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Contributors: E. Carboni (UKRI-STFC RAL Space), G.E. Thomas (UKRI-STFC RAL Space)produced in

Issued by: STFC RAL Space (UKRI-STFC) / Elisa Carboni

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titleClick here to expand the list of related documents (D1-D3D5)


Reference ID

Document

D1

Product Validation and Intercomparison Report (PVIR), v6.1. ESA Cloud_cci.

https://climate.esa.int/media/documents/Cloud_Product-Validation-and-Intercomparison-Report-PVIR_v6.0.pdf

Last accessed on 28/02/2023

D2

Karlsson, K.-G., et al., (2023) C3S Earth Radiation Budget

CDRs releases until 2021: Target Requirements and Gap Analysis Document. Copernicus Climate Change Service.

Document ref. C3S2_D312a_Lot1.3.1.1-2021_TRGAD-ERB_v1.1

ERB: Target Requirements and Gap Analysis Document

Last accessed on 31/05/2023

D3

Thomas, G. (2023) C3S Earth Radiation Budget

Service: Algorithm Theoretical Basis Document. Copernicus Climate Change Service,

Document ref C3S2_D312a_Lot1.2.2.2-v4.0_202305_ATBD_CCIEarthRadiationBudget_v1.2

ERB CCI-ICDR: Algorithm Theoretical Basis Document (ATBD)

Last accessed on 31/05/2023

Acronyms

D4

Meirink, J.F., et al, (2023) C3S cross ECV document

Service: Key Performance Indicators (KPIs). Copernicus Climate Change Service,

Document ref. C3S2_D312a_Lot1.3.7.1_202303_Unified_KPI_Approach_v1.0

Key Performance Indicators (KPIs)

Last accessed: 23.08.2023

D5

Carboni, E., Thomas, G. (2022) C3S Earth Radiation Budget

Service: Product Quality Assurance Document. Copernicus Climate Change Service,

Document ref. C3S2_D312a_Lot1.1.2.3-v4.0_202301_PQAD_CCIEarthRadiationBudget_v1.1

ERB CCI ICDR: Product Quality Assurance Document

Last accessed on 31/05/2023


Acronyms

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Acronym

Definition

AATSR

Advanced Along-Track Scanning Radiometer

ATBD

Algorithm Theoretical Basis Document

ATSR

Along-Track Scanning Radiometer

C3S

Copernicus Climate Change Service

CCI

Climate Change Initiative

CDR

Climate Data Record

CERES

Clouds and Earth Radiation Energy System

ENVISAT

Environmental

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Acronym

Definition

AATSR

Advanced Along-Track Scanning Radiometer

ATBD

Algorithm Theoretical Basis Document

ATSR

Along-Track Scanning Radiometer

C3S

Copernicus Climate Change Service

CCI

Climate Change Initiative

CDR

Climate Data Record

CERES

Clouds and Earth Radiation Energy System

ENVISAT

Environmental Satellite

ERS

European Research Satellite

ESA

European Space Agency

ICDR

Interim CDR

OLR

Outgoing Longwave Radiation

RAL

Rutherford Appleton Laboratory

RSF

Reflected Solar radiation Flux

SLSTR

Sea and Land Surface Temperature Radiometers

STFC

Science and Technology Facilities Council

TCDR

Thematic Climate Data Record

TOA

Top Of the Atmosphere


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Table 2-1: Summary of the TCDR and preliminary assessment of ICDR accuracy of the Earth Radiation Budget dataset.

Table 43-1: Summary of KPI results with 2.5 and 97.5 percentiles and number of ICDR months within the range

Table 4-1: GCOS targets for Earth Radiation GCOS targets for Earth Radiation Budget ECVs and CDR values.

List of figures

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Figure 2-1: RSF and OLR from SLSTR (ICDR dataset) for March 2017.

Figure 2-2: RSF and OLR from CERES dataset for March 2017.

General definitions

The "CCI product family" Climate Data Record (CDR) consists of two parts. The ATSR2-AATSR Earth Radiation Budget CDR is formed by a TCDR brokered from the ESA Cloud_cci project and an ICDR derived from the Sea and Land Surface Temperature Radiometer (SLSTR) on board of Sentinel-3A and -B. ICDR uses the same processing and infrastructure as the TCDR. Both TCDR and ICDR data have been produced by STFC RAL Space.

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Table 1: Definition of processing levels

Processing level

Definition

Level-1b

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

Level-2 (L2)

Retrieved cloud variables at full input data resolution, thus with the same resolution and location as the sensor measurements (Level-1b).

Level-3C (L3C)

Cloud properties of Level-2 orbits of one single sensor combined (averaged) on a global spatial grid. Both daily and monthly products provided through C3S are Level-3C.


Table 2: Definition of various technical terms used in the document

Jargon

Definition

Brokered product

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

Climate Data Store (CDS)

The front-end and delivery mechanism for data made available through C3S.

Retrieval

A numerical data analysis scheme which uses some form of mathematical inversion to derive physical properties from some form of measurement. In this case, the derivation of cloud properties from satellite measured radiances.

Forward model

A deterministic model which predicts the measurements made of a system, given its physical properties. The forward model is the function which is mathematically inverted by a retrieval scheme. In this case, the forward model predicts the radiances measured by a satellite instrument as a function of atmospheric and surface state, and cloud properties.

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.

CDR

A Climate Data Record (CDR) is defined as a time series of measurements with sufficient length, consistency, and continuity to determine climate variability and change.

Scope of the document

This document provides a description of the product validation results for the Climate Data record (CDR) of the Essential Climate Variable (ECV) Earth Radiation Budget. This CDR comprises inputs from two sources: (i) brokered products from the Cloud Climate Change Initiative (ESA's Cloud_cci), namely those coming from processing of the Advanced Along-Track Scanning Radiometer ((A)ATSR) data and (ii) those produced under this contract for the Climate Data Store, specifically those coming from processing of the Sea and Land Surface Temperature Radiometers (SLSTR).

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1 Data available here: https://ceres.larc.nasa.gov/data/ (Last accessed on 28/02/2023).

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2. Validation results

The validation results for the TCDR are provided in [D1] section 3 and 5. Table 2-1 provides a summary of the resulting TCDR accuracies.

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table2_1
Table 2-1: Summary of the TCDR and preliminary assessment of ICDR accuracy of the Earth Radiation Budget dataset.

Product name

Accuracy for the TCDR [W/m²]

Accuracy for the ICDR – SLSTR-A [W/m²]

Accuracy for the ICDR – SLSTR-B [W/m²]

Accuracy for the ICDR – A+B [W/m²]

Reflected Solar radiation Flux (RSF)

5.72

3.80

4.19

4.63

Outgoing Longwave Radiation (OLR)

1.72

-0.97

-1.32

-1.03

2.1 TCDR validation with CERES satellite data

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Figure 2-1: RSF and OLR from SLSTR (ICDR dataset) for March 2017.

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figure2_2
Figure 2-2: RSF and OLR from CERES dataset for March 2017.

3. Application(s) specific assessmentsassessments

In addition to the extensive product validation (see chapter 2 for results and chapter 2/3 in [D5] for validation methodology) a second assessment is introduced to evaluate the Interim Climate Data Record (ICDR) against the Thematic Climate Data Record (TCDR) in terms of consistency. Since frequent ICDR deliveries make detailed validation not feasible, a consistency check against the deeply validated TCDR is used as an indication of quality. This is done by a comparison of the following two evaluations:

  • TCDR against a stable, long-term and independent reference dataset
  • ICDR against the same stable, long-term and independent reference dataset

The evaluation method is generated to detect differences in the ICDR performance in a quantitative, binary way with so called Key Performance Indicators. The general method is outlined in [D4] chapter 3. The same difference between TCDR/ICDR and the reference dataset would lead to the conclusion that TCDR and ICDR have the same quality (key performance is "good"). Variations or trends in the differences (TCDR/ICDR against reference) would require a further investigation to analyze the reasons. The key performance would be marked as "bad". The binary decision whether the key performance is good or bad is made in a statistical way by a hypotheses test (binomial test). Based on the TCDR/reference comparison (global means, monthly or daily means) a range is defined with 95% of the differences are within. This range (2.5 and 97.5 percentile) is used for the ICDR/reference comparison to check whether the values are in or out of the range. The results could be the following:

  • All or a sufficient high number of ICDR/reference differences lies within the range defined by the TCDR/reference comparison: Key performance of the ICDR is "good"
  • A smaller number of ICDR/reference differences is within the pre-defined range: Key performance of the ICDR is "bad"

3.1 Results

The results of the KPI test are summarized in Table 3-1.

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table3_1
Table 3-1: Summary of KPI results with 2.5 and 97.5 percentiles and number of ICDR months within the range. Colors green or red mark the results of the binomial tests as good or bad, respectively.


Outgoing Longwave RadiationReflected Shortwave Radiation
Percentiles

p2.5

p97.5

-1.15 W/m²

0.9 W/m²

-1.36 W/m²

1.15 W/m²


Sentinel-3A:


01/2017 - 12/2020
01/4805/48
01/2017 - 12/2021
59/6055/60
01/2017 - 06/2022
63/6661/66

Sentinel-3B:




10/2018 - 12/2021
36/3936/39
10/2018 - 06/2022
39/4542/45

Sentinel-3A+B:


10/2018 - 06/2022
39/4521/45

Percentiles were calculated based on the comparison of the TCDR using the Advanced Along Track Scanning Radiometer (AATSR) instrument against CERES as reference dataset for the variables Outgoing Longwave Radiation (OLR) and Reflected Shortwave Flux (RSF). Percentiles were based on the time from 2002-2012 with monthly means and applied to the ICDR from 01/2017 (10/2018) to 06/2022 for Sentinel-3A (Sentinel-3B and merged product Sentinel-3A+B) based on measurements of the Sea and Land Surface Temperature Radiometer (SLSTR).

A part of the ICDR months are outside the TCDR-based KPI limits and leading to “bad” KPI tests. For these, the ICDR is not stable in relation to the TCDR. This is due to multiple reasons starting with the fact of a five year gap (2012-2016) between TCDR and ICDR. In addition, TCDR and ICDR are based on different instruments with SLSTR on Sentinel-3 and (A)ATSR/ATSR-2 on Envisat/ERS-2, respectively. Differences occur due to a lower bias between ICDR and reference dataset and a subtraction of the monthly means (based on the TCDR) to remove the annual cycle leads to values outside of the KPI range (see method in [D4], chapter 3.2.2). Please note that significant changes between 01/2017 - 12/2020 and 01/2017 - 12/2021 are due to bugfixesThis section is not applicable. There are no additional specific assessments known since the dataset has just been published.

4. Compliance with user requirements

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Table 4-1: GCOS targets for Earth Radiation Budget ECVs and CDR values.

Product name


GCOS targets

Cloud_cci dataset

RSF

Frequency

Monthly (resolving diurnal cycle)

Cloud_cci products do not meet the requirement for resolving the diurnal cycle.


Resolution

100 km

Cloud_cci products exceed the spatial resolution.


Measurement uncertainty

1 W/m² on global mean

Uncertainty: 5.72 W/m²
Standard Deviation: 1.64 W/m² on global mean


Stability

0.3 W/m²/decade

-0.15 W/m²/decade (Validation with CERES)

OLR

Frequency

Monthly (resolving diurnal cycle)

Cloud_cci products do not meet the requirement for resolving the diurnal cycle.


Resolution

100 km

Cloud_cci products exceed the spatial resolution.


Measurement uncertainty

1 W/m² on global mean

Uncertainty: 1.72 W/m²
Standard Deviation: 1.12 W/m² on global mean


Stability

0.2 W/m²/decade

-0.52 W/m²/decade (Validation with CERES)


Known limitations [From D1 table 7.1]:

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Loeb, N.G., Doelling, D.R., Wang, H., Su, W., Nguyen, C., Corbett, J.G., Liang, L., Mitrescu, C., Rose, F.G., and Kato, S.: Clouds and the Earth's Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Top-of-Atmosphere (TOA) Edition 4.0 Data Product, J.Climate, 31(2), 895–918, doi:10.1175/JCLI-D-17-0208.1, 2018.

Info
iconfalse

This document has been produced with funding by the European Union in the context of the Copernicus Climate Change Service (C3S)

.The activities leading to these results have been contracted

, operated by the European Centre for Medium-Range Weather Forecasts

, operator of C3S

on behalf

of

on the European Union (

Delegation Agreement signed on 11/11/2014 and

Contribution Agreement signed on 22/07/2021).

All information in this document is provided "as is" and no guarantee

or

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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