Modeling Wet Snow Accretion on Power Lines: Improvements to Previous Methods Using 50 Years of Observations
Methods to model wet snow accretion on structures are developed and improved, based on unique records of wet snow icing events as well as large datasets of observed and simulated weather. Hundreds of observed wet snow icing events are logged in detail in an icing database, most of which include an e...
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Veröffentlicht in: | Journal of applied meteorology and climatology 2013-10, Vol.52 (10), p.2189-2203 |
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description | Methods to model wet snow accretion on structures are developed and improved, based on unique records of wet snow icing events as well as large datasets of observed and simulated weather. Hundreds of observed wet snow icing events are logged in detail in an icing database, most of which include an estimate of the mean and maximum diameter of observed icing on overhead power conductors. Observations of weather are furthermore available from a dense network of weather stations. The existing models for wet snow accretion on a standard cylinder are updated with realistic values for the terminal fall speed of wet snowflakes together with a snowflake liquid fraction–based criterion to identify wet snow. The widely used parameterization of the sticking efficiency is found to strongly underestimate the accretion rate. A calibrated parameterization of the sticking efficiency is suggested on the basis of long-term statistics of observed and modeled wet snow loads. Application of the improved method is demonstrated in a high-resolution simulation for a case of observed widespread and intensive wet snow icing in south Iceland. The results form a basis for mapping the climatology of wet snow icing in the complex terrain of Iceland as well as for preparing operational forecasts of wet snow icing and severe weather for overhead power transmission lines in complex terrain. |
doi_str_mv | 10.1175/jamc-d-12-0332.1 |
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Hundreds of observed wet snow icing events are logged in detail in an icing database, most of which include an estimate of the mean and maximum diameter of observed icing on overhead power conductors. Observations of weather are furthermore available from a dense network of weather stations. The existing models for wet snow accretion on a standard cylinder are updated with realistic values for the terminal fall speed of wet snowflakes together with a snowflake liquid fraction–based criterion to identify wet snow. The widely used parameterization of the sticking efficiency is found to strongly underestimate the accretion rate. A calibrated parameterization of the sticking efficiency is suggested on the basis of long-term statistics of observed and modeled wet snow loads. Application of the improved method is demonstrated in a high-resolution simulation for a case of observed widespread and intensive wet snow icing in south Iceland. The results form a basis for mapping the climatology of wet snow icing in the complex terrain of Iceland as well as for preparing operational forecasts of wet snow icing and severe weather for overhead power transmission lines in complex terrain.</description><identifier>ISSN: 1558-8424</identifier><identifier>EISSN: 1558-8432</identifier><identifier>DOI: 10.1175/jamc-d-12-0332.1</identifier><identifier>CODEN: JOAMEZ</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>Accretion ; Applied sciences ; Atmospherics ; Blackouts ; Climate models ; Climatology ; Computer simulation ; Confidence intervals ; Cylinders ; Deposition ; Earth, ocean, space ; Efficiency ; Electrical engineering. Electrical power engineering ; Electrical power engineering ; Electricity ; Electricity distribution ; Exact sciences and technology ; External geophysics ; Humidity ; Ice ; Ice formation ; Icing ; Meteorology ; Modelling ; Overhead networks ; Parameterization ; Parametric models ; Parametrization ; Power lines ; Power networks and lines ; Precipitation ; Severe weather ; Snow ; Snow loads ; Snow. Ice. Glaciers ; Snowflakes ; Statistical methods ; Storms ; Terrain ; Transmission lines ; Weather ; Weather forecasting ; Weather stations ; Wind velocity</subject><ispartof>Journal of applied meteorology and climatology, 2013-10, Vol.52 (10), p.2189-2203</ispartof><rights>2013 American Meteorological Society</rights><rights>2015 INIST-CNRS</rights><rights>Copyright American Meteorological Society Oct 2013</rights><rights>Copyright American Meteorological Society 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c525t-f6e8dca4d102a6f12c40afa0c514e1889252901adf816b5911f8150da9e534663</citedby><cites>FETCH-LOGICAL-c525t-f6e8dca4d102a6f12c40afa0c514e1889252901adf816b5911f8150da9e534663</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26175897$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26175897$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,3668,27901,27902,57992,58225</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27837501$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Nygaard, Bjørn Egil Kringlebotn</creatorcontrib><creatorcontrib>Ágústsson, Hálfdán</creatorcontrib><creatorcontrib>Somfalvi-Tóth, Katalin</creatorcontrib><title>Modeling Wet Snow Accretion on Power Lines: Improvements to Previous Methods Using 50 Years of Observations</title><title>Journal of applied meteorology and climatology</title><description>Methods to model wet snow accretion on structures are developed and improved, based on unique records of wet snow icing events as well as large datasets of observed and simulated weather. Hundreds of observed wet snow icing events are logged in detail in an icing database, most of which include an estimate of the mean and maximum diameter of observed icing on overhead power conductors. Observations of weather are furthermore available from a dense network of weather stations. The existing models for wet snow accretion on a standard cylinder are updated with realistic values for the terminal fall speed of wet snowflakes together with a snowflake liquid fraction–based criterion to identify wet snow. The widely used parameterization of the sticking efficiency is found to strongly underestimate the accretion rate. A calibrated parameterization of the sticking efficiency is suggested on the basis of long-term statistics of observed and modeled wet snow loads. Application of the improved method is demonstrated in a high-resolution simulation for a case of observed widespread and intensive wet snow icing in south Iceland. The results form a basis for mapping the climatology of wet snow icing in the complex terrain of Iceland as well as for preparing operational forecasts of wet snow icing and severe weather for overhead power transmission lines in complex terrain.</description><subject>Accretion</subject><subject>Applied sciences</subject><subject>Atmospherics</subject><subject>Blackouts</subject><subject>Climate models</subject><subject>Climatology</subject><subject>Computer simulation</subject><subject>Confidence intervals</subject><subject>Cylinders</subject><subject>Deposition</subject><subject>Earth, ocean, space</subject><subject>Efficiency</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical power engineering</subject><subject>Electricity</subject><subject>Electricity distribution</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Humidity</subject><subject>Ice</subject><subject>Ice formation</subject><subject>Icing</subject><subject>Meteorology</subject><subject>Modelling</subject><subject>Overhead networks</subject><subject>Parameterization</subject><subject>Parametric models</subject><subject>Parametrization</subject><subject>Power lines</subject><subject>Power networks and lines</subject><subject>Precipitation</subject><subject>Severe weather</subject><subject>Snow</subject><subject>Snow loads</subject><subject>Snow. Ice. Glaciers</subject><subject>Snowflakes</subject><subject>Statistical methods</subject><subject>Storms</subject><subject>Terrain</subject><subject>Transmission lines</subject><subject>Weather</subject><subject>Weather forecasting</subject><subject>Weather stations</subject><subject>Wind velocity</subject><issn>1558-8424</issn><issn>1558-8432</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkc1Lw0AQxYMoWKt3L0JABBFSd2Y_sjmW-k2LgorHZd1sJCHN1t2U4n9vQksFDwoD82B-78HwougYyAgg5ZeVnpskTwATQimOYCcaAOcykYzi7lYj248OQqgIYSxN-SC6mLnc1mXzEb_ZNn5u3CoeG-NtW7om7ubJrayPp2Vjw2G0V-g62KPNHkavN9cvk7tk-nh7PxlPE8ORt0khrMyNZjkQ1KIANIzoQhPDgVmQMkOOGQGdFxLEO88AOsFJrjPLKROCDqPzde7Cu8-lDa2al8HYutaNdcugQDDEFFKW_Y8yJhE5o6xDT3-hlVv6pntEoUTOqZAU_6KAcSIyCrKnyJoy3oXgbaEWvpxr_6WAqL4N9TCeTdSVAlR9Gwo6y9kmWAej68LrxpRh68NU0pSTnjtZc1Vonf-5iy5VZin9BvtCj2Q</recordid><startdate>20131001</startdate><enddate>20131001</enddate><creator>Nygaard, Bjørn Egil Kringlebotn</creator><creator>Ágústsson, Hálfdán</creator><creator>Somfalvi-Tóth, Katalin</creator><general>American Meteorological Society</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>S0X</scope><scope>7TN</scope></search><sort><creationdate>20131001</creationdate><title>Modeling Wet Snow Accretion on Power Lines</title><author>Nygaard, Bjørn Egil Kringlebotn ; Ágústsson, Hálfdán ; Somfalvi-Tóth, Katalin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c525t-f6e8dca4d102a6f12c40afa0c514e1889252901adf816b5911f8150da9e534663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accretion</topic><topic>Applied sciences</topic><topic>Atmospherics</topic><topic>Blackouts</topic><topic>Climate models</topic><topic>Climatology</topic><topic>Computer simulation</topic><topic>Confidence intervals</topic><topic>Cylinders</topic><topic>Deposition</topic><topic>Earth, ocean, space</topic><topic>Efficiency</topic><topic>Electrical engineering. 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Hundreds of observed wet snow icing events are logged in detail in an icing database, most of which include an estimate of the mean and maximum diameter of observed icing on overhead power conductors. Observations of weather are furthermore available from a dense network of weather stations. The existing models for wet snow accretion on a standard cylinder are updated with realistic values for the terminal fall speed of wet snowflakes together with a snowflake liquid fraction–based criterion to identify wet snow. The widely used parameterization of the sticking efficiency is found to strongly underestimate the accretion rate. A calibrated parameterization of the sticking efficiency is suggested on the basis of long-term statistics of observed and modeled wet snow loads. Application of the improved method is demonstrated in a high-resolution simulation for a case of observed widespread and intensive wet snow icing in south Iceland. The results form a basis for mapping the climatology of wet snow icing in the complex terrain of Iceland as well as for preparing operational forecasts of wet snow icing and severe weather for overhead power transmission lines in complex terrain.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/jamc-d-12-0332.1</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accretion Applied sciences Atmospherics Blackouts Climate models Climatology Computer simulation Confidence intervals Cylinders Deposition Earth, ocean, space Efficiency Electrical engineering. Electrical power engineering Electrical power engineering Electricity Electricity distribution Exact sciences and technology External geophysics Humidity Ice Ice formation Icing Meteorology Modelling Overhead networks Parameterization Parametric models Parametrization Power lines Power networks and lines Precipitation Severe weather Snow Snow loads Snow. Ice. Glaciers Snowflakes Statistical methods Storms Terrain Transmission lines Weather Weather forecasting Weather stations Wind velocity |
title | Modeling Wet Snow Accretion on Power Lines: Improvements to Previous Methods Using 50 Years of Observations |
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