{"vid":"134145","uid":"453","title":"The Wider Loch Linnhe System Model","log":"Edited by HilaryA.","status":"1","comment":"0","promote":"0","sticky":"0","ds_switch":"","nid":"16223","type":"generic_information_page","language":"und","created":"1539853437","changed":"1661272318","tnid":"0","translate":"0","revision_timestamp":"1661272318","revision_uid":"58","field_description":{"und":[{"value":"
The Wider Loch Linnhe System (WLLS) model is an implementation of the Finite Volume Community Ocean Model (FVCOM) and has a domain covering many of the Inner Hebrides from the southern tip of the Mull of Kintyre to the Isle of Skye in the north. The western boundary extends to approximately 7.5\u00b0 W from Northern Ireland to the southern Outer Hebrides. The model grid is unstructured with the highest horizontal resolution in Loch Linnhe, Loch Leven and Loch Sunart, where the node spacing goes down to 15 m. The typical node spacing of these sea lochs is around 50 \u2013 100 m, with Lower Loch Linnhe having a typical node spacing of 100 \u2013 150 m. Beyond Loch Linnhe, its side lochs, and Loch Sunart, the unstructured grid resolution reduces further, with the node spacing at the western boundary being around 5 km. The water column is resolved using a hybrid sigma layer scheme with 10 standard terrain following sigma layers, each representing 10% of the water column, in water depths shallower than 13 m. In areas deeper than 13 m. the water column is resolved with 2 fixed layers at the surface, each 1 m. thick, 2 fixed layers at the bottom, each 2.5 m. thick, and 6 sigma layers of equal spacing for the mid depths. This enables the freshwater output from Upper Loch Linnhe to be well resolved.
\r\n\r\nThe main output from the model to date is a one year Climatology representing typical present day conditions (1990-2014). For this climatology, the model was forced by the wider Scottish Shelf Model (SSM) climatology at the open boundary. Effectively, the WLLS model is nested within the wider SSM. Climatological atmospheric forcing and freshwater input were also applied to the model. The wider SSM has a 1993 tidal component included, which was then applied to the WLLS climatology. The latest version of the climatology is WLLS 1.02.
\r\n","format":"filtered_html","safe_value":"The Wider Loch Linnhe System (WLLS) model is an implementation of the Finite Volume Community Ocean Model (FVCOM) and has a domain covering many of the Inner Hebrides from the southern tip of the Mull of Kintyre to the Isle of Skye in the north. The western boundary extends to approximately 7.5\u00b0 W from Northern Ireland\u00a0to the southern Outer Hebrides. The model grid is unstructured with the highest horizontal resolution in Loch Linnhe, Loch Leven and Loch Sunart, where the node spacing goes down to 15 m.\u00a0 The typical node spacing of these sea lochs is around 50 \u2013 100 m, with \u00a0Lower Loch Linnhe having a typical node spacing of 100 \u2013 150 m. Beyond Loch Linnhe, its side lochs, and Loch Sunart, the unstructured grid resolution reduces further, with the node spacing at the western boundary being around 5 km. The water column is resolved using a hybrid sigma layer scheme with 10 standard terrain following sigma layers, each representing 10% of the water column, in water depths shallower than 13 m. In areas deeper than 13 m.\u00a0the water column is resolved with 2 fixed layers at the surface, each 1 m. thick, 2 fixed layers at the bottom, each 2.5 m. thick, and 6 sigma layers of equal spacing for the mid depths. This enables the freshwater output from Upper Loch Linnhe to be well resolved.
\nThe main output from the model to date is a one year Climatology representing typical present day conditions (1990-2014). For this climatology, the model was forced by the wider Scottish Shelf Model (SSM) climatology at the open boundary. Effectively, the WLLS model is nested within the wider SSM. Climatological atmospheric forcing and freshwater input were also applied to the model. The wider SSM has a 1993 tidal component included, which was then applied to the WLLS climatology. The latest version of the climatology is WLLS 1.02.
\n"}]},"field_infomration_images":{"und":[{"fid":"41059","uid":"453","filename":"SSM WLLS domain and node spacing","uri":"public://ssm_wlls_node_spacing.png","filemime":"image/png","filesize":"85893","status":"1","timestamp":"1539864604","type":"image","field_tags":[],"field_file_image_alt_text":{"und":[{"value":"The Wider Loch Linnhe System model domain and node spacing","format":null,"safe_value":"The Wider Loch Linnhe System model domain and node spacing"}]},"field_file_image_title_text":{"und":[{"value":"The model domain and node spacing of the Wider Loch Linnhe System model","format":null,"safe_value":"The model domain and node spacing of the Wider Loch Linnhe System model"}]},"_drafty_revision_requested":"FIELD_LOAD_CURRENT","rdf_mapping":[],"path":{"pathauto":"1"},"title":"The model domain and node spacing of the Wider Loch Linnhe System model","alt":"The Wider Loch Linnhe System model domain and node spacing","metadata":{"height":2480,"width":1772},"height":"2480","width":"1772"}]},"field_infomration_data_link":[],"field_information_map_link":[],"field_theme":{"und":[{"tid":"1964"}]},"field_google_plus_gallery":[],"field_tags":[],"field_footer_text":{"und":[{"value":"Model Runs and Versions
\r\n\r\nThe model versions/runs listed each have a different computational grid and/or use different forcing data. This is reflected in the version numbering convention where the first number indicates the grid version and the second indicates the model run and/or the forcing data used. Rows where the text is grey indicate that the model version has been surpassed with a later version, usually listed directly below. For example, WLLS 1.01 was replaced by WLLS 1.02.
\r\n\r\nVersion Number | \r\n\t\t\tTime Period | \r\n\t\t\tDescription | \r\n\t\t\tBoundary Forcing | \r\n\t\t\tAtmospheric Forcing | \r\n\t\t\tFresh Water Forcing | \r\n\t\t\tFVCOM Version | \r\n\t\t\tDOI | \r\n\t\t
---|---|---|---|---|---|---|---|
WLLS 1.01 | \r\n\t\t\t1 year climatology representing 1960 - 2004 | \r\n\t\t\tOriginal WLLS grid with climatological forcing | \r\n\t\t\tThe wider SSM version 1.01 | \r\n\t\t\tClimatology derived from ECMWF ERA-40 and ERA-Interim (1960-2004) | \r\n\t\t\tGrid2Grid climatology (1962-2011) | \r\n\t\t\t3.1.6 | \r\n\t\t\t\r\n\t\t |
WLLS 1.02 | \r\n\t\t\t1 year climatology representing 1990 - 2014 | \r\n\t\t\tOriginal WLLS grid with updated climatological forcing | \r\n\t\t\tThe wider SSM version 2.01 | \r\n\t\t\tClimatology derived from ECMWF ERA-Interim (1990-2014) | \r\n\t\t\tGrid2Grid climatology (1962-2011) | \r\n\t\t\t\r\n\t\t\t | \r\n\t\t\t\r\n\t\t\t | \r\n\t\t
WLLS 1.03 | \r\n\t\t\t3 year hindcast 2011 - 2013 | \r\n\t\t\tOriginal WLLS grid with new hindcast forcing. | \r\n\t\t\tAMM7 daily mean reanalysis with the tide added from a harmonic analysis of archived AMM7 forecast data. | \r\n\t\t\t\r\n\t\t\t WRF 1/18\u00b0 resolution supplied by CEH [1, 2] \r\n\t\t\t | \r\n\t\t\tGrid2Grid river discharge climatology (1962-2011), River temperature climatology applied based on data from the Scotland River Temperature Monitoring Network [3]. | \r\n\t\t\t\r\n\t\t\t | \r\n\t\t |
WLLS 1.04 | \r\n\t\t\t2021 hindcast | \r\n\t\t\tOriginal WLLS grid with new 2021 hindcast forcing and initial conditions from AMM15. | \r\n\t\t\tAMM15 | \r\n\t\t\tWRF 1/18\u00b0 resolution supplied by CEH [1, 2] | \r\n\t\t\tGrid2Grid river discharge climatology (1962-2011), River temperature climatology applied based on data from the Scotland River Temperature Monitoring Network [3]. | \r\n\t\t\t\r\n\t\t\t | \r\n\t\t |
If you are interested in any of these models, or the model outputs, please contact the Marine Scotland Science Oceanography group (mss.oceanography@gov.scot). Some reduced precision model outputs of selected variables are available for download by following the links in the data sources table below and/or following the DOI links.
\r\n\r\nReferences:
\r\n\r\n[1] Vieno, M., Heal, M. R., Williams, M. L., Carnell, E. J., Nemitz, E., Stedman, J. R., and Reis, S.: The sensitivities of emissions reductions for the mitigation of UK PM2.5, Atmos. Chem. Phys., 16, 265-276, 10.5194/acp-16-265-2016, 2016.
\r\n\r\n[2] Vieno, M., Heal, M. R., Hallsworth, S., Famulari, D., Doherty, R. M., Dore, A. J., Tang, Y. S., Braban, C. F., Leaver, D., Sutton, M. A., and Reis, S.: The role of long-range transport and domestic emissions in determining atmospheric secondary inorganic particle concentrations across the UK, Atmos. Chem. Phys., 14, 8435-8447, 10.5194/acp-14-8435-2014, 2014.
\r\n\r\n[3] F. L. Jackson, I. A. Malcolm, David M. Hannah; A novel approach for designing large-scale river temperature monitoring networks. Hydrology Research 1 June 2016; 47 (3): 569\u2013590. doi: https://doi.org/10.2166/nh.2015.106
\r\n","format":"full_html","safe_value":"Model Runs and Versions
\nThe model versions/runs listed each have a different computational grid and/or use different forcing data. This is reflected in the version numbering convention where the first number indicates the grid version and the second indicates the model run and/or the forcing data used. Rows where the text is grey indicate that the model version has been surpassed with a later version, usually listed directly below. For example, WLLS\u00a01.01 was replaced by WLLS\u00a01.02.
\nVersion Number | \nTime Period | \nDescription | \nBoundary Forcing | \nAtmospheric Forcing | \nFresh Water Forcing | \nFVCOM Version | \nDOI | \n
---|---|---|---|---|---|---|---|
WLLS 1.01 | \n1 year climatology representing 1960 - 2004 | \nOriginal WLLS grid with climatological forcing | \nThe wider SSM version 1.01 | \nClimatology derived from ECMWF ERA-40 and ERA-Interim (1960-2004) | \nGrid2Grid\u00a0climatology (1962-2011) | \n3.1.6 | \n\u00a0 | \n
WLLS 1.02 | \n1 year climatology representing 1990 - 2014 | \nOriginal\u00a0WLLS grid\u00a0with updated climatological forcing | \nThe wider SSM version 2.01 | \nClimatology derived from ECMWF\u00a0ERA-Interim (1990-2014) | \nGrid2Grid\u00a0climatology (1962-2011) | \n\u00a0 | \n\n\n | \n
WLLS 1.03 | \n3 year hindcast 2011 - 2013 | \nOriginal WLLS grid with new hindcast\u00a0forcing. | \nAMM7\u00a0daily mean reanalysis\u00a0with the tide added from a harmonic analysis of archived AMM7 forecast data. | \n\n WRF\u00a01/18\u00b0\u00a0resolution supplied by CEH [1, 2] \n | \nGrid2Grid river discharge climatology (1962-2011), River temperature climatology applied based on data from the Scotland River Temperature Monitoring Network\u00a0[3]. | \n\u00a0 | \n\u00a0 | \n
WLLS 1.04 | \n2021 hindcast | \nOriginal WLLS grid with new 2021 hindcast\u00a0forcing and initial conditions from AMM15. | \nAMM15 | \nWRF\u00a01/18\u00b0\u00a0resolution supplied by CEH [1, 2] | \nGrid2Grid river discharge climatology (1962-2011), River temperature climatology applied based on data from the Scotland River Temperature Monitoring Network\u00a0[3]. | \n\u00a0 | \n\u00a0 | \n
If you are interested in any of these models, or the model outputs, please contact the Marine Scotland Science Oceanography group (mss.oceanography@gov.scot). Some reduced precision model outputs of selected variables are available for download by following the links in the data sources table below and/or following the DOI links.
\nReferences:
\n[1] Vieno, M., Heal, M. R., Williams, M. L., Carnell, E. J., Nemitz, E., Stedman, J. R., and Reis, S.: The sensitivities of emissions reductions for the mitigation of UK PM2.5, Atmos. Chem. Phys., 16, 265-276, 10.5194/acp-16-265-2016, 2016.
\n[2] Vieno, M., Heal, M. R., Hallsworth, S., Famulari, D., Doherty, R. M., Dore, A. J., Tang, Y. S., Braban, C. F., Leaver, D., Sutton, M. A., and Reis, S.: The role of long-range transport and domestic emissions in determining atmospheric secondary inorganic particle concentrations across the UK, Atmos. Chem. Phys., 14, 8435-8447, 10.5194/acp-14-8435-2014, 2014.
\n[3]\u00a0F. L. Jackson, I. A. Malcolm, David M. Hannah; A novel approach for designing large-scale river temperature monitoring networks. Hydrology Research 1 June 2016; 47 (3): 569\u2013590. doi: https://doi.org/10.2166/nh.2015.106
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