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Dataset

 
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FIDUCEO: Sea and Lake Surface Temperature Climate Data Record, V2.11, 2006 -2016

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2019-11-08
Download Stats: last 12 months

Abstract

The FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project Sea and Lake Surface Temperature Climate Data Record core retrieved quantity is the skin (radiometric) temperature of the Earth’s water surfaces (sea and large lakes). This is provided as a best estimate, plus an ensemble of 10 perturbations capturing known uncertainties. The CDR contains grid-cell instantaneous averagesof retrieved surface temperature over ice-free oceans and 300 large lakes.

The FIDUCEO Surface Temperature CDR differs from the ESA Sea Surface Temperature Climate Change Initiative CDRs ; which were generated using in the using the same cloud detection and SST retrieval methodology in the following points:

- The calibration of the brightness temperatures used is revised for the FIDUCEO ST CDR. The first step in this has been multi-sensor harmonisation to obtain baseline calibration coefficients (Giering et al., 2019). For specific ST application, these coefficients were adjusted such that SSTs had lower bias, using a method of cross-referencing to matched drifting buoys (Merchant et al., 2019)
- Perturbations to the obtained ST and quality level determination are provided for an ensemble of 10 members, for the purpose of propagating uncertainty in ST in complex (large scale, non-linear) applications.
- The FIDUCEO ST CDR includes retrievals over the world’s 300 largest lakes, unlike the SST-only product. (Lakes, including much smaller lakes,are addressed in other CDRs requiring significantly different methodsto cope with the difficulties of small target water bodies.)

Full documentation including product user guide, tutorials, the scientific basis and relevant publications are available in the documentation.

Citable as:  Merchant, C.J.; Mittaz, J.; Taylor, M.; Bulgin, C.E. (2019): FIDUCEO: Sea and Lake Surface Temperature Climate Data Record, V2.11, 2006 -2016. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/dd63f6f7239f4c1da830950c6e58cfdd
Abbreviation: Not defined
Keywords: Uncertainty, FIDUCEO, AVHRR, Climate Data Record, Sea Surface Temperature, Lake Surface Temperature, MetopA

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://creativecommons.org/licenses/by/4.0/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Supplied to CEDA for archival by Claire Bulgin of the University of Reading on behalf of the H2020 FIDUCEO project

Data Quality:
Data were validated by fiduceo project team
File Format:
The data files are CF compliant NetCDF version 4. See fomat specification in documentation for further information

Process overview

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

Instrument/Platform pairings

AVHRR series Deployed on: Metop-A

Mobile platform operations

Mobile Platform Operation 1 Mobile Platform Operation for: Metop-A

Computation Element: 1

Title FIDUCEO: AVHRR Lake and Sea Surface Temperature Climate Data Record V1.0
Abstract The FIDUCEO AVHRR FCDR for MetOp-A has updated calibration parameters which have been harmonised using SNO (Simultaneous Nadir Overpass) matches using the AATSR as a reference as well as corrections for some of the dominant error sources. The Ensemble version has had corrections to two of the calibration parameters (this bias term and the emissivity correction term) to improve SSTs retrieved using the FIDUCEO brightness temperatures when compared to the drifting buoy network. It therefor has mixed references, one a satellite reference and another a virtual reference consisting of radiative transfer modelled brightness temperatures derived using the SST in-situ reference data. For full information and links to software please see the documentation section
Input Description None
Output Description None
Software Reference None
Output Description None
  • units: m s-1
  • standard_name: wind_speed
  • var_id: wind_speed
  • long_name: 10m wind speed
  • names: wind_speed, 10m wind speed
  • long_name: Ensemble run number
  • var_id: ensemble_number
  • names: Ensemble run number
  • long_name: L2P flags
  • var_id: l2p_flags
  • names: L2P flags
  • var_id: lat_bnds
  • long_name: Latitude cell boundaries
  • units: degrees_north
  • names: Latitude cell boundaries
  • units: degrees_east
  • var_id: lon_bnds
  • long_name: Longitude cell boundaries
  • names: Longitude cell boundaries
  • long_name: Quality level delta with reference to baseline
  • var_id: quality_level_delta
  • names: Quality level delta with reference to baseline
  • long_name: SSES bias estimate
  • var_id: sses_bias
  • units: kelvin
  • names: SSES bias estimate
  • long_name: SSES standard deviation
  • var_id: sses_standard_deviation
  • units: kelvin
  • names: SSES standard deviation
  • long_name: Sea surface temperature delta with reference to baseline
  • var_id: sea_surface_temperature_delta
  • units: Kelvin
  • names: Sea surface temperature delta with reference to baseline
  • units: K/K
  • long_name: Sensitivity to SST
  • var_id: sensitivity
  • names: Sensitivity to SST
  • long_name: Time and depth adjustment uncertainty
  • var_id: adjustment_uncertainty
  • units: kelvin
  • names: Time and depth adjustment uncertainty
  • long_name: Time cell boundaries
  • var_id: time_bnds
  • names: Time cell boundaries
  • long_name: Total uncertainty in sea_surface_temperature_depth
  • var_id: sst_depth_total_uncertainty
  • units: kelvin
  • names: Total uncertainty in sea_surface_temperature_depth
  • units: kelvin
  • long_name: Uncertainty from errors likely to be correlated over large scales
  • var_id: large_scale_correlated_uncertainty
  • names: Uncertainty from errors likely to be correlated over large scales
  • long_name: Uncertainty from errors likely to be correlated over synoptic scales
  • var_id: synoptically_correlated_uncertainty
  • units: kelvin
  • names: Uncertainty from errors likely to be correlated over synoptic scales
  • var_id: uncorrelated_uncertainty
  • units: kelvin
  • long_name: Uncertainty from errors likely to be uncorrelated between SSTs
  • names: Uncertainty from errors likely to be uncorrelated between SSTs
  • long_name: aerosol dynamic indicator
  • var_id: aerosol_dynamic_indicator
  • names: aerosol dynamic indicator
  • long_name: quality level of SST pixel
  • var_id: quality_level
  • names: quality level of SST pixel
  • long_name: sea surface skin temperature
  • standard_name: sea_surface_skin_temperature
  • var_id: sea_surface_temperature
  • units: kelvin
  • names: sea_surface_skin_temperature, sea surface skin temperature
  • long_name: sea surface temperature at 0.2 m
  • var_id: sea_surface_temperature_depth
  • standard_name: sea_water_temperature
  • units: kelvin
  • names: sea_water_temperature, sea surface temperature at 0.2 m
  • long_name: time difference from reference time
  • units: seconds
  • var_id: sst_dtime
  • names: time difference from reference time

Co-ordinate Variables

  • standard_name: latitude
  • var_id: lat
  • long_name: Latitude
  • units: degrees_north
  • names: latitude, Latitude
  • var_id: lon
  • units: degrees_east
  • standard_name: longitude
  • long_name: Longitude
  • names: longitude, Longitude
  • long_name: reference time of sst file
  • standard_name: time
  • var_id: time
  • names: time, reference time of sst file
Coverage
Temporal Range
Start time:
2006-11-01T00:00:00
End time:
2016-12-31T00:00:00
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°