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Reference ID

Document

D1

Algorithm Theoretical Basis Document, v.6.2. ESA Cloud_cci.
httphttps://wwwclimate.esa-cloud-cci.orgint/sitesmedia/defaultdocuments/files/upload/Cloud_cci_D2.1_Cloud_Algorithm-Theoretical-Baseline-Document-ATBD_v6.2.pdf
Last accessed on 2413/0410/20202022.

D2

Algorithm Theoretical Basis Document, CC4Cl, v6.2. ESA Cloud_cci.http
https://wwwclimate.esa-cloud-cci.orgint/sitesmedia/defaultdocuments/files/upload/Cloud_CCI_D2.1a3_ATBDCloud_Algorithm-Theoretical-Baseline-Document-ATBD-CC4CL_v6.2_cc4cl.pdf
Last accessed on 1613/0610/20202022.

D3

Product User Guide, v5.1. ESA Cloud_cci, .
httphttps://wwwclimate.esa-cloud-cci.orgint/sitesmedia/defaultdocuments/files/upload/Cloud_cci_D3.3_Cloud_Product-User-Guide-PUG_v5.1.pdf
Last accessed on 2413/0410/20202022.

D4

Comprehensive Error Characterization Report, v.4.1. ESA Cloud_cci.http
https://wwwclimate.esa-cloud-cci.orgint/sitesmedia/default/filesdocuments/upload/Cloud_CCI_D1.3_Comprehensive-Error-Characterisation-Report-CECR_v4.1.pdf
Last accessed on 1513/10/20192022.

D5

Algorithm Theoretical Basis Document of the Community Code for Climate Multi-Layer Cloud Module, v.1.1. ESA Cloud_cci.http
https://wwwclimate.esa-cloud-cci.orgint/sites/default/files/upload/Cloud_CCI_D2.1.1_ATBD_media/documents/Cloud_Algorithm-Theoretical-Baseline-Document-ATBD-CC4CL-MLEV_v1.1.pdf
Last accessed on 1513/10/20192022.

D6

Sus et al. The Community Cloud retrieval for Climate (CC4CL). Part I: A framework applied to multiple satellite imaging sensors, Atmos. Meas. Tech. 2017.
DOI: https://doi.org/10.5194/amt-2017-334

D7

McGarragh et al. The Community Cloud retrieval for CLimate (CC4CL). Part II: The optimal estimation approach, Atmos. Meas. Tech. 2017.
DOI: https://doi.org/10.5194/amt-2017-333

D8

AATSR Detailed Processing Model Level 1b. Ref: PO-TN-RALS-GS-10004, https://earth.esa.int/documents/10174/663411/AATSR_Data_Processing_Model_L1B.
Last accessed on 15/10/2019.

D9

ENVISAT-style products for ATSR-1 and ATSR-2 data. Ref: APP-TN-005, https://earth.esa.int/c/document_library/get_file?folderId=46990&name=DLFE-694.pdf
Last accessed on 15/10/2019.

D10

Sentinel-3 SLSTR Technical Guide.
https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-slstr/instrument
Last accessed on 23/09/2020.


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titleClick here to expand the list of acronyms


Acronym

Definition

AATSR

Advanced Along-Track Scanning Radiometer

(A)ATSR

Short-hand for both ATSR-2 and AATSR

ATBD

Algorithm Theoretical Basis Document

ATSR-1, -2

Along Track Scanning Radiometer

AVHRR

Advanced Very High Resolution Radiometer

BRDF

Bidirectional Reflection Distribution Function

C3S

Copernicus Climate Change Service

CC4CL

Community Cloud retrieval for CLimate

CCI

(ESA) Climate Change Initiative

CDR

Climate Data Record

CDS

Climate Data Store

CECR

Comprehensive Error Characterisation Report

CEDA

Centre for Environmental Data Analysis

CF

Climate and Forecast metadata

DARD

Data Access Requirements Document

ECMWF

European Centre for Medium Range Weather Forecasts

ECV

Essential Climate Variable

ERA

ECMWF Re-Analysis

ERS-2

Environmental Research Satellite

ENVISAT

(the) Environmental Satellite

ESA

European Space Agency

FCDR

Fundamental Climate Data Record

GCMD

Global Change Master Directory

ICDR

Interim Climate Data Record

IR

InfraRed

MODIS

Moderate Resolution Imaging Spectroradiometer

MWIR

Medium Wave InfraRed

NASA

National Aeronautical and Space Administration

PUG

Product User Guide

RTTOVS

Radiative Transfer for TOVS

SLSTR

Sea and Land Surface Temperature Radiometer

STFC

Science and Technology Facilities Council

SWIR

Short Wave InfraRed

TCDR

Thematic Climate Data Record

TIR

Thermal InfraRed

TOA

Top Of Atmosphere

TOVS

TIROS Operational Vertical Sounder

UKRI

UK Research and Innovation

VIS

Visible


General definitions


Scope of the document

This Algorithm Theoretical Basis Document (ATBD) describes the generation of the Climate Data Record (CDR) on cloud properties brokered from ESA's Cloud_cci programme and its extension with an interim-CDR (ICDR) derived from the Sea and Land Surface Temperature Radiometer (SLSTR) on the Sentinel-3 platform. This extension of the ESA Cloud_cci dataset is generated specifically for C3S by RAL Space, but is derived using the same algorithm and processing chain. Therefore, this document refers to several Cloud_cci documents (see _Related documents), namely the ESA Cloud_cci ATBDs [D1, D2], the ESA Cloud_cci Product User Guide (PUG) [D3], and the ESA Cloud_cci Error characterization report [D4]. These documents describe the data processing chain and the algorithms used to generate the cloud property products. The assessment described in this document is carried out within the scope of C3S and the intellectual property rights of the products themselves remain with the Cloud_cci, in the case of the CDR, or lie with STFC RAL Space, in the case of the ICDR. This document is not part of the official Cloud_cci documentation but produced solely in the scope of the brokering to the CDS.

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table1_1
table1_1
Table 1‑1: The orbital characteristics of the Sentinel-3 satellites. Note that these characteristics are very similar to the ERS-2 and ENVISAT platforms which carried the preceding ATSR instruments.

Altitude

Inclination

Period

Repeat Cycle

Ground-track deviation

Local Time at Descending node

814.5 km

98.65°

100.99 min

27 days

±1 km

10:00

The SLSTR instrument is described in detail by the Sentinel-3 SLSTR User Guide [D10], but an overview of its specifications is given in Table 1‑2.

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table1_2
table1_2
Table 1‑2: The specifications of the SLSTR instruments (taken from the SLSTR User Guide [D10]).


Capability

SLSTR Specifications

Swath


Nadir view

1,400 km

Oblique view

740 km

Global Coverage Revisit Times
(nadir view)


1 satellite

1 day (mean)

2 satellites

0.5 day (mean)

Spatial Sampling interval at Sub-satellite point (km)

VIS-SWIR

0.5 km

IR-Fire

1 km

Spectral channel centre (µm)




VIS

0.554 (S1); 0.659 (S2) 0.868 (S3)

SWIR

1.374 (S4); 1.613 (S5); 2.25 (S6)

MWIR/TIR

3.742 (S7); 10.85 (S8); 12.02 (S9)

Fire ½

3.742 (F1); 10.85 (F2)

Radiometric Resolution






VIS (Albedo =0.5%)

Signal-to-Noise Ratio (SNR) > 20

SWIR (Albedo =0.5%)

Signal-to-Noise Ratio (SNR) > 20

MWIR (T =270K)

NEΔT < 80 mK

TIR (T=270K)

NEΔT < 50 mK

Fire 1 (<500 K)

NEΔT < 1 K

Fire 2 (<400 K)

NEΔT < 0.5 K

Radiometric Accuracy




VIS-SWIR (Albedo = 2-100%)


< 2% (Beginning of Life)

<5% (End of Life)

MWIR –TIR(265 – 310 K)

< 0.2 K (0.1 K goal)

Fire (< 500 K)

< 3 K

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2. Input and auxiliary data

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table2_1
table2_1
Table 2-1: (A)ATSR and SLSTR channels used to produce the Cloud_cci cloud properties v3.0 TCDR and SLSTR v3.x ICDR

(A)ATSR Channel number

SLSTR Band name

Nominal wavelength

2

S2

0.67 m

3

S3

0.87 m

4

S5

1.6 m

6

S8

10.8 m

7

S9

12.0 m

In addition to (A)ATSR or SLSTR level 1 data, the CC4CL retrieval scheme also relies on a range of auxiliary datasets, which are detailed in Table 2-2.

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table2_2
table2_2
Table 2-2: Auxiliary data used in generating the Cloud_cci TCDR and SLSTR ICDR cloud properties products.

Dataset

Description

ECMWF ERA-Interim

ECMWF reanalysis products provide pressure, temperature, humidity and ozone profiles, as well a priori surface temperature, sea ice extent and near-surface wind speed for ocean surface reflectance calculation.

MODIS MCD43A1 The product used is MCD43A1 V006. See the MODIS user guide at https://www.umb.edu/spectralmass/terra_aqua_modis/v006 (accessed 7-May-2020). V006

The MODIS BRDF product provides land-surface reflectance.

IREMIS UW Baseline Fit

The Global Infrared Land Surface Emissivity (IREMIS) University of Wisconsin-Madison Baseline Fit to the MODIS MOD11 emissivity product provides land-surface emissivity.

RTTOV

The standard coefficient and database files provided with RTTOV v 12.1 are used, where not superseded by other auxiliary data (as is the case with the emissivity and surface reflectance atlases)

Further details of the input and auxiliary data used are provided in the Cloud_cci CC4CL ATBD [D2], Section 3.

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The data in the monthly cloud products are given in Table 4‑1, while those for the daily products are given in Table 4‑2. Most data fields have four related variables, which are the mean value of the data itself (for example, the mean cloud-top pressure is found in the ctp variable), followed by the standard deviation of the data, denoted by _std, the propagated uncertainty, denoted by _unc, and the spatially correlated uncertainty, denoted by _cor. The definition and details of the calculation of these terms is given in the Cloud_cci Comprehensive Error Characterisation Report [D4].

Both daily and monthly data files have common global attributes, which are defined in Table 4‑3. All data arrays (aside from the lat/lon arrays defining the geographic grid) in the monthly products are 720×360 element arrays, while those in the daily files are 3600×1800 elements. In the case of daily files, data are separated into daylight and night data, based on a solar zenith angle cut-off. This separation is done for two main reasons:

  1. In locations where the daylight (descending half of the orbit) and night sections (ascending half of the orbit) overlap, data values separated in time by approximately 12 hours would be combined if a simple daily average was taken. Not only can such an average not be considered a valid daily mean, but will result in inconsistent results in adjacent sections of the orbit track which do and do-not overlap
  2. Cloud optical depth and effective radius rely on information for the shortwave (A)ATSR or SLSTR channels, and thus are not retrieved for night pixels. Thus, in order to provide a consistent set of cloud properties for each retrieval, only daylight cloud top pressure, height and temperature as well as water path should be included in the averaging where effective radius and optical depth are present.


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table4_1
table4_1
Table 4-1: The data variables included in the Cloud_cci TCDR and SLSTR ICDR monthly cloud properties files brokered to, or produced for, the CDS.

Property

Unit

Variable name

Comment

Latitude

Degrees North

lat

Values correspond to grid centres (-89.75°, -89.25°, -88.75°, …, 89.75°).

Longitude

Degrees East

lon

Values correspond to grid centres (-179.75°, -179.25°, -178.75°, …, 179.75°).

Cloud pixel count

-

pixel_count
pixel_count_day

The number of level 2 cloud pixels included in the averaging. Totals are given for all pixels and daylight pixels.

Liquid cloud pixel count

-

liquid_count
liquid_count_day

The number of level2 pixels, classified as liquid water cloud, included in the averaging. Totals are given for all pixels and daylight pixels.

Ice cloud pixel count

-

ice_count
ice_count_day

The number of level2 pixels, classified as ice water cloud, included in the averaging. Totals are given for all pixels and daylight pixels.

Cloud fractional cover

-

cfc
cfc_unc

The cloud fractional-area cover, defined as the fraction of level 2 pixels within each level 3 grid cell flagged as cloudy.

Cloud-top pressure

hPa

ctp
ctp_std
ctp_unc
ctp_cor

The pressure at the cloud top, as determined from thermal infrared emission. This value is directly related to cth and ctt by ECMWF ERA profiles.

Cloud-top height

km

cth
cth_std
cth_unc
cth_cor

The height of the cloud top above mean sea level, determined from thermal infrared emission. This value is directly related to ctp and ctt by ECMWF ERA profiles.

Cloud-top temperature

K

ctt
ctt_std
ctt_unc
ctt_cor

The temperature at cloud top, determined from thermal infrared emission. This value is directly related to ctp and cth by ECMWF ERA profiles.

Cloud effective radius

µm

cer
cer_std
cer_unc
cer_cor

The effective radius of cloud droplets or ice crystals.

Cloud optical thickness

-

cot
cot_std
cot_unc
cot_cor

The column optical thickness at a wavelength of 500 nm.

Liquid water path

gm-2

lwp
lwp_std
lwp_unc
lwp_cor

The column mass of liquid cloud water.

Ice water path

gm-2

iwp
iwp_std
iwp_unc
iwp_cor

The column mass of ice cloud water.


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table4_2
table4_2
Table 4-2: The data variables included in the Cloud_cci TCDR and SLSTR ICDR daily cloud properties files brokered to, or produced for, the CDS.

Property

Unit

Variable name

Comment

Latitude

Degrees North

lat

Values correspond to grid centres (-89.95°, -89.85°, -89.75°, …, 89.95°).

Longitude

Degrees East

lon

Values correspond to grid centres (-179.95°, -179.85°, -179.75°, …, 179.95°).

Cloud pixel count

-

pixel_count_day
pixel_count_night

The number of level 2 cloud pixels included in the averaging. Totals are given for daylight and night pixels separately.

Liquid cloud pixel count

-

liquid_count_day
liquid_count_night

The number of level2 pixels, classified as liquid water cloud, included in the averaging. Totals are given for daylight and night pixels separately.

Ice cloud pixel count

-

ice_count_day
ice_count_night

The number of level2 pixels, classified as ice water cloud, included in the averaging. Totals are given for daylight and night pixels separately.

Cloud fractional cover

-

cfc_day
cfc_night
cfc_day_unc
cfc_night_unc

The cloud fractional-area cover, defined as the fraction of level 2 pixels within each level 3 grid cell flagged as cloudy.

Cloud-top pressure

hPa

ctp_day
ctp_night
ctp_day_std
ctp_night_std
ctp_day_unc
ctp_night_unc
ctp_day_cor
ctp_night_cor

The pressure at the cloud top, as determined from thermal infrared emission. This value is directly related to cth and ctt by ECMWF ERA profiles.

Cloud-top height

km

cth_day
cth_night
cth_day_unc
cth_night_unc

The height of the cloud top above mean sea level, determined from thermal infrared emission. This value is directly related to ctp and ctt by ECMWF ERA profiles.

Cloud-top temperature

K

ctt_day
ctt_night
ctt_day_unc
ctt_night_unc

The temperature at cloud top, determined from thermal infrared emission. This value is directly related to ctp and cth by ECMWF ERA profiles.

Cloud effective radius

µm

cer_day
cer_day_std
cer_day_unc
cer_day_cor

The effective radius of cloud droplets or ice crystals.

Cloud optical thickness

-

cot_day
cot_day_unc

The column optical thickness at a wavelength of 500 nm.

Liquid water path

gm-2

lwp_day
lwp_day_unc

The column mass of liquid cloud water.

Ice water path

gm-2

iwp_day
iwp_day_unc

The column mass of ice cloud water.


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table4_3
table4_3
Table 4-3: List of global attributes included in the Cloud_cci TCDR and SLSTR ICDR cloud properties files brokered to, or produced for, the CDS.

Attribute name

Description

title

Descriptive title of the file contents

Project

"Climate Change Initiative-European Space Agency"

product_version

The version number of the product

conventions

Lists the naming and meta data conventions used

standard_name_vocabulary

Defines the standard name convention used

Institution

The source institution of the data

Source

The source (level 1) data used in the product

geospatial_lon_resolution

The grid spacing in the longitude axis

geospatial_lat_resolution

The grid spacing in the latitude axis

geospatial_lon_min

The minimum longitude covered by the product

geospatial_lon_max

The maximum longitude covered by the product

geospatial_lat_min

The minimum latitude covered by the product

geospatial_lat_max

The maximum latitude covered by the product

spatial_resolution

Alternative description of the spatial grid used.

geospatial_vertical_min

Definition of vertical grid used (0 indicated no vertical grid)

geospatial_vertical_max

Definition of vertical grid used (0 indicated no vertical grid)

Platform

Satellite platform from which observations originated

Sensor

Satellite sensor which made the observations used

creator_email

contact.cloudcci@dwd.de

creator_url

www.esa-cloud-cci.org

date_created

ISO date and time string of processing time of the particular file

creator_name

Alternative for institution

time_coverage_duration

ISO time string defining temporal coverage of the product

time_coverage_resolution

ISO time string defining temporal resolution of the product

references

Link to further information about the product

history

Brief description of provenance of the product

summary

Brief description of product contents

keywords

List of keywords (for data discovery)

comment

Any further comments on the product not covered by other fields

license

License conditions of the product

cdm_data_type

Common Data Model Data Type used in the NetCDF file

keywords_vocabulary

The standard list from which the keywords have been extracted

naming_authority

ID string of the institution naming product (and contents)

tracking_id

An ISO Universally Unique Identifier (UUID) number for the file

id

A human readable identifier of the product

time_coverage_start

ISO time string of the start of the product's temporal coverage

time_coverage_end

ISO time string of the end of the product's temporal coverage

inputfilelist

List of the primary input files used to create the product

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References
References
References

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