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Dataset

 

ESA Land Surface Temperature Climate Change Initiative (LST_cci): All-weather MicroWave Land Surface Temperature (MW-LST) global data record (1996-2020)

Update Frequency: Not Planned
Latest Data Update: 2022-01-21
Status: Superseded
Online Status: ONLINE
Publication State: Citable
Publication Date: 2022-02-25
DOI Publication Date: 2022-02-25
Download Stats: last 12 months
Dataset Size: 18.91K Files | 62GB

This dataset has been superseded. See Latest Version here
Abstract

MW-LST is a data record of land surface temperature (LST) derived from the microwave instruments Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager / Sounder (SSMIS). Observations available at frequencies close to 18, 22, 26, and 85 GHz are used as an input to a retrieval algorithm that produces LST over all continental surfaces, twice per day (6 am/pm), at a spatial resolution of ~25 km, and over 25 years (1996-2020).

The data record has been produced by the company Estellus working within the ESA Land Surface Temperature Climate Change Initiative (LST_cci). Compared with the remaining infrared LST data records of the LST_cci, the spatial resolution of the MW-LST is coarser, and the associated retrieval errors are larger. However, it offers LST estimates for clear-sky and cloudy conditions, therefore complementing the IR LST data records, which can only provide LST for clear skies. The data record is temporally and spatially complete, although in rare occasions some data can be missing due to missing observations, e.g., due to satellite maintenance operations or anomalous behavior. The data record is provided on a regular grid of 0.25x0.25 degrees, saved as daily, monthly, and yearly netcdf files. The reader is referred to the LST_cci website for more information about how the data record was derived, and how to use the data and associated quality flags and estimated uncertainty.

Citable as:  Jimenez, C.; Prigent, C. (2022): ESA Land Surface Temperature Climate Change Initiative (LST_cci): All-weather MicroWave Land Surface Temperature (MW-LST) global data record (1996-2020). NERC EDS Centre for Environmental Data Analysis, 25 February 2022. doi:10.5285/058d3ad17a084f0bb8dc9b5dc5efdb7f. https://dx.doi.org/10.5285/058d3ad17a084f0bb8dc9b5dc5efdb7f
Abbreviation: Not defined
Keywords: Not defined

Details

Previous Info:

2022-09-26 Please note, an issue has been found with the variable 'lst_unc_time_correction' in this dataset. A new version of the data w… Show More 2022-09-26 Please note, an issue has been found with the variable 'lst_unc_time_correction' in this dataset. A new version of the data will be available soon. 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: 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 company Estellus working within the ESA Land Surface Temperature Climate Change Initiative (LST_cci), and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). ). The source of satellite Level 1 observations is the Fundamental Climate Data Record of Microwave Imager Radiances (https://doi.org/10.5676/EUM_SAF_CM/FCDR_MWI/V003), kindly provided by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF).
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 ESA Land Surface Temperature Climate Change Initiative (LST_cci): All-weather daily MicroWave Land Surface Temperature (MW-LST) global data record (1996-2020)
Abstract For more information on the retrieval algorithm used see the documentation on the LST CCI webpage
Input Description None
Output Description None
Software Reference None
Output Description

None

  • var_id: qual_flag
  • long_name: Quality flags
  • names: Quality flags
  • units: kelvin
  • var_id: lst
  • long_name: land surface temperature
  • names: land surface temperature
  • units: kelvin
  • long_name: land surface temperature total uncertainty
  • var_id: lst_uncertainty
  • names: land surface temperature total uncertainty
  • units: kelvin
  • long_name: land surface temperature uncertainty from time correction errors
  • var_id: lst_unc_time_correction
  • names: land surface temperature uncertainty from time correction errors
  • units: 1
  • var_id: n
  • long_name: number of pixels averaged
  • names: number of pixels averaged
  • units: kelvin
  • long_name: offset to be added to the land surface temperature to adjust its value at the overpass local time to the value that would have been measured at 6AM local time
  • var_id: lst_time_correction
  • names: offset to be added to the land surface temperature to adjust its value at the overpass local time to the value that would have been measured at 6AM local time
  • units: kelvin
  • var_id: lst_time_correction
  • long_name: offset to be added to the land surface temperature to adjust its value at the overpass local time to the value that would have been measured at 6PM local time
  • names: offset to be added to the land surface temperature to adjust its value at the overpass local time to the value that would have been measured at 6PM local time
  • units: degrees
  • long_name: satellite azimuth angle
  • var_id: sataz
  • names: satellite azimuth angle
  • units: degrees
  • long_name: satellite zenith angle
  • var_id: satze
  • names: satellite zenith angle
  • units: degrees
  • long_name: solar azimuth angle
  • var_id: solaz
  • names: solar azimuth angle
  • units: degrees
  • long_name: solar zenith angle
  • var_id: solze
  • names: solar zenith angle
  • units: seconds
  • long_name: time difference from reference time
  • var_id: dtime
  • names: time difference from reference time
  • units: kelvin
  • var_id: lst_unc_sys
  • long_name: uncertainty from large scale systematic errors
  • names: uncertainty from large scale systematic errors
  • units: kelvin
  • long_name: uncertainty from locally correlated errors on atmospheric scales
  • var_id: lst_unc_loc_atm
  • names: uncertainty from locally correlated errors on atmospheric scales
  • units: kelvin
  • long_name: uncertainty from locally correlated errors on surface scales
  • var_id: lst_unc_loc_sfc
  • names: uncertainty from locally correlated errors on surface scales
  • units: kelvin
  • long_name: uncertainty from uncorrelated errors
  • var_id: lst_unc_ran
  • names: uncertainty from uncorrelated errors

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: lat
  • long_name: latitude_coordinates
  • names: latitude, latitude_coordinates
  • units: degrees_east
  • standard_name: longitude
  • var_id: lon
  • long_name: longitude_coordinates
  • names: longitude, longitude_coordinates
  • standard_name: time
  • var_id: time
  • long_name: reference time of file
  • names: time, reference time of file
Coverage
Temporal Range
Start time:
1996-01-01T00:00:00
End time:
2020-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°