1.1
1
802494438
info:srw/schema/1/example-v1.1
xml:ISO19139:F
de.dkrz.wdcc.iso2444135
series
MODIS__Arctic__MPF
Dr. Anja Rösel
University of Hamburg (IfM)
https://www.ifm.uni-hamburg.de/en.html
author
Prof. Dr. Lars Kaleschke
University of Hamburg / KlimaCampus
http://icdc.zmaw.de
author
Dr. Stefan Kern
University of Hamburg / KlimaCampus
http://icdc.zmaw.de
author
Dr. Stefan Kern
University of Hamburg / KlimaCampus
http://icdc.zmaw.de
pointOfContact
Prof. Dr. Lars Kaleschke
University of Hamburg (IfM)
https://www.ifm.uni-hamburg.de/en.html
originator
Dr. Anja Rösel
University of Hamburg / KlimaCampus
http://icdc.zmaw.de
originator
2022-04-25T05:17:51
ISO 19115
ISO 19139 / DKRZ ISO Simple Profile V1.0
http://doi.org/doi:10.1594/WDCC/MODIS__Arctic__MPF
MODIS__Arctic__MeltPondFraction__UHAM-CliSAP-ICDC__v01__12.5km__8day
MODIS__Arctic__MeltPondFraction__UHAM-CliSAP-ICDC__v01__12.5km__8day
2013-01-07
creation
None
Gridded Melt Pond Cover Fraction on Arctic Sea Ice derived from TERRA-MODIS 8-day composite Reflectance Data
doi:10.1594/WDCC/MODIS__Arctic__MPF
Prof. Dr. Lars Kaleschke
University of Hamburg (IfM)
https://www.ifm.uni-hamburg.de/en.html
originator
Dr. Anja Rösel
University of Hamburg / KlimaCampus
http://icdc.zmaw.de
originator
doi:10.1594/WDCC/MODIS__Arctic__MPF
Reflectances measured in the visible frequency range at three channels of the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Earth Observation Satellite (EOS) TERRA were used to derive the melt pond fraction on Arctic sea ice using an artificial neural network. This analysis was done on reflectances gridded onto a polar-stereographic grid tangent to the Earths' surface at 70 deg N with 500 m grid resolution. The reflectances used originate from the 8-day composite reflectances provided via https://wist.echo.nasa.gov/api/ as product: "MODIS surface Reflectance 8-Day L3 Global 500m SIN Grid V005". After gridding and flagging for clouds and other disturbances the artificial neural network was applied, providing fractions of three surface classes: 1) melt ponds, 2) sea ice and snow, and 3) open water at 500 m grid resolution. This data has been interpolated onto a similar polar-stereographic grid but with 12.5 km grid resolution.
The data set offered here comprises several data layers: the melt pond fraction, its standard deviation, the open water fraction, and the number of individual valid grid cells with 500 m grid resolution included in each 12.5 km grid cell. In addition, in three separate data layers melt pond fraction, its standard deviation, and the open water fraction are given only for those grid cells (with 12.5 km grid resolution) where more than 90 % of the native 500 m grid resolution data indicate clear sky conditions. Grid cells with an open water fraction larger than 85 % have been generally flagged as invalid. The data set is updated annually.
Dr. Anja Rösel
University of Hamburg (IfM)
https://www.ifm.uni-hamburg.de/en.html
author
Prof. Dr. Lars Kaleschke
University of Hamburg / KlimaCampus
http://icdc.zmaw.de
author
Dr. Stefan Kern
University of Hamburg / KlimaCampus
http://icdc.zmaw.de
author
Dr. Stefan Kern
University of Hamburg / KlimaCampus
http://icdc.zmaw.de
pointOfContact
ocean
theme
arctic
theme
EOS-TERRA
theme
eng
0.0
360.0
60.0
90.0
2000-05-08
2011-09-13
12
land_binary_mask
modelResult
n/a
latitude
modelResult
n/a
longitude
modelResult
n/a
melt_pond_area_fraction_at_top_of_sea_ice
modelResult
n/a
melt_pond_area_fraction_at_top_of_sea_ice
modelResult
n/a
melt_pond_area_fraction_at_top_of_sea_ice_assuming_clear_sky
modelResult
n/a
melt_pond_area_fraction_at_top_of_sea_ice_assuming_clear_sky
modelResult
n/a
number_of_valid_data_per_grid_cell
modelResult
n/a
projection_x_coordinate
modelResult
n/a
projection_y_coordinate
modelResult
n/a
sea_area_fraction
modelResult
n/a
sea_area_fraction_assuming_clear_sky
modelResult
n/a
time
modelResult
n/a
netCDF.tar
tarball of network Common Data Format files
distributor
Mb
2486
http://doi.org/doi:10.1594/WDCC/MODIS__Arctic__MPF
series
]]>
1
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de.dkrz.wdcc.iso2444135
1
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xml
https://sru.dwd.de/SRU2JDBC/