Dataset: DMI Arctic SST/IST, L3S , (SEAICE_ARC_PHY_CLIMATE_L3_MY_011_021)#
Dataset identifier: cmems_obs-si_arc_phy_my_L3S-DMIOI_P1D-m
Data store: cmems
How to open this dataset in AVL JupyterLab
cmems_store = new_data_store('cmems')
ds = cmems_store.open_data('cmems_obs-si_arc_phy_my_L3S-DMIOI_P1D-m')
Bounding box map#
cmems_store = new_data_store('cmems')
ds = cmems_store.open_data('cmems_obs-si_arc_phy_my_L3S-DMIOI_P1D-m')
Map tiles and data from OpenStreetMap, under the ODbL.
Basic information#
| Parameter | Value |
|---|---|
| Bounding box longitude (°) | -180 to 180 |
| Bounding box latitude (°) | 57.975 to 89.9749969482422 |
| Time range | 1982-01-01 to 2021-05-31 |
| Time period | 1D |
| Publisher | CMEMS SI TAC and DMI |
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 |
|---|---|---|
| analysed_st | analysed sea and ice surface temperature | kelvin |
| mask | land sea ice lake bit mask | [none] |
| or_number_of_st_pixels | number of pixels from the L2P/L3U contributing to the surface temperature value | [none] |
| quality_level | quality level of Surface Temperature pixel | [none] |
| sea_ice_fraction | sea ice area fraction | 1 |
| source_of_st | surface temperature product origin | 1 |
| sses_bias | SSES bias error | kelvin |
| sses_standard_deviation | SSES standard deviation | kelvin |
| st_dtime | time difference from reference time | [none] |
| sum_square_st | sum of contributing pixel surface temperature value squares | Celsius2 |
| sum_st | sum of contributing pixel surface temperature values | Celsius |
Full variable metadata#
analysed_st#
| Field | Value |
|---|---|
| standard_name | surface_temperature |
| long_name | analysed sea and ice surface temperature |
| units | kelvin |
| comment | Foundation sea and ice surface temperature of the ocean |
| source | OSI-SAF and GHRSST L2P/L3U satellite ST products |
| valid_min | -6000 |
| valid_max | 4500 |
mask#
| Field | Value |
|---|---|
| long_name | land sea ice lake bit mask |
| comment | Mask can be used to further filter the data |
| flag_meanings | water land optional_lake_surface sea_ice optional_river_surface |
| source | NAVOCEANO_landmask_v1.0, Myocean_HR_ice |
| flag_masks | 1, 2, 4, 8, 16 |
| valid_min | 0 |
| valid_max | 31 |
or_number_of_st_pixels#
| Field | Value |
|---|---|
| long_name | number of pixels from the L2P/L3U contributing to the surface temperature value |
| comment | Original number of pixels from the L2P/L3U contributing to the ST value |
| valid_min | 0 |
| valid_max | 32767 |
quality_level#
| Field | Value |
|---|---|
| long_name | quality level of Surface Temperature pixel |
| comment | These are the overall quality indicators and are used for all GHRSST SSTs |
| flag_values | 0, 1, 2, 3, 4, 5 |
| flag_meanings | no_data bad_data worst_quality low_quality acceptable_quality best_quality |
| valid_min | 0 |
| valid_max | 5 |
sea_ice_fraction#
| Field | Value |
|---|---|
| standard_name | sea_ice_area_fraction |
| long_name | sea ice area fraction |
| units | 1 |
| comment | This will be different for each system |
| source | MyOcean HR icemask |
| valid_min | 0 |
| valid_max | 100 |
source_of_st#
| Field | Value |
|---|---|
| long_name | surface temperature product origin |
| units | 1 |
| comment | code: EUR-L2P-NARNPP_SST = 1; NAVO-L2P-AVHRR19_L = 2; VIIRS_N20-OSPO-L2P = 4;NAVO-L2P-NPP = 8; EUR-L2P-SLSTR = 16 EUR-L3-SEVIRI_SST = 32;GOES16-OSISAF-L3C = 64; EUR-L2P-AVHRR_METOP_A = 128 |
| flag_masks | 1, 2, 4, 8, 16, 32, 64, 128, 256, 512 |
| valid_min | 0 |
| valid_max | 32767 |
sses_bias#
| Field | Value |
|---|---|
| long_name | SSES bias error |
| units | kelvin |
| comment | SSES bias error |
| valid_min | -127 |
| valid_max | 127 |
sses_standard_deviation#
| Field | Value |
|---|---|
| long_name | SSES standard deviation |
| units | kelvin |
| comment | Standard deviation estimate |
| valid_min | -127 |
| valid_max | 127 |
st_dtime#
| Field | Value |
|---|---|
| long_name | time difference from reference time |
| comment | time plus sst_dtime gives seconds after 00:00:00 UTC January 1, 1981 |
| valid_min | -2147483647 |
| valid_max | 2147483647 |
sum_square_st#
| Field | Value |
|---|---|
| long_name | sum of contributing pixel surface temperature value squares |
| units | Celsius2 |
| comment | Sum of original contributing pixel st value squares |
| valid_min | 0.0 |
| valid_max | 900000.0 |
sum_st#
| Field | Value |
|---|---|
| long_name | sum of contributing pixel surface temperature values |
| units | Celsius |
| comment | Sum of original contributing pixel st values |
| valid_min | -999.0 |
| valid_max | 90000.0 |
Full dataset metadata#
| Field | Value |
|---|---|
| Conventions | CF-1.6 |
| title | DMI Arctic SST/IST, L3S , (SEAICE_ARC_PHY_CLIMATE_L3_MY_011_021) |
| summary | DMI Sea and Sea Ice Surface Temperature supercollated level 3 field (L3S) using multisensor satellite SST and IST observations |
| references | Hoeyer, J. L., Le Borgne, P., et Eastwood, S. (2014). A bias correction method for Arctic satellite sea surface temperature observations. Remote Sensing of Environment, 146, 201-213. |
| institution | Danish Meteorological Institute, DMI |
| history | Version 1.0 |
| license | these data are available free of charge under the Copernicus CMEMS data policy |
| id | DMI-L3S_GHRSST-ST-ARC_SST_IST- |
| naming_authority | org.ghrsst |
| product_version | Version 1.0 |
| uuid | 38c87cda-f924-4d1b-a560-b95b145bd133 |
| gds_version_id | 2.0 |
| netcdf_version_id | netcdf-4.3.3.1, 27 February 2015 |
| date_created | 20220514T140326Z |
| file_quality_level | 3 |
| spatial_resolution | 0.05 degrees |
| start_time | 20210531T000000Z |
| time_coverage_start | 20210531T000000Z |
| stop_time | 20210601T000000Z |
| time_coverage_end | 20210601T000000Z |
| westernmost_longitude | -179.975 |
| easternmost_longitude | 179.975 |
| southernmost_latitude | 58.0 |
| northernmost_latitude | 89.95 |
| source | ESA SST CCI, C3S and AASTIv2 SST and IST L2P. OSI-SAF, ESA CCI, CMEMS FMI and SMHI Sea ice concentration |
| platform | NOAA, ERS, ENVISAT, SENTINEL 3, MetOp |
| sensor | AVHRR, (A)ATSR, SLSTR |
| Metadata_Conventions | Unidata Dataset Discovery v1.0 |
| metadata_link | http://data.nodc.noaa.gov/NESDIS_DataCenters/metadata/index.html |
| keywords | Oceans > Ocean Temperature > Sea Surface Temperature |
| keywords_vocabulary | NASA Global Change Master Directory (GCMD) Science Keywords |
| standard_name_vocabulary | NetCDF Climate and forecast (CF) Metadata Convention |
| geospatial_lat_units | degrees north |
| geospatial_lon_units | degrees east |
| geospatial_lat_resolution | 0.05 |
| geospatial_lon_resolution | 0.05 |
| acknowledgment | Please acknowledge the use of these data with the following statement: These data were provided by DMI and the Copernicus CMEMS project |
| creator_name | Jacob L. Hoeyer |
| creator_email | jlh@dmi.dk |
| creator_url | http://ocean.dmi.dk/satellite/ |
| project | Copernicus CMEMS SI TAC project |
| publisher_name | CMEMS SI TAC and DMI |
| publisher_url | https://marine.copernicus.eu/ |
| publisher_email | servicedesk.cmems@mercator-ocean.eu |
| processing_level | L3S |
| cdm_data_type | grid |
| comment | IN NO EVENT SHALL DMI OR ITS REPRESENTATIVES BE LIABLE FOR ANY DAMAGES WHATSOEVER INCLUDING, WITHOUT LIMITATION, SPECIAL, INDIRECT, INCIDENTAL OR CONSEQUENTIAL DAMAGES OR DAMAGES FOR LOSS OF BUSINESS PROFITS OR SAVINGS, BUSINESS INTERRUPTION, LOSS OF BUSINESS INFORMATION OR OTHER PECUNIARY LOSS ARISING OUT OF THE USE OF OR THE BUSINESS INTERRUPTION, LOSS OF BUSINESS INFORMATION OR OTHER PECUNIARY LOSS ARISING OUT OF THE USE OF OR THE INABILITY TO USE THIS DMI PRODUCT, EVEN IF DMI HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. THIS LIMITATION SHALL APPLY TO CLAIMS OF PERSONAL INJURY TO THE EXTENT PERMITTED BY LAW. SOME COUNTRIES OR STATES DO NOT ALLOW THE EXCLUSION OR LIMITATION OF LIABILITY FOR CONSEQUENTIAL, SPECIAL, INDIRECT, INCIDENTAL DAMAGES AND, ACCORDINGLY, SOME PORTIONS OF THESE LIMITATIONS MAY NOT APPLY TO YOU. BY USING THIS PRODUCT, YOU HAVE ACCEPTED THAT THE ABOVE LIMITATIONS OR THE MAXIMUM LEGALLY APPLICABLE SUBSET OF THESE LIMITATIONS APPLY TO YOUR USE OF THIS PRODUCT. WARNING Some applications are unable to properly handle signed bytevalues. If values are encountered > 127, please subtract 256 from this reported value |