METOP GOME-2 - Cloud Optical Thickness (COT) - Global

The Global Ozone Monitoring Experiment-2 (GOME-2) instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME / ERS-2 and SCIAMACHY / Envisat. Currently, there are three GOME-2 instruments operating on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B and -C, launched in October 2006, September 2012, and November 2018, respectively. GOME-2 can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore, cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2 / MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing.

OCRA (Optical Cloud Recognition Algorithm) and ROCINN (Retrieval of Cloud Information using Neural Networks) are used for retrieving the following geophysical cloud properties from GOME and GOME-2 data: cloud fraction (cloud cover), cloud-top pressure (cloud-top height), and cloud optical thickness (cloud-top albedo). OCRA is an optical sensor cloud detection algorithm that uses the PMD devices on GOME / GOME-2 to deliver cloud fractions for GOME / GOME-2 scenes. ROCINN takes the OCRA cloud fraction as input and uses a neural network training scheme to invert GOME / GOME-2 reflectivities in and around the O2-A band. VLIDORT [Spurr (2006)] templates of reflectances based on full polarization scattering of light are used to train the neural network. ROCINN retrieves cloud-top pressure and cloud-top albedo. The cloud optical thickness is computed using libRadtran [Mayer and Kylling (2005)] radiative transfer simulations taking as input the cloud-top albedo retrieved with ROCINN. For more details please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages: https://atmos.eoc.dlr.de/app/docs/

Citation proposal
. METOP GOME-2 - Cloud Optical Thickness (COT) - Global. https://gdk.gdi-de.org/geonetwork/srv/api/records/810631f4-c311-44f2-9ced-c2260df2bc06

INSPIRE
SDS

INSPIRE

Identification

File identifier: 810631f4-c311-44f2-9ced-c2260df2bc06 XML

Hierarchy level: Series

Online resource

Protocol: WWW:LINK-1.0-http--link

Protocol: WWW:DOWNLOAD-1.0-ftp--download

Protocol: WWW:LINK-1.0-http--link

Protocol: OGC:WMS

Protocol: OGC:WMS

Protocol: OGC:WMS

Protocol: OGC:WCS

Protocol: OGC:WCS

Protocol: OGC:WCS

Protocol: OGC:WMS-http-get-capabilities

Protocol: OGC:WCS-http-get-capabilities

Resource identifier

code: https://geoservice.dlr.de/catalogue/srv/metadata/810631f4-c311-44f2-9ced-c2260df2bc06

Metadata language: English

Spatial representation type: Grid

Encoding

Format

Version

Projection

code: WGS 84 (EPSG:4326)

Classification of data and services

Topic category

Climatology, meteorology, atmosphere

Classification of data and services

Coupled resource

Classification of data and services

Coupled resource

Keywords

GEMET - INSPIRE themes, version 1.0 ( Theme )

Atmospheric conditions

Other keywords

Keywords

MetOp-A
MetOp-B
MetOp-C
GOME-2
COT
Cloud Optical Thickness
AC-SAF
GOME.TC.AGG
urn:eop:DLR:EOWEB:GOME.TC.AGG
FEDEO

Geographic coverage

Temporal reference

Temporal extent

Date ( Creation ): 2020-02-22T00:00:00

Quality and validity

Lineage: Please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages for more details on cloud optical thickness retrieval: https://atmos.eoc.dlr.de/app/docs/