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Global SnowPack - MODIS - Mean

This product shows the mean snow cover duration (SCDmean), which is updated each year and consists of the arithmetic mean for the entire time series since the hydrological year 2001. The hydrological year begins in the meteorological autumn (October 1 of the previous year in the northern hemisphere or March 1 of the reference year in the southern hemisphere) and ends with the meteorological summer (northern hemisphere: August 31 of the reference year; southern hemisphere: February 28/29 of the following year). Analogous to the annual products for snow cover duration, the entire year as well as the early season (until mid-winter) and the late season (from mid-winter) are taken into account here.

The “Global SnowPack” is derived from daily, operational MODIS snow cover product for each day since February 2000. Data gaps due to polar night and cloud cover are filled in several processing steps, which provides a unique global data set characterized by its high accuracy, spatial resolution of 500 meters and continuous future expansion. It consists of the two main elements daily snow cover extent (SCE) and seasonal snow cover duration (SCD; full and for early and late season). Both parameters have been designated by the WMO as essential climate variables, the accurate determination of which is important in order to be able to record the effects of climate change. Changes in the largest part of the cryosphere in terms of area have drastic effects on people and the environment.

For more information please also refer to:

Dietz, A.J., Kuenzer, C., Conrad, C., 2013. Snow-cover variability in central Asia between 2000 and 2011 derived from improved MODIS daily snow-cover products. International Journal of Remote Sensing 34, 3879–3902. https://doi.org/10.1080/01431161.2013.767480

Dietz, A.J., Kuenzer, C., Dech, S., 2015. Global SnowPack: a new set of snow cover parameters for studying status and dynamics of the planetary snow cover extent. Remote Sensing Letters 6, 844–853. https://doi.org/10.1080/2150704X.2015.1084 551

Dietz, A.J., Wohner, C., Kuenzer, C., 2012. European Snow Cover Characteristics between 2000 and 2011 Derived from Improved MODIS Daily Snow Cover Products. Remote Sensing 4. https://doi.org/10.3390/rs40824 32

Dietz, J.A., Conrad, C., Kuenzer, C., Gesell, G., Dech, S., 2014. Identifying Changing Snow Cover Characteristics in Central Asia between 1986 and 2014 from Remote Sensing Data. Remote Sensing 6. https://doi.org/10.3390/rs612127 52

Rößler, S., Witt, M.S., Ikonen, J., Brown, I.A., Dietz, A.J., 2021. Remote Sensing of Snow Cover Variability and Its Influence on the Runoff of Sápmi’s Rivers. Geosciences 11, 130. https://doi.org/10.3390/geosciences11030130

Simple

Date (Creation)
2022-03-01T00:00:00
Citation identifier
https://geoservice.dlr.de/catalogue/srv/metadata/02392381-5bb0-4b28-a49d-e742fe44820b
Presentation form
Digital map
Status
ongoing
Point of contact
  German Aerospace Center (DLR) - ( )
Point of contact
  DFD-LAX -
Maintenance and update frequency
yearly

GEMET - INSPIRE themes, version 1.0

  • Land cover

Spatial scope
  • global
Keywords
  • MODIS

  • Global Snow Pack

  • mean snow cover duration

  • mean snow cover duration late season

  • mean snow cover duration early season

  • snow

  • SCDmean

  • SCDEmean

  • SCDLmean

  • opendata

  • inspireidentifiziert

Use limitation

Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use.

Access constraints
Other restrictions
Other constraints
Es gelten keine Zugriffsbeschränkungen
Use constraints
Other restrictions
Other constraints

Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0 / Terms of use: License, https://creativecommons.org/licenses/by/4.0

Other constraints

{"id": "cc-by/4.0",

"name": "Creative Commons Namensnennung - Attribution 4.0 International (CC BY 4.0)",

"url": " http://dcat-ap.de/def/licenses/cc-by/4.0 ",

"quelle": "Copyright DLR (2022)"}

Spatial representation type
Grid
Denominator
920000
Language
English
Character set
UTF8
Topic category
  • Climatology, meteorology, atmosphere
N
S
E
W
thumbnail


Begin date
2000-01-01T00:00:00
End date
2022-02-28T00:00:00
Unique resource identifier
EPSG:4326
Number of dimensions
2
Dimension name
Column
Dimension size
86400
Resolution
460  m
Dimension name
Row
Dimension size
43200
Resolution
460  m
Cell geometry
Area
Transformation parameter availability
No
Distribution format
  • GeoTIFF ()

OnLine resource
GSP_SCD_MEAN ( OGC:WMS )

Global SnowPack - Mean Snow Cover Duration (SCDmean)

OnLine resource
GSP_SCDE_MEAN ( OGC:WMS )

Global SnowPack - Mean Snow Cover Duration Early Season (SCDE)

OnLine resource
GSP_SCDL_MEAN ( OGC:WMS )

Global SnowPack - Mean Snow Cover Duration Late Season (SCDL)

OnLine resource
https://geoservice.dlr.de/eoc/land/wms?SERVICE=WMS%26REQUEST=GetCapabilities ( OGC:WMS-http-get-capabilities )
OnLine resource
EOC Geoservice map context ( WWW:LINK-1.0-http--link )
OnLine resource
EOC Download Service ( WWW:LINK-1.0-http--link )
OnLine resource
Global SnowPack - EOC News ( WWW:LINK-1.0-http--link )
Hierarchy level
Dataset

Domain consistency

Measure identification
INSPIRE / Conformity_001

Conformance result

Date (Publication)
2010-12-08
Explanation

See the referenced specification.

Pass
Yes
Statement

Created from MODIS daily snow cover products MOD10A1, MYD10A1 provided by the National Snow and Ice Datacenter NSIDC ( https://nsidc.org/ )

Processing steps include combination of observations recorded by Aqua and Terra, temporal interpolation of 3 successive days, snow line identification, and a seasonal filter. More details are available in the publication "Dietz A.J., Kuenzer, C., and Dech, S. (2015): Global SnowPack: a new set of snow cover parameters for studying status and dynamics of the planetary snow cover extent; Remote Sensing Letters 6, No. 11. pp. 844-853

Description

Single day snow cover datasets MOD10A1 and MYD10A1 were first cleared of any clouds/data gaps/polar darkness areas using 4 different interpolation techniques, then merged to produce the seasonal products.

Accuracy of the seasonal product ranges between 77% and 85%, depending on the location and the duration of data gaps caused by clouds or darkness.

File identifier
02392381-5bb0-4b28-a49d-e742fe44820b XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Hierarchy level name

Dataset

Date stamp
2024-06-20T13:08:19
Metadata standard name

ISO 19115-1:2014/19139

Metadata standard version

2003/Cor.1:2006

Point of contact
  German Aerospace Center (DLR)
 
 

Overviews

overview
large_thumbnail
overview
thumbnail

Spatial extent

N
S
E
W
thumbnail


Keywords

GEMET - INSPIRE themes, version 1.0
Land cover

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Associated resources

Not available


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