The Canadian Airport Nowcasting System (CAN‐Now)
ABSTRACT The Canadian Airport Nowcasting Project (CAN‐Now) has developed an advanced prototype all‐season weather forecasting and nowcasting system that can be used at major airports. This system uses numerical model data, pilot reports, ground in situ sensor observations (precipitation, icing, ceil...
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Veröffentlicht in: | Meteorological applications 2014-01, Vol.21 (1), p.30-49 |
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creator | Isaac, George A. Bailey, Monika Boudala, Faisal S. Burrows, William R. Cober, Stewart G. Crawford, Robert W. Donaldson, Norman Gultepe, Ismail Hansen, Bjarne Heckman, Ivan Huang, Laura X. Ling, Alister Mailhot, Jocelyn Milbrandt, Jason A. Reid, Janti Fournier, Marc |
description | ABSTRACT
The Canadian Airport Nowcasting Project (CAN‐Now) has developed an advanced prototype all‐season weather forecasting and nowcasting system that can be used at major airports. This system uses numerical model data, pilot reports, ground in situ sensor observations (precipitation, icing, ceiling, visibility, winds), on‐site remote sensing (such as vertically pointing radar and microwave radiometer) and off‐site remote sensing (satellite and radar) information to provide detailed nowcasts out to approximately 6 h. The nowcasts, or short term weather forecasts, should allow decision makers such as pilots, dispatchers, de‐icing crews, ground personnel or air traffic controllers to make plans with increased margins of safety and improved efficiency. The system has been developed and tested at Toronto Pearson International Airport (CYYZ) and Vancouver International Airport (CYVR). A Situation Chart has been developed to allow users to have a high glance value product which identifies significant weather related problems at the airport. New products combining observations and numerical model output into nowcasts have been tested. Some statistical verifications of forecast products, with comparisons to persistence, covering both a winter (2009/2010) and summer (2010) period have been made. Problems with the prediction of relative humidity and wind direction are outlined. The ability to forecast categorical variables such as ceiling, visibility, as well as precipitation rate and type accurately are discussed. Overall, for most variables, the nowcast systems can outperform persistence after the first 1 or 2 h, and provide more accurate forecasts than individual Numerical Weather Prediction models out to 6 h. |
doi_str_mv | 10.1002/met.1342 |
format | Article |
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The Canadian Airport Nowcasting Project (CAN‐Now) has developed an advanced prototype all‐season weather forecasting and nowcasting system that can be used at major airports. This system uses numerical model data, pilot reports, ground in situ sensor observations (precipitation, icing, ceiling, visibility, winds), on‐site remote sensing (such as vertically pointing radar and microwave radiometer) and off‐site remote sensing (satellite and radar) information to provide detailed nowcasts out to approximately 6 h. The nowcasts, or short term weather forecasts, should allow decision makers such as pilots, dispatchers, de‐icing crews, ground personnel or air traffic controllers to make plans with increased margins of safety and improved efficiency. The system has been developed and tested at Toronto Pearson International Airport (CYYZ) and Vancouver International Airport (CYVR). A Situation Chart has been developed to allow users to have a high glance value product which identifies significant weather related problems at the airport. New products combining observations and numerical model output into nowcasts have been tested. Some statistical verifications of forecast products, with comparisons to persistence, covering both a winter (2009/2010) and summer (2010) period have been made. Problems with the prediction of relative humidity and wind direction are outlined. The ability to forecast categorical variables such as ceiling, visibility, as well as precipitation rate and type accurately are discussed. Overall, for most variables, the nowcast systems can outperform persistence after the first 1 or 2 h, and provide more accurate forecasts than individual Numerical Weather Prediction models out to 6 h.</description><identifier>ISSN: 1350-4827</identifier><identifier>EISSN: 1469-8080</identifier><identifier>DOI: 10.1002/met.1342</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>airport weather ; Airports ; aviation ; Meteorological satellites ; Meteorology ; nowcasting ; Weather forecasting</subject><ispartof>Meteorological applications, 2014-01, Vol.21 (1), p.30-49</ispartof><rights>Copyright © 2012 Crown in the right of Canada. Published by John Wiley & Sons Ltd.</rights><rights>2014 Royal Meteorological Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3602-40cd0e13d130c90dec7dde4180b9bc4e3b31f743704653ed81e8c551e7c5b7f03</citedby><cites>FETCH-LOGICAL-c3602-40cd0e13d130c90dec7dde4180b9bc4e3b31f743704653ed81e8c551e7c5b7f03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Isaac, George A.</creatorcontrib><creatorcontrib>Bailey, Monika</creatorcontrib><creatorcontrib>Boudala, Faisal S.</creatorcontrib><creatorcontrib>Burrows, William R.</creatorcontrib><creatorcontrib>Cober, Stewart G.</creatorcontrib><creatorcontrib>Crawford, Robert W.</creatorcontrib><creatorcontrib>Donaldson, Norman</creatorcontrib><creatorcontrib>Gultepe, Ismail</creatorcontrib><creatorcontrib>Hansen, Bjarne</creatorcontrib><creatorcontrib>Heckman, Ivan</creatorcontrib><creatorcontrib>Huang, Laura X.</creatorcontrib><creatorcontrib>Ling, Alister</creatorcontrib><creatorcontrib>Mailhot, Jocelyn</creatorcontrib><creatorcontrib>Milbrandt, Jason A.</creatorcontrib><creatorcontrib>Reid, Janti</creatorcontrib><creatorcontrib>Fournier, Marc</creatorcontrib><title>The Canadian Airport Nowcasting System (CAN‐Now)</title><title>Meteorological applications</title><description>ABSTRACT
The Canadian Airport Nowcasting Project (CAN‐Now) has developed an advanced prototype all‐season weather forecasting and nowcasting system that can be used at major airports. This system uses numerical model data, pilot reports, ground in situ sensor observations (precipitation, icing, ceiling, visibility, winds), on‐site remote sensing (such as vertically pointing radar and microwave radiometer) and off‐site remote sensing (satellite and radar) information to provide detailed nowcasts out to approximately 6 h. The nowcasts, or short term weather forecasts, should allow decision makers such as pilots, dispatchers, de‐icing crews, ground personnel or air traffic controllers to make plans with increased margins of safety and improved efficiency. The system has been developed and tested at Toronto Pearson International Airport (CYYZ) and Vancouver International Airport (CYVR). A Situation Chart has been developed to allow users to have a high glance value product which identifies significant weather related problems at the airport. New products combining observations and numerical model output into nowcasts have been tested. Some statistical verifications of forecast products, with comparisons to persistence, covering both a winter (2009/2010) and summer (2010) period have been made. Problems with the prediction of relative humidity and wind direction are outlined. The ability to forecast categorical variables such as ceiling, visibility, as well as precipitation rate and type accurately are discussed. Overall, for most variables, the nowcast systems can outperform persistence after the first 1 or 2 h, and provide more accurate forecasts than individual Numerical Weather Prediction models out to 6 h.</description><subject>airport weather</subject><subject>Airports</subject><subject>aviation</subject><subject>Meteorological satellites</subject><subject>Meteorology</subject><subject>nowcasting</subject><subject>Weather forecasting</subject><issn>1350-4827</issn><issn>1469-8080</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp10M1Kw0AQB_BFFKxV8BECXuohdSa7m90cS6kfUOvBel6SzURT8lF3U0pvPoLP6JOYqiAInmZgfvwZ_oydI4wRILqqqRsjF9EBG6CIk1CDhsN-5xJCoSN1zE68XwEgR8QBi5YvFEzTJs3LtAkmpVu3rgsW7damviub5-Bx5zuqg9F0svh4e-8Pl6fsqEgrT2c_c8iermfL6W04f7i5m07moeUxRKEAmwMhz5GDTSAnq_KcBGrIkswK4hnHQgmuQMSSU66RtJUSSVmZqQL4kI2-c9eufd2Q70xdektVlTbUbrxBkUSxTJQUPb34Q1ftxjX9d71SsZZKov4NtK713lFh1q6sU7czCGZfnunLM_vyehp-021Z0e5fZ-5nyy__CcMwbeQ</recordid><startdate>201401</startdate><enddate>201401</enddate><creator>Isaac, George A.</creator><creator>Bailey, Monika</creator><creator>Boudala, Faisal S.</creator><creator>Burrows, William R.</creator><creator>Cober, Stewart G.</creator><creator>Crawford, Robert W.</creator><creator>Donaldson, Norman</creator><creator>Gultepe, Ismail</creator><creator>Hansen, Bjarne</creator><creator>Heckman, Ivan</creator><creator>Huang, Laura X.</creator><creator>Ling, Alister</creator><creator>Mailhot, Jocelyn</creator><creator>Milbrandt, Jason A.</creator><creator>Reid, Janti</creator><creator>Fournier, Marc</creator><general>John Wiley & Sons, Ltd</general><general>John Wiley & Sons, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>201401</creationdate><title>The Canadian Airport Nowcasting System (CAN‐Now)</title><author>Isaac, George A. ; Bailey, Monika ; Boudala, Faisal S. ; Burrows, William R. ; Cober, Stewart G. ; Crawford, Robert W. ; Donaldson, Norman ; Gultepe, Ismail ; Hansen, Bjarne ; Heckman, Ivan ; Huang, Laura X. ; Ling, Alister ; Mailhot, Jocelyn ; Milbrandt, Jason A. ; Reid, Janti ; Fournier, Marc</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3602-40cd0e13d130c90dec7dde4180b9bc4e3b31f743704653ed81e8c551e7c5b7f03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>airport weather</topic><topic>Airports</topic><topic>aviation</topic><topic>Meteorological satellites</topic><topic>Meteorology</topic><topic>nowcasting</topic><topic>Weather forecasting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Isaac, George A.</creatorcontrib><creatorcontrib>Bailey, Monika</creatorcontrib><creatorcontrib>Boudala, Faisal S.</creatorcontrib><creatorcontrib>Burrows, William R.</creatorcontrib><creatorcontrib>Cober, Stewart G.</creatorcontrib><creatorcontrib>Crawford, Robert W.</creatorcontrib><creatorcontrib>Donaldson, Norman</creatorcontrib><creatorcontrib>Gultepe, Ismail</creatorcontrib><creatorcontrib>Hansen, Bjarne</creatorcontrib><creatorcontrib>Heckman, Ivan</creatorcontrib><creatorcontrib>Huang, Laura X.</creatorcontrib><creatorcontrib>Ling, Alister</creatorcontrib><creatorcontrib>Mailhot, Jocelyn</creatorcontrib><creatorcontrib>Milbrandt, Jason A.</creatorcontrib><creatorcontrib>Reid, Janti</creatorcontrib><creatorcontrib>Fournier, Marc</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Meteorological applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Isaac, George A.</au><au>Bailey, Monika</au><au>Boudala, Faisal S.</au><au>Burrows, William R.</au><au>Cober, Stewart G.</au><au>Crawford, Robert W.</au><au>Donaldson, Norman</au><au>Gultepe, Ismail</au><au>Hansen, Bjarne</au><au>Heckman, Ivan</au><au>Huang, Laura X.</au><au>Ling, Alister</au><au>Mailhot, Jocelyn</au><au>Milbrandt, Jason A.</au><au>Reid, Janti</au><au>Fournier, Marc</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Canadian Airport Nowcasting System (CAN‐Now)</atitle><jtitle>Meteorological applications</jtitle><date>2014-01</date><risdate>2014</risdate><volume>21</volume><issue>1</issue><spage>30</spage><epage>49</epage><pages>30-49</pages><issn>1350-4827</issn><eissn>1469-8080</eissn><abstract>ABSTRACT
The Canadian Airport Nowcasting Project (CAN‐Now) has developed an advanced prototype all‐season weather forecasting and nowcasting system that can be used at major airports. This system uses numerical model data, pilot reports, ground in situ sensor observations (precipitation, icing, ceiling, visibility, winds), on‐site remote sensing (such as vertically pointing radar and microwave radiometer) and off‐site remote sensing (satellite and radar) information to provide detailed nowcasts out to approximately 6 h. The nowcasts, or short term weather forecasts, should allow decision makers such as pilots, dispatchers, de‐icing crews, ground personnel or air traffic controllers to make plans with increased margins of safety and improved efficiency. The system has been developed and tested at Toronto Pearson International Airport (CYYZ) and Vancouver International Airport (CYVR). A Situation Chart has been developed to allow users to have a high glance value product which identifies significant weather related problems at the airport. New products combining observations and numerical model output into nowcasts have been tested. Some statistical verifications of forecast products, with comparisons to persistence, covering both a winter (2009/2010) and summer (2010) period have been made. Problems with the prediction of relative humidity and wind direction are outlined. The ability to forecast categorical variables such as ceiling, visibility, as well as precipitation rate and type accurately are discussed. Overall, for most variables, the nowcast systems can outperform persistence after the first 1 or 2 h, and provide more accurate forecasts than individual Numerical Weather Prediction models out to 6 h.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/met.1342</doi><tpages>20</tpages><oa>free_for_read</oa></addata></record> |
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subjects | airport weather Airports aviation Meteorological satellites Meteorology nowcasting Weather forecasting |
title | The Canadian Airport Nowcasting System (CAN‐Now) |
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