Parameters forming part of the Climate Change Adaptation Digital Twin (DT) are detailed here.

See the Climate DT Phase 1 data catalogue page for more details on data availability and accessing the data.

Please note that additional keys are often necessary in addition to the base parameter definition below. For example for:

  • statistical processing (e.g. time interval of processing)
  • level information (e.g. a given pressure level, say 300 hPa)

Legend:

Parameter ready for GRIB2 archiving

Contents:

Instantaneous encodings

Fields on a single level or surface

Atmosphere (levtype sfc)

Time resolution: Hourly (time=0000/0100/...)

param Id

name

short Name

units

discipline

parameter Category

parameter Number

type Of Level

level

type Of Statistical Processing

local Tables Version

comments

78

Total column cloud liquid water

tclw

kg m**-2

0

1

69

entireAtmosphere

-



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

79

Total column cloud ice water

tciw

kg m**-2

0

1

70

entireAtmosphere

-



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

130

Temperature

t

K

0

0

0

surface

-



model=ICON
HEALPIX

134

Surface pressure

sp

Pa

0

3

0

surface

-



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

137

Total column vertically-integrated water vapour

tcwv

kg m**-2

0

1

64

entireAtmosphere

-



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

141

Snow depth

sd

m of water equivalent

0

1

254

surface

-


1

model=IFS-NEMO/IFS-FESOM
HEALPIX. Depth of snow with conversion to water. ECMWF unit.

148

Charnock

chnk

Numeric

10

0

76

surface

-



model=IFS-NEMO/IFS-FESOM
HEALPIX

151

Mean sea level pressure

msl

Pa

0

3

0

meanSea

-



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

159

Boundary layer height

blh

m

0

3

18

surface

-



model=IFS-NEMO/IFS-FESOM
HEALPIX

164

Total cloud cover

tcc

(0 - 1)

0

6

192

entireAtmosphere

-


1

model=IFS-NEMO/IFS-FESOM
HEALPIX.
ECMWF unit.

165

10 metre U wind component

10u

m s**-1

0

2

2

heightAboveGround

10



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

166

10 metre V wind component

10v

m s**-1

0

2

3

heightAboveGround

10



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

167

2 metre temperature

2t

K

0

0

0

heightAboveGround

2



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

168

2 metre dewpoint temperature

2d

K

0

0

6

heightAboveGround

2



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

186

Low cloud cover

lcc

(0 - 1)

0

6

193

lowCloudLayer

-


1

model=IFS-NEMO/IFS-FESOM
HEALPIX.
ECMWF unit.

187

Medium cloud cover

mcc

(0 - 1)

0

6

194

mediumCloudLayer

-


1

model=IFS-NEMO/IFS-FESOM
HEALPIX.
ECMWF unit.

188

High cloud cover

hcc

(0 - 1)

0

6

195

highCloudLayer

-


1

model=IFS-NEMO/IFS-FESOM
HEALPIX.
ECMWF unit.

235

Skin temperature

skt

K

0

0

17

surface

-



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

228164

Total Cloud Cover

tcc

%

0

6

1

entireAtmosphere

-



model=ICON
HEALPIX.
WMO unit.

260048

Total precipitation rate

tprate

kg m**-2 s**-1

0

1

52

surface

-



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

Time resolution: Daily (date=YYYYMMDD,time=0000)

param Id

name

short Name

units

discipline

parameter Category

parameter Number

type Of Level

level

type Of Statistical Processing

local Tables Version

comments

129

Geopotential

z

m**2 s**-2

0

3

4

surface

-



model=IFS-NEMO/IFS-FESOM
HEALPIX. Geopotential at surface gives orography. This output of constant fields is needed by applications.
172Land-sea masklsm(0 - 1)200surface-

model=IFS-NEMO/IFS-FESOM
HEALPIX. This output of constant fields is needed by applications.

Fields on pressure levels (levtype pl)

Time resolution: Hourly (time=0000/0100/...)

19 pressure levels: (1000, 925, 850, 700, 600, 500, 400, 300, 250, 200, 150, 100, 70, 50, 30, 20, 10, 5, 1)

param Id

name

short Name

units

discipline

parameter Category

parameter Number

type Of Level

level

type Of Statistical Processing

local Tables Version

comments

60

Potential vorticity

pv

K m**2 kg**-1 s**-1

0

2

14

isobaricInhPa

<as-above>



model=IFS-NEMO/IFS-FESOM
HEALPIX

129

Geopotential

z

m**2 s**-2

0

3

4

isobaricInhPa

<as-above>



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

130

Temperature

t

K

0

0

0

isobaricInhPa

<as-above>



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

131

U component of wind

u

m s**-1

0

2

2

isobaricInhPa

<as-above>



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

132

V component of wind

v

m s**-1

0

2

3

isobaricInhPa

<as-above>



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

133

Specific humidity

q

kg kg**-1

0

1

0

isobaricInhPa

<as-above>



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

135

Vertical velocity

w

Pa s**-1

0

2

8

isobaricInhPa

<as-above>



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX
This is in "Pa s-1" not "m s-1".

157

Relative humidity

r

%

0

1

1

isobaricInhPa

<as-above>



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

246

Specific cloud liquid water content

clwc

kg kg**-1

0

1

83

isobaricInhPa

<as-above>



model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

Fields on model levels

Sea-ice/snow/soil (levtype sol)

Time resolution: Hourly (time=0000/0100/...)
5 model levels: (1, ..., 5)

param Id

name

short Name

units

discipline

parameter Category

parameter Number

type Of Level

level

type Of Statistical Processing

local Tables Version

comments

228141

Snow depth water equivalent

sd

kg m**-2

0

1

60

snow

<as-above>



model=IFS-NEMO/IFS-FESOM
HEALPIX. Depth of snow with conversion to water. WMO unit.

Fields on height levels (levtype hl)

Time resolution: Hourly (time=0000/0100/...)

Currently 100m only. These are only for height levels >10m to preserve backwards compatibility with longstanding model fields (2t, 10u, 10v,...)

param Id

name

short Name

units

discipline

parameter Category

parameter Number

type Of Level

level

type Of Statistical Processing

local Tables Version

comments

228246

100 metre U wind component

100u

m s**-1

0

2

2

heightAboveGround

100



model=IFS-NEMO/IFS-FESOM
HEALPIX

228247

100 metre V wind component

100v

m s**-1

0

2

3

heightAboveGround

100



model=IFS-NEMO/IFS-FESOM
HEALPIX

Mean encodings

Fields on a single level or surface

Sea ice (levtype o2d)

Time resolution: 1 x daily (date=YYYYMMDD,time=0000)

param Id

name

short Name

units

discipline

parameter Category

parameter Number

type Of Level

level

type Of Statistical Processing

local Tables Version

comments

263000

Time-mean sea ice thickness

avg_sithick

m

10

2

1

iceLayerOnWater

-

0


model=ICON/IFS-NEMO/IFS-FESOM
O2D

263001

Time-mean sea ice area fraction

avg_siconc

Fraction

10

2

0

iceLayerOnWater

-

0


model=ICON/IFS-NEMO/IFS-FESOM
O2D

263003

Time-mean eastward sea ice velocity

avg_siue

m s**-1

10

2

4

iceLayerOnWater

-

0


model=ICON/IFS-NEMO/IFS-FESOM
O2D

263004

Time-mean northward sea ice velocity

avg_sivn

m s**-1

10

2

5

iceLayerOnWater

-

0


model=ICON/IFS-NEMO/IFS-FESOM
O2D

263008

Time-mean sea ice volume per unit area

avg_sivol

m**3 m**-2

10

2

15

iceLayerOnWater

-

0


model=IFS-NEMO/IFS-FESOM
O2D

263009

Time-mean snow volume over sea ice per unit area

avg_snvol

m**3 m**-2

10

2

16

snowLayerOverIceOnWater

-

0


model=ICON/IFS-NEMO/IFS-FESOM
O2D

263021

Time-mean X-component of sea ice velocity

avg_six

m s**-1

10

2

24

iceLayerOnWater

-

0


model=IFS-NEMO/IFS-FESOM
O2D

263022

Time-mean Y-component of sea ice velocity

avg_siy

m s**-1

10

2

25

iceLayerOnWater

-

0


model=IFS-NEMO/IFS-FESOM
O2D

Ocean (levtype o2d)

Time resolution: 1 x daily (date=YYYYMMDD,time=0000)

param Id

name

short Name

units

discipline

parameter Category

parameter Number

type Of Level

level

type Of Statistical Processing

local Tables Version

comments

263100

Time-mean sea surface practical salinity

avg_sos

g kg**-1

10

3

3

oceanSurface-

0


model=IFS-NEMO/IFS-FESOM
O2D

263101

Time-mean sea surface temperature

avg_tos

K

10

3

0

oceanSurface-

0


model=IFS-NEMO/IFS-FESOM
O2D

263114

Time-mean ocean mixed layer depth defined by sigma theta 0.03 kg m-3

avg_mlotst030

m

10

4

14

mixedLayerDepthByDensity0.03

0


model=ICON
O2D

263121

Time-mean vertically-integrated heat content in the upper 300 m

avg_hc300m

J m**-2

10

4

22

depthBelowSeaLayer300

0


model=IFS-NEMO/IFS-FESOM
O2D

263122

Time-mean vertically-integrated heat content in the upper 700 m

avg_hc700m

J m**-2

10

4

22

depthBelowSeaLayer700

0


model=IFS-NEMO/IFS-FESOM
O2D

263124

Time-mean sea surface height

avg_zos

m

10

3

1

oceanSurface-

0


model=ICON/IFS-NEMO/IFS-FESOM
O2D

Fields on model levels

Ocean (levtype o3d)

Time resolution: 1 x daily (date=YYYYMMDD,time=0000)
NEMO: 75 model levels: (1, ..., 75)
FESOM: 72 model levels: (1, ..., 72)

param Id

name

short Name

units

discipline

parameter Category

parameter Number

type Of Level

level

type Of Statistical Processing

local Tables Version

comments

263500

Time-mean sea water practical salinity

avg_so

g kg**-1

10

4

21

oceanModelLayer<as-above>

0


model=ICON/IFS-NEMO/IFS-FESOM
O3D

263501

Time-mean sea water potential temperature

avg_thetao

K

10

4

18

oceanModelLayer<as-above>

0


model=ICON/IFS-NEMO/IFS-FESOM
O3D

263505

Time-mean northward sea water velocity

avg_von

m s**-1

10

4

24

oceanModelLayer<as-above>

0


model=ICON/IFS-NEMO/IFS-FESOM
O3D

263506

Time-mean eastward sea water velocity

avg_uoe

m s**-1

10

4

23

oceanModelLayer<as-above>

0


model=ICON/IFS-NEMO/IFS-FESOM
O3D

263507

Time-mean upward sea water velocity

avg_wo

m s**-1

10

4

27

oceanModel<as-above>

0


model=ICON/IFS-NEMO/IFS-FESOM
O3D

Accumulated encodings

Fields on a single level or surface

Atmosphere (levtype sfc)

Time resolution: Hourly accumulation (time=0000/0100/...)

param Id

name

short Name

units

discipline

parameter Category

parameter Number

type Of Level

level

type Of Statistical Processing

local Tables Version

comments

8

Surface runoff

sro

m

2

0

202

surface

-

1

1

model=IFS-NEMO/IFS-FESOM
HEALPIX
ECMWF unit

9

Sub-surface runoff

ssro

m

2

0

204

surface

-

1

1

model=IFS-NEMO/IFS-FESOM
HEALPIX
ECMWF unit

144

Snowfall

sf

m of water equivalent

0

1

198

surface

-

1

1

model=IFS-NEMO/IFS-FESOM
HEALPIX
ECMWF unit

146

Surface sensible heat flux

sshf

J m**-2

0

0

11

surface

-

1


model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

147

Surface latent heat flux

slhf

J m**-2

0

0

10

surface

-

1


model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

169

Surface short-wave (solar) radiation downwards

ssrd

J m**-2

0

4

7

surface

-

1


model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

175

Surface long-wave (thermal) radiation downwards

strd

J m**-2

0

5

3

surface

-

1


model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

176

Surface net short-wave (solar) radiation

ssr

J m**-2

0

4

9

surface

-

1


model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

177

Surface net long-wave (thermal) radiation

str

J m**-2

0

5

5

surface

-

1


model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

178

Top net short-wave (solar) radiation

tsr

J m**-2

0

4

9

nominalTop

-

1


model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

179

Top net long-wave (thermal) radiation

ttr

J m**-2

0

5

5

nominalTop

-

1


model=ICON/IFS-NEMO/IFS-FESOM
HEALPIX

180

Time-integrated eastward turbulent surface stress

ewss

N m**-2 s

0

2

62

surface

-

1


model=IFS-NEMO/IFS-FESOM
HEALPIX

181

Time-integrated northward turbulent surface stress

nsss

N m**-2 s

0

2

63

surface

-

1


model=IFS-NEMO/IFS-FESOM
HEALPIX

182

Evaporation

e

m of water equivalent

0

1

199

surface

-

1

1

model=IFS-NEMO/IFS-FESOM
HEALPIX
ECMWF unit

212

TOA incident short-wave (solar) radiation

tisr

J m**-2

0

4

7

nominalTop

-

1


model=IFS-NEMO/IFS-FESOM
HEALPIX

228

Total precipitation

tp

m

0

1

193

surface

-

1

1

model=IFS-NEMO/IFS-FESOM
HEALPIX
ECMWF unit

260654

Time-integrated eastward turbulent surface stress due to surface roughness

etsssr

N m**-2 s

0

2

66

surface

-

1


model=ICON
HEALPIX

260655

Time-integrated northward turbulent surface stress due to surface roughness

ntsssr

N m**-2 s

0

2

67

surface

-

1


model=ICON
HEALPIX

Maximum encodings

There are no maximum encodings for this dataset.

Minimum encodings

There are no minimum encodings for this dataset.