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Dataset

 

ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from VIIRS (Visible Infrared Imaging Radiometer Suite) on NOAA-20 (National Oceanic and Atmospheric Administration), level 3 collated (L3C) global product (2018-2024), version 1.00

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2025-08-13
DOI Publication Date: 2025-08-13
Download Stats: last 12 months
Dataset Size: 5.1K Files | 4TB

Abstract

This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Visible Infrared Imaging Radiometer Suite (VIIRS) on NOAA-20. 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.

Daytime and night-time temperatures are provided in separate files corresponding to the daytime and nighttime NOAA-20 equator crossing times which are 13:25 and 01:25 local solar time. 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 solar geometry angles, a quality flag, and land cover class.

The dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. VIIRS achieves full Earth coverage twice per day. 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.

Dataset coverage starts on 5th January 2018 and continues to 31st December 2024. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.

The dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a two channel Generalised Split Window retrieval algorithm and data were processed in the UoL processing chain.

The European Space Agency (ESA) funded the research and development of software to generate these data (ESA grant reference 4000123553/18/I-NB) in addition to funding the production of the data for 2012 to 2023. The data for 2024 and development of software for the production of the ICDR is funded by the UK Natural Environment Research Council (NERC grant reference number NE/X019071/1 Earth Observation Climate Information Service).

Citable as:  Ghent, D.; Veal, K.; Perry, M. (2025): ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from VIIRS (Visible Infrared Imaging Radiometer Suite) on NOAA-20 (National Oceanic and Atmospheric Administration), level 3 collated (L3C) global product (2018-2024), version 1.00. NERC EDS Centre for Environmental Data Analysis, 13 August 2025. doi:10.5285/5a3b2face5604687b5bb9fd32fe96461. https://dx.doi.org/10.5285/5a3b2face5604687b5bb9fd32fe96461

Abbreviation: Not defined
Keywords: Land Surface Temperature, VIIRS, Visible Infrared Imaging Radiometer Suite, soil, canopy

Details

Previous Info:

2025-11-20 This dataset is temporarily unavailable for download from the CEDA archive. We are working on restoring access - if you require… Show More 2025-11-20 This dataset is temporarily unavailable for download from the CEDA archive. We are working on restoring access - if you require access to this data in the meantime then please contact the CEDA helpdesk Show Less

Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s):
https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

The European Space Agency (ESA) funded the research and development of software to generate these data (ESA grant reference 4000123553/18/I-NB) in addition to funding the production of the data for 2012 to 2023. The data for 2024 and development of software for the production of the ICDR is funded by the UK Natural Environment Research Council (NERC grant reference number NE/X019071/1 Earth Observation Climate Information Service).

VIIRS L1C data are downloaded from LAADS DAAC (Level 1 Atmosphere Archive and Distribution System Distributed Active Archive Centre). These data are processed by the University of Leicester: data are reformatted then processed to LSTs on an orbit swath, regridded to an equal angle grid, and collated to daily day and night products at Level 3C.

Data Quality:
For information on the data quality see the associated documentation.
File Format:
NetCDF

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Instrument/Platform pairings

Suomi NPP: Visible Infrared Imaging Radiometer Suite (VIIRS) Deployed on: NOAA-20

Computation Element: 1

Title Computation for the ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from VIIRS (Visible Infrared Imaging Radiometer Suite) on NOAA-20 (National Oceanic and Atmospheric Administration), level 3 collated (L3C) global product (2018-2024), version 1.00
Abstract For information on the derivation of this dataset see the associated documentation.
Input Description None
Output Description None
Software Reference None
Output Description

None

  • units: kelvin
  • var_id: t2m
  • long_name: 2m air temperature
  • var_id: qual_flag
  • long_name: Quality Flags
  • var_id: channel
  • units: microns
  • long_name: channel wavelength in microns
  • units: 1
  • var_id: lcc
  • long_name: land cover class
  • units: kelvin
  • var_id: lst
  • long_name: land surface temperature
  • units: kelvin
  • long_name: land surface temperature total uncertainty
  • var_id: lst_uncertainty
  • units: 1
  • var_id: ndvi
  • long_name: normalized difference vegetation index
  • var_id: n
  • long_name: number of clear-sky pixels
  • long_name: number of cloudy pixels
  • var_id: ncld
  • units: degrees
  • long_name: satellite azimuth angle
  • var_id: sataz
  • units: degrees
  • long_name: satellite zenith angle
  • var_id: satze
  • units: kelvin
  • var_id: skt
  • long_name: skin temperature
  • units: degrees
  • long_name: solar azimuth angle
  • var_id: solaz
  • units: degrees
  • long_name: solar zenith angle
  • var_id: solze
  • units: 1
  • long_name: surface emissivity
  • var_id: emis
  • units: seconds
  • long_name: time difference from reference time
  • var_id: dtime
  • units: kelvin
  • long_name: uncertainty from large-scale systematic errors
  • var_id: lst_unc_sys
  • units: kelvin
  • long_name: uncertainty from locally correlated errors on atmospheric scales
  • var_id: lst_unc_loc_atm
  • units: kelvin
  • long_name: uncertainty from locally correlated errors on surface scales
  • var_id: lst_unc_loc_sfc
  • units: kelvin
  • long_name: uncertainty from uncorrelated errors
  • var_id: lst_unc_ran

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: lat
  • long_name: latitude_coordinates
  • units: degrees_east
  • standard_name: longitude
  • var_id: lon
  • long_name: longitude_coordinates
  • standard_name: time
  • var_id: time
  • units: seconds
  • long_name: reference time of file
Coverage
Temporal Range
Start time:
2018-01-05T00:00:00
End time:
2024-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°