nerc.ac.uk

Prediction and analysis of long-term variability of temperature and salinity in the Irish Sea

Young, E. F ORCID: https://orcid.org/0000-0002-7069-6109; Holt, J. T. ORCID: https://orcid.org/0000-0002-3298-8477. 2007 Prediction and analysis of long-term variability of temperature and salinity in the Irish Sea. Journal of Geophysical Research, 112 (C1). Art. No. C01008. https://doi.org/10.1029/2005JC003386

Before downloading, please read NORA policies.
[img]
Preview
Text
Young_-_Prediction_and_analysis.pdf

Download (2MB)

Abstract/Summary

The variability of temperature and salinity in the Irish Sea over the 40 year period 1960 - 1999 is investigated using a free-running fine-resolution local area model. The skill of the model to represent observed temperature and salinity variability is assessed using conductivity-temperature-depth survey data ( 3397 profiles) and a long time series of measurements from Cypris station (southwest of Isle of Man). This clearly demonstrates that the model can reproduce the observed seasonal and longer-term cycles in temperature, with mean and RMS errors of - 0.01 degrees C and 0.78 degrees C. Particularly apparent is the long-term warming trend at Cypris station and throughout the model domain. Model estimates of salinity are less accurate and are generally too saline (mean and RMS errors are 0.79 and 0.98 practical salinity units). Inaccuracies are likely to arise from boundary conditions and forcing (riverine and surface). However, while absolute values are not particularly well represented, the model reproduces many of the trends in the salinity variability observed at Cypris station, suggesting that the dominant physical processes in the Irish Sea, with timescales up to similar to 3 years, are well represented. The model is also used to investigate the variability in temperature stratification. While stratification is confined to approximately the same geographical area in each year of the simulation, there is significant variability in the timing of the onset and breakdown of stratification and in the peak surface to bed temperature difference. Together, these results suggest that a local area model with limited boundary conditions may be sufficiently accurate for climatic investigation of some (locally forced) parameters

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1029/2005JC003386
Programmes: Oceans 2025 > Sustainable marine resources
ISSN: 0148-0227
Additional Information. Not used in RCUK Gateway to Research.: Not subject to U. S. copyright An edited version of this paper was published by AGU. Published 2007 American Geophysical Union E. F. Young and J. T. Holt (2007) Prediction and analysis of long-term variability of temperature and salinity in the Irish Sea, Journal of Geophysical Research, 112 (C1). Art. No. C01008, 10.1029/2005JC003386. To view the published open abstract go to http://dx.doi.org and enter the DOI
Additional Keywords: ISI REF LLM62 PROG3 THEME 6 UKPUBLICSECTOR AJWFEB07 HIJ JOURNAL NISCFEB07 OPM2007 AR0607 POLIRISH EUROPEAN CONTINENTAL SHELF DENSITY EVOLVING MODEL NORTH CHANNEL CURVILINEAR MODEL FLOW-THROUGH ADVECTION DYNAMICS CURRENTS SYSTEM TC-99 IRISH SEA POLCOMS CLIMATE VARIABILITY POLIRISH
NORA Subject Terms: Marine Sciences
Date made live: 08 Oct 2008 10:24 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/2671

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...