| hasData_Center_Short_Name |
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| hasDataset_Online_Resource |
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| hasDataset_Title |
- NOCS Surface Flux Dataset v2.0
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| hasEntry_ID |
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| hasReference |
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Berry, D. I. and Kent, E. C., 2011: Air-Sea Fluxes from ICOADS: The
Construction of a New Gridded Dataset with Uncertainty Estimates.
International Journal of Climatology, 31(7), 987-1001 (DOI:
10.1002/joc.2059), URL:
http://onlinelibrary.wiley.com/doi/10.1002/joc.2059/abstract.
Berry, D. I. and E. C. Kent, 2009: A New Air-Sea Interaction Gridded
Dataset from ICOADS with Uncertainty Estimates. Bulletin of the
American Meteorological Society, 90(5), 645-656 (DOI:
10.1175/2008BAMS2639.1), URL:
http://rda.ucar.edu/datasets/ds260.3/docs/i1520-0477-90-5-645.pdf.
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| hasSummary |
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The National Oceanography Centre Southampton (NOCS) Version 2.0
Surface Flux Dataset is a monthly mean gridded dataset of marine
surface measurements and derived fluxes constructed using optimal
interpolation. Input for the period 1973 to 2006 are ICOADS Release
2.4 ship data, the update from 2007 to 2014 uses ICOADS Release 2.5
and data after 2007 are preliminary. The dataset is presented as a
time series of monthly mean values on a 1 degree area grid. The
quality of the gridded data is quantified by estimates of random,
bias and total uncertainty. The monthly means were derived from
daily estimates of each variable and the standard deviation of these
daily values is also available. Click HERE
[http://rda.ucar.edu/datasets/ds260.3/docs/nocs2_variable_defs.doc]
for detailed variable information. Users are advised to take account
of the uncertainty estimates provided, and to note that in very
poorly sampled regions, such as the Southern Ocean, the uncertainty
estimates themselves may be unreliable.
Surface meteorological fields have been adjusted to account for
varying measurement heights and for known biases (Berry and Kent
2009, Berry and Kent 2011). Surface fluxes have been calculated from
daily fields of the surface meteorological parameters using bulk
parameterizations (Reed 1977; Clark et al. 1974; Smith 1980; 1988).
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| GCMD Sciencekeywords describing the dataset. Click on Keyword to find similar datasets | |
