Dataset: ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly multisensor Infra-Red (IR) Low Earth Orbit (LEO) and Geostationary Earth Orbit (GEO) land surface temperature (LST) level 3 supercollated (L3S) global product (2009-2020), version 1.00#

Dataset identifier: esacci.LST.mon.L3S.LST.multi-sensor.multi-platform.IRMGP.1-00.00:00UTC
Data store: cciodp

How to open this dataset in AVL JupyterLab  

cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.LST.mon.L3S.LST.multi-sensor.multi-platform.IRMGP.1-00.00:00UTC')

Bounding box map#

Bounding box map
Map tiles and data from OpenStreetMap, under the ODbL.

Basic information#

Parameter Value
Bounding box longitude (°) -180.0 to 180.0
Bounding box latitude (°) -90.0 to 90.0
Time range 2009-01-01 to 2020-12-31
Time period 1M

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
dtime time difference from reference time seconds
satze satellite zenith angle degrees
sataz satellite azimuth angle degrees
solze solar zenith angle degrees
solaz solar azimuth angle degrees
lst land surface temperature kelvin
lst_uncertainty land surface temperature total uncertainty kelvin
lst_unc_ran uncertainty from uncorrelated errors kelvin
lst_unc_loc_atm uncertainty from locally correlated errors on atmospheric scales kelvin
lst_unc_loc_sfc uncertainty from locally correlated errors on surface scales kelvin
lst_unc_sys uncertainty from large-scale systematic errors kelvin
lcc land cover class 1
n number of clear-sky pixels [none]
variance land surface temperature variance kelvin

Full variable metadata#

dtime#

Field Value
long_name time difference from reference time
units seconds
valid_min 0.0
valid_max 2678400.0
coordinates lon lat
orig_data_type float32
fill_value -32768.0
size 3732480000
shape 144, 3600, 7200
chunk_sizes 1, 200, 200
file_chunk_sizes 1, 200, 200
data_type float32
dimensions time, lat, lon
file_dimensions time, lat, lon

satze#

Field Value
long_name satellite zenith angle
units degrees
add_offset 0.0
scale_factor 0.01
valid_min 0
valid_max 18000
coordinates lon lat
orig_data_type int16
fill_value -32768
size 3732480000
shape 144, 3600, 7200
chunk_sizes 1, 200, 200
file_chunk_sizes 1, 200, 200
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

sataz#

Field Value
long_name satellite azimuth angle
units degrees
add_offset 0.0
scale_factor 0.01
valid_min -18000
valid_max 18000
coordinates lon lat
orig_data_type int16
fill_value -32768
size 3732480000
shape 144, 3600, 7200
chunk_sizes 1, 200, 200
file_chunk_sizes 1, 200, 200
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

solze#

Field Value
long_name solar zenith angle
units degrees
add_offset 0.0
scale_factor 0.01
valid_min 0
valid_max 18000
coordinates lon lat
orig_data_type int16
fill_value -32768
size 3732480000
shape 144, 3600, 7200
chunk_sizes 1, 200, 200
file_chunk_sizes 1, 200, 200
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

solaz#

Field Value
long_name solar azimuth angle
units degrees
add_offset 0.0
scale_factor 0.01
valid_min -18000
valid_max 18000
coordinates lon lat
orig_data_type int16
fill_value -32768
size 3732480000
shape 144, 3600, 7200
chunk_sizes 1, 200, 200
file_chunk_sizes 1, 200, 200
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

lst#

Field Value
long_name land surface temperature
units kelvin
add_offset 273.15
scale_factor 0.01
valid_min -8315
valid_max 7685
coordinates lon lat
orig_data_type int16
fill_value -32768
size 3732480000
shape 144, 3600, 7200
chunk_sizes 1, 200, 200
file_chunk_sizes 1, 200, 200
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

lst_uncertainty#

Field Value
long_name land surface temperature total uncertainty
units kelvin
add_offset 0.0
scale_factor 0.001
valid_min 0
valid_max 10000
coordinates lon lat
orig_data_type int16
fill_value -32768
size 3732480000
shape 144, 3600, 7200
chunk_sizes 1, 200, 200
file_chunk_sizes 1, 200, 200
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

lst_unc_ran#

Field Value
long_name uncertainty from uncorrelated errors
units kelvin
add_offset 0.0
scale_factor 0.001
valid_min 0
valid_max 10000
coordinates lon lat
orig_data_type int16
fill_value -32768
size 3732480000
shape 144, 3600, 7200
chunk_sizes 1, 200, 200
file_chunk_sizes 1, 200, 200
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

lst_unc_loc_atm#

Field Value
long_name uncertainty from locally correlated errors on atmospheric scales
units kelvin
add_offset 0.0
scale_factor 0.001
valid_min 0
valid_max 10000
coordinates lon lat
orig_data_type int16
fill_value -32768
size 3732480000
shape 144, 3600, 7200
chunk_sizes 1, 200, 200
file_chunk_sizes 1, 200, 200
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

lst_unc_loc_sfc#

Field Value
long_name uncertainty from locally correlated errors on surface scales
units kelvin
add_offset 0.0
scale_factor 0.001
valid_min 0
valid_max 10000
coordinates lon lat
orig_data_type int16
fill_value -32768
size 3732480000
shape 144, 3600, 7200
chunk_sizes 1, 200, 200
file_chunk_sizes 1, 200, 200
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

lst_unc_sys#

Field Value
long_name uncertainty from large-scale systematic errors
units kelvin
add_offset 0.0
scale_factor 0.001
valid_min 0
valid_max 10000
orig_data_type int16
fill_value -32768
size 3732480000
shape 144, 3600, 7200
chunk_sizes 1, 200, 200
file_chunk_sizes 1, 200, 200
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

lcc#

Field Value
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, 110, 120, 121, 122, 130, 140, 150, 151, 152, 153, 160, 170, 180, 190, 200, 201, 202, 203, 204, 205, 206, 207, 210, 220, 230
valid_min 10
valid_max 230
coordinates lon lat
orig_data_type int16
fill_value -32768
size 3732480000
shape 144, 3600, 7200
chunk_sizes 1, 200, 200
file_chunk_sizes 1, 200, 200
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

n#

Field Value
long_name number of clear-sky pixels
valid_min 0
valid_max 18750
coordinates lon lat
orig_data_type int16
fill_value -32768
size 3732480000
shape 144, 3600, 7200
chunk_sizes 1, 200, 200
file_chunk_sizes 1, 200, 200
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

variance#

Field Value
long_name land surface temperature variance
units kelvin
add_offset 0.0
scale_factor 0.01
valid_min 0
valid_max 10000
coordinates lon lat
orig_data_type int16
fill_value -32768
size 3732480000
shape 144, 3600, 7200
chunk_sizes 1, 200, 200
file_chunk_sizes 1, 200, 200
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

Full dataset metadata#

Field Value
source ESA LST CCI IRMGP L3S V1.00
title ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly multisensor Infra-Red (IR) Low Earth Orbit (LEO) and Geostationary Earth Orbit (GEO) land surface temperature (LST) level 3 supercollated (L3S) global product (2009-2020), version 1.00
history Created using software developed at University of Leicester
references https://climate.esa.int/en/projects/land-surface-temperature
product_version 1-00
comment These data were produced as part of the ESA LST CCI project.
project Climate Change Initiative - European Space Agency
ecv LST
institute University of Leicester
processing_level L3S
product_string IRMGP
data_type LST
abstract This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on satellites in Geostationary Earth Orbit (GEO) and Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water. LST fields are provided at 3 hourly intervals each day (00:00 UTC, 03:00 UTC, 06:00 UTC, 09:00 UTC, 12:00 UTC, 15:00 UTC, 18:00 UTC and 21:00 UTC). Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and the solar geometry angles. The product is based on merging of available GEO data and infilling with available LEO data outside of the GEO discs. Inter-instrument biases are accounted for by cross-calibration with the IASI instruments on METOP and LSTs are retrieved using a Generalised Split Window algorithm from all instruments. As data towards the edge of the GEO disc is known to have greater uncertainty, any datum with a satellite zenith angle of more than 60 degrees is discarded. All LSTs included have an observation time that lies within +/- 30 minutes of the file nominal Universal Time. Data from the following instruments is included in the dataset: geostationary, Imagers on Geostationary Operational Environmental Satellite (GOES) 12 and GOES 13, Advanced Baseline Imager (ABI) on GOES 16, Spinning Enhanced Visible Infra-Red Imager (SEVIRI) on Meteosat Second Generation (MSG) 1, MSG 2, MSG 3, and MSG 4, Japanese Advanced Meteorological Imager (JAMI) on Multifunctional Transport Satellite MTSAT) 1, and MTSAT 2; and polar, Advanced Along-Track Scanning Radiometer (AATSR) on Environmental Satellite (Envisat), Moderate-resolution Imaging Spectroradiometer (MODIS) on Earth Observation System (EOS) - Aqua and EOS - Terra, Sea and Land Surface Temperature Radiometer SLSTR on Sentinel-3A and Sentinel-3B. However, it should be noted that which instruments contribute to a particular product file depends on depends on mission start and end dates and instrument downtimes. Dataset coverage starts on 1st January 2009 and ends on 31st December 2020. LSTs are provided on a global equal angle grid at a resolution of 0.05° longitude and 0.05° latitude. The dataset coverage is nominally global over the land surface but varies depending on satellite and instrument availability and coverage. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface. The dataset was produced by the University of Leicester (UoL) and data were processed in the UoL processing chain. The Geostationary data were produced by the Instituto Português do Mar e da Atmosfera (IPMA) before being merged into the final dataset. The dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.
publication_date 2022-07-11T14:42:00
uuid 98ca52a0bcf94fc98155b7e914aa22a0
catalog_url https://catalogue.ceda.ac.uk/uuid/98ca52a0bcf94fc98155b7e914aa22a0
sensor_id multi-sensor
platform_id multi-platform
cci_project LST