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Air–Sea fluxes from ICOADS: the construction of a new gridded dataset with uncertainty estimates

Record type: Article

The methods used to calculate a new in situ global dataset of air–sea exchanges, called the NOCS Flux Dataset v2.0, are described. The fluxes have been derived from in situ weather reports from Voluntary Observing Ships (VOS) covering the period 1973–2006. The reports have been adjusted for known biases and residual uncertainties estimated. The dataset is constructed using Optimal Interpolation (OI) using new estimates of random uncertainty in the observations. Daily fields have been calculated on a 1° latitude by 1° longitude grid, each grid box and time step have an associated uncertainty estimate. Monthly fields have been calculated from simple averages of the daily fields and monthly uncertainty estimates from the daily uncertainties, using estimates of the autocorrelation between the daily uncertainty estimates. The uncertainties due to the choice of flux parameterisation have not been accounted for. Bias adjustments applied to the data are shown to reduce trends in the data and to improve the consistency of estimates of air temperature, sea surface temperature (SST) and specific humidity. The bias adjustments also improve the agreement of NOCS v2.0 with independent data from research moorings. Cross-validation of the dataset suggests that the uncertainty estimates are realistic, but that the uncertainties are probably underestimated in high variability regions and overestimated in regions with lower variability.

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Citation

Berry, David I. and Kent, Elizabeth C. (2011) Air–Sea fluxes from ICOADS: the construction of a new gridded dataset with uncertainty estimates International Journal of Climatology, 31, (7), pp. 987-1001. (doi:10.1002/joc.2059).

More information

e-pub ahead of print date: 11 December 2009
Published date: 15 June 2011
Keywords: ICOADS, flux, ocean, air–sea interaction, VOS, ship, marine meteorology
Organisations: Marine Physics and Ocean Climate

Identifiers

Local EPrints ID: 71590
URI: http://eprints.soton.ac.uk/id/eprint/71590
PURE UUID: d32a3d1e-cbd5-4722-9c76-28d64fe8ac2e

Catalogue record

Date deposited: 15 Dec 2009
Last modified: 18 Jul 2017 23:59

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