dc.contributor.author | Cropper, Thomas E. | |
dc.contributor.author | Berry, David I. | |
dc.contributor.author | Cornes, Richard C. | |
dc.contributor.author | Kent, Elizabeth C. | |
dc.date.accessioned | 2023-10-27T00:35:53Z | |
dc.date.available | 2023-10-27T00:35:53Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Cropper, Thomas, Berry, David, Cornes, Richard and Kent, Elizabeth (2023 ) Quantifying daytime heating biases in marine air temperature observations from ships. Journal of Atmospheric and Oceanic Technology, 40, pp.427–438. DOI: https://doi.org/10.1175/JTECH-D-22-0080.1 | en_US |
dc.identifier.uri | https://repository.oceanbestpractices.org/handle/11329/2386 | |
dc.description.abstract | Marine air temperatures recorded on ships during the daytime are known to be biased warm on average
due to energy storage by the superstructure of the vessels. This makes unadjusted daytime observations unsuitable for
many applications including for the monitoring of long-term temperature change over the oceans. In this paper a physicsbased
approach is used to estimate this heating bias in ship observations from ICOADS. Under this approach, empirically
determined coefficients represent the energy transfer terms of a heat budget model that quantifies the heating bias and is
applied as a function of cloud cover and the relative wind speed over individual ships. The coefficients for each ship are
derived from the anomalous diurnal heating relative to nighttime air temperature. Model coefficients, cloud cover, and
relative wind speed are then used to estimate the heating bias ship by ship and generate nighttime-equivalent time series.
A variety of methodological approaches were tested. Application of this method enables the inclusion of some daytime
observations in climate records based on marine air temperatures, allowing an earlier start date and giving an increase in
spatial coverage compared to existing records that exclude daytime observations. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.other | Marine air temperature | en_US |
dc.subject.other | Diurnal effects; | en_US |
dc.subject.other | In situ atmospheric observations | en_US |
dc.subject.other | Ship observations | en_US |
dc.title | Quantifying Daytime Heating Biases in Marine Air Temperature Observations from Ships. | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | pp.427–438 | en_US |
dc.identifier.doi | https://doi.org/10.1175/JTECH-D-22-0080.1 | |
dc.subject.parameterDiscipline | Meteorology | en_US |
dc.subject.dmProcesses | Data quality control | en_US |
dc.bibliographicCitation.title | Journal of Atmospheric and Oceanic Technology | en_US |
dc.bibliographicCitation.volume | 40 | en_US |
dc.bibliographicCitation.issue | 4 | en_US |
dc.description.sdg | 14.a | en_US |
dc.description.methodologyType | Reports with methodological relevance | en_US |
obps.contact.contactname | Thomas Cropper | |
obps.contact.contactemail | thomas.cropper@ noc.ac.uk | |
obps.resourceurl.publisher | https://journals.ametsoc.org/view/journals/atot/40/4/JTECH-D-22-0080.1.xml | |