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Dataset

 
National Centre for Earth Observation (NCEO) Logo

CASIX TOPEX: kriged monthly mean ocean circulation data

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2007-10-18
Download Stats: last 12 months

Abstract

TOPography EXperiment (TOPEX) for ocean circulation (otherwise known as Poseidon) was launched on August 10, 1992 and was a joint satellite mission between NASA, the U.S. space agency, and CNES, the French space agency, to map ocean surface topography. The first major oceanographic research vessel to sail into space, TOPEX/Poseidon helped revolutionise oceanography by proving the value of satellite ocean observations.

This dataset contains monthly means on a 1x1 latitude/longitude grid for 12 years (1993-2004). The data contains the following parameters: wind speed, squared wind speed, cubed wind speed, wind speed * significant wave height, significant wave height, 1/sigma0(Ku) and gas transfer velocity. TOPEX/Poseidon was a joint mission from the National Aeronautics and Space Administration (NASA), the U.S. space agency and the French space agency.

The dataset was produced by Fangohr, S. and D.K. Woolf of SOCS, as part of the NERC programme's Centre for observation of Air-Sea Interactions and FluXes (CASIX) and National Centre for Earth Observation (NCEO).

Citable as:  National Centre for Earth Observation (2007): CASIX TOPEX: kriged monthly mean ocean circulation data. NERC Earth Observation Data Centre, date of citation. https://catalogue.ceda.ac.uk/uuid/8a846281c530e892e01bfb43e96f439b
Abbreviation: Not defined
Keywords: TOPEX, ocean, satellite, marine

Details

Previous Info:
No news update for this record
Previously used record identifiers:
http://badc.nerc.ac.uk/view/neodc.nerc.ac.uk__ATOM__dep_11927505060725432
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:

These data were provided to NEODC in netCDF format by Susanne Fangohr (Southampton) as an output from the NERC CASIX Centre of Excellence in June 2006.

The files were slightly modified by Victoria Jay, NEODC, 2009-10-02 (units of longitude and latitude changed from degrees to degrees_east and degrees_north)

Data Quality:
unknown
File Format:
Data are netCDF formatted

Related Documents

No documents related to this record were found.

Process overview

This dataset was generated by the computation detailed below.
Title kriging process of TOPEX data deployed on National Oceanography Center, Southampton (NOCS) Computer
Abstract This computation involved: kriging process of TOPEX data deployed on National Oceanography Center, Southampton (NOCS) Computer. Kriging is a group of geostatistical techniques to interpolate the value of a random field (e.g., the elevation, z, of the landscape as a function of the geographic location) at an unobserved location from observations of its value at nearby locations. This process was used on TOPEX (TOPography EXperiment for Ocean Circulation) data resulting in monthly means on a 1x1 lat/lon grid for 12 years (1993-2004). The dataset was produced by Fangohr, S. and D.K. Woolf of SOCS. Kriging is an optimal interpolation method which is used to fill the gaps which would naturally occur in any altimeter data set as a result of the altimeter's sampling pattern. Apart from offering a clever method of interpolation (in space and time) kriging also produces a measure of variability (standard deviation) of the raw data around the interpolated values that it returns. This process was used on Topex data to produce a kriged gridded altimeter data, Climatologies of gas transfer velocity and CO2 flux. See Fangohr, S. and D.K. Woolf (2006). Application of new parameterizations of gas transfer velocity and their impact on regional and global marine CO2 budgets, provisionally accepted by Journal of Marine Systems.
Input Description None
Output Description None
Software Reference None
  • long_name: 1/sigma0(Ku)
  • var_id: oneoversigma
  • units: 1
  • names: 1/sigma0(Ku)
  • units: cm/h
  • long_name: gas transfer velocity according to Fangohr & Woolf (2006)
  • var_id: k
  • names: gas transfer velocity according to Fangohr & Woolf (2006)
  • var_id: latitude
  • units: degrees_north
  • long_name: latitude at pixel centre
  • names: latitude at pixel centre
  • units: degrees_east
  • var_id: longitude
  • long_name: longitude at pixel centre
  • names: longitude at pixel centre
  • units: m
  • long_name: significant wave height
  • var_id: swh
  • names: significant wave height
  • long_name: variance of 1/sigma0(Ku)
  • var_id: oneoversigma_var
  • units: 1
  • names: variance of 1/sigma0(Ku)
  • units: m2
  • long_name: variance of significant wave height
  • var_id: swh_var
  • names: variance of significant wave height
  • long_name: variance of wind speed
  • units: m2/s2
  • var_id: u10_var
  • names: variance of wind speed
  • long_name: variance of wind speed * sign. wave height
  • var_id: u10swh_var
  • units: m4/s2
  • names: variance of wind speed * sign. wave height
  • units: m9/s9
  • long_name: variance of wind speed cubed
  • var_id: u103_var
  • names: variance of wind speed cubed
  • units: m4/s4
  • long_name: variance of wind speed squared
  • var_id: u102_var
  • names: variance of wind speed squared
  • units: m/s
  • long_name: wind speed (Witter & Chelton, 1991)
  • var_id: u10
  • names: wind speed (Witter & Chelton, 1991)
  • units: m2/s
  • long_name: wind speed * significant wave height
  • var_id: u10swh
  • names: wind speed * significant wave height
  • long_name: wind speed cubed (Witter & Chelton, 1991)
  • var_id: u103
  • units: m3/s3
  • names: wind speed cubed (Witter & Chelton, 1991)
  • units: m2/s2
  • long_name: wind speed squared (Witter & Chelton, 1991)
  • var_id: u102
  • names: wind speed squared (Witter & Chelton, 1991)

Co-ordinate Variables

  • long_name: no of month since start of year (i.e. 1 = Jan)
  • standard_name: time
  • var_id: time
  • names: time, no of month since start of year (i.e. 1 = Jan)
Coverage
Temporal Range
Start time:
1993-01-01T00:00:00
End time:
2004-12-31T00:00:00
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°