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Dataset

 

EUSTACE/GlobTemperature: Global clear-sky land surface temperature from MODIS Aqua on the satellite swath with estimates of uncertainty components, v2.1, 2002-2016

Update Frequency: Not Planned
Latest Data Update: 2020-04-29
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2019-03-18
DOI Publication Date: 2019-03-18
Download Stats: last 12 months
Dataset Size: 2.97M Files | 25TB

Abstract

This dataset consists of Land Surface Temperature (LST) data with uncertainty estimates, from the MODIS instrument on NASA's Aqua satellite. It forms part of the collection of datasets from the EUSTACE (EU Surface Temperature for All Corners of Earth) project, which is producing publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.

The Level 2 Land Surface Temperature data in this dataset has been retrieved from MODIS Collection 6 L1B calibrated radiances, in the context of the GlobTemperature project, but new uncertainty estimates have been added as part of the EUSTACE project. This version of the LST dataset is v2.1 of the GT_MYG_2P product, with earlier versions produced under the GlobTemperature project. It consists of a complete set of LST and accompanying auxiliary (AUX) datafiles for the MODIS-Aqua mission for the period from 2002 until 2016. An equivalent dataset is also available for MODIS-Terra.

Citable as:  Ghent, D.; Veal, K.; Dodd, E. (2019): EUSTACE/GlobTemperature: Global clear-sky land surface temperature from MODIS Aqua on the satellite swath with estimates of uncertainty components, v2.1, 2002-2016. Centre for Environmental Data Analysis, 18 March 2019. doi:10.5285/0f1a958a130547febd40057f5ec1c837. https://dx.doi.org/10.5285/0f1a958a130547febd40057f5ec1c837
Abbreviation: Not defined
Keywords: eustace, land surface temperature, LST

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: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Datahave been provided and archived for the EU EUSTACE project, which has received funding by the European Union's Horizon 2020 research and innovation programme, under grant agreement no 640171.
This Land Surface Temperature data was originally derived in the context of the ESA DUE GlobTemperature project, but new uncertainty estimates have been added in the context of EUSTACE project. The MODIS data was acquired from the NASA Land Processes Distributed Active Archive Center (LP DAAC).

Data Quality:
Data format checked
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.

Mobile platform operations

Mobile Platform Operation 1 Aqua Satellite orbit details

Computation Element: 1

Title GlobTemperature Level-2 MODIS Land Surface Temperature (LST) algorithm
Abstract The GlobTemperature Level-2 MODIS Land Surface Temperature (LST) algorithm derives LST data from L1B calibrated radiances from the MODIS instruments on the Aqua and Terra Satellites. It uses a generalized split-window (SW) approach to estimate Land Surface Temperature as a linear function of clear-sky TOA (top of atmosphere) brightness temperatures from MODIS bands 31 and 32 centred on 11 and 12 microns respectively. The GlobTemperature MODIS product also provides a full breakdown of the pixel level uncertainty budget. The uncertainty analysis takes into account the expected performance of the retrieval algorithm under varying surface and atmospheric conditions, with these uncertainties categorised into a 3-component model: random, locally correlated and systematic. The locally correlated component is further split into surface and atmospheric conditions.
Input Description None
Output Description None
Software Reference None
Output Description

None

  • units: 1
  • var_id: channel
  • long_name: channel name
  • units: K
  • standard_name: surface_temperature
  • long_name: land surface temperature
  • var_id: LST
  • units: K
  • long_name: land surface temperature large scale systematic uncertainty
  • var_id: LST_unc_sys
  • units: K
  • long_name: land surface temperature locally correlated atmosphere uncertainty
  • var_id: LST_unc_loc_atm
  • units: K
  • long_name: land surface temperature locally correlated surface uncertainty
  • var_id: LST_unc_loc_sfc
  • units: K
  • long_name: land surface temperature random uncertainty
  • var_id: LST_unc_ran
  • units: K
  • long_name: land surface temperature uncertainty
  • var_id: LST_uncertainty
  • units: 1
  • long_name: land/water mask
  • var_id: lwm
  • units: 1
  • var_id: QC
  • long_name: quality control flags
  • units: d
  • long_name: reference_time
  • var_id: jul_date
  • units: degree
  • long_name: satellite azimuth angle
  • var_id: sataz
  • units: degree
  • long_name: satellite zenith angle
  • var_id: satze
  • units: degree
  • standard_name: solar_azimuth_angle
  • long_name: solar azimuth angle
  • var_id: solaz
  • units: degree
  • long_name: solar zenith angle
  • standard_name: solar_zenith_angle
  • var_id: solze
  • units: m
  • var_id: elevation
  • long_name: surface elevation
  • units: 1
  • long_name: surface emissivity
  • standard_name: surface_longwave_emissivity
  • var_id: emis
  • units: kg m-2
  • long_name: total column water vapour
  • standard_name: atmosphere_mass_content_of_water_vapor
  • var_id: tcwv

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: lat
  • long_name: centre latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: lon
  • long_name: centre longitude
  • standard_name: time
  • units: seconds
  • long_name: time difference from reference time
  • var_id: dtime
Coverage
Temporal Range
Start time:
2002-07-03T23:00:00
End time:
2016-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°