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Impact of assimilating temperature and salinity measurements by animal‐borne sensors on FOAM ocean model fields
Author(s) -
Carse Fiona,
Martin Matthew J.,
Sellar Alistair,
Blockley Edward W.
Publication year - 2015
Publication title -
quarterly journal of the royal meteorological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.744
H-Index - 143
eISSN - 1477-870X
pISSN - 0035-9009
DOI - 10.1002/qj.2613
Subject(s) - salinity , temperature salinity diagrams , environmental science , data assimilation , latitude , sampling (signal processing) , oceanography , atmospheric sciences , climatology , geology , meteorology , geography , geodesy , filter (signal processing) , computer science , computer vision
Temperature and salinity profiles are being obtained from instrumented marine mammals in near real‐time. The mammals, mostly elephant seals, sample to depths of up to 2000 m in high‐latitude regions where there are very few other in situ observations. This study investigates the impact of mammal temperature and salinity observations on the UK Met Office's global ocean forecasting model, focussing on impacts in the Southern Ocean region. Three reanalyses were performed, each assimilating a varying amount of seal data whilst holding all other conditions constant. Assimilation of both temperature and salinity profiles from mammals has a detrimental effect on the model's temperature and salinity fields due to a high bias in the salinity values. Restricting assimilation to temperature profiles only has benefits for both temperature and salinity fields in regions of the ocean where seals are sampling, improving root‐mean‐square error statistics by between 1 and 6% compared to the case where no mammal data were assimilated. In addition, the assimilation of seal temperature profiles alters the mixed‐layer depth and repositions and increases gradients of some fronts compared to the no‐seals case.