | J m**-2 | ssr | 176 | x | |
9 | Surface net thermal radiation | J m**-2 | str | 177 | x | |
10 | Top net solar radiation | J m**-2 | tsr | 178 | x | |
11 | Top net thermal radiation | J m**-2 | ttr | 179 | x | |
12 | Eastward turbulent surface stress | N m**-2 s | ewss | 180 | x | |
13 | Northward turbulent surface stress | N m**-2 s | nsss | 181 | x | |
14 | Eastward gravity wave surface stress | N m**-2 s | lgws | 195 | x | |
15 | Northward gravity wave surface stress | N m**-2 s | mgws | 196 | x | |
16 | Gravity wave dissipation | J m**-2 | gwd | 197 | x | |
17 | Top net solar radiation, clear sky | J m**-2 | tsrc | 208 | x | |
18 | Top net thermal radiation, clear sky | J m**-2 | ttrc | 209 | x | |
19 | Surface net solar radiation, clear sky | J m**-2 | ssrc | 210 | x | |
20 | Surface net thermal radiation, clear sky | J m**-2 | strc | 211 | x | |
21 | TOA incident solar radiation | J m**-2 | tisr | 212 | x | |
22 | Vertically integrated moisture divergence | kg m**-2 | vimd | 213 | x | |
23 | Total sky direct solar radiation at surface | J m**-2 | fdir | 228021 | x | |
24 | Clear-sky direct solar radiation at surface | J m**-2 | cdir | 228022 | x | |
25 | Surface solar radiation downward clear-sky | J m**-2 | ssrdc | 228129 | x | |
26 | Surface thermal radiation downward clear-sky | J m**-2 | strdc | 228130 | x | |
27 | Surface runoff | m | sro | 8 | x | |
28 | Sub-surface runoff | m | ssro | 9 | x | |
29 | Snow evaporation | m of water equivalent | es | 44 | x | |
30 | Snowmelt | m of water equivalent | smlt | 45 | x | |
31 | Large-scale precipitation | m | lsp | 142 | x | |
32 | Convective precipitation | m | cp | 143 | x | |
33 | Snowfall | m of water equivalent | sf | 144 | x | |
34 | Evaporation | m of water equivalent | e | 182 | x | |
35 | Runoff | m | ro | 205 | x | |
36 | Total precipitation | m | tp | 228 | x | |
37 | Convective snowfall | m of water equivalent | csf | 239 | x | |
38 | Large-scale snowfall | m of water equivalent | lsf | 240 | x | |
39 | Potential evaporation | m | pev | 228251 | x |
The data values for accumulations in stream=moda (monthly means of daily means) have been scaled to give units "per day". Thus, the hydrological parameters are in units of "m of water per day" and so they should be multiplied by 1000 to convert to kgm-2day-1 or mmday-1. Energy (turbulent and radiative) and momentum fluxes should be divided by 86400 seconds (24 hours) to convert to the commonly used units of Wm-2 and Nm-2, respectively.
Table 4: stream=oper, levtype=sfc: surface and single level parameters: minimum/maximum
count | name | units | shortName | paramId | an | fc |
1 | 10 metre wind gust since previous post-processing | m s**-1 | 10fg | 49 | x | |
2 | Maximum temperature at 2 metres since previous post-processing | K | mx2t | 201 | x | |
3 | Minimum temperature at 2 metres since previous post-processing | K | mn2t | 202 | x | |
4 | Maximum total precipitation rate since previous post-processing | kg m**-2 s**-1 | mxtpr | 228226 | x | |
5 | Minimum total precipitation rate since previous post-processing | kg m**-2 s**-1 | mntpr | 228227 | x |
Table 5: stream=oper/mnth/moda, levtype=sfc: surface and single level parameters: vertical integrals (not available for type=em/es)
count | name | units | shortName | paramId | an | fc |
1 | Vertical integral of mass of atmosphere | kg m**-2 | vima | 162053 | x | x |
2 | Vertical integral of temperature | K kg m**-2 | vit | 162054 | x | x |
3 | Vertical integral of kinetic energy | J m**-2 | vike | 162059 | x | x |
4 | Vertical integral of thermal energy | J m**-2 | vithe | 162060 | x | x |
5 | Vertical integral of potential+internal energy | J m**-2 | vipie | 162061 | x | x |
6 | Vertical integral of potential+internal+latent energy | J m**-2 | vipile | 162062 | x | x |
7 | Vertical integral of total energy | J m**-2 | vitoe | 162063 | x | x |
8 | Vertical integral of energy conversion | W m**-2 | viec | 162064 | x | x |
9 | Vertical integral of eastward mass flux | kg m**-1 s**-1 | vimae | 162065 | x | x |
10 | Vertical integral of northward mass flux | kg m**-1 s**-1 | viman | 162066 | x | x |
11 | Vertical integral of eastward kinetic energy flux | W m**-1 | vikee | 162067 | x | x |
12 | Vertical integral of northward kinetic energy flux | W m**-1 | viken | 162068 | x | x |
13 | Vertical integral of eastward heat flux | W m**-1 | vithee | 162069 | x | x |
14 | Vertical integral of northward heat flux | W m**-1 | vithen | 162070 | x | x |
15 | Vertical integral of eastward water vapour flux | kg m**-1 s**-1 | viwve | 162071 | x | x |
16 | Vertical integral of northward water vapour flux | kg m**-1 s**-1 | viwvn | 162072 | x | x |
17 | Vertical integral of eastward geopotential flux | W m**-1 | vige | 162073 | x | x |
18 | Vertical integral of northward geopotential flux | W m**-1 | vign | 162074 | x | x |
19 | Vertical integral of eastward total energy flux | W m**-1 | vitoee | 162075 | x | x |
20 | Vertical integral of northward total energy flux | W m**-1 | vitoen | 162076 | x | x |
21 | Vertical integral of eastward ozone flux | kg m**-1 s**-1 | vioze | 162077 | x | x |
22 | Vertical integral of northward ozone flux | kg m**-1 s**-1 | viozn | 162078 | x | x |
23 | Vertical integral of divergence of cloud liquid water flux | kg m**-2 s**-1 | vilwd | 162079 | x | x |
24 | Vertical integral of divergence of cloud frozen water flux | kg m**-2 s**-1 | viiwd | 162080 | x | x |
25 | Vertical integral of divergence of mass flux | kg m**-2 s**-1 | vimad | 162081 | x | x |
26 | Vertical integral of divergence of kinetic energy flux | W m**-2 | viked | 162082 | x | x |
27 | Vertical integral of divergence of thermal energy flux | W m**-2 | vithed | 162083 | x | x |
28 | Vertical integral of divergence of moisture flux | kg m**-2 s**-1 | viwvd | 162084 | x | x |
29 | Vertical integral of divergence of geopotential flux | W m**-2 | vigd | 162085 | x | x |
30 | Vertical integral of divergence of total energy flux | W m**-2 | vitoed | 162086 | x | x |
31 | Vertical integral of divergence of ozone flux | kg m**-2 s**-1 | viozd | 162087 | x | x |
32 | Vertical integral of eastward cloud liquid water flux | kg m**-1 s**-1 | vilwe | 162088 | x | x |
33 | Vertical integral of northward cloud liquid water flux | kg m**-1 s**-1 | vilwn | 162089 | x | x |
34 | Vertical integral of eastward cloud frozen water flux | kg m**-1 s**-1 | viiwe | 162090 | x | x |
35 | Vertical integral of northward cloud frozen water flux | kg m**-1 s**-1 | viiwn | 162091 | x | x |
36 | Vertical integral of mass tendency | kg m**-2 s**-1 | vimat | 162092 | x |
Table 7: stream=mnth, levtype=sfc : monthly mean surface and single level and wave parameters: exceptions from Tables 1-6
count | name | units | shortName | paramId | an | fc |
1 | UV visible albedo for direct radiation | (0 - 1) | aluvp | 15 | x | no mean |
2 | UV visible albedo for diffuse radiation | (0 - 1) | aluvd | 16 | x | no mean |
3 | Near IR albedo for direct radiation | (0 - 1) | alnip | 17 | x | no mean |
4 | Near IR albedo for diffuse radiation | (0 - 1) | alnid | 18 | x | no mean |
5 | Magnitude of turbulent surface stress | N m**-2 s | magss | 48 |
| x |
6 | 10 metre wind gust since previous post-processing | m s**-1 | 10fg | 49 | no mean | |
7 | Maximum temperature at 2 metres since previous post-processing | K | mx2t | 201 | no mean | |
8 | Minimum temperature at 2 metres since previous post-processing | K | mn2t | 202 | no mean | |
9 | 10 metre wind speed | m s**-1 | 10si | 207 | x | x |
10 | Maximum total precipitation rate since previous post-processing | kg m**-2 s**-1 | mxtpr | 228226 | no mean | |
11 | Minimum total precipitation rate since previous post-processing | kg m**-2 s**-1 | mntpr | 228227 | no mean | |
12 | Altimeter wave height | m | awh | 140246 | no mean | |
13 | Altimeter corrected wave height | m | acwh | 140247 | no mean | |
14 | Altimeter range relative correction | ~ | arrc | 140248 | no mean | |
15 | 2D wave spectra (single) | m**2 s radian**-1 | 2dfd | 140251 | no mean |
|
Table 8: stream=oper, levtype=pl: pressure level parameters: instantaneous
count | name | units | shortName | paramId | an | fc |
1 | Potential vorticity | K m**2 kg**-1 s**-1 | pv | 60 | x | x |
2 | Specific rain water content | kg kg**-1 | crwc | 75 | x | x |
3 | Specific snow water content | kg kg**-1 | cswc | 76 | x | x |
4 | Geopotential | m**2 s**-2 | z | 129 | x | x |
5 | Temperature | K | t | 130 | x | x |
6 | U component of wind | m s**-1 | u | 131 | x | x |
7 | V component of wind | m s**-1 | v | 132 | x | x |
8 | Specific humidity | kg kg**-1 | q | 133 | x | x |
9 | Vertical velocity | Pa s**-1 | w | 135 | x | x |
10 | Vorticity (relative) | s**-1 | vo | 138 | x | x |
11 | Divergence | s**-1 | d | 155 | x | x |
12 | Relative humidity | % | r | 157 | x | x |
13 | Ozone mass mixing ratio | kg kg**-1 | o3 | 203 | x | x |
14 | Specific cloud liquid water content | kg kg**-1 | clwc | 246 | x | x |
15 | Specific cloud ice water content | kg kg**-1 | ciwc | 247 | x | x |
16 | Fraction of cloud cover | (0 - 1) | cc | 248 | x | x |
Table 9: stream=oper, levtype=pt: potential temperature level parameters: instantaneous
count | name | units | shortName | paramId | an | fc |
1 | Montgomery potential | m**2 s**-2 | mont | 53 | x | |
2 | Pressure | Pa | pres | 54 | x | |
3 | Potential vorticity | K m**2 kg**-1 s**-1 | pv | 60 | x | |
4 | U component of wind | m s**-1 | u | 131 | x | |
5 | V component of wind | m s**-1 | v | 132 | x | |
6 | Specific humidity | kg kg**-1 | q | 133 | x | |
7 | Vorticity (relative) | s**-1 | vo | 138 | x | |
8 | Divergence | s**-1 | d | 155 | x | |
9 | Ozone mass mixing ratio | kg kg**-1 | o3 | 203 | x |
Table 10: stream=oper, levtype=pv: potential vorticity level parameters: instantaneous
count | name | units | shortName | paramId | an | fc |
1 | Potential temperature | K | pt | 3 | x | |
2 | Pressure | Pa | pres | 54 | x | |
3 | Geopotential | m**2 s**-2 | z | 129 | x | |
4 | U component of wind | m s**-1 | u | 131 | x | |
5 | V component of wind | m s**-1 | v | 132 | x | |
6 | Specific humidity | kg kg**-1 | q | 133 | x | |
7 | Ozone mass mixing ratio | kg kg**-1 | o3 | 203 | x |
Table 11: stream=oper, levtype=ml: model level parameters: instantaneous
count | name | units | shortName | paramId | an | fc |
1 | Specific rain water content | kg kg**-1 | crwc | 75 | x | x |
2 | Specific snow water content | kg kg**-1 | cswc | 76 | x | x |
3 | Eta-coordinate vertical velocity | s**-1 | etadot | 77 | x | x |
4 | Geopotential* | m**2 s**-2 | z | 129 | x | x |
5 | Temperature | K | t | 130 | x | x |
6 | U component of wind | m s**-1 | u | 131 | x | x |
7 | V component of wind | m s**-1 | v | 132 | x | x |
8 | Specific humidity | kg kg**-1 | q | 133 | x | x |
9 | Vertical velocity | Pa s**-1 | w | 135 | x | x |
10 | Vorticity (relative) | s**-1 | vo | 138 | x | x |
11 | Logarithm of surface pressure* | ~ | lnsp | 152 | x | x |
12 | Divergence | s**-1 | d | 155 | x | x |
13 | Ozone mass mixing ratio | kg kg**-1 | o3 | 203 | x | x |
14 | Specific cloud liquid water content | kg kg**-1 | clwc | 246 | x | x |
15 | Specific cloud ice water content | kg kg**-1 | ciwc | 247 | x | x |
16 | Fraction of cloud cover | (0 - 1) | cc | 248 | x | x |
*Only archived on level=1.
Table 12: stream=oper/enda/mnth/moda/edmm/edmo, levtype=ml: model level parameters: mean rates
count | name | units | shortName | paramId | an | fc |
---|---|---|---|---|---|---|
1 | Mean temperature tendency due to short-wave radiation | K s**-1 | mttswr | 235001 | x |
Satellite Data
The atmospheric composition satellite retrievals used as input into the CAMS reanalysis are listed below. The following abbreviations are used in Table 1. TC: Total column, TRC: Tropospheric column, PROF: profiles, PC: Partial columns, ColAv: Column average mixing ratio, QR= quality flag given by data providers, SOE: Solar elevation, MODORO: Model orography, PRESS_RL= pressure at bottom of layer, LAT: Latitude.
Table 1: Satellite retrievals of atmospheric composition that were assimilated in the CAMS reanalysis
Parameter | Instrument | Satellite | Product | Period | Data provider/ Version | Blacklist Criteria (i.e. these data are not used) | Averaging kernels used |
---|---|---|---|---|---|---|---|
O3 | SCIAMACHY | Envisat | TC | 20020803-20120408 | ESA, CCI (BIRA)
| QR>0 SOE<6 | no |
O3 | MIPAS | Envisat | PROF | 20030127- 20040326 20050127-20120331 | ESA, NRT ESA, CCI (KIT) | QR>0 for CCI data | no |
O3 | MLS | Aura | PROF | 20040803-20151231 NRT: | NASA, V4 | QR>0 | no |
O3 | OMI | Aura | TC | KNMI reproc: 20041001-20150531 NRT: | KNMI/NASA, V003 | QR>0 SOE<10 | no |
O3 | GOME-2 | Metop-A | TC | 20070123- NRT: | ESA, CCI (BIRA) | QR>0 SOE<10 | no |
O3 | GOME-2 | Metop-B | TC | 201301- NRT: | ESA, CCI (BIRA) | QR>0 SOE<10 | no |
O3 | SBUV/2 | NOAA-14 | PC 13L | 200407-200609 | NASA, v8.6 | QR>0 SOE<6 MODORO > 1000. and PRESS_RL > 450. | |
O3 | SBUV/2 | NOAA-16 | PC 13L | 200301-200706
| NASA, v8.6 | QR>0 SOE<6 MODORO > 1000. and PRESS_RL > 450. | no |
O3 | SBUV/2 | NOAA-17 | PC 13L | 200301-201108
| NASA, v8.6 | QR>0 SOE<6 MODORO > 1000. and PRESS_RL > 450. | no |
O3 | SBUV/2 | NOAA-18 | PC 13L | 200507-201211
| NASA, v8.6 | QR>0 SOE<6 MODORO > 1000. and PRESS_RL > 450. | no |
O3 | SBUV/2 | NOAA-19 | PC 13L | 200903- NRT: | NASA, v8.6 | QR>0 SOE<6 MODORO > 1000. and PRESS_RL > 450. | no |
CO | MOPITT | Terra (783) | TC | 20020101-20151231 NRT: | NCAR, V6 | LAT>65. LAT< -65 QR>0 Night time data over Greenland | yes |
NO2 | SCIAMACHY | Envisat | TRC | 20030101-20101231 20110101-20120409 | KNMI V1p KNMI V2 | QR>0 SOE<6 LAT>60 LAT< -60 | yes |
NO2 | OMI | Aura | TRC | 20041001-20101231 20110101-20121231 0130101 - | KNMI, COl3 KNMI, Domino KNMI NRT | QR>0 SOE<6 LAT>60 LAT< -60 | yes |
NO2 | GOME-2 | Metop-A | TRC | 20070418-20161231 NRT: | AC SAF, GDP4.8 | QR>0 | yes |
NO2 | GOME-2 | Metop-B | TRC | 201301-20161231 NRT: | AC SAF, GDP4.8 | QR>0 | yes |
AOD | AATSR | Envisat | TC | 20021201-20120331 | ESA, CCI (Swansea) | abs(LAT)> 70 | no |
AOD | MODIS | Terra | TC | 20021001-20151231 NRT: | NASA, COl6 | abs(LAT)> 70 | no |
AOD | MODIS | Aqua | TC | 20021001-20151231 NRT: | NASA, Col6 | abs(LAT)> 70 | no |
CO2 | SCIAMACHY | Envisat | ColAv | 20030101-20120324 | ESA CCI (Bremen) | QR>0 | yes |
CO2 | IASI | Metop-A | ColAv | 20070701-20150531 | LMD v8.0 | MODORO > 6000 | yes |
CO2 | IASI | Metop-B | ColAv | ?? | LMD v8.0 | MODORO > 6000 | yes |
CO2 | Tanso | GOSAT | ColAv | 20090601-20131231 | ESA CCI (SRON) | QR>0 | yes |
CH4 | SCIAMACHY | Envisat | ColAv | 20030108-20120408 | ESA CCI (SRON) v7.0 | MODORO > 6000 QR > 0 | yes |
CH4 | IASI | MetoP-A | ColAv | 20070701-20150630 | LMD V8.3 | MODORO > 6000 LAT<-60. and LSMASK = land | yes |
CH4 | IASI | Metop-B | ColAv | ?? | LMD V8.3 | MODORO > 6000 LAT<-60. and LSMASK = land | yes |
CH4 | Tanso | GOSAT | ColAv | 20090601-20131230 | ESA CCI (SRON) | QR > 0 | yes |
Control run
In parallel to the CAMS reanalysis a control run without data assimilation was run that covers the same period as the CAMS reanalysis. This control run uses the same model configuration as the CAMS reanalysis and is made up of 24h long cycling forecasts from 0 UTC. The meteorological initial fields at 0UTC were always taken from the CAMS reanalysis. Comparing the CAMS reanalysis with the control run allows us to identify the impact of the data assimilation.
The control run is available from MARS or WebAPI using expver=gqk3, stream=oper, type=fc.
Guidelines
The following advice is intended to help users understand particular features of the CAMS reanalysis data:
- Users of meteorological data only are advised to use the ERA5 meteorological reanalysis.
Known issues
At the time of writing (2017-10) we are aware of these issues with the CAMS reanalysis:
This list will be updated as we become aware of further issues in the CAMS reanalysis.
How to cite the CAMS Reanalysis
Please acknowledge the use of the CAMS reanalysis as stated in the Copernicus C3S/CAMS License agreement:
"Where the Licensee communicates to the public or distributes or publishes CAMS Information, the Licensee shall inform the recipients of the source of that information by using the following or any similar notice:
Where the Licensee makes or contributes to a publication or distribution containing adapted or modified CAMS Information, the Licensee shall provide the following or any similar notice:
Any such publication or distribution shall state that "neither the European Commission nor ECMWF is responsible for any use that may be made of the information it contains."
References
CAMS reanalysis references will be available from the ECMWF e-Library.
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