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Dataset

 
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ESA Snow Climate Change Initiative (Snow_cci): Daily Snow Cover Fraction – viewable snow CRDP from MODIS v1.0 (SCFV - MODIS), 2000 – 2018, 0.01 deg grid spacing

Update Frequency: Not Planned
Status: Completed
Publication State: Preview
Publication Date:

THIS RECORD HAS NOT BEEN PUBLISHED YET - PREVIEW ONLY!
Abstract

This dataset contains Daily Snow Cover Fraction of viewable snow from MODIS, produced by the Snow project of the ESA Climate Change Initiative programme.

Citable as:  [ PROVISIONAL ] Luojus, K.; Moisander, M.; Pulliainen, J.; Takala, M.; Lemmetyinen, J.; Derksen, C.; Mortimer, C.; Schwaizer, G.; Nagler, T. (9999): ESA Snow Climate Change Initiative (Snow_cci): Daily Snow Cover Fraction – viewable snow CRDP from MODIS v1.0 (SCFV - MODIS), 2000 – 2018, 0.01 deg grid spacing. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/ef8eb5ff84994f2ca416dbb2df7f72c7
Abbreviation: Not defined
Keywords: ESA, CCI, Snow, SWE

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).

Data Quality:
Data are as provided by the data producer. The statistical standard deviation of snow water equivalent is added as uncertainty layer in each product.
File Format:
Not defined

Process overview

This dataset was generated by the computation detailed below.
Title ESA Snow Climate Change Initiative (snow_cci)
Abstract The snow_cci SWE product has been based on the ESA GlobSnow SWE retrieval approach (Takala et al. 2011). The retrieval is based on passive microwave radiometer (PMR) data considering the change of brightness temperature due to different snow depth, snow density, grain size and more. The retrieval algorithm handles data from the sensors SMMR, SSM/I, SSMIS, AMSR-E and AMSR-2. The retrieval methodology combines the satellite passive microwave radiometer (PMR) measurements with ground-based synoptic weather station observations by Bayesian non-linear iterative assimilation. A background snow-depth field from re-gridded surface snow-depth observations and a passive microwave emission model are required components of the retrieval scheme. Improvements to the GlobSnow algorithm implemented for snow_cci version 1 include the utilisation of an advanced emission model with an improved forest transmissivity module and treatment of sub-grid lake ice. Because of the importance of the weather station snow-depth observations on the SWE retrieval, there is improved screening for consistency through the time series. Snow_cci SWE version 1products are based on SMMR, SSM/I and SSMIS PMR data for non-alpine regions of the Northern Hemisphere.
Input Description None
Output Description None
Software Reference None

No variables found.

Coverage
Temporal Range
Start time:
1979-01-06T00:00:00
End time:
2018-05-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°