Oceanographic and Meteorological Data from the TAO Array of Moored Ocean Buoys (1980-present)Entry ID: NOAA_PMEL_TAO_DIF
Abstract: The Tropical Atmosphere Ocean (TAO) array of moored buoys spans the
tropical Pacific from 137E to 95W and from 8S to 8N. Moorings within
the array measure surface meteorological and upper-ocean parameters
and transmit data in realtime to shore via Service Argos. The array
is part of the in-situ measurement portion of the Tropical
Ocean-Global Atmosphere (TOGA) ... program, a 10-year (1985-1994) study of
climate variability on seasonal to interannual time scales.
TAO began in 1985 as regional-scale meridional arrays spanning the
Equator at 110W and 165E and has steadily expanded to its present size
of approximately 69 moorings. Moorings are typically separated by 2-3
degrees of latitude and 10-15 degrees of longitude. The majority of
TAO moorings are ATLAS moorings which measure surface wind, air
temperature, relative humidity, sea-surface temperature, subsurface
temperature and pressure. At a few sites along the Equator, PROTEUS
and/or current meter moorings are deployed to measure and transmit the
same surface parameters, as well as subsurface currents.
Realtime El Nino and La Nina data from the tropical Pacific Ocean is
provided by the Tropical Atmosphere Ocean / Triangle Trans-Ocean buoy
network (TAO/TRITON) of moored ocean buoys. The TAO/TRITON array is a
major component of the Global Climate Observation System, designed to
improve detection, understanding, and prediction of El Nino.
The TAO array and TAO Project are described at:
TAO data is maintained on-line at PMEL
- on anonymous ftp: ftp://ftp.pmel.noaa.gov
- on the World Wide Web:
TAO/TRITON Data Display:
(Click for Interactive Map)
Data Set Citation
Dataset Originator/Creator: Environment Canada, Meteorological Service of Canada, CCRM
Dataset Title: Historical Canadian Climate Database - Monthly Homogenized Precipitation and Temperature Data SetsOnline Resource: http://www.cccma.bc.ec.gc.ca/hccd/
Start Date: 1895-01-01Stop Date: 1999-12-31
Latitude Resolution: 0.0417 Decimal degrees
Longitude Resolution: 0.0417 Decimal degrees
ISO Topic Category
Quality Various sources of tropical storms were organized into GIS coverages by Pascal Peduzzi and Christian Herold of UNEP/GRID-Geneva. Each storm track was buffered using Holland's asymmetrical wind speed profile model. These buffered areas represent the areas exposed to cyclones.
The different wind speed buffers were translated into six categories using the Saffir-Simpson Hurricane scale. Overlaying a 1 km resolution grid produced a surface representing how often a grid cell is hit by a hurricane and the associated wind speed, a measure of severity.
The final surface classified the range of frequency into deciles, 10 classes of approximately an equal number of grid cells. Ten represents cells that are the most hazardous, while 1 denotes the least hazardous. Note that areas of no data are not necessarily areas without hazard, but rather that a mask was used to exclude from analysis those areas that had a population density less than 5 persons per square kilometer and without significant agriculture.
Access Constraints A copy of the archived documents are available for download from the provided URL.
Use Constraints This data set conforms to the PICCCBY Attribution License (http://creativecommons.org/licenses/by/3.0/).
Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=CAML_Pro... when using these data.
Data Set Progress
Distribution Media: HTTP
Distribution Size: 3.9 MB
Distribution Format: PDF
Phone: +61 03 62323124
Email: victoria.wadley at aad.gov.au
Australian Antarctic Division
Province or State: Tasmania
Postal Code: 7050
Phone: +61 3 6226 2959
Email: michael.stoddart at utas.edu.au
Institute for Marine and Antarctic Studies University of Tasmania
Province or State: Tasmania
Postal Code: 7001
Phone: +44 1223 336550
Fax: +44 1223 336549
Email: mds68 at cam.ac.uk
Scientific Committee on Antarctic Research (SCAR) Scott Polar Research Institute, Lensfield Road
Postal Code: CB2 1ER
Role: TECHNICAL CONTACT
Role: DIF AUTHOR
Email: afdoc at uaa.alaska.edu
Consortium Library, University of Alaska Anchorage 3211 Providence Drive
Province or State: AK
Postal Code: 99508
Brandt, A, et al (2007), First insights into the biodiversity and biogeography of the Southern Ocean deep sea, Nature, 447, 307-311, doi:10.1038/nature05827
Creation and Review Dates
DIF Creation Date: 2010-12-16
Last DIF Revision Date: 2011-01-31