A comparison of global marine surface specific humidity datasets from in situ observations and atmospheric reanalysis
A comparison of global marine surface specific humidity datasets from in situ observations and atmospheric reanalysis
The accurate estimation of near surface marine specific humidity is necessary for climate and air-sea interaction applications. Available estimates of monthly-mean specific humidity spanning the past 50-years are based on a variety of sources including in situ observations, atmospheric reanalyses and datasets that blend many different data sources. Eight specific humidity datasets are compared and little consensus emerges as to mean values, regional variations and changes over time. For large area averages the datasets do show consistency in their interannual variations and, in the Extratropics, in their seasonal cycles. Adjustments applied to in situ observations from ships are shown to be smaller than differences among the datasets and in well-sampled regions and periods the in situ data are able to highlight biases in the reanalysis-based specific humidity estimates. Near surface specific humidity estimates from two recent atmospheric reanalysis projects show markedly different responses in Tropical specific humidity to the assimilation of satellite radiance measurements that became available in 1999.
There is less confidence in reanalysis-based estimates of specific humidity over the ocean than over land. However the in situ based humidity analyses have suffered in recent years with a reduction in observation numbers and lack of information on observation methods and heights. Consequently near-surface specific humidity remains relatively poorly known over the oceans.
355-376
Kent, E.C.
ea23f6f0-ccf6-4702-a5c9-184e9c5d4427
Berry, D.I.
55ffc590-f459-49c8-aecf-842d65aeb0fb
Prytherch, J.
6bad8c05-884c-42af-9b8e-8e56772aad9a
Roberts, J.B.
26d773dc-97be-45a2-8125-67147f1ae500
February 2014
Kent, E.C.
ea23f6f0-ccf6-4702-a5c9-184e9c5d4427
Berry, D.I.
55ffc590-f459-49c8-aecf-842d65aeb0fb
Prytherch, J.
6bad8c05-884c-42af-9b8e-8e56772aad9a
Roberts, J.B.
26d773dc-97be-45a2-8125-67147f1ae500
Kent, E.C., Berry, D.I., Prytherch, J. and Roberts, J.B.
(2014)
A comparison of global marine surface specific humidity datasets from in situ observations and atmospheric reanalysis.
International Journal of Climatology, 34 (2), .
(doi:10.1002/joc.3691).
Abstract
The accurate estimation of near surface marine specific humidity is necessary for climate and air-sea interaction applications. Available estimates of monthly-mean specific humidity spanning the past 50-years are based on a variety of sources including in situ observations, atmospheric reanalyses and datasets that blend many different data sources. Eight specific humidity datasets are compared and little consensus emerges as to mean values, regional variations and changes over time. For large area averages the datasets do show consistency in their interannual variations and, in the Extratropics, in their seasonal cycles. Adjustments applied to in situ observations from ships are shown to be smaller than differences among the datasets and in well-sampled regions and periods the in situ data are able to highlight biases in the reanalysis-based specific humidity estimates. Near surface specific humidity estimates from two recent atmospheric reanalysis projects show markedly different responses in Tropical specific humidity to the assimilation of satellite radiance measurements that became available in 1999.
There is less confidence in reanalysis-based estimates of specific humidity over the ocean than over land. However the in situ based humidity analyses have suffered in recent years with a reduction in observation numbers and lack of information on observation methods and heights. Consequently near-surface specific humidity remains relatively poorly known over the oceans.
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Submitted date: June 2012
Accepted/In Press date: April 2013
Published date: February 2014
Organisations:
Marine Physics and Ocean Climate
Identifiers
Local EPrints ID: 340098
URI: http://eprints.soton.ac.uk/id/eprint/340098
PURE UUID: 5e174d39-5bb6-4fb1-b5c0-5e8f84d9acd1
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Date deposited: 11 Jun 2012 12:48
Last modified: 14 Mar 2024 11:19
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Author:
E.C. Kent
Author:
D.I. Berry
Author:
J. Prytherch
Author:
J.B. Roberts
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