SMOS Freeze and Thaw Processing and Dissemination Service
How to open this dataset in DeepESDL JupyterLab
from xcube.core.store import new_data_store
store = new_data_store("s3", root="deep-esdl-public", storage_options=dict(anon=True))
ds = store.open_data('SMOS-snow-1x720x720-1.0.1.zarr')
Bounding box map
Map tiles and data from OpenStreetMap, under the ODbL.
| Parameter |
Value |
| Bounding box longitude (°) |
-180 to 180 |
| Bounding box latitude (°) |
0 to 85 |
| Time range |
2010-07-01 to 2023-03-09 |
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 |
| L3FT |
SMOS Level 3 Freeze Thaw Estimates |
[none] |
| PM |
Processing Mask |
[none] |
| quality_flag |
Quality Flag |
[none] |
| uncertainty |
Uncertainty |
[none] |
L3FT
| Field |
Value |
| flag_meanings |
Thaw Partial Frozen |
| flag_values |
1, 2, 3 |
| grid_mapping |
crs |
| long_name |
SMOS Level 3 Freeze Thaw Estimates |
| valid_range |
1, 3 |
PM
| Field |
Value |
| grid_mapping |
crs |
| long_name |
Processing Mask |
| valid_range |
0, 8 |
crs
| Field |
Value |
| GeoTransform |
-9000000 25000 0 9000000 0 -25000 |
| false_easting |
0 |
| false_northing |
0 |
| grid_mapping_name |
lambert_azimuthal_equal_area |
| inverse_flattening |
298 |
| latitude_of_projection_origin |
90 |
| longitude_of_prime_meridian |
0 |
| longitude_of_projection_origin |
0 |
| semi_major_axis |
6380000.0 |
| spatial_ref |
PROJCS["unnamed",GEOGCS["WGS 84",DATUM["unknown",SPHEROID["WGS84",6378137,298.257223563]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433]],PROJECTION["Lambert_Azimuthal_Equal_Area"],PARAMETER["latitude_of_center",90],PARAMETER["longitude_of_center",0],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]] |
quality_flag
| Field |
Value |
| grid_mapping |
crs |
| long_name |
Quality Flag |
| valid_range |
0, 255 |
uncertainty
| Field |
Value |
| grid_mapping |
crs |
| long_name |
Uncertainty |
| valid_range |
0, 100 |
| Field |
Value |
| ancillarydata_2mair |
Ancillary data for 2m airtemperature: ECMWF ERA Interim reanalysis (1-Jul-2010 - 31-Jul-2018) and ECMWF NRT data (1-Aug-2018 onwards) |
| ancillarydata_snowcover |
Ancillary data for snow cover: IMS DAILY NORTHERN HEMISPHERE SNOW AND ICE ANALYSIS AT 4 KM |
| contact |
Kimmo Rautiainen <kimmo.rautiainen@fmi.fi> |
| coordinate_system |
Equal-Area Scalable Earth Grid 2.0 (EASE-Grid 2.0) - Northern Hemisphere |
| data_date |
20100701 |
| incidence_angle_range |
50-55 degrees |
| latitude_range |
0N - 85N |
| longitude_range |
180W - 180E |
| moving_average |
20 days |
| orbits_included |
Currently only descending orbits used |
| processing_date |
2019-05-22 |
| processing_organisation |
Finnish Meteorological Institute |
| processing_software_name |
FMI SMOS F/T processing sowtware (Rautiainen, Cohen, Hiltunen, Ikonen, Parkkinen, Moisander, Takala 2016-2019) |
| processing_software_version |
v_2.00 |
| project_id |
SMOS Freeze and Thaw Processing and Dissemination Service |
| sensor |
SMOS |
| smosinputdataversion |
SMOS input data: CATDS v620 |
| spatial_resolution |
25 X 25 sq.km |
| title |
SMOS Freeze and Thaw Processing and Dissemination Service |