SST diurnal variability in the North Sea and the Baltic Sea

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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SST diurnal variability in the North Sea and the Baltic Sea. / Karagali, Ioanna; Høyer, Jacob; Hasager, Charlotte Bay.

In: Remote Sensing of Environment, Vol. 121, 2012, p. 159-170.

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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Author

Karagali, Ioanna; Høyer, Jacob; Hasager, Charlotte Bay / SST diurnal variability in the North Sea and the Baltic Sea.

In: Remote Sensing of Environment, Vol. 121, 2012, p. 159-170.

Publication: Research - peer-reviewJournal article – Annual report year: 2012

Bibtex

@article{6615f9367f8d4ec88b4e3e768cadb26e,
title = "SST diurnal variability in the North Sea and the Baltic Sea",
publisher = "Elsevier Inc.",
author = "Ioanna Karagali and Jacob Høyer and Hasager, {Charlotte Bay}",
year = "2012",
doi = "10.1016/j.rse.2012.01.016",
volume = "121",
pages = "159--170",
journal = "Remote Sensing of Environment",
issn = "0034-4257",

}

RIS

TY - JOUR

T1 - SST diurnal variability in the North Sea and the Baltic Sea

A1 - Karagali,Ioanna

A1 - Høyer,Jacob

A1 - Hasager,Charlotte Bay

AU - Karagali,Ioanna

AU - Høyer,Jacob

AU - Hasager,Charlotte Bay

PB - Elsevier Inc.

PY - 2012

Y1 - 2012

N2 - Five years of sea surface temperature (SST) retrievals from a geostationary platform are utilised to identify and characterise diurnal warming in the North and Baltic Seas. Observations from the Spinning Enhanced Visible Infrared Imager (SEVIRI) on board the Meteosat Second Generation satellite are proven valuable for quantifying the daily SST cycle in shallow and coastal waters at latitudes 48–60N. Satellite minus in situ observations from moored buoys show biases ranging from −0.3K to 0.1K. A thorough analysis is carried out to obtain the optimal reference field used for calculating the daytime temperature anomalies. The best night-time reference field candidate is demonstrated to be an average of 3days of satellite observations from local midnight to 0300. When compared against night-time in situ measurements from various locations, mean biases are found in the order of ±0.1K and standard deviation (σ) between 0.4K and 0.9K. The 5year record with daytime temperature anomalies is used to derive robust statistical description of duration, spatial extent, proximity to coast and water depth of the diurnal warming events. Seasonal and inter-annual variations in the diurnal warming are also quantified. Daytime anomalies exceeding 2K are identified during the spring and summer months of every year, peaking at 1500 LT. Events with daily anomalies exceeding 5K are observed. Areas where diurnal variability is often observed coincide with areas of frequently observed low winds and turbid waters (high Kd(490) values).

AB - Five years of sea surface temperature (SST) retrievals from a geostationary platform are utilised to identify and characterise diurnal warming in the North and Baltic Seas. Observations from the Spinning Enhanced Visible Infrared Imager (SEVIRI) on board the Meteosat Second Generation satellite are proven valuable for quantifying the daily SST cycle in shallow and coastal waters at latitudes 48–60N. Satellite minus in situ observations from moored buoys show biases ranging from −0.3K to 0.1K. A thorough analysis is carried out to obtain the optimal reference field used for calculating the daytime temperature anomalies. The best night-time reference field candidate is demonstrated to be an average of 3days of satellite observations from local midnight to 0300. When compared against night-time in situ measurements from various locations, mean biases are found in the order of ±0.1K and standard deviation (σ) between 0.4K and 0.9K. The 5year record with daytime temperature anomalies is used to derive robust statistical description of duration, spatial extent, proximity to coast and water depth of the diurnal warming events. Seasonal and inter-annual variations in the diurnal warming are also quantified. Daytime anomalies exceeding 2K are identified during the spring and summer months of every year, peaking at 1500 LT. Events with daily anomalies exceeding 5K are observed. Areas where diurnal variability is often observed coincide with areas of frequently observed low winds and turbid waters (high Kd(490) values).

KW - SST

KW - Diurnal warming

KW - SEVIRI

U2 - 10.1016/j.rse.2012.01.016

DO - 10.1016/j.rse.2012.01.016

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

VL - 121

SP - 159

EP - 170

ER -