\n",
+ "
<xarray.Dataset> Size: 36GB\n",
+ "Dimensions: (time: 1, lat: 18000, lon: 36000, length_scale: 1,\n",
+ " channel: 2)\n",
+ "Coordinates:\n",
+ " * time (time) datetime64[ns] 8B 2020-11-01\n",
+ " * lat (lat) float32 72kB -90.0 -89.99 -89.98 ... 89.98 89.99\n",
+ " * lon (lon) float32 144kB -180.0 -180.0 -180.0 ... 180.0 180.0\n",
+ " * channel (channel) float32 8B 11.0 12.0\n",
+ "Dimensions without coordinates: length_scale\n",
+ "Data variables: (12/14)\n",
+ " dtime (time, lat, lon) timedelta64[ns] 5GB ...\n",
+ " satze (time, lat, lon) float32 3GB ...\n",
+ " sataz (time, lat, lon) float32 3GB ...\n",
+ " solze (time, lat, lon) float32 3GB ...\n",
+ " solaz (time, lat, lon) float32 3GB ...\n",
+ " lst (time, lat, lon) float32 3GB ...\n",
+ " ... ...\n",
+ " lst_unc_loc_atm (time, lat, lon) float32 3GB ...\n",
+ " lst_unc_loc_sfc (time, lat, lon) float32 3GB ...\n",
+ " lst_unc_sys (length_scale) float32 4B ...\n",
+ " lcc (time, lat, lon) float32 3GB ...\n",
+ " n (time, lat, lon) float32 3GB ...\n",
+ " lst_unc_loc_cor (time, lat, lon) float32 3GB ...\n",
+ "Attributes: (12/41)\n",
+ " source: ESA LST CCI IRCDR L3S V2.00\n",
+ " title: ESA LST CCI land surface temperature time ser...\n",
+ " institution: University of Leicester\n",
+ " history: Created using software developed at Universit...\n",
+ " references: https://climate.esa.int/en/projects/land-surf...\n",
+ " Conventions: CF-1.8\n",
+ " ... ...\n",
+ " geospatial_lon_resolution: 0.01\n",
+ " geospatial_lat_resolution: 0.01\n",
+ " key_variables: land_surface_temperature\n",
+ " format_version: CCI Data Standards v2.2\n",
+ " spatial_resolution: 0.01 degree\n",
+ " doi: 10.5285/785ef9d3965442669bff899540747e28
- time: 1
- lat: 18000
- lon: 36000
- length_scale: 1
- channel: 2
dtime
(time, lat, lon)
timedelta64[ns]
...
- long_name :
- time difference from reference time
- valid_min :
- 0.0
- valid_max :
- 2592000.0
[648000000 values with dtype=timedelta64[ns]]
satze
(time, lat, lon)
float32
...
- long_name :
- satellite zenith angle
- units :
- degrees
- valid_min :
- 0
- valid_max :
- 18000
[648000000 values with dtype=float32]
sataz
(time, lat, lon)
float32
...
- long_name :
- satellite azimuth angle
- units :
- degrees
- valid_min :
- -18000
- valid_max :
- 18000
[648000000 values with dtype=float32]
solze
(time, lat, lon)
float32
...
- long_name :
- solar zenith angle
- units :
- degrees
- valid_min :
- 0
- valid_max :
- 18000
[648000000 values with dtype=float32]
solaz
(time, lat, lon)
float32
...
- long_name :
- solar azimuth angle
- units :
- degrees
- valid_min :
- -18000
- valid_max :
- 18000
[648000000 values with dtype=float32]
lst
(time, lat, lon)
float32
...
- long_name :
- land surface temperature
- units :
- kelvin
- valid_min :
- -8315
- valid_max :
- 7685
[648000000 values with dtype=float32]
lst_uncertainty
(time, lat, lon)
float32
...
- long_name :
- land surface temperature total uncertainty
- units :
- kelvin
- valid_min :
- 0
- valid_max :
- 10000
[648000000 values with dtype=float32]
lst_unc_ran
(time, lat, lon)
float32
...
- long_name :
- uncertainty from uncorrelated errors
- units :
- kelvin
- valid_min :
- 0
- valid_max :
- 10000
[648000000 values with dtype=float32]
lst_unc_loc_atm
(time, lat, lon)
float32
...
- long_name :
- uncertainty from locally correlated errors on atmospheric scales
- units :
- kelvin
- valid_min :
- 0
- valid_max :
- 10000
[648000000 values with dtype=float32]
lst_unc_loc_sfc
(time, lat, lon)
float32
...
- long_name :
- uncertainty from locally correlated errors on surface scales
- units :
- kelvin
- valid_min :
- 0
- valid_max :
- 10000
[648000000 values with dtype=float32]
lst_unc_sys
(length_scale)
float32
...
- long_name :
- uncertainty from large-scale systematic errors
- units :
- kelvin
- valid_min :
- 0
- valid_max :
- 10000
[1 values with dtype=float32]
lcc
(time, lat, lon)
float32
...
- long_name :
- land cover class
- units :
- 1
- flag_meanings :
- cropland_rainfed cropland_rainfed_herbaceous_cover cropland_rainfed_tree_or_shrub_cover cropland_irrigated mosaic_cropland mosaic_natural_vegetation tree_broadleaved_evergreen_closed_to_open tree_broadleaved_deciduous_closed_to_open tree_broadleaved_deciduous_closed tree_broadleaved_deciduous_open tree_needleleaved_evergreen_closed_to_open tree_needleleaved_evergreen_closed tree_needleleaved_evergreen_open tree_needleleaved_deciduous_closed_to_open tree_needleleaved_deciduous_closed tree_needleleaved_deciduous_open tree_mixed mosaic_tree_and_shrub mosaic_herbaceous shrubland shrubland_evergreen shrubland_deciduous grassland lichens_and_mosses sparse_vegetation sparse_tree sparse_shrub sparse_herbaceous tree_cover_flooded_fresh_or_brakish_water tree_cover_flooded_saline_water shrub_or_herbaceous_cover_flooded urban Bare_areas_of_soil_types_not_contained_in_biomes_203_to_207 Unconsolidated_bare_areas_of_soil_types_not_contained_in_biomes_203_to_207 Consolidated_bare_areas_of_soil_types_not_contained_in_biomes_203_to_207 Bare_areas_of_soil_type_Entisols_Orthents Bare_areas_of_soil_type_Shifting_sand Bare_areas_of_soil_type_Aridisols_Calcids Bare_areas_of_soil_type_Aridisols_Cambids Bare_areas_of_soil_type_Gelisols_Orthels water snow_and_ice Sea_ice
- flag_values :
- [ 10 11 12 20 30 40 50 60 61 62 70 71 72 80 81 82 90 100\n",
+ " 110 120 121 122 130 140 150 151 152 153 160 170 180 190 200 201 202 203\n",
+ " 204 205 206 207 210 220 230]
- valid_min :
- 10
- valid_max :
- 230
[648000000 values with dtype=float32]
n
(time, lat, lon)
float32
...
- long_name :
- number of clear-sky pixels
- valid_min :
- 0
- valid_max :
- 18750
[648000000 values with dtype=float32]
lst_unc_loc_cor
(time, lat, lon)
float32
...
- long_name :
- uncertainty from locally correlated errors on LST corrections
- units :
- kelvin
- valid_min :
- 0
- valid_max :
- 10000
[648000000 values with dtype=float32]
PandasIndex
PandasIndex(DatetimeIndex(['2020-11-01'], dtype='datetime64[ns]', name='time', freq=None))
PandasIndex
PandasIndex(Index([-89.99500274658203, -89.98500061035156, -89.97500610351562,\n",
+ " -89.96500396728516, -89.95500183105469, -89.94499969482422,\n",
+ " -89.93500518798828, -89.92500305175781, -89.91500091552734,\n",
+ " -89.9050064086914,\n",
+ " ...\n",
+ " 89.90499114990234, 89.91498565673828, 89.92499542236328,\n",
+ " 89.93498992919922, 89.94499969482422, 89.95499420166016,\n",
+ " 89.9649887084961, 89.9749984741211, 89.98499298095703,\n",
+ " 89.99498748779297],\n",
+ " dtype='float32', name='lat', length=18000))
PandasIndex
PandasIndex(Index([ -179.9949951171875, -179.98500061035156, -179.97499084472656,\n",
+ " -179.96499633789062, -179.9550018310547, -179.9449920654297,\n",
+ " -179.93499755859375, -179.92498779296875, -179.9149932861328,\n",
+ " -179.90499877929688,\n",
+ " ...\n",
+ " 179.90499877929688, 179.91500854492188, 179.92498779296875,\n",
+ " 179.93499755859375, 179.94500732421875, 179.95498657226562,\n",
+ " 179.96499633789062, 179.97500610351562, 179.9849853515625,\n",
+ " 179.9949951171875],\n",
+ " dtype='float32', name='lon', length=36000))
PandasIndex
PandasIndex(Index([10.999001, 11.999001], dtype='float32', name='channel'))
- source :
- ESA LST CCI IRCDR L3S V2.00
- title :
- ESA LST CCI land surface temperature time series from multiple IR sensors on LEO platforms.
- institution :
- University of Leicester
- history :
- Created using software developed at University of Leicester
- references :
- https://climate.esa.int/en/projects/land-surface-temperature
- Conventions :
- CF-1.8
- product_version :
- 2.00
- summary :
- This file contains level L3S global land surface temperatures from SLSTRA. L3S data are derived from more than one sensor combined on a space and/or time grid.
- keywords :
- Earth Science; Land Surface; Land Temperature; Land Surface Temperature
- id :
- ESACCI-LST-L3S-LST-IRCDR_-0.01deg_1MONTHLY_DAY-20201101000000-fv2.00.nc
- naming_authority :
- le.ac.uk
- keywords_vocabulary :
- NASA Global change Master Directory (GCMD) Science Keywords
- cdm_data_type :
- grid
- comment :
- These data were produced as part of the ESA LST CCI project.
- date_created :
- 20220616T135237Z
- creator_name :
- University of Leicester Surface Temperature Group
- creator_url :
- https://climate.esa.int/en/projects/land-surface-temperature
- creator_email :
- djg20@le.ac.uk
- project :
- Climate Change Initiative - European Space Agency
- geospatial_lat_min :
- -89.995
- geospatial_lat_max :
- 89.99499
- geospatial_lon_min :
- -179.995
- geospatial_lon_max :
- 179.995
- geospatial_vertical_min :
- 0.0
- geospatial_vertical_max :
- 0.0
- time_coverage_start :
- 20201101T000000
- time_coverage_end :
- 20201130T235959
- time_coverage_duration :
- P1M
- time_coverage_resolution :
- P1M
- standard_name_vocabulary :
- CF Standard Name Table v71
- license :
- ESA CCI Data Policy: free and open access
- platform :
- Sentinel-3A
- sensor :
- SLSTRA
- geospatial_lat_units :
- degrees_north
- geospatial_lon_units :
- degrees_east
- geospatial_lon_resolution :
- 0.01
- geospatial_lat_resolution :
- 0.01
- key_variables :
- land_surface_temperature
- format_version :
- CCI Data Standards v2.2
- spatial_resolution :
- 0.01 degree
- doi :
- 10.5285/785ef9d3965442669bff899540747e28
"
+ ],
+ "text/plain": [
+ "