Global SnowPack - MODIS - Daily

This product shows globally the daily snow cover extent (SCE). The snow cover extent is the result of the Global SnowPack processor's interpolation steps and all data gaps have been filled. Snow cover extent is updated daily and processed in near real time (3 days lag). In addition to the near real-time product (NRT_SCE), the entire annual data set is processed again after the end of a calendar year in order to close data gaps etc. and the result is made available as a quality-tested SCE product. There is also a quality layer for each day (SCE_Accuracy), which reflects the quality of the snow determination based on the time interval to the next "cloud-free" day, the time of year and the topographical/geographical location.

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.2015.1084551

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/rs4082432

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/rs61212752

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

Citation proposal
. Global SnowPack - MODIS - Daily. https://gdk.gdi-de.org/geonetwork/srv/api/records/0aaf17e5-ffd2-4729-92b9-c75ce9239a70

Simple

Date ( Creation ): 2022-03-01T00:00:00

Edition

Identifier: https://geoservice.dlr.de/catalogue/srv/metadata/0aaf17e5-ffd2-4729-92b9-c75ce9239a70

Presentation form: Digital map

Other citation details

Status: ongoing

Point of contact

DFD-LAX -

Point of contact

German Aerospace Center (DLR) - ( )

Maintenance and update frequency: Daily

GEMET - INSPIRE themes, version 1.0 ( Theme )

Land cover

Spatial scope

Global

Keywords

MODIS
Global Snow Pack
snow cover extent
near realtime snow cover extent
snow cover extent accuracy
snow
SCE
NRT_SCE
SCE_Accuarcy
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

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 - 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

Metadata language: English

Character set: UTF8

Topic category

Climatology, meteorology, atmosphere

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: false

Distribution format

GeoTIFF ()

OnLine resource: GSP_SCE_P1D
Global SnowPack - Snow Cover Extent (SCE)

OnLine resource: GSP_SCENRT_P1D
Global SnowPack - Snow Cover Extent Near Real-Time (SCE NRT)

OnLine resource: https://geoservice.dlr.de/eoc/land/wms?SERVICE=WMS%26REQUEST=GetCapabilities

OnLine resource: EOC Geoservice map context
EOC Geoservice map context

OnLine resource: EOC Download Service
EOC Download Service

OnLine resource: Global SnowPack - EOC News
Global SnowPack - EOC News

Hierarchy level: Series

Domain consistency

Measure identification: INSPIRE / Conformity_001

Conformance result

Date ( Publication ): 2010-12-08

Explanation: See the referenced specification.

Pass: true

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., 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.2015.1084551"

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.