This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 

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

Update Frequency: Not Planned
Latest Data Update: 2022-06-29
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2022-07-11
DOI Publication Date: 2022-07-11
Download Stats: last 12 months
Dataset Size: 1.15K Files | 91GB

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.

Citable as:  Veal, K.; Ermida, S.; Ghent, D.; Perry, M.; Trigo, I. (2022): 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. NERC EDS Centre for Environmental Data Analysis, 11 July 2022. doi:10.5285/98ca52a0bcf94fc98155b7e914aa22a0. https://dx.doi.org/10.5285/98ca52a0bcf94fc98155b7e914aa22a0
Abbreviation: Not defined
Keywords: land surface temperature, ESA, CCI

Details

Previous Info:
No news update for this record
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: 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 data record has been produced by the University of Leicester working within the ESA Land Surface Temperature Climate Change Initiative (LST_cci), and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
Contact: data.lst-cci@acri-st.fr

Data Quality:
For information on the data quality see the associated LST_cci documentation
File Format:
Data are in NetCDF format

Process overview

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

Computation Element: 1

Title Derivation of the ESA Land Surface Temperature Climate Change Initiative (LST_cci): 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
Abstract For more information on the retrieval algorithm used see the documentation on the LST CCI webpage: https://climate.esa.int/sites/default/files/LST-CCI-D2.2-ATBD%20-%20i1r1%20-%20Algorithm%20Theoretical%20Basis%20Document.pdf
Input Description None
Output Description None
Software Reference None
Output Description

None

  • 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: kelvin
  • long_name: land surface temperature variance
  • var_id: variance
  • var_id: n
  • long_name: number of clear-sky pixels
  • units: degrees
  • long_name: satellite azimuth angle
  • var_id: sataz
  • units: degrees
  • long_name: satellite zenith angle
  • var_id: satze
  • units: degrees
  • long_name: solar azimuth angle
  • var_id: solaz
  • units: degrees
  • long_name: solar zenith angle
  • var_id: solze
  • 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:
2009-01-01T00:00:00
End time:
2020-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°