Assessment of Forecasts during Persistent Valley Cold Pools in the Bonneville Basin by the North American Mesoscale Model

North American Mesoscale Model (NAM) forecasts of low-level temperature and dewpoint during persistent valley cold pools in the Bonneville Basin of Utah are assessed. Stations near the east sidewall have a daytime cold and nighttime warm bias. This is due to a poor representation of the steep slopes...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Weather and forecasting 2011-08, Vol.26 (4), p.447-467
Hauptverfasser: DAWN REEVES, Heather, ELMORE, Kimberly L, MANIKIN, Geoffrey S, STENSRUD, David J
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 467
container_issue 4
container_start_page 447
container_title Weather and forecasting
container_volume 26
creator DAWN REEVES, Heather
ELMORE, Kimberly L
MANIKIN, Geoffrey S
STENSRUD, David J
description North American Mesoscale Model (NAM) forecasts of low-level temperature and dewpoint during persistent valley cold pools in the Bonneville Basin of Utah are assessed. Stations near the east sidewall have a daytime cold and nighttime warm bias. This is due to a poor representation of the steep slopes on this side of the basin. Basin stations where the terrain is better represented by the model have a distinct warm, moist bias at night. Stations in snow-covered areas have a cold bias for both day and night. Biases are not dependent on forecast lead or validation time. Several potential causes for the various errors are considered in a series of sensitivity experiments. An experiment with 4-km grid spacing, which better resolves the gradient of the slopes on the east side of the basin, yields smaller errors along the east corridor of the basin. The NAM assumes all soil water freezes at a temperature of 273 K. This is likely not representative of the freezing temperature in the salt flats in the western part of the basin, since salt reduces the freezing point of water. An experiment testing this hypothesis shows that reducing the freezing point of soil water in the salt flats leads to an average error reduction between 1.5 and 4 K, depending on the station and time of day. Using a planetary boundary layer scheme that has greater mixing alleviates the cold bias over snow somewhat, but the exact source of this bias could not be determined.
doi_str_mv 10.1175/WAF-D-10-05014.1
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_899164573</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2827711083</sourcerecordid><originalsourceid>FETCH-LOGICAL-c402t-7929a7caff6dfe90c45c591774a9af2e389db571c51505fef9bb1c40c3717b1e3</originalsourceid><addsrcrecordid>eNp1kc1vFDEMxSMEEkvhzjECIU5T4kyySY7bLQtILfTAx3GUyTh0qtmkxLNI-9-TaSsOSJws27_3ZPkx9hLEKYDR735sds15A6IRWoA6hUdsBVrWVrXqMVsJa2VjQa-fsmdEN0IIqaVbseOGCIn2mGaeI9_lgsHTTHw4lDH95FdYaKR5WX_304RHvs3TwK9ynoiPic_XyM9ySvh7rFt-5qkO--Pd_HMu8zXf7LGMwSd-iZQp-Epd5gGn5-xJ9BPhi4d6wr7t3n_dfmwuvnz4tN1cNEEJOTfGSedN8DGuh4hOBKWDdmCM8s5Hia11Q68NBA1a6IjR9T1UaWgNmB6wPWFv731vS_51QJq7_UgBp8knzAfqrHOwVtq0lXz1D3mTDyXV4zprrdBOC1Oh1_-DpJXGAAi7WIl7KpRMVDB2t2Xc-3LsQHRLXl3Nqztfuru8OqiSNw_GfvlSLD6Fkf7qpFJr2VrZ_gG96JU7</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2827711083</pqid></control><display><type>article</type><title>Assessment of Forecasts during Persistent Valley Cold Pools in the Bonneville Basin by the North American Mesoscale Model</title><source>American Meteorological Society</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>DAWN REEVES, Heather ; ELMORE, Kimberly L ; MANIKIN, Geoffrey S ; STENSRUD, David J</creator><creatorcontrib>DAWN REEVES, Heather ; ELMORE, Kimberly L ; MANIKIN, Geoffrey S ; STENSRUD, David J</creatorcontrib><description>North American Mesoscale Model (NAM) forecasts of low-level temperature and dewpoint during persistent valley cold pools in the Bonneville Basin of Utah are assessed. Stations near the east sidewall have a daytime cold and nighttime warm bias. This is due to a poor representation of the steep slopes on this side of the basin. Basin stations where the terrain is better represented by the model have a distinct warm, moist bias at night. Stations in snow-covered areas have a cold bias for both day and night. Biases are not dependent on forecast lead or validation time. Several potential causes for the various errors are considered in a series of sensitivity experiments. An experiment with 4-km grid spacing, which better resolves the gradient of the slopes on the east side of the basin, yields smaller errors along the east corridor of the basin. The NAM assumes all soil water freezes at a temperature of 273 K. This is likely not representative of the freezing temperature in the salt flats in the western part of the basin, since salt reduces the freezing point of water. An experiment testing this hypothesis shows that reducing the freezing point of soil water in the salt flats leads to an average error reduction between 1.5 and 4 K, depending on the station and time of day. Using a planetary boundary layer scheme that has greater mixing alleviates the cold bias over snow somewhat, but the exact source of this bias could not be determined.</description><identifier>ISSN: 0882-8156</identifier><identifier>EISSN: 1520-0434</identifier><identifier>DOI: 10.1175/WAF-D-10-05014.1</identifier><identifier>CODEN: WEFOE3</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>Air pollution ; Bias ; Boundary layers ; Cold ; Cold pools ; Earth, ocean, space ; Error reduction ; Errors ; Exact sciences and technology ; Experiments ; External geophysics ; Flats (landforms) ; Freezing ; Freezing point ; Freezing temperatures ; Humidity ; Low temperature ; Mathematical models ; Melting points ; Mesoscale models ; Mesoscale phenomena ; Meteorology ; Moisture content ; Night ; Planetary boundary layer ; Radiation ; Sabkhas ; Salt flats ; Slopes ; Snow ; Snow cover ; Soil moisture ; Soil temperature ; Soil water ; Temperature ; Time of use ; Valleys ; Weather ; Weather forecasting</subject><ispartof>Weather and forecasting, 2011-08, Vol.26 (4), p.447-467</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright American Meteorological Society 2011</rights><rights>Copyright American Meteorological Society Aug 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c402t-7929a7caff6dfe90c45c591774a9af2e389db571c51505fef9bb1c40c3717b1e3</citedby><cites>FETCH-LOGICAL-c402t-7929a7caff6dfe90c45c591774a9af2e389db571c51505fef9bb1c40c3717b1e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3681,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=24462382$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>DAWN REEVES, Heather</creatorcontrib><creatorcontrib>ELMORE, Kimberly L</creatorcontrib><creatorcontrib>MANIKIN, Geoffrey S</creatorcontrib><creatorcontrib>STENSRUD, David J</creatorcontrib><title>Assessment of Forecasts during Persistent Valley Cold Pools in the Bonneville Basin by the North American Mesoscale Model</title><title>Weather and forecasting</title><description>North American Mesoscale Model (NAM) forecasts of low-level temperature and dewpoint during persistent valley cold pools in the Bonneville Basin of Utah are assessed. Stations near the east sidewall have a daytime cold and nighttime warm bias. This is due to a poor representation of the steep slopes on this side of the basin. Basin stations where the terrain is better represented by the model have a distinct warm, moist bias at night. Stations in snow-covered areas have a cold bias for both day and night. Biases are not dependent on forecast lead or validation time. Several potential causes for the various errors are considered in a series of sensitivity experiments. An experiment with 4-km grid spacing, which better resolves the gradient of the slopes on the east side of the basin, yields smaller errors along the east corridor of the basin. The NAM assumes all soil water freezes at a temperature of 273 K. This is likely not representative of the freezing temperature in the salt flats in the western part of the basin, since salt reduces the freezing point of water. An experiment testing this hypothesis shows that reducing the freezing point of soil water in the salt flats leads to an average error reduction between 1.5 and 4 K, depending on the station and time of day. Using a planetary boundary layer scheme that has greater mixing alleviates the cold bias over snow somewhat, but the exact source of this bias could not be determined.</description><subject>Air pollution</subject><subject>Bias</subject><subject>Boundary layers</subject><subject>Cold</subject><subject>Cold pools</subject><subject>Earth, ocean, space</subject><subject>Error reduction</subject><subject>Errors</subject><subject>Exact sciences and technology</subject><subject>Experiments</subject><subject>External geophysics</subject><subject>Flats (landforms)</subject><subject>Freezing</subject><subject>Freezing point</subject><subject>Freezing temperatures</subject><subject>Humidity</subject><subject>Low temperature</subject><subject>Mathematical models</subject><subject>Melting points</subject><subject>Mesoscale models</subject><subject>Mesoscale phenomena</subject><subject>Meteorology</subject><subject>Moisture content</subject><subject>Night</subject><subject>Planetary boundary layer</subject><subject>Radiation</subject><subject>Sabkhas</subject><subject>Salt flats</subject><subject>Slopes</subject><subject>Snow</subject><subject>Snow cover</subject><subject>Soil moisture</subject><subject>Soil temperature</subject><subject>Soil water</subject><subject>Temperature</subject><subject>Time of use</subject><subject>Valleys</subject><subject>Weather</subject><subject>Weather forecasting</subject><issn>0882-8156</issn><issn>1520-0434</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kc1vFDEMxSMEEkvhzjECIU5T4kyySY7bLQtILfTAx3GUyTh0qtmkxLNI-9-TaSsOSJws27_3ZPkx9hLEKYDR735sds15A6IRWoA6hUdsBVrWVrXqMVsJa2VjQa-fsmdEN0IIqaVbseOGCIn2mGaeI9_lgsHTTHw4lDH95FdYaKR5WX_304RHvs3TwK9ynoiPic_XyM9ySvh7rFt-5qkO--Pd_HMu8zXf7LGMwSd-iZQp-Epd5gGn5-xJ9BPhi4d6wr7t3n_dfmwuvnz4tN1cNEEJOTfGSedN8DGuh4hOBKWDdmCM8s5Hia11Q68NBA1a6IjR9T1UaWgNmB6wPWFv731vS_51QJq7_UgBp8knzAfqrHOwVtq0lXz1D3mTDyXV4zprrdBOC1Oh1_-DpJXGAAi7WIl7KpRMVDB2t2Xc-3LsQHRLXl3Nqztfuru8OqiSNw_GfvlSLD6Fkf7qpFJr2VrZ_gG96JU7</recordid><startdate>20110801</startdate><enddate>20110801</enddate><creator>DAWN REEVES, Heather</creator><creator>ELMORE, Kimberly L</creator><creator>MANIKIN, Geoffrey S</creator><creator>STENSRUD, David J</creator><general>American Meteorological Society</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7RQ</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</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>GNUQQ</scope><scope>GUQSH</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M1Q</scope><scope>M2O</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>S0X</scope><scope>U9A</scope></search><sort><creationdate>20110801</creationdate><title>Assessment of Forecasts during Persistent Valley Cold Pools in the Bonneville Basin by the North American Mesoscale Model</title><author>DAWN REEVES, Heather ; ELMORE, Kimberly L ; MANIKIN, Geoffrey S ; STENSRUD, David J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c402t-7929a7caff6dfe90c45c591774a9af2e389db571c51505fef9bb1c40c3717b1e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Air pollution</topic><topic>Bias</topic><topic>Boundary layers</topic><topic>Cold</topic><topic>Cold pools</topic><topic>Earth, ocean, space</topic><topic>Error reduction</topic><topic>Errors</topic><topic>Exact sciences and technology</topic><topic>Experiments</topic><topic>External geophysics</topic><topic>Flats (landforms)</topic><topic>Freezing</topic><topic>Freezing point</topic><topic>Freezing temperatures</topic><topic>Humidity</topic><topic>Low temperature</topic><topic>Mathematical models</topic><topic>Melting points</topic><topic>Mesoscale models</topic><topic>Mesoscale phenomena</topic><topic>Meteorology</topic><topic>Moisture content</topic><topic>Night</topic><topic>Planetary boundary layer</topic><topic>Radiation</topic><topic>Sabkhas</topic><topic>Salt flats</topic><topic>Slopes</topic><topic>Snow</topic><topic>Snow cover</topic><topic>Soil moisture</topic><topic>Soil temperature</topic><topic>Soil water</topic><topic>Temperature</topic><topic>Time of use</topic><topic>Valleys</topic><topic>Weather</topic><topic>Weather forecasting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>DAWN REEVES, Heather</creatorcontrib><creatorcontrib>ELMORE, Kimberly L</creatorcontrib><creatorcontrib>MANIKIN, Geoffrey S</creatorcontrib><creatorcontrib>STENSRUD, David J</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Career &amp; Technical Education Database</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Military Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Weather and forecasting</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>DAWN REEVES, Heather</au><au>ELMORE, Kimberly L</au><au>MANIKIN, Geoffrey S</au><au>STENSRUD, David J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of Forecasts during Persistent Valley Cold Pools in the Bonneville Basin by the North American Mesoscale Model</atitle><jtitle>Weather and forecasting</jtitle><date>2011-08-01</date><risdate>2011</risdate><volume>26</volume><issue>4</issue><spage>447</spage><epage>467</epage><pages>447-467</pages><issn>0882-8156</issn><eissn>1520-0434</eissn><coden>WEFOE3</coden><abstract>North American Mesoscale Model (NAM) forecasts of low-level temperature and dewpoint during persistent valley cold pools in the Bonneville Basin of Utah are assessed. Stations near the east sidewall have a daytime cold and nighttime warm bias. This is due to a poor representation of the steep slopes on this side of the basin. Basin stations where the terrain is better represented by the model have a distinct warm, moist bias at night. Stations in snow-covered areas have a cold bias for both day and night. Biases are not dependent on forecast lead or validation time. Several potential causes for the various errors are considered in a series of sensitivity experiments. An experiment with 4-km grid spacing, which better resolves the gradient of the slopes on the east side of the basin, yields smaller errors along the east corridor of the basin. The NAM assumes all soil water freezes at a temperature of 273 K. This is likely not representative of the freezing temperature in the salt flats in the western part of the basin, since salt reduces the freezing point of water. An experiment testing this hypothesis shows that reducing the freezing point of soil water in the salt flats leads to an average error reduction between 1.5 and 4 K, depending on the station and time of day. Using a planetary boundary layer scheme that has greater mixing alleviates the cold bias over snow somewhat, but the exact source of this bias could not be determined.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/WAF-D-10-05014.1</doi><tpages>21</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0882-8156
ispartof Weather and forecasting, 2011-08, Vol.26 (4), p.447-467
issn 0882-8156
1520-0434
language eng
recordid cdi_proquest_miscellaneous_899164573
source American Meteorological Society; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
subjects Air pollution
Bias
Boundary layers
Cold
Cold pools
Earth, ocean, space
Error reduction
Errors
Exact sciences and technology
Experiments
External geophysics
Flats (landforms)
Freezing
Freezing point
Freezing temperatures
Humidity
Low temperature
Mathematical models
Melting points
Mesoscale models
Mesoscale phenomena
Meteorology
Moisture content
Night
Planetary boundary layer
Radiation
Sabkhas
Salt flats
Slopes
Snow
Snow cover
Soil moisture
Soil temperature
Soil water
Temperature
Time of use
Valleys
Weather
Weather forecasting
title Assessment of Forecasts during Persistent Valley Cold Pools in the Bonneville Basin by the North American Mesoscale Model
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T00%3A39%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessment%20of%20Forecasts%20during%20Persistent%20Valley%20Cold%20Pools%20in%20the%20Bonneville%20Basin%20by%20the%20North%20American%20Mesoscale%20Model&rft.jtitle=Weather%20and%20forecasting&rft.au=DAWN%20REEVES,%20Heather&rft.date=2011-08-01&rft.volume=26&rft.issue=4&rft.spage=447&rft.epage=467&rft.pages=447-467&rft.issn=0882-8156&rft.eissn=1520-0434&rft.coden=WEFOE3&rft_id=info:doi/10.1175/WAF-D-10-05014.1&rft_dat=%3Cproquest_cross%3E2827711083%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2827711083&rft_id=info:pmid/&rfr_iscdi=true