CAMS Reanalysis data documentation

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)	Boussetta et al. (2013), Agusti-Panareda et al. (2014) Agusti-Panareda et al. (2016)
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	m2 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	m3 m-3	swvl1	39	x	x
31	Volumetric soil water layer 2	m3 m-3	swvl2	40	x	x
32	Volumetric soil water layer 3	m3 m-3	swvl3	41	x	x
33	Volumetric soil water layer 4	m3 m-3	swvl4	42	x	x
34	Convective available potential energy	J kg**-1	cape	59	x	x
35	Leaf area index, low vegetation	m2 m-2	lai_lv	66	x	x
36	Leaf area index, high vegetation	m2 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)	m2 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 m2 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	m2 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	m2 s-2	mont	53	x
2	Pressure	Pa	pres	54	x
3	Potential vorticity	K m2 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	m2 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*	m2 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 NRT: 20130101 -	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:
'Generated using Copernicus Atmosphere Monitoring Service Information [Year]'.
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:
'Contains modified Copernicus Atmosphere Monitoring Service Information [Year]';

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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