nerc.ac.uk

A comparison of SSM/I-derived global marine surface specific humidity datasets

Prytherch, John; Kent, Elizabeth C.; Fangohr, Susanne; Berry, David I.. 2015 A comparison of SSM/I-derived global marine surface specific humidity datasets. International Journal of Climatology, 35 (9). 2359-2381. 10.1002/joc.4150

Before downloading, please read NORA policies.
[img]
Preview
Text (Open Access paper)
joc4150.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (9MB) | Preview

Abstract/Summary

Satellite-based microwave sensors have, since the 1980s, provided a means to retrieve near-surface marine specific humidity (qa), accurate estimation of which is necessary for climate and air–sea interaction applications. Seven satellite measurement-derived monthly mean humidity datasets are compared with one another and with a dataset constructed from in situ measurements. The means, spatial and temporal structures of the datasets are shown to be markedly different, with a range of yearly, global mean qa of ∼1 g kg–1. Comparison of the datasets derived using the same satellite measurements of brightness temperature reveals differences in qa that depend on the source of satellite data; the processing and quality control applied to the data; and the algorithm used to derive qa from the satellite measurements of brightness temperature. Regional differences between satellite-derived qa due to the choice of input data, quality control and retrieval algorithm can all exceed the accuracy requirements for surface flux calculation of ∼0.3 g kg–1 and in some cases can be several g kg–1 in monthly means for some periods and regions.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.1002/joc.4150
ISSN: 0899-8418
Additional Keywords: marine climatology; satellite observations; surface humidity; air–sea interaction; specific humidity; SSM/I
Date made live: 22 Aug 2014 09:14 +0 (UTC)
URI: http://nora.nerc.ac.uk/id/eprint/508156

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...