Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
See the referenced specification
DE/DLR
Climatology Meteorology Atmosphere
Gidded Level 3 H2O total columns. The Earth's capacity to sustain life is attributed to two mechanisms: the greenhouse effect and the hydrological cycle. Water vapour in the atmosphere is a critical component of both processes and the main naturally occurring greenhouse gas in the Earth's climate system. Water in gaseous form varies more than other greenhouse gases. Monitoring atmospheric water vapour globally is essential to understand its climate impacts. Measurements of water vapor columns are derived from satellite observations of solar radiation in the ultraviolet and visible (430 – 450 nm) spectral ranges. A water vapour absorption band is detectable across some European Sentinel platforms (Sentinel-4, Sentinel-5P and 5), former (GOME and SCIAMACHY) and future instruments (CO2M). This absorption signature by water vapor is used to derive the shown concentrations with the Differential Optical Absorption Spectroscopy (DOAS) technique. The retrieval methodology, as applied to the fleet of available platforms, demonstrates several advantages, including optimal sensitivity and coverage characteristics across both oceans and continents, enhanced temporal sampling frequency for weather applications, and continuous extension of long-term datasets for climate study purposes. This is accomplished by DLR in the framework of the EUMETSAT's Satellite Application Facility on Atmospheric Composition (AC-SAF) monitoring where DLR generates operational GOME-2 / MetOp products.
METOP GOME-2 - Water Vapour (H2O) - Global
Nutzungsbedingungen: Lizenz, / Terms of use: License,
Please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages for more details on water vapour retrieval: https://atmos.eoc.dlr.de/app/docs/
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC WATER VAPOR
METOP-A
METOP-B
METOP-C
Metop-A
Metop-B
Metop-C
Nutzungsbedingungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Terms of use: DLR not liable for damage resulting from use.
MetOp-A
MetOp-B
MetOp-C
Water Vapour
AC-SAF
FEDEO
Atmospheric conditions

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
See the referenced specification
DE/DLR
Climatology Meteorology Atmosphere
Gridded Level 3 SO2 total column densities derived from the Metop/GOME-2-instruments.Volcanoes are the largest soures of SO2 in the atmosphere, depending on the erruption the Sulfurous compounds can be injected into stratosphere but in most cases it stays within the troposphere. Another important source is the coal combustion. Desulfurisation facilities within the power stations have reduced the sulfur emissions around the globe. In the stratosphere sulfur is a key component for building up aerosols, which reflect parts of the solar irradiation. The total SO2 column is retrieved from GOME solar back-scattered measurements in the ultraviolet wavelength region [using the DOAS method]. Depending on the plume SO2 can be a very strong absorber, because of that the ODAS retrieval might have some smaller issues, they can be reduced by choosing different wavelenght ranges depending on the signal. We apply three different fitting windows between 310 and 360nm. For the AMF, we assume a plumeheight of 6 km altitude. 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. Three instruments operate on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B, and -C, launched in 2006, 2012, and 2018, respectively. GOME-2 measures a range of atmospheric trace constituents, with the emphasis on global ozone distribution. 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 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Composition Monitoring (AC-SAF).
METOP GOME-2 - Sulfur Dioxide (SO2) - Global
Nutzungsbedingungen: Lizenz, / Terms of use: License,
Please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages for more details on sulfur dioxide retrieval: https://atmos.eoc.dlr.de/app/docs/
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC CHEMISTRY>SULFUR COMPOUNDS>SULFUR DIOXIDE
METOP-A
METOP-B
METOP-C
Metop-A
Metop-B
Metop-C
Nutzungsbedingungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Terms of use: DLR not liable for damage resulting from use.
MetOp-A
MetOp-B
MetOp-C
Sulfur Dioxide
AC-SAF
FEDEO
Atmospheric conditions

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
See the referenced specification
DE/DLR
Climatology Meteorology Atmosphere
Gridded Level 3 cloud top pressure derived from Metop/GOME observations.Cloud physical properties (cloud fraction, cloud top height, cloud optical thickness) are derived from GOME/GOME-2 observations using the OCRA (Optical Cloud Recognition Algorithm) and ROCINN (Retrieval of Cloud Information using Neural Networks). 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/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. Three instruments operate on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B, and -C, launched in 2006, 2012, and 2018, respectively. GOME-2 measures a range of atmospheric trace constituents, with the emphasis on global ozone distribution. 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 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Composition Monitoring (AC-SAF).
METOP GOME-2 - Cloud Top Pressure (CTP) - Global
Nutzungsbedingungen: Lizenz, / Terms of use: License,
Please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages for more details on cloud top pressure retrieval: https://atmos.eoc.dlr.de/app/docs/
EARTH SCIENCE>ATMOSPHERE>CLOUDS>CLOUD PROPERTIES>CLOUD TOP PRESSURE
METOP-A
METOP-B
METOP-C
Metop-A
Metop-B
Metop-C
Nutzungsbedingungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Terms of use: DLR not liable for damage resulting from use.
MetOp-A
MetOp-B
MetOp-C
CTP
Cloud Top Pressure
AC-SAF
FEDEO
Atmospheric conditions

Gridded Level 3 ozone column densities derived from the Metop/GOME-2-instruments. In the stratosphere – where the majority of the total O3 amount is located - O3 plays an vital role for the UV protection. In the troposphere O3 is generated by chemical processes caused by natural and anthropogenic emission of NO2 and volatile organic components (VOCs) (e.g. HCHO). Direct exposure to O3 is harmfull for humans and our environment.The total O3 column is retrieved from GOME solar back-scattered measurements in the uv wavelength region 325-335nm [using the DOAS method]. To determine the AMF an iterative process is applied, the assumed profile depends on the latitude, month, but also on the total column. 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. Three instruments operate on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B, and -C, launched in 2006, 2012, and 2018, respectively. GOME-2 measures a range of atmospheric trace constituents, with the emphasis on global ozone distribution. 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 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Composition Monitoring (AC-SAF).
METOP GOME-2 - Ozone (O3) - Global
Please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages for more details on ozone total column retrieval: https://atmos.eoc.dlr.de/app/docs/
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC CHEMISTRY>OXYGEN COMPOUNDS>ATMOSPHERIC OZONE
Ozone
GOME.TC.AGG
urn:eop:DLR:EOWEB:GOME.TC.AGG

Gridded Level 3 tropospheric NO2 column densities derived from the Metop/GOME-2-instruments.In the troposphere NO2 is a short-lived atmospheric constituent caused by combustion processes, e.g. fossil fuel consumption or biomass buring or by lightning. NO2 plays an important role in the formation of ozone. The total NO2 column is retrieved from GOME solar back-scattered measurements in the visible wavelength region around 440nm [using the DOAS method]. To derive tropospheric NO2 columns, the estimated stratospheric component is substracted from the total column. In addition, an air mass factor based on monthly climatological NO2 profiles is considered. 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. Three instruments operate on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B, and -C, launched in 2006, 2012, and 2018, respectively. GOME-2 measures a range of atmospheric trace constituents, with the emphasis on global ozone distribution. 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 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Composition Monitoring (AC-SAF).
METOP GOME-2 - Tropospheric Nitrogen Dioxide (NO2) - Global
Please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages for more details on nitrogen dioxide tropospheric column retrieval: https://atmos.eoc.dlr.de/app/docs/
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC CHEMISTRY>NITROGEN COMPOUNDS>NITROGEN DIOXIDE
Troposhperic NO2
Nitrogen Dioxide

Gridded Level 3 cloud fraction derived from Metop/GOME observations.Cloud physical properties (cloud fraction, cloud top height, cloud optical thickness) are derived from GOME/GOME-2 observations using the OCRA (Optical Cloud Recognition Algorithm) and ROCINN (Retrieval of Cloud Information using Neural Networks). 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/ 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. Three instruments operate on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B, and -C, launched in 2006, 2012, and 2018, respectively. GOME-2 measures a range of atmospheric trace constituents, with the emphasis on global ozone distribution. 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 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Composition Monitoring (AC-SAF).
METOP GOME-2 - Cloud Fraction (CF) - Global
Please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages for more details on cloud fraction retrieval: https://atmos.eoc.dlr.de/app/docs/
EARTH SCIENCE>ATMOSPHERE>CLOUDS>CLOUD PROPERTIES>CLOUD FRACTION
CF
Cloud Fraction

RAL Space, STFC Rutherford Appleton Laboratory, Harwell Campus
United Kingdom
CEDA
This dataset contains Daily Snow Cover Fraction (snow on ground) from AVHRR, produced by the Snow project of the ESA Climate Change Initiative programme. Snow cover fraction on ground (SCFG) indicates the area of snow observed from space over land surfaces, in forested areas corrected for the transmissivity of the forest canopy. The SCFG is given in percentage (%) per pixel. The global SCFG product is available at about 5 km pixel size for all land areas, excluding Antarctica and Greenland ice sheets. The coastal zones of Greenland are included.The SCFG time series provides daily products for the period 1979-2023. The product V4.0 is based on EUMETSAT Fundamental Data Record (FDR) medium resolution optical satellite data from the Advanced Very High Resolution Radiometer (AVHRR). Clouds are masked using the CLARA-A3 cloud product. The retrieval method of the snow_cci SCFG product from AVHRR data has been further developed and improved based on the ESA GlobSnow approach described by MetsÃ¤mÃ¤ki et al. (2015) and complemented with a pre-classification module. All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 0.63 Âµm and 1.61 Âµm (channel 3a or the reflective part of channel 3b (ref3b)), and an emissive band centred at about 10.8 Âµm. The snow_cci snow cover mapping algorithm is a three-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the snow_cci SCFG retrieval method is applied using dynamic reference reflectance values (snow, forest, ground) temporally and spatially adapted to consider angle dependencies (sun, view). Finally, a post-processing removes erroneous snow pixels caused either by falsely classified clouds in the tropics or by unreliable ref3b values at a global scale. The following auxiliary data sets are used for product generation: i) ESA CCI Land Cover from 2000; water bodies and permanent snow and ice areas are masked based on this dataset. Both classes were separately aggregated to the pixel spacing of the SCF product. Water areas are masked if more than 50 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map; ii) Forest canopy transmissivity map; this layer is based on the tree cover classes of the ESA CCI Land Cover 2000 data set and the tree cover density map from Landsat data for the year 2000 (Hansen et al., Science, 2013, DOI: 10.1126/science.1244693). This layer is used to apply a forest canopy correction and estimate in forested areas the fractional snow cover on ground. RMSE is retrieved from a statistical model and added as pixel-wise information. The SCFG product is aimed to serve the needs of users working in cryosphere and climate research and monitoring activities, including the detection of variability and trends, climate modelling and aspects of hydrology, meteorology, and biology.The Remote Sensing Research Group of the University of Bern, in cooperation with Gamma Remote Sensing is responsible for the SCFG product development and generation. ENVEO (ENVironmental Earth Observation IT GmbH) developed and prepared all auxiliary data sets used for the product generation.The SCFG AVHRR product comprises a few data gaps in 1979 â 1986 (1979: 22.-24.Feb.; 01.-07.Oct.; 03.-04.Nov.; 07.Nov.; 17.-18.Nov.; 1980: 22.-27.Feb.; 01.March; 03.March; 15.-20.March; 30.March â 02.April; 26.-29.June; 12.-19.July; 12.-18.Dec.; 1981: 09.-11.May; 01.-03.Aug.; 14.-23.Aug.; 1982: 28.- 31.May; 25.-26. Oct.; 1983: 27.- 31. July; 01.- 02. and 06. Aug.; 1984: 14.-15.Jan.; 06. Dec.; 1985: 01.- 24.Feb; 1986: 15. March), resulting in a 99% data coverage over the entire study period of 43 years.
ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - snow on ground (SCFG) from AVHRR (1979 - 2023), version 4.0
Under the following licence appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
The snow_cci SCFG product based on AVHRR was developed and processed at the University of Bern in the frame of ESA CCI+ Snow project. The AVHRR baseline FCDR was pre-processed using pyGAC and pySTAT in the frame of the ESA CCI Cloud project (Devasthale et al. 2017). The final product is quality checked.Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
Devasthale, A. et al. PyGac: An open-source, community-driven Python interface to preprocess nearly 40-year AVHRR Global Area Coverage (GAC) data record. Quarterly 11, 3â5 (2017).
Wu, Xiaodan; Naegeli, Kathrin; Premier, Valentina; Marin, Carlo; Ma, Dujuan; Wang, Jingping; Wunderle, Stefan (2021). Evaluation of snow extent time series derived from Advanced Very High Resolution Radiometer global area coverage data (1982â2018) in the Hindu Kush Himalayas. The Cryosphere, 15(9), pp. 4261-4279. Copernicus Publications
MetsÃ¤mÃ¤ki, S., Pulliainen, J., Salminen, M., Luojus, K., Wiesmann, A., Solberg R. and Ripper, E. 2015. Introduction to GlobSnow Snow Extent products with considerations for accuracy assessment. Remote Sensing of Environment, 156, 96â108.
EUMETSAT, 2023b. PyGAC Fundamental Data Record Algorithm Theoretical Basis Document.
Karlsson, K.-G., Stengel, M., Meirink, J.F., RiihelÃ¤, A., Trentmann, J., Akkermans, T., Stein, D., Devasthale, A., Eliasson, S., Johansson, E., HÃ¥kansson, N., Solodovnik, I., Benas, N., Clerbaux, N., Selbach, N., SchrÃ¶der, M., Hollmann, R., 2023. CLARA-A3: The third edition of the AVHRR-based CM SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023. Earth Syst. Sci. Data 15, 4901â4926.
EARTH SCIENCE>CLIMATE INDICATORS>CRYOSPHERIC INDICATORS>SNOW COVER
EARTH SCIENCE>SPECTRAL/ENGINEERING>INFRARED WAVELENGTHS
TIROS-N
AVHRR
Level 3C
snow
Public data: access to these data is available to both registered and non-registered users.
ESA
CCI
Snow
Snow Cover Fraction
orthoimagery
Unavailable

DOC/NOAA/NESDIS/NCEI
Geoscientific Information
CLIMATE APPLICATIONS: PATMOS-x AVHRR supports: NCEI AVHRR Aerosol TCDR, Climate analysis, Climate model verification
EARTH SCIENCE>ATMOSPHERE>CLOUDS>CLOUD PROPERTIES
TIROS-N
AVHRR
Cloud Properties
ECV

EUMETSAT
Geoscientific Information
CLIMATE APPLICATIONS: global cloud climatologies climate research (monitoring and modelling), NMHSs & government agencies, private and public sector
EARTH SCIENCE>ATMOSPHERE>CLOUDS>CLOUD PROPERTIES
TIROS-N
AVHRR
Cloud Properties
ECV
SNPP
VIIRS