Dataset: Baltic Sea - SST Analysis#
Dataset identifier: DMI-BALTIC-SST-L3S-NRT-OBS_FULL_TIME_SERIE
Data store: cmems
How to open this dataset in AVL JupyterLab
cmems_store = new_data_store('cmems')
ds = cmems_store.open_data('DMI-BALTIC-SST-L3S-NRT-OBS_FULL_TIME_SERIE')
Bounding box map#
cmems_store = new_data_store('cmems')
ds = cmems_store.open_data('DMI-BALTIC-SST-L3S-NRT-OBS_FULL_TIME_SERIE')
Map tiles and data from OpenStreetMap, under the ODbL.
Basic information#
| Parameter | Value |
|---|---|
| Bounding box longitude (°) | -10.00999975 to 30.00999975 |
| Bounding box latitude (°) | 47.98999975 to 66.01000025 |
| Time range | 2019-03-11 to 2023-04-15 |
| Publisher | GHRSST project office |
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 |
|---|---|---|
| mask | land sea ice lake bit mask | [none] |
| or_number_of_sst_pixels | number of pixels from the L2Ps contributing to the SST value | [none] |
| quality_level | quality level of SST pixel | [none] |
| sea_ice_fraction | sea ice area fraction | 1 |
| sea_surface_temperature | sea surface foundation temperature | kelvin |
| source_of_sst | SST product origin | 1 |
| sses_bias | SSES bias error | kelvin |
| sses_standard_deviation | SSES standard deviation | kelvin |
| sst_dtime | time difference from reference time | [none] |
| sum_square_sst | sum of contributing pixel sst value squares | Celsius2 |
| sum_sst | sum of contributing pixel sst values | Celsius |
Full variable metadata#
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_sst_pixels#
| Field | Value |
|---|---|
| long_name | number of pixels from the L2Ps contributing to the SST value |
| comment | Original number of pixels from the L2Ps contributing to the SST value |
| valid_min | 0 |
| valid_max | 32767 |
quality_level#
| Field | Value |
|---|---|
| long_name | quality level of SST 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 |
sea_surface_temperature#
| Field | Value |
|---|---|
| standard_name | sea_surface_temperature |
| long_name | sea surface foundation temperature |
| units | kelvin |
| comment | Foundation sea surface temperature of the ocean |
| source | OSI-SAF and GHRSST L2P satellite SST products |
| valid_min | -300 |
| valid_max | 4500 |
source_of_sst#
| Field | Value |
|---|---|
| long_name | SST 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 |
sst_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_sst#
| Field | Value |
|---|---|
| long_name | sum of contributing pixel sst value squares |
| units | Celsius2 |
| comment | Sum of original contributing pixel sst value squares |
| valid_min | 0.0 |
| valid_max | 900000.0 |
sum_sst#
| Field | Value |
|---|---|
| long_name | sum of contributing pixel sst values |
| units | Celsius |
| comment | Sum of original contributing pixel sst values |
| valid_min | -999.0 |
| valid_max | 90000.0 |
Full dataset metadata#
| Field | Value |
|---|---|
| Conventions | CF-1.6 |
| title | Baltic Sea - SST Analysis |
| summary | DMI Sea Surface Temperature supercollated level 3 field (L3S) using multisensor nighttime satellite SST observations |
| references | Høyer, J. L., Le Borgne, P., & 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 GMES data policy |
| id | DMI-L3S_GHRSST-SSTsubskin-night_SST_UHR_NRT-NSEABALTIC- |
| naming_authority | org.ghrsst |
| product_version | Version 1.0 |
| uuid | 9fbb2277-82a8-4be7-97f0-407496de2113 |
| gds_version_id | 2.0 |
| netcdf_version_id | netcdf-4.3.3.1, 27 February 2015 |
| date_created | 20230415T062756Z |
| file_quality_level | 3 |
| spatial_resolution | 0.02 degrees |
| start_time | 20230415T000000Z |
| time_coverage_start | 20230415T000000Z |
| stop_time | 20230416T000000Z |
| time_coverage_end | 20230416T000000Z |
| westernmost_longitude | -10.0 |
| easternmost_longitude | 30.0 |
| southernmost_latitude | 48.0 |
| northernmost_latitude | 66.0 |
| source | VIIRS_SST_NPP_NAR-OSISAF-L3C, SEVIRI_SST-OSISAF-L3C, EUR-L2P-AVHRR_METOP_B, NAVO-VIIRS_NPP, VIIRS_N20_ACSPO, MyOcean_HR_ICE |
| platform | NOAA-20, MetOpB, MSG2, SUOMI NPP, Sentinel 3 |
| sensor | AVHRR, SEVIRI, VIIRS, 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 | 0.02 |
| geospatial_lon_resolution | 0.02 |
| acknowledgment | Please acknowledge the use of these data with the following statement: These data were provided by DMI and GHRSST |
| creator_name | Jacob L. Hoeyer |
| creator_email | jlh@dmi.dk |
| creator_url | http://ocean.dmi.dk/satellite/ |
| project | Copernicus Marine Environmental Monitoring Service (CMEMS) SST-TAC |
| publisher_name | GHRSST project office |
| publisher_url | http://www.ghrsst.org |
| publisher_email | ghrsst-po@nceo.ac.uk |
| 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 |