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
RAL Space, STFC Rutherford Appleton Laboratory, Harwell Campus
United Kingdom
CEDA
This dataset contains Daily Snow Cover Fraction of viewable snow from AVHRR, produced by the Snow project of the ESA Climate Change Initiative programme. Snow cover fraction viewable (SCFV) indicates the area of snow viewable from space over land surfaces. In forested areas this refers to snow viewable on top of the forest canopy. The SCFV is given in percentage (%) per pixel. The global SCFV 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 SCFV 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 SCFV 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- and post-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 SCFV retrieval method is applied. 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 set is used for product generation: 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. RMSE is retrieved from a statistical model and added as pixel-wise information.The SCFV product is aimed to serve the needs for users working in the 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 SCFV product development and generation. ENVEO (ENVironmental Earth Observation IT GmbH) developed and prepared all auxiliary data sets used for the product generation. The SCFV 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 - viewable (SCFV) 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 SCFV 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.
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
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).
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
METOP-A
METOP-B
METOP-C
TIROS-N
AVHRR
Metop-A
Metop-B
Metop-C
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
NOAA Climate Data Record (CDR) of Cloud Properties from AVHRR Pathfinder Atmospheres - Extended (PATMOS-x), Version 5.3. CLIMATE APPLICATIONS: PATMOS-x AVHRR supports: NCEI AVHRR Aerosol TCDR, Climate analysis, Climate model verification. OFFICIAL CITATION: Andrew K. Heidinger, Michael J. Foster, Andi Walther, Xuepeng Zhao, and NOAA CDR Program (2014): NOAA Climate Data Record (CDR) of Cloud Properties from AVHRR Pathfinder Atmospheres - Extended (PATMOS-x), Version 5.3. [indicate subset used]. NOAA National Centers for Environmental Information. doi:10.7289/V5348HCK [access date]
NOAA Climate Data Record (CDR) of Cloud Properties from AVHRR Pathfinder Atmospheres - Extended (PATMOS-x), Version 5.3. CLIMATE APPLICATIONS: PATMOS-x AVHRR supports: NCEI AVHRR Aerosol TCDR, Climate analysis, Climate model verification
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC RADIATION>EARTH RADIATION BUDGET
METOP-A
METOP-B
TIROS-N
AVHRR
Metop-A
Metop-B
Earth Radiation Budget
ECV

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
METOP-A
METOP-B
METOP-C
TIROS-N
AVHRR
Metop-A
Metop-B
Metop-C
Cloud Properties
ECV

EUMETSAT
Geoscientific Information
CLIMATE APPLICATIONS: earth radiation budget studies climate research (monitoring and modelling), NMHSs & government agencies, private and public sector
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC RADIATION>EARTH RADIATION BUDGET
METOP-C
Metop-C
Earth Radiation Budget
ECV
SNPP
VIIRS

DOC/NOAA/NESDIS/NCEI
NOAA Climate Data Record (CDR) of Monthly Outgoing Longwave Radiation (OLR), Version 2.2-1. CLIMATE APPLICATIONS: Earth Radiation Budget Tropical dynamics (ENSO, MJO, tropical expansion) Precipitation Climate model verification Solar Energy Forecast. OFFICIAL CITATION: Hai-Tien Lee and NOAA CDR Program (2011): NOAA Climate Data Record (CDR) of Monthly Outgoing Longwave Radiation (OLR), Version 2.2-1. [indicate subset used]. NOAA National Climatic Data Center. doi:10.7289/V5222RQP [access date].
NOAA Climate Data Record (CDR) of Monthly Outgoing Longwave Radiation (OLR), Version 2.2-1. CLIMATE APPLICATIONS: Earth Radiation Budget Tropical dynamics (ENSO, MJO, tropical expansion) Precipitation Climate model verification Solar Energy Forecast
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC RADIATION>EARTH RADIATION BUDGET
Earth Radiation Budget

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