Dataset: ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Surface Elevation Change grid from SARAL-AltiKa for 2013-2017, v0.1
Dataset identifier: esacci.ICESHEETS.unspecified.L4.SEC.multi-sensor.multi-platform.UNSPECIFIED.0-1.greenland_sec_saral_altikaData store: cciodp
How to open this dataset in AVL JupyterLab ⧉
cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.ICESHEETS.unspecified.L4.SEC.multi-sensor.multi-platform.UNSPECIFIED.0-1.greenland_sec_saral_altika')
Bounding box map
Map tiles and data from OpenStreetMap , under the ODbL .
Parameter
Value
Bounding box longitude (°)
-80.0 to -10.0
Bounding box latitude (°)
60.0 to 90.0
Time range
2013-03-31 to 2017-03-31
Click here for full dataset metadata.
Variable list
Click on a variable name to jump to the variable’s full metadata.
Variable
Long name
Units
t Average time for time slice
days since 2000-01-01 00:00:00
start_time Start of time slice
days since 2000-01-01 00:00:00
end_time End of time slice
days since 2000-01-01 00:00:00
grid_projection [none]
[none]
CS2SEC CryoSat-2 Surface elevation changes, 10.0 km gaussian filter
[none]
CS2SEC_error CryoSat-2 Error estimates associated with surface elevation changes
[none]
AltiKaSEC AltiKA surface elevation changes, 10.0 km gaussian filter
[none]
AltiKaSEC_error AltiKa Error estimates associated with surface elevation changes
[none]
Field
Value
long_name
Average time for time slice
units
days since 2000-01-01 00:00:00
title
Time
calendar
gregorian
orig_data_type
float32
fill_value
None
size
1
shape
1
chunk_sizes
1
file_chunk_sizes
1
data_type
float32
dimensions
Time
file_dimensions
Time
Field
Value
calendar
gregorian
long_name
Start of time slice
units
days since 2000-01-01 00:00:00
title
Time
orig_data_type
float32
fill_value
None
size
1
shape
1
chunk_sizes
1
file_chunk_sizes
1
data_type
float32
dimensions
Time
file_dimensions
Time
Field
Value
long_name
End of time slice
units
days since 2000-01-01 00:00:00
title
Time
calendar
gregorian
orig_data_type
float32
fill_value
None
size
1
shape
1
chunk_sizes
1
file_chunk_sizes
1
data_type
float32
dimensions
Time
file_dimensions
Time
Field
Value
grid_mapping_name
polar_stereographic
latitude_of_projection_origin
90.0
standard_parallel
70.0
straight_vertical_longitude_from_pole
-45.0
ellipsoid
WGS84
false_easting
0.0
false_northing
0.0
DODS
strlen: 0
orig_data_type
bytes1024
size
1
shape
1
chunk_sizes
1
file_chunk_sizes
1
data_type
bytes1024
dimensions
file_dimensions
Field
Value
long_name
CryoSat-2 Surface elevation changes, 10.0 km gaussian filter
Contributor
DTU-GDK
Comment
CCI version of the LSM5 from Simonsen et al. 2017
Source
Cryosat-2
Bias_correction
Backscatter and LeW
Time
April 2013 until April 2017
level1_source
Cryosat L1 Baseline C
geophysical_corrections
All applied to the Cryosat L2 produce
slope_correction
GIMP and MSSL slope model from L2 product
backscatter_corrections
Backscatter and Leading edge
Gridding_method
Weighted interpolation
grid_mapping
grid_projection
ref
Simonsen et al. 2017
Units
m/yr
orig_data_type
float32
fill_value
9999.99
size
402590
shape
635, 634, 1
chunk_sizes
635, 634, 1
file_chunk_sizes
635, 634, 1
data_type
float32
dimensions
y, x, Time
file_dimensions
y, x, Time
Field
Value
long_name
CryoSat-2 Error estimates associated with surface elevation changes
Contributor
DTU-GDK
Comment
CCI version of the LSM5 from Simonsen et al. 2017
Source
Cryosat-2
Bias_correction
Backscatter and LeW
Time
April 2013 until April 2017
level1_source
Cryosat L1 Baseline C
geophysical_corrections
All applied to the Cryosat L2 produce
slope_correction
GIMP and MSSL slope model from L2 product
backscatter_corrections
Backscatter and Leading edge
Gridding_method
Weighted interpolation
grid_mapping
grid_projection
Units
m/yr
orig_data_type
float32
fill_value
9999.99
size
402590
shape
635, 634, 1
chunk_sizes
635, 634, 1
file_chunk_sizes
635, 634, 1
data_type
float32
dimensions
y, x, Time
file_dimensions
y, x, Time
Field
Value
long_name
AltiKA surface elevation changes, 10.0 km gaussian filter
Contributor
DTU-GDK
Comment
CCI version
Source
AltiKA
Bias_correction
Backscatter and LeW
Time
April 2013 until April 2017
level1_source
AltiKa
geophysical_corrections
All applied to the AltiKa L2 produce
slope_correction
GIMP slope model from L2 product
backscatter_corrections
Backscatter and Leading edge
Gridding_method
Weighted interpolation
grid_mapping
grid_projection
ref
Greenland CCI, pers. com Simonsen 2017
Units
m/yr
orig_data_type
float32
fill_value
9999.99
size
402590
shape
635, 634, 1
chunk_sizes
635, 634, 1
file_chunk_sizes
635, 634, 1
data_type
float32
dimensions
y, x, Time
file_dimensions
y, x, Time
Field
Value
long_name
AltiKa Error estimates associated with surface elevation changes
Contributor
DTU-GDK
Comment
CCI version
Source
AltiKa
Bias_correction
Backscatter and LeW
Time
April 2013 until April 2017
level1_source
AltiKa
geophysical_corrections
All applied to the AltiKa L2 produce
slope_correction
GIMP Slope model from L2 product
backscatter_corrections
Backscatter and Leading edge
Gridding_method
Weighted interpolation
grid_mapping
grid_projection
Units
m/yr
orig_data_type
float32
fill_value
9999.99
size
402590
shape
635, 634, 1
chunk_sizes
635, 634, 1
file_chunk_sizes
635, 634, 1
data_type
float32
dimensions
y, x, Time
file_dimensions
y, x, Time
Field
Value
product_version
0-1
ecv
ICESHEETS
institute
DTU-Space, Department of Geodynamics
processing_level
L4
product_string
UNSPECIFIED
data_type
SEC
abstract
This data set is part of the ESA Greenland Ice sheet CCI project. The data set provides surface elevation changes (SEC) for the Greenland Ice sheet derived from SARAL-AltiKa for 2013-2017. This new experimental product of surface elevation change is based on data from the AltiKa-instrument onboard the France (CNES)/Indian (ISRO) SARAL satellite. The AktiKa altimeter utilizes Ka-band radar signals, which have less penetration in the upper snow. However, the surface slope and roughness has an imprint in the derived signal and the new product is only available for the flatter central parts of the Greenland ice sheet. The corresponding SEC grid from Cryosat-2 is included for comparison. The algorithm used to devive the product is described in the paper “Implications of changing scattering properties on the Greenland ice sheet volume change from Cryosat-2 altimetry” by S.B. Simonsen and L.S. Sørensen, Remote Sensing of the Environment, 190,pp.207-216, doi:10.1016/j.rse.2016.12.012. The approach used here corresponds to Least Squares Method (LSM) 5 described in the paper, in which the slope within each grid cell is accounted for by subtraction of the GIMP DEM; the data are corrected for both backscatter and leading edge width; and the LSM is solved at 1 km grid resolution (2 km search radius) and averaged in the post-processing to 5 km grid resolution and with a correlation length of 20 km.
title
ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Surface Elevation Change grid from SARAL-AltiKa for 2013-2017, v0.1
publication_date
2018-11-22T17:59:03
uuid
0470e96f2d8245549ef2ba81842cdfd8
catalog_url
https://catalogue.ceda.ac.uk/uuid/0470e96f2d8245549ef2ba81842cdfd8
sensor_id
multi-sensor
platform_id
multi-platform
cci_project
ICESHEETS
