Dataset: Sea Ice Concentration Climate Data Record from ESA CCI#
Dataset identifier: ESACCI-SEAICE-L4-SICONC-AMSR_50.0kmEASE2-NH-2002-2017-fv2.1.zarr
Data store: ccizarr
How to open this dataset in AVL JupyterLab
ccizarr_store = new_data_store('ccizarr')
ds = ccizarr_store.open_data('ESACCI-SEAICE-L4-SICONC-AMSR_50.0kmEASE2-NH-2002-2017-fv2.1.zarr')
Basic information#
ccizarr_store = new_data_store('ccizarr')
ds = ccizarr_store.open_data('ESACCI-SEAICE-L4-SICONC-AMSR_50.0kmEASE2-NH-2002-2017-fv2.1.zarr')
| Parameter | Value |
|---|---|
| Bounding box longitude (°) | -5400.0 to 5400.0 |
| Bounding box latitude (°) | -5400.0 to 5400.0 |
| Time range | 2002-06-01 to 2017-05-16 |
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 |
|---|---|---|
| algorithm_standard_error | algorithm uncertainty (one standard deviation) of concentration of sea ice | % |
| ice_conc | fully filtered concentration of sea ice using atmospheric correction of brightness temperatures and open water filters | % |
| raw_ice_conc_values | sea ice concentration estimates as retrieved by the algorithm, and that were edited away by the various filters | % |
| smearing_standard_error | smearing uncertainty (one standard deviation) of concentration of sea ice | % |
| status_flag | status flag bit array for sea ice concentration retrievals | [none] |
| total_standard_error | total uncertainty (one standard deviation) of concentration of sea ice | % |
Full variable metadata#
algorithm_standard_error#
| Field | Value |
|---|---|
| comment | this is one of the two components contributing to 'total_standard_error' |
| grid_mapping | Lambert_Azimuthal_Grid |
| long_name | algorithm uncertainty (one standard deviation) of concentration of sea ice |
| units | % |
ice_conc#
| Field | Value |
|---|---|
| ancillary_variables | total_standard_error status_flag |
| comment | this field is the primary sea ice concentration estimate for this climate data record |
| grid_mapping | Lambert_Azimuthal_Grid |
| long_name | fully filtered concentration of sea ice using atmospheric correction of brightness temperatures and open water filters |
| standard_name | sea_ice_area_fraction |
| units | % |
| valid_max | 10000 |
| valid_min | 0 |
raw_ice_conc_values#
| Field | Value |
|---|---|
| comment | this field can be used in combination with 'ice_conc' to access un-bounded normal distribution of sea ice concentration estimates corresponding to the uncertainty estimate in 'total_standard_error'. It does also feature some amount of un-physical data (below 0% and above 100%). |
| grid_mapping | Lambert_Azimuthal_Grid |
| long_name | sea ice concentration estimates as retrieved by the algorithm, and that were edited away by the various filters |
| units | % |
smearing_standard_error#
| Field | Value |
|---|---|
| comment | this is one of the two components contributing to 'total_standard_error' |
| grid_mapping | Lambert_Azimuthal_Grid |
| long_name | smearing uncertainty (one standard deviation) of concentration of sea ice |
| units | % |
status_flag#
| Field | Value |
|---|---|
| comment | Flag values found in the map might be combinations of those listed above. For example flag value 80 (= 2^4 + 2^6 = 16 + 64) indicates high_t2m AND temporal_interp |
| flag_descriptions | all bits to 0 (flag 0): Nominal retrieval by the SIC algorithm bit 1 (flag 1): Position is over land bit 2 (flag 2): Position is lake bit 3 (flag 4): SIC is set to zero by the open water filter bit 4 (flag 8): SIC value is changed for correcting land spill-over effects bit 5 (flag 16): Handle with caution, the 2m air temperature is high at this position, and this might be false ice bit 6 (flag 32): Value is the result of spatial interpolation bit 7 (flag 64): Value is the result of temporal interpolation bit 8 (flag 128): SIC is set to zero since position is outside maximum sea ice climatology. |
| flag_masks | 1, 2, 4, 8, 16, 32, 64, 128 |
| flag_meanings | land lake open_water_filtered land_spill_over high_t2m spatial_interp temporal_interp max_ice_climo |
| grid_mapping | Lambert_Azimuthal_Grid |
| long_name | status flag bit array for sea ice concentration retrievals |
| standard_name | sea_ice_area_fraction status_flag |
| valid_max | 32767 |
| valid_min | 0 |
total_standard_error#
| Field | Value |
|---|---|
| grid_mapping | Lambert_Azimuthal_Grid |
| long_name | total uncertainty (one standard deviation) of concentration of sea ice |
| standard_name | sea_ice_area_fraction standard_error |
| units | % |
Full dataset metadata#
| Field | Value |
|---|---|
| Conventions | CF-1.6 ACDD-1.3 |
| Lambert_Azimuthal_Grid | -2147483647 |
| algorithm | SICCI2VLF (6V, 37V, 37H) |
| cdm_data_type | Grid |
| contributor_name | Leif Toudal Pedersen, Gorm Dybkjaer, Steinar Eastwood, Georg Heygster, Natalia Ivanova, Stefan Kern, Thomas Lavergne, Roberto Saldo, Stein Sandven, Atle Soerensen, Rasmus Tonboe |
| contributor_role | PrincipalInvestigator,author,author,author,author,author,author,author,author,author,author |
| creator_email | forskning@met.no |
| creator_name | Norwegian Meteorological Institute |
| creator_type | institution |
| creator_url | http://met.no |
| date_created | 2017-08-03 |
| geospatial_bounds_crs | EPSG:6931 |
| geospatial_lat_max | 90.0 |
| geospatial_lat_min | 16.62393 |
| geospatial_lon_max | 180.0 |
| geospatial_lon_min | -180.0 |
| geospatial_vertical_max | 0.0 |
| geospatial_vertical_min | 0.0 |
| history | 2017-08-03T09:18:25Z creation |
| id | 10.5285/5f75fcb0c58740d99b07953797bc041e |
| institution | Norwegian Meteorological Institute |
| keywords | Earth Science > Cryosphere > Sea Ice > Sea Ice Concentration Earth Science > Oceans > Sea Ice > Sea Ice Concentration Earth Science > Climate Indicators > Cryospheric Indicators > Sea Ice Concentration,Geographic Region > Northern Hemisphere,Vertical Location > Sea Surface,NO/MET > Norwegian Meteorological Institute |
| keywords_vocabulary | GCMD Science Keywords |
| license | Free and open access |
| naming_authority | NERC Centre for Environmental Data Analysis |
| platform | Aqua,GCOM-W1 |
| product_version | 2.1 |
| project | Climate Change Initiative - European Space Agency |
| references | Product User Guide DX.X Issue X.X,Algorithm Theoretical Basis Document v3 DX.X Issue X.X,http://www.esa-seaice-cci.org,http://www.esa-cci.org |
| sensor | AMSRE,AMSR2 |
| source | FCDR of AMSR-E Brightness Temperatures V3 (doi: 10.5067/AMSR-E/AE_L2A.003), AMSR2 L1R data from JAXA,ERA-Interim fields from ECMWF (doi: 10.1002/qj.828) |
| spatial_resolution | 50.0 km grid spacing |
| standard_name_vocabulary | CF Standard Name Table (v36, 21 September 2016) |
| summary | This climate data record of sea ice concentration is obtained from medium resolution passive microwave satellite data over the polar regions (AMSR-E and AMSR2). The processing chain features: 1) dynamic tuning of tie-points and algorithms, 2) correction of atmospheric noise using a Radiative Transfer Model, 3) computation of per-pixel uncertainties, and 4) an optimal hybrid sea ice concentration algorithm. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI). The EUMETSAT OSI SAF contributed with access and re-use of part of its processing software and facilities. |
| time_coverage_duration | P1D |
| time_coverage_end | 19700101T000001 |
| time_coverage_resolution | P1D |
| time_coverage_start | 19700101T000001 |
| title | Sea Ice Concentration Climate Data Record from ESA CCI |
| topiccategory | Oceans ClimatologyMeteorologyAtmosphere |
| tracking_id | 19fbb910-dd02-4b1f-a078-a69ed3883d4b |