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table1
table1
Table 1: Summary of variables and definitions

Variables

Abbreviation

Definition

Surface Incoming Shortwave radiation

SIS

The total incoming shortwave (solar) flux, measured at the Earth’s surface.

Surface Reflected Shortwave radiation

SRS

The total upwelling shortwave flux, measured at the Earth’s surface.

Surface Net Shortwave radiation

SNS

The net downwelling shortwave flux, measured at the Earth’s surface (equal to SIS – SRS).

Surface Downwelling Longwave radiation

SDL

The total downwelling thermal (longwave) flux, measured at the Earth’s surface.

Surface Outgoing Longwave radiation

SOL

The total upwelling thermal flux, measured at the Earth’s surface.

Surface Net Longwave radiation

SNL

The net downwelling thermal flux, measured at the Earth’s surface (equal to SDL-SOL).

Surface Radiation Budget

SRB

The total net downwelling radiative flux, measured at the Earth’s surface (equal to (SIS+SDL) – (SRS+SOL)).


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table2
table2
Table 2: Definition of satellite data provessing levels

Processing level

Definition

Level-1

The full-resolution geolocated radiometric measurements (for each view and each channel), rebinned onto a regular spatial grid.

Level-2

Derived geophysical variables at full input data resolution and location as L1 source data (‘swath data’)

Level-3

Geophysical variables mapped on uniform grid, derived from multiple satellites/radiometers, averaged over a specific time, such as monthly and daily means.


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table3
table3
Table 3: Definition of special terms

Term

Definition

Brokered product

The C3S Climate Data Store (CDS) provides both datasets produced within the C3S and so-called brokered products. The latter are existing products (data) produced under an independent programme or project which are made available through the CDS.

TCDR

It is a consistently-processed time series of a geophysical variable of sufficient length and quality.

ICDR

An Interim Climate Data Record (ICDR) denotes an extension of TCDR, processed with a processing system as consistent as possible to the generation of TCDR.

User requirements

Depending on the different user needs, different product requirements may be applied and they are used to evaluate validation results. This document uses three accuracy categories:

Optimal: Ideal accuracy which meets requirements for global and regional climate analysis.

Target: Accuracy that meets requirements for global and regional climate modelling.

Threshold: Minimum accuracy that meets requirements for operational climate monitoring and climate services

Scope of the document

This document is the Product Quality Assessment Report (PQAR) for CLARA Product family CDR. This document provides validation results for the Climate Data Record (CDR) of the Surface Radiation Budget.

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table4
table4
Table 4: Licence overview of the CLARA product family Surface Radiation Products, including products SIS, SDL, SOL, SRS and Net Fluxes. Products marked in blue are taken from the CLARA-A2.1 TCDR and the remaining products are Extra Data Products produced in the C3S project.



Year



CDR Type

CLARA Product Family

CLARA-A2.1Extra data products
SIS

SDL, SOL

Longwave fluxes

SRSNet fluxes

1982 – 2018

TCDR

CM SAF (CLARA-A2.1)

CM SAF

(CLARA-A2.1)

C3S

C3S

2019 – 06/2021

ICDR

CM SAF (CLARA-A2.1 ICDR)

C3S

C3S

C3S

The longwave fluxes are not included in the CM SAF ICDR plans for the current phase. To ensure the dataset integrity and continuity, they are calculated within the C3S for the ICDR part. As such, the longwave fluxes change their licence affiliation, namely they are provided within the C3S project for the ICDR part (2019-06/2021) and are brokered from EUMETSAT’s CM SAF for the TCDR part (1982 to 2018).

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table5
table5
Table 5: Summary of the accuracy of the brokered CLARA-A2.1 data products; [D1] Section 1 for SIS, SOL, SDL TCDR; [D7] Section 1 for SIS ICDR. The accuracy estimation of SOL and SDL ICDR extensions is performed within the C3S using the algorithms developed by CM SAF

Product Name

Dataset accuracy [W/m²]

TCDR

ICDR

SIS monthly means

9.5

8.7

SIS daily means

18.6

22.1

SDL

8.1

7.2

SOL

13.8

9.9

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table6
table6
Table 6: Summary of the accuracy of the extra data products developed within the C3S.

Product Name

Propagated accuracy [W/m²]

TCDR

ICDR

SRS

7.8

6.6

SNS

13.0

12.0

SNL

21.9

17.1

SRB

34.9

29.1


1. Product validation methodology

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table2_1
table2_1
Table 2-1: Summary of validation results for SDL and SOL ICDR datasets (2019-06/2021)

Dataset

Number of months analysed

BSRB Stations

Abs.bias, W/m2

Std.Dev, W/m2

SDL, ICDR

465

21

7.2

9.32

SOL, ICDR

253

9

9.9

13.45

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section2_2
section2_2
2.2 Validation results for CLARA family extra data products (SRS, SNS, SNL, SRB)

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table2_2
table2_2
Table 2-2: Summary of the accuracy of the brokered CLARA-A2.1 data products, [D1] Section 1 for SIS, SOL, SDL TCDR, [D7] Section 1 for SIS ICDR. The accuracy estimation of SOL and SDL ICDR extensions is performed within the C3S using the algorithms developed by CM SAF

Product Name

Dataset accuracy [W/m2]

TCDRICDR

SIS monthly means

9.5

8.7

SIS daily means

18.6

22.1

SDL

8.1

7.2

SOL

13.8

9.9


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table2_3
table2_3
Table 2-3: Summary of the accuracy of the extra data products

Product Name

Propagated accuracy [W/m2]

TCDRICDR

SRS

7.8

6.6

SNS

13.0

12.0

SNL

21.9

17.1

SRB

34.9

29.1

3. Application(s) specific assessments

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table3_1
table3_1
Table 3-1: Summary of achieved accuracy and stability of the brokered CLARA-A2.1 data products, Section 1 [D1 for SIS, SOL, SDL TCDR, D7 for SIS ICDR]. The accuracy estimation of SOL and SDL ICDR extensions is performed within the C3S using the algorithms developed by CM SA

Product Name

Propagated accuracy [W/m2]

Threshold/ Target/ Optimal accuracies [W/m²]

Stability [W/m²/dec]

TCDRICDR

SIS monthly means

9.5

8.7

15 / 10 / 8

2

SIS daily means

18.6

22.1

30 / 20 / 15

2

SDL

8.1

7.2

15 / 10 / 8

3

SOL

13.77

9.9

15 / 10 / 8

3

At the time (~2010) when requirements for the CLARA-A2 data record had to be defined in [D2], there was no guidance available for surface radiation products in the available GCOS documents. Instead, requirements had to be set in a dialogue with experts and potential users (e.g., in association with CM SAF User Workshops).

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table7
table7
Table 7: Station-wise validation results for SDL, 2019-06/2021

Full name

Abbreviation

# of months

Mean BSRN, W/m2

Mean CLARA, W/m2

AbsBias

RMSE

Percentage above 15 W/m2

Ny Alesund

nya

30

257.0

241.7

15.31

16.11

46.7

Toravere

tor

22

305.0

300.1

5.10

5.90

0.0

Lindenberg

lin

12

318.5

318.0

3.25

4.02

0.0

Cabauw

cab

30

320.1

315.1

5.01

5.63

0.0

Palaiseu Cedex

pal

24

322.3

317.6

4.76

5.49

0.0

Sioux Falls

sxf

11

305.5

291.9

13.61

14.05

54.5

Sapporo

sap

23

314.0

307.9

6.31

8.08

4.3

Cener

cnr

30

320.1

302.6

17.48

18.19

70.0

Rock Springs

psu

16

312.5

299.7

12.74

13.30

25.0

Bondville

bon

16

315.2

308.3

7.02

7.89

0.0

Langley Research

lrc

30

338.9

343.2

4.74

5.70

0.0

Billings

bil

7

338.2

323.6

14.64

15.17

42.9

Great Plains

e13

7

338.1

324.5

13.61

13.95

28.6

Tateno

tat

30

337.8

340.4

2.64

3.10

0.0

Goodwin Creek

gcr

16

347.5

348.8

4.88

6.03

6.2

Fukuoka

fua

30

347.1

345.7

1.96

2.24

0.0

Ishigakijima

ish

30

404.9

408.9

4.15

5.14

0.0

Minamitorishima

mnm

30

402.4

403.4

1.99

2.46

0.0

Gobabeb

gob

30

342.0

331.3

10.85

11.80

20.0

Florinopolis

flo

30

385.1

376.4

8.64

8.85

0.0

De Aar

daa

11

300.4

301.2

1.60

1.90

0.0

Total

tot

465

335.8

330.6

7.21

9.32

12.5


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table8
table8
Table 8: Station-wise validation results for SOL, 2019-06/2021

Full name

Abbreviation

# of months

Mean BSRN, W/m2

Mean CLARA, W/m2

AbsBias

RMSE

Percentage above 15 W/m2

Cabauw

cab

30

369.4

368.8

3.01

4.27

3.3

Concordia Station

dom

26

144.3

141.7

11.69

14.87

23.1

Gobabeb

gob

30

444.6

448.9

6.45

7.48

0.0

Georg von Neumayer

gvn

25

244.5

258.0

13.59

15.21

40.0

Ny Alesund

nya

30

290.4

285.2

13.95

19.33

26.7

Payerne

pay

30

367.7

344.4

23.26

23.64

100.0

Syowa

syo

30

265.0

264.1

3.09

3.95

0.0

Toravere

tor

22

355.9

347.8

8.08

9.50

13.6

Tateno

tat

30

391.3

396.9

5.98

7.21

0.0

Total

tot

253

322.3

320.3

9.86

13.45

22.9


Info
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This document has been produced with funding by the European Union in the context of the Copernicus Climate Change Service (C3S), operated by the European Centre for Medium-Range Weather Forecasts on behalf on the European Union (Contribution Agreement signed on 22/07/2021).

All information in this document is provided "as is" and no guarantee of warranty is given that the information is fit for any particular purpose.

The users thereof use the information at their sole risk and liability. For the avoidance of all doubt, the European Commission and the European Centre for Medium-Range Weather Forecasts have no liability in respect of this document, which is merely representing the author's view.

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