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Here we document the ERA5-Land dataset, which , eventually, will cover covers the same period as ERA5, January 1950 to near real time (NRT). ERA5-Land data released so far covers the period from 1950 to 2-3 months before the present. In addition, the facility to deliver timely close to Near-Real-Time (NRT) updates is being implemented and it will be made available shortly. This ERA5-Land timely updates NRT facility (hereafter called ERA5-LandT) will be synchronized with the timely updates those of the ERA5 climate reanalysis (ERA5T).

ERA5-Land is a replay of the land component of the ERA5 climate reanalysis, but forced by meteorological fields from ERA5. Note that ERA5-Land always uses forcing fields based on the final release of ERA5 (i.e., expver=0001). ERA5-Land comes with a series of improvements making it more accurate for all types of land applications. In particular, ERA5-Land runs at enhanced resolution (9 km vs 31 km in ERA5). The temporal frequency of the output is hourly and the fields are masked for all oceans, making them lighter to handle. Click this link here for comparison of the ERA5-Land features against other ECMWF reanalyses.

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Table 0: the mapping, for forecasts, between MARS date, time and step and the CDS date and time

CDS

date  time

MARS

date      time  step


CDS

date  time

MARS

date   time  step

date  00

date-1     0        24


date  12

date        0     12

date  01

date        0        1


date  13

date        0      13

date  02

date        0        2


date  14

date        0      14

date  03

date        0        3


date  15

date        0      15

date  04

date        0        4


date  16

date        0      16

date  05

date        0        5


date  17

date        0      17

date  06

date        0        6


date  18

date        0      18

date  07

date        0        7


date  19

date        0      19

date  08

date        0        8


date  20

date        0      20

date  09

date        0        9


date  21

date        0      21

date  10

date        0        10


date  22

date        0      22

date  11

date        0        11


date  23

date        0      23

Spatial grid

The ERA5-Land HRES dataset has been produced at a resolution of 9 km, (~0.08°) and in a (octahedral) reduced Gaussian grid (represented as TCo1279). Currently, the uncertainty of the fields is to be obtained from the ERA5 EDA dataset, which has a resolution of 62km (~0.56°).

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Table 1: surface parameters: invariants (in time)

name

units

shortName

paramId

GRIB1GRIB2netCDF4

Geopotential (GRIB version 1)

Geopotential (GRIB version 2)

Geopotential (netCDF4)

m**2 s**-2z129xx



x

Lake cover (GRIB version 2)

Lake cover (netCDF4)

(0-1)cl26
xx

Land-sea mask (GRIB version 2)

Land-sea mask (netCDF4)

(0-1)lsm172
x


x

Low vegetation cover (GRIB version 2)

Low vegetation cover (netCDF4)

(0 - 1)

cvl

27


xx

High vegetation cover (GRIB version 2)

High vegetation cover (netCDF4)

(0 - 1)

cvh

28


xx

Surface roughness (GRIB version 1)

Surface roughness (netCDF4)

msr173x
x

Soil type (GRIB version 2)

Soil type(netCDF4)

~

slt

43


xx

Type of low vegetation (GRIB version 1)

Type of low vegetation (netCDF4)

~

tvl

29

x


x

Type of high vegetation (GRIB version 1)

Type of high vegetation (netCDF4)

~

tvh

30

x


x

Table 2: stream=oper/mnth/moda, levtype=sfc: surface parameters: instantaneous


name

units

Variable name in CDS

shortName

paramId

an

fc

GRIB1GRIB2Used as forcing field
1

Lake mix-layer temperature

K

lake_mix_layer_temperature

lmlt

228008

x


x

2

Lake mix-layer depth

m

lake_mix_layer_depth

lmld

228009

x


x

3

Lake bottom temperature

K

lake_bottom_temperature

lblt

228010

x


x

4

Lake total layer temperature

K

lake_total_layer_temperature

ltlt

228011

x


x

5

Lake shape factor

dimensionless

lake_shape_factor

lshf

228012

x


x

6

Lake ice temperature

K

lake_ice_temperature

lict

228013

x


x

7

Lake ice depth

m

lake_ice_depth

licd

228014

x


x

8Snow cover%snow_coversnowc260038
x
x
9Snow depthmsnow_depthsde3066
x
x
10

Snow albedo

(0 - 1)

snow_albedo

asn

32

x


x

11

Snow density

kg m**-3

snow_density

rsn

33

x


x

12

Volumetric soil water layer 11

m**3 m**-3

volumetric_soil_water_layer_1

swvl1

39

x


x

13

Volumetric soil water layer 21

m**3 m**-3

volumetric_soil_water_layer_2

swvl2

40

x


x

14

Volumetric soil water layer 31

m**3 m**-3

volumetric_soil_water_layer_3

swvl3

41

x


x

15

Volumetric soil water layer 41

m**3 m**-3

volumetric_soil_water_layer_4

swvl4

42

x


x

16

Leaf area index, low vegetation2

m**2 m**-2

leaf_area_index_low_vegetation

lai_lv

66


x

x

17

Leaf area index, high vegetation2

m**2 m**-2

leaf_area_index_high_vegetation

lai_hv

67


x

x

18

Surface pressure

Pa

surface_pressure

sp

134


x

x
x
19

Soil temperature level 11

K

soil_temperature_level_1

stl1

139

x


x

20

Snow depth water equivalent

m of water equivalent

snow_depth_water_equivalent

sd

141

x


x

21

10 metre U wind component

m s**-1

10m_u_component_of_wind

u10

165


x

x
x
22

10 metre V wind component

m s**-1

10m_v_component_of_wind

v10

166


x

x
x
23

2 metre temperature

K

2m_temperature

2t

167


x

x

24

2 metre dewpoint temperature

K

2m_dewpoint_temperature

2d

168


x

x

25

Soil temperature level 21

K

soil_temperature_level_2

stl2

170

x


x

26

Soil temperature level 31

K

soil_temperature_level_3

stl3

183

x


x

27

Skin reservoir content

m of water equivalent

skin_reservoir_content

src

198

x





28

Skin temperature

K

skin_temperature

skt

235

x


x

29

Soil temperature level 41

K

soil_temperature_level_4

stl4

236

x


x

30

Temperature of snow layer

K

temperature_of_snow_layer

tsn

238

x


x

31

Forecast albedo

(0 - 1)

forecast_albedo

fal

243


x

x

1

Expand
titleSoil levels


LayerRange
Layer 10 - 7 cm
Layer 27 - 28 cm
Layer 328 - 100 cm
Layer 4100 - 289 cm


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Table 3: stream=oper/mnth/moda, levtype=sfc: surface parameters: accumulations


name

units

Variable name in CDS

shortName

paramId

an

fc

GRIB1GRIB2Used as forcing field
1

Surface runoff

m

surface_runoff

sro

8


x

x

2

Sub-surface runoff

m

sub_surface_runoff

ssro

9


x

x

3

Snowmelt

m of water equivalent

snowmelt

smlt

45


x

x

4

Snowfall

m of water equivalent

snowfall

sf

144


x

x
x
5Surface sensible heat fluxJ m**-2surface_sensible_heat_fluxsshf146
xx

6Surface latent heat fluxJ m**-2surface_latent_heat_fluxslhf147
xx

7Surface solar radiation downwardsJ m**-2surface_solar_radiation_downwardsssrd169
xx
x
8Surface thermal radiation downwardsJ m**-2surface_thermal_radiation_downwardsstrd175
xx
x
9Surface net solar radiationJ m**-2surface_net_solar_radiationssr176
xx
x
10Surface net thermal radiationJ m**-2surface_net_thermal_radiationstr177
xx
x
11

Total Evaporation

m of water equivalent

total_evaporation

e

182


x

x

12

Runoff

m

runoff

ro

205


x

x

13

Total precipitation

m

total_precipitation

tp

228


x

x
x
14Evaporation from the top of canopym of water equivalentevaporation_from_the_top_of_canopyevatc228100
x
x
15Evaporation from bare soilm of water equivalentevaporation_from_bare_soilevabs228101
x
x
16Evaporation from open water surfaces excluding oceansm of water equivalentevaporation_from_open_water_surfaces_excluding_oceansevaow228102
x
x
17Evaporation from vegetation transpirationm of water equivalentevaporation_from_vegetation_transpirationevavt228103
x
x
18

Potential evaporation

m

potential_evaporation

pev

228251


x

x

Accumulations are described in section ERA5-Land: data documentation#accumulations. The accumulations in monthly means (stream=moda/mnth) are described in section monthly means

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