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Product DescriptionOverviewTable 1: Overview of SMOS Product
File nameNetCDF files are named as: SMOS_Icethickness_v3.3_north_<date>.nc File FormatDaily mean SMOS sea ice thickness is given in NetCDF v4 format. Global attributes are given in Table 2. The variables are given as grid arrays as listed in Table 3. Table 2: Global attributes from an example NetCDF file.
Table 3: NetCDF file content.
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GridTable 4: Northern Hemisphere Grid Coordinates of NSIDC Polar Stereographic Grids (ref.: https://nsidc.org/data/polar-stereo/ps_grids.html)
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borderColor | Gainsboro |
---|---|
borderWidth | 0 |
borderStyle | solid |
title | Main improvements and changes in v3.3 |
---|
- Transition of L1C data from v620 to v724: Besides Level 3 algorithm modifications, improvements made in L1C data also impact the sea ice thickness products. In v3.3, v724 L1C data is used instead of v620 L1C.
- Polar stereographic projection update: Following NSIDC we consider the EPSG 3411 and 3412 as deprecated and replaced this with 3413 and 3976 in v3.3 (https://nsidc.org/data/polar-stereo/ps_grids.html).
- NetCDF format update: Furthermore, the output of L3 data in updated to NetCDF v4.
Version
Date
Comments
v3.2
15.10.2018
Official ESA release
borderWidth | 0 |
---|
Product Description
Overview
Table 1: Overview of SMOS Product
Parameter
Sea ice thickness
Spatial covergae
Northern hemisphere, poleward of 50°N, -180°E to 180°E
Spatial Resolution
12.5 km x12.5 km
Temporal Coverage:
since 15. Oct. 2010
Temporal Resolution
1 day
Data Format(s)
NetCDF v4
Platforms
SMOS
Version
v3.3
File name
NetCDF files are named as:
SMOS_Icethickness_v3.3_north_<date>.nc
File Format
Daily mean SMOS sea ice thickness is given in NetCDF v4 format. Global attributes are given in Table 2. The variables are given as grid arrays as listed in Table 3.
Table 2: Global attributes from an example NetCDF file.
Attribute
Value
title
Daily gridded sea-ice thickness and auxiliary parameters from satellite L-band radiometry data
project
CS2SMOS PDS CR-1: SMOS Sea Ice Data Product Processing and Dissemination Tasks, supported by ESA
institution
Alfred-Wegener-Institut Helmholtz Zentrum für Polar und Meeresforschung (AWI), http://www.awi.de
contributor_name
Xiangshan Tian-Kunze, Lars Kaleschke, Stefan Hendricks
publisher_email
platform
“ESA Soil Moisture and Ocean Salinity (SMOS) mission”
sensor
“Microwave Imaging Radiometer using Aperture Synthesis (MIRAS)”
source
SMOS v724 L1C brightness temperature
product_version
v3.3
Processing level
L3c
grid
NSIDC polar stereographic projection. https://nsidc.org/data/polar-stereo/ps_grids.html
tracking id
08533af0-7656-4f35-b0a8-7ae4081a2c9a
naming authority
de.awi
history
Product generated with SMOS sea ice thickness retrieval Algorithm v3.3
summary
This dataset contains Level-3 daily sea ice thickness products from satellite observations in the northern hemisphere. Northern hemisphere sea ice thickness coverage is limited to the winter month between October and April. 100% sea ice coverage is assumed, which leads to underestimation of sea ice thickness.
topiccategory
Oceans Climatology Meteorology Atmosphere
keywords
Earth Science > Cryosphere > Sea Ice > Ice Depth/Thickness, Earth Science > Oceans > Sea Ice > Ice Depth/Thickness, Earth Science > Climate Indicators > Cryospheric Indicators > Ice Depth/Thickness, Geographic Region > Northern Hemisphere, Vertical Location > Sea Surface, Institutions > AWI > Alfred Wegener Institute for Polar and Marine Research
id
awi-cs2smos-l3c-sithick-smos-nh_12p5_km_polstereo-YYMMDD-fv3p3
doi
none
Date_created
e.g. “Tue Mar 24 17:37:59 2020”
spatial_resolution
12.5 km grid spacing
time_coverage_duration
P1D
time_coverage_start
yyyy-mm-ddT00:00:00
time_coverage_end
yyyy-mm-ddT23:59:59
time_coverage_resolution
P1D
geospatial_bounds_crs
EPSG:3413
geospatial_lat_max
90.0
geospatial_lat_min
50.0
geospatial_lon_max
180.0
geospatial_lon_min
-180.0
geospatial_vertical_max
0.0
geospatial_vertical_min
0.0
references
1) Kaleschke, L., X. Tian-Kunze, N. Maass, M. Maekynen, and M. Drusch (2012), Sea ice thickness retrieval from SMOS brightness temperatures during the Arctic freeze-up period, Geophys. Res. Lett., 39, L05501, doi:10.1029/2012GL050916. (2) Tian-Kunze, X., Kaleschke, L., Maass, N., Maekynen, M., Serra, N., Drusch, M., and Krumpen, T., SMOS-derived sea ice thickness: algorithm baseline, product specifications and initial verification, The Cryosphere, 8, 997-1018, doi:10.5194/tc-8-997-2014, 2014 (3) Kaleschke, L., Tian-Kunze, X., Maass, N., Beitsch, A., Wernecke, A., Miernecki, M. and others, SMOS sea ice product: operational application and validation in the Barents Sea marginal ice zone, Remote Sensing of Environment 180 (2016), 264-273. doi: 10.1016/j.rse.2016.03.009 (4) Tietsche, S., Alonso-Balmaseda, M., Rosnay, P., Zuo, H., Tian-Kunze, X., and Kaleschke, L.: Thin Arctic sea ice in L-band observations and an ocean reanalysis, The Cryosphere, 12, 2051-2072, https://doi.org/10.5194/tc-12-2051-2018, 2018.
Table 3: NetCDF file content.
x
float32
1 x 896 x 608
ratio of retrieved ice thickness and maximal retrievable ice thickness
brightness temperature intensity (TBh+TBv)/2
brightness temperature uncertainty defined as one standard deviation of TB devided by the sqrt(nPair)
SMOS derived snow surface temperature
Bulk ice salinity
number of TBh and TBv pairs available
percent of RFI-contaminated measurements in total measurements
land_binary_mask
hours since 2010-01-01 00:00:00
borderColor | Gainsboro |
---|---|
borderWidth | 0 |
borderStyle | solid |
Grid
Table 4: Northern Hemisphere Grid Coordinates of NSIDC Polar Stereographic Grids
(ref.: https://nsidc.org/data/polar-stereo/ps_grids.html)
X (km)
Y (km)
Latitude (deg)
Longitude (deg)
position
-3850
5850
30.98
168.35
corner
0
5850
39.43
135.00
midpoint
3750
5850
31.37
102.34
corner
3750
0
56.35
45.00
midpoint
3750
-5350
34.35
350.03
corner
0
-5350
43.28
315.00
midpoint
-3850
-5350
33.92
279.26
corner
-3850
0
55.50
225.00
midpoint
Panel | ||||||||
---|---|---|---|---|---|---|---|---|
| ||||||||
LinksESA Websites: |
Panel | ||||||||
---|---|---|---|---|---|---|---|---|
| ||||||||
Contact |
borderColor | Gainsboro |
---|---|
borderWidth | 0 |
borderStyle | solid |
title | Main improvements and changes in v3.3 |
---|
- Transition of L1C data from v620 to v724: Besides Level 3 algorithm modifications, improvements made in L1C data also impact the sea ice thickness products. In v3.3, v724 L1C data is used instead of v620 L1C.
- Polar stereographic projection update: Following NSIDC we consider the EPSG 3411 and 3412 as deprecated and replaced this with 3413 and 3976 in v3.3 (https://nsidc.org/data/polar-stereo/ps_grids.html).
- NetCDF format update: Furthermore, the output of L3 data in updated to NetCDF v4.
Version
Date
Comments
v3.2
15.10.2018
Official ESA release
borderWidth | 0 |
---|
Product Description
Overview
Table 1: Overview of SMOS Product
Parameter
Sea ice thickness
Spatial covergae
Northern hemisphere, poleward of 50°N, -180°E to 180°E
Spatial Resolution
12.5 km x12.5 km
Temporal Coverage:
since 15. Oct. 2010
Temporal Resolution
1 day
Data Format(s)
NetCDF v4
Platforms
SMOS
Version
v3.3
File name
NetCDF files are named as:
SMOS_Icethickness_v3.3_north_<date>.nc
File Format
Daily mean SMOS sea ice thickness is given in NetCDF v4 format. Global attributes are given in Table 2. The variables are given as grid arrays as listed in Table 3.
Table 2: Global attributes from an example NetCDF file.
Attribute
Value
title
Daily gridded sea-ice thickness and auxiliary parameters from satellite L-band radiometry data
project
CS2SMOS PDS CR-1: SMOS Sea Ice Data Product Processing and Dissemination Tasks, supported by ESA
institution
Alfred-Wegener-Institut Helmholtz Zentrum für Polar und Meeresforschung (AWI), http://www.awi.de
contributor_name
Xiangshan Tian-Kunze, Lars Kaleschke, Stefan Hendricks
publisher_email
platform
“ESA Soil Moisture and Ocean Salinity (SMOS) mission”
sensor
“Microwave Imaging Radiometer using Aperture Synthesis (MIRAS)”
source
SMOS v724 L1C brightness temperature
product_version
v3.3
Processing level
L3c
grid
NSIDC polar stereographic projection. https://nsidc.org/data/polar-stereo/ps_grids.html
tracking id
08533af0-7656-4f35-b0a8-7ae4081a2c9a
naming authority
de.awi
history
Product generated with SMOS sea ice thickness retrieval Algorithm v3.3
summary
This dataset contains Level-3 daily sea ice thickness products from satellite observations in the northern hemisphere. Northern hemisphere sea ice thickness coverage is limited to the winter month between October and April. 100% sea ice coverage is assumed, which leads to underestimation of sea ice thickness.
topiccategory
Oceans Climatology Meteorology Atmosphere
keywords
Earth Science > Cryosphere > Sea Ice > Ice Depth/Thickness, Earth Science > Oceans > Sea Ice > Ice Depth/Thickness, Earth Science > Climate Indicators > Cryospheric Indicators > Ice Depth/Thickness, Geographic Region > Northern Hemisphere, Vertical Location > Sea Surface, Institutions > AWI > Alfred Wegener Institute for Polar and Marine Research
id
awi-cs2smos-l3c-sithick-smos-nh_12p5_km_polstereo-YYMMDD-fv3p3
doi
none
Date_created
e.g. “Tue Mar 24 17:37:59 2020”
spatial_resolution
12.5 km grid spacing
time_coverage_duration
P1D
time_coverage_start
yyyy-mm-ddT00:00:00
time_coverage_end
yyyy-mm-ddT23:59:59
time_coverage_resolution
P1D
geospatial_bounds_crs
EPSG:3413
geospatial_lat_max
90.0
geospatial_lat_min
50.0
geospatial_lon_max
180.0
geospatial_lon_min
-180.0
geospatial_vertical_max
0.0
geospatial_vertical_min
0.0
references
1) Kaleschke, L., X. Tian-Kunze, N. Maass, M. Maekynen, and M. Drusch (2012), Sea ice thickness retrieval from SMOS brightness temperatures during the Arctic freeze-up period, Geophys. Res. Lett., 39, L05501, doi:10.1029/2012GL050916. (2) Tian-Kunze, X., Kaleschke, L., Maass, N., Maekynen, M., Serra, N., Drusch, M., and Krumpen, T., SMOS-derived sea ice thickness: algorithm baseline, product specifications and initial verification, The Cryosphere, 8, 997-1018, doi:10.5194/tc-8-997-2014, 2014 (3) Kaleschke, L., Tian-Kunze, X., Maass, N., Beitsch, A., Wernecke, A., Miernecki, M. and others, SMOS sea ice product: operational application and validation in the Barents Sea marginal ice zone, Remote Sensing of Environment 180 (2016), 264-273. doi: 10.1016/j.rse.2016.03.009 (4) Tietsche, S., Alonso-Balmaseda, M., Rosnay, P., Zuo, H., Tian-Kunze, X., and Kaleschke, L.: Thin Arctic sea ice in L-band observations and an ocean reanalysis, The Cryosphere, 12, 2051-2072, https://doi.org/10.5194/tc-12-2051-2018, 2018.
Table 3: NetCDF file content.
x
float32
1 x 896 x 608
ratio of retrieved ice thickness and maximal retrievable ice thickness
brightness temperature intensity (TBh+TBv)/2
brightness temperature uncertainty defined as one standard deviation of TB devided by the sqrt(nPair)
SMOS derived snow surface temperature
Bulk ice salinity
number of TBh and TBv pairs available
percent of RFI-contaminated measurements in total measurements
land_binary_mask
hours since 2010-01-01 00:00:00
borderColor | Gainsboro |
---|---|
borderWidth | 0 |
borderStyle | solid |
Grid
Table 4: Northern Hemisphere Grid Coordinates of NSIDC Polar Stereographic Grids
(ref.: https://nsidc.org/data/polar-stereo/ps_grids.html)
X (km)
Y (km)
Latitude (deg)
Longitude (deg)
position
-3850
5850
30.98
168.35
corner
0
5850
39.43
135.00
midpoint
3750
5850
31.37
102.34
corner
3750
0
56.35
45.00
midpoint
3750
-5350
34.35
350.03
corner
0
-5350
43.28
315.00
midpoint
-3850
-5350
33.92
279.26
corner
-3850
0
55.50
225.00
midpoint
Panel | ||||||||
---|---|---|---|---|---|---|---|---|
| ||||||||
LinksESA Websites: |
Panel | ||||||||
---|---|---|---|---|---|---|---|---|
| ||||||||
Contact |
borderColor | Gainsboro |
---|---|
borderWidth | 0 |
borderStyle | solid |
title | Main improvements and changes in v3.3 |
---|
- Transition of L1C data from v620 to v724: Besides Level 3 algorithm modifications, improvements made in L1C data also impact the sea ice thickness products. In v3.3, v724 L1C data is used instead of v620 L1C.
- Polar stereographic projection update: Following NSIDC we consider the EPSG 3411 and 3412 as deprecated and replaced this with 3413 and 3976 in v3.3 (https://nsidc.org/data/polar-stereo/ps_grids.html).
- NetCDF format update: Furthermore, the output of L3 data in updated to NetCDF v4.
Version
Date
Comments
v3.2
15.10.2018
Official ESA release
borderWidth | 0 |
---|
Product Description
Overview
Table 1: Overview of SMOS Product
Parameter
Sea ice thickness
Spatial covergae
Northern hemisphere, poleward of 50°N, -180°E to 180°E
Spatial Resolution
12.5 km x12.5 km
Temporal Coverage:
since 15. Oct. 2010
Temporal Resolution
1 day
Data Format(s)
NetCDF v4
Platforms
SMOS
Version
v3.3
File name
NetCDF files are named as:
SMOS_Icethickness_v3.3_north_<date>.nc
File Format
Daily mean SMOS sea ice thickness is given in NetCDF v4 format. Global attributes are given in Table 2. The variables are given as grid arrays as listed in Table 3.
Table 2: Global attributes from an example NetCDF file.
Attribute
Value
title
Daily gridded sea-ice thickness and auxiliary parameters from satellite L-band radiometry data
project
CS2SMOS PDS CR-1: SMOS Sea Ice Data Product Processing and Dissemination Tasks, supported by ESA
institution
Alfred-Wegener-Institut Helmholtz Zentrum für Polar und Meeresforschung (AWI), http://www.awi.de
contributor_name
Xiangshan Tian-Kunze, Lars Kaleschke, Stefan Hendricks
publisher_email
platform
“ESA Soil Moisture and Ocean Salinity (SMOS) mission”
sensor
“Microwave Imaging Radiometer using Aperture Synthesis (MIRAS)”
source
SMOS v724 L1C brightness temperature
product_version
v3.3
Processing level
L3c
grid
NSIDC polar stereographic projection. https://nsidc.org/data/polar-stereo/ps_grids.html
tracking id
08533af0-7656-4f35-b0a8-7ae4081a2c9a
naming authority
de.awi
history
Product generated with SMOS sea ice thickness retrieval Algorithm v3.3
summary
This dataset contains Level-3 daily sea ice thickness products from satellite observations in the northern hemisphere. Northern hemisphere sea ice thickness coverage is limited to the winter month between October and April. 100% sea ice coverage is assumed, which leads to underestimation of sea ice thickness.
topiccategory
Oceans Climatology Meteorology Atmosphere
keywords
Earth Science > Cryosphere > Sea Ice > Ice Depth/Thickness, Earth Science > Oceans > Sea Ice > Ice Depth/Thickness, Earth Science > Climate Indicators > Cryospheric Indicators > Ice Depth/Thickness, Geographic Region > Northern Hemisphere, Vertical Location > Sea Surface, Institutions > AWI > Alfred Wegener Institute for Polar and Marine Research
id
awi-cs2smos-l3c-sithick-smos-nh_12p5_km_polstereo-YYMMDD-fv3p3
doi
none
Date_created
e.g. “Tue Mar 24 17:37:59 2020”
spatial_resolution
12.5 km grid spacing
time_coverage_duration
P1D
time_coverage_start
yyyy-mm-ddT00:00:00
time_coverage_end
yyyy-mm-ddT23:59:59
time_coverage_resolution
P1D
geospatial_bounds_crs
EPSG:3413
geospatial_lat_max
90.0
geospatial_lat_min
50.0
geospatial_lon_max
180.0
geospatial_lon_min
-180.0
geospatial_vertical_max
0.0
geospatial_vertical_min
0.0
references
1) Kaleschke, L., X. Tian-Kunze, N. Maass, M. Maekynen, and M. Drusch (2012), Sea ice thickness retrieval from SMOS brightness temperatures during the Arctic freeze-up period, Geophys. Res. Lett., 39, L05501, doi:10.1029/2012GL050916. (2) Tian-Kunze, X., Kaleschke, L., Maass, N., Maekynen, M., Serra, N., Drusch, M., and Krumpen, T., SMOS-derived sea ice thickness: algorithm baseline, product specifications and initial verification, The Cryosphere, 8, 997-1018, doi:10.5194/tc-8-997-2014, 2014 (3) Kaleschke, L., Tian-Kunze, X., Maass, N., Beitsch, A., Wernecke, A., Miernecki, M. and others, SMOS sea ice product: operational application and validation in the Barents Sea marginal ice zone, Remote Sensing of Environment 180 (2016), 264-273. doi: 10.1016/j.rse.2016.03.009 (4) Tietsche, S., Alonso-Balmaseda, M., Rosnay, P., Zuo, H., Tian-Kunze, X., and Kaleschke, L.: Thin Arctic sea ice in L-band observations and an ocean reanalysis, The Cryosphere, 12, 2051-2072, https://doi.org/10.5194/tc-12-2051-2018, 2018.
Table 3: NetCDF file content.
x
float32
1 x 896 x 608
ratio of retrieved ice thickness and maximal retrievable ice thickness
brightness temperature intensity (TBh+TBv)/2
brightness temperature uncertainty defined as one standard deviation of TB devided by the sqrt(nPair)
SMOS derived snow surface temperature
Bulk ice salinity
number of TBh and TBv pairs available
percent of RFI-contaminated measurements in total measurements
land_binary_mask
hours since 2010-01-01 00:00:00
borderColor | Gainsboro |
---|---|
borderWidth | 0 |
borderStyle | solid |
Grid
Table 4: Northern Hemisphere Grid Coordinates of NSIDC Polar Stereographic Grids
(ref.: https://nsidc.org/data/polar-stereo/ps_grids.html)
X (km)
Y (km)
Latitude (deg)
Longitude (deg)
position
-3850
5850
30.98
168.35
corner
0
5850
39.43
135.00
midpoint
3750
5850
31.37
102.34
corner
3750
0
56.35
45.00
midpoint
3750
-5350
34.35
350.03
corner
0
-5350
43.28
315.00
midpoint
-3850
-5350
33.92
279.26
corner
-3850
0
55.50
225.00
midpoint
Panel | ||||||||
---|---|---|---|---|---|---|---|---|
| ||||||||
LinksESA Websites: |
Panel | ||||||||
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Contact |