Identification and Characterization of Persistent Cold Pool Events from Temperature and Wind Profilers in the Columbia River Basin
Cold pool events occur when deep layers of stable, cold air remain trapped in a valley or basin for multiple days, without mixing out from daytime heating. With large impacts on air quality, freezing events, and especially on wind energy production, they are often poorly forecast by modern mesoscale...
Gespeichert in:
Veröffentlicht in: | Journal of applied meteorology and climatology 2019-12, Vol.58 (12), p.2533-2551 |
---|---|
Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2551 |
---|---|
container_issue | 12 |
container_start_page | 2533 |
container_title | Journal of applied meteorology and climatology |
container_volume | 58 |
creator | McCaffrey, Katherine Wilczak, James M. Bianco, Laura Grimit, Eric Sharp, Justin Banta, Robert Friedrich, Katja Fernando, H. J. S. Krishnamurthy, Raghavendra Leo, Laura S. Muradyan, Paytsar |
description | Cold pool events occur when deep layers of stable, cold air remain trapped in a valley or basin for multiple days, without mixing out from daytime heating. With large impacts on air quality, freezing events, and especially on wind energy production, they are often poorly forecast by modern mesoscale numerical weather prediction (NWP) models. Understanding the characteristics of cold pools is, therefore, important to provide more accurate forecasts. This study analyzes cold pool characteristics with data collected during the Second Wind Forecast Improvement Project (WFIP2), which took place in the Columbia River basin and Gorge of Oregon and Washington from fall 2015 until spring 2017. A subset of the instrumentation included three microwave radiometer profilers, six radar wind profilers with radio acoustic sounding systems, and seven sodars, which together provided seven sites with collocated vertical profiles of temperature, humidity, wind speed, and wind direction. Using these collocated observations, we developed a set of criteria to determine if a cold pool was present based on stability, wind speed, direction, and temporal continuity, and then developed an automated algorithm based on these criteria to identify all cold pool events over the 18 months of the field project. Characteristics of these events are described, including statistics of the wind speed distributions and profiles, stability conditions, cold pool depths, and descent rates of the cold pool top. The goal of this study is a better understanding of these characteristics and their processes to ultimately lead to improved physical parameterizations in NWP models, and consequently improve forecasts of cold pool events in the study region as well at other locations that experiences similar events. |
doi_str_mv | 10.1175/JAMC-D-19-0046.1 |
format | Article |
fullrecord | <record><control><sourceid>jstor_osti_</sourceid><recordid>TN_cdi_osti_scitechconnect_1575825</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26868797</jstor_id><sourcerecordid>26868797</sourcerecordid><originalsourceid>FETCH-LOGICAL-c362t-bd847ef7f414e0836dca5f4a69dc909e99d7cccac47d52db080ddccb55fa3cb93</originalsourceid><addsrcrecordid>eNo9kUtr3DAUhU1JoUnafTcF0aydSJZkWcvUkycJGUpKl0K-khgNM9ZEkgfaZX95NXHI5r74zuHCqaqvBJ8TIvjF_eVjXy9qImuMWXtOPlTHhPOu7hhtjt7nhn2qTlJaF4YJwY-rf3fGjtk7Dzr7MCI9GtSvdNSQbfR_52NwaGlj8ikXFvVhY9AyhA262pc9IRfDFj3b7c5GnadoX01--1KWMTi_KVLkR5RX9qCdtoPX6Kff24h-6OTHz9VHpzfJfnnrp9Wv66vn_rZ-eLq56y8faqBtk-vBdExYJxwjzOKOtgY0d0y30oDE0kppBABoYMLwxgy4w8YADJw7TWGQ9LT6PvuGlL1K4LOFFYRxtJAV4YJ3DS_Q2QztYniZbMpqHaY4lr9UQ2WDKaOtKBSeKYghpWid2kW_1fGPIlgd4lCHONRCEakOcShSJN9myTrlEN_5pu3aTkhB_wPjfInb</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2392034367</pqid></control><display><type>article</type><title>Identification and Characterization of Persistent Cold Pool Events from Temperature and Wind Profilers in the Columbia River Basin</title><source>American Meteorological Society</source><source>JSTOR Archive Collection A-Z Listing</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>McCaffrey, Katherine ; Wilczak, James M. ; Bianco, Laura ; Grimit, Eric ; Sharp, Justin ; Banta, Robert ; Friedrich, Katja ; Fernando, H. J. S. ; Krishnamurthy, Raghavendra ; Leo, Laura S. ; Muradyan, Paytsar</creator><creatorcontrib>McCaffrey, Katherine ; Wilczak, James M. ; Bianco, Laura ; Grimit, Eric ; Sharp, Justin ; Banta, Robert ; Friedrich, Katja ; Fernando, H. J. S. ; Krishnamurthy, Raghavendra ; Leo, Laura S. ; Muradyan, Paytsar ; Argonne National Lab. (ANL), Argonne, IL (United States)</creatorcontrib><description>Cold pool events occur when deep layers of stable, cold air remain trapped in a valley or basin for multiple days, without mixing out from daytime heating. With large impacts on air quality, freezing events, and especially on wind energy production, they are often poorly forecast by modern mesoscale numerical weather prediction (NWP) models. Understanding the characteristics of cold pools is, therefore, important to provide more accurate forecasts. This study analyzes cold pool characteristics with data collected during the Second Wind Forecast Improvement Project (WFIP2), which took place in the Columbia River basin and Gorge of Oregon and Washington from fall 2015 until spring 2017. A subset of the instrumentation included three microwave radiometer profilers, six radar wind profilers with radio acoustic sounding systems, and seven sodars, which together provided seven sites with collocated vertical profiles of temperature, humidity, wind speed, and wind direction. Using these collocated observations, we developed a set of criteria to determine if a cold pool was present based on stability, wind speed, direction, and temporal continuity, and then developed an automated algorithm based on these criteria to identify all cold pool events over the 18 months of the field project. Characteristics of these events are described, including statistics of the wind speed distributions and profiles, stability conditions, cold pool depths, and descent rates of the cold pool top. The goal of this study is a better understanding of these characteristics and their processes to ultimately lead to improved physical parameterizations in NWP models, and consequently improve forecasts of cold pool events in the study region as well at other locations that experiences similar events.</description><identifier>ISSN: 1558-8424</identifier><identifier>EISSN: 1558-8432</identifier><identifier>DOI: 10.1175/JAMC-D-19-0046.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Acoustic sounding ; Air quality ; Algorithms ; Atmospheric boundary layer ; Bathhouses ; boundary layer ; Climate models ; Cold ; Cold pools ; Cold traps ; complex terrain ; Deep layer ; Economic forecasting ; ENVIRONMENTAL SCIENCES ; Forecast improvement ; Freezing ; Heating ; Instrumentation ; Microwave radiometers ; Profilers ; Profiles ; Radar ; Radar wind ; Radar wind profiler ; Radiometers ; renewable energy ; River basins ; Rivers ; Stability ; Statistical methods ; Temperature ; Vertical profiles ; Weather ; Weather forecasting ; Wind direction ; Wind power ; wind profilers ; Wind speed</subject><ispartof>Journal of applied meteorology and climatology, 2019-12, Vol.58 (12), p.2533-2551</ispartof><rights>2019 American Meteorological Society</rights><rights>Copyright American Meteorological Society Dec 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c362t-bd847ef7f414e0836dca5f4a69dc909e99d7cccac47d52db080ddccb55fa3cb93</citedby><cites>FETCH-LOGICAL-c362t-bd847ef7f414e0836dca5f4a69dc909e99d7cccac47d52db080ddccb55fa3cb93</cites><orcidid>0000000286278585</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26868797$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26868797$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,780,784,803,885,3681,27924,27925,58017,58250</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1575825$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>McCaffrey, Katherine</creatorcontrib><creatorcontrib>Wilczak, James M.</creatorcontrib><creatorcontrib>Bianco, Laura</creatorcontrib><creatorcontrib>Grimit, Eric</creatorcontrib><creatorcontrib>Sharp, Justin</creatorcontrib><creatorcontrib>Banta, Robert</creatorcontrib><creatorcontrib>Friedrich, Katja</creatorcontrib><creatorcontrib>Fernando, H. J. S.</creatorcontrib><creatorcontrib>Krishnamurthy, Raghavendra</creatorcontrib><creatorcontrib>Leo, Laura S.</creatorcontrib><creatorcontrib>Muradyan, Paytsar</creatorcontrib><creatorcontrib>Argonne National Lab. (ANL), Argonne, IL (United States)</creatorcontrib><title>Identification and Characterization of Persistent Cold Pool Events from Temperature and Wind Profilers in the Columbia River Basin</title><title>Journal of applied meteorology and climatology</title><description>Cold pool events occur when deep layers of stable, cold air remain trapped in a valley or basin for multiple days, without mixing out from daytime heating. With large impacts on air quality, freezing events, and especially on wind energy production, they are often poorly forecast by modern mesoscale numerical weather prediction (NWP) models. Understanding the characteristics of cold pools is, therefore, important to provide more accurate forecasts. This study analyzes cold pool characteristics with data collected during the Second Wind Forecast Improvement Project (WFIP2), which took place in the Columbia River basin and Gorge of Oregon and Washington from fall 2015 until spring 2017. A subset of the instrumentation included three microwave radiometer profilers, six radar wind profilers with radio acoustic sounding systems, and seven sodars, which together provided seven sites with collocated vertical profiles of temperature, humidity, wind speed, and wind direction. Using these collocated observations, we developed a set of criteria to determine if a cold pool was present based on stability, wind speed, direction, and temporal continuity, and then developed an automated algorithm based on these criteria to identify all cold pool events over the 18 months of the field project. Characteristics of these events are described, including statistics of the wind speed distributions and profiles, stability conditions, cold pool depths, and descent rates of the cold pool top. The goal of this study is a better understanding of these characteristics and their processes to ultimately lead to improved physical parameterizations in NWP models, and consequently improve forecasts of cold pool events in the study region as well at other locations that experiences similar events.</description><subject>Acoustic sounding</subject><subject>Air quality</subject><subject>Algorithms</subject><subject>Atmospheric boundary layer</subject><subject>Bathhouses</subject><subject>boundary layer</subject><subject>Climate models</subject><subject>Cold</subject><subject>Cold pools</subject><subject>Cold traps</subject><subject>complex terrain</subject><subject>Deep layer</subject><subject>Economic forecasting</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>Forecast improvement</subject><subject>Freezing</subject><subject>Heating</subject><subject>Instrumentation</subject><subject>Microwave radiometers</subject><subject>Profilers</subject><subject>Profiles</subject><subject>Radar</subject><subject>Radar wind</subject><subject>Radar wind profiler</subject><subject>Radiometers</subject><subject>renewable energy</subject><subject>River basins</subject><subject>Rivers</subject><subject>Stability</subject><subject>Statistical methods</subject><subject>Temperature</subject><subject>Vertical profiles</subject><subject>Weather</subject><subject>Weather forecasting</subject><subject>Wind direction</subject><subject>Wind power</subject><subject>wind profilers</subject><subject>Wind speed</subject><issn>1558-8424</issn><issn>1558-8432</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</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>eNo9kUtr3DAUhU1JoUnafTcF0aydSJZkWcvUkycJGUpKl0K-khgNM9ZEkgfaZX95NXHI5r74zuHCqaqvBJ8TIvjF_eVjXy9qImuMWXtOPlTHhPOu7hhtjt7nhn2qTlJaF4YJwY-rf3fGjtk7Dzr7MCI9GtSvdNSQbfR_52NwaGlj8ikXFvVhY9AyhA262pc9IRfDFj3b7c5GnadoX01--1KWMTi_KVLkR5RX9qCdtoPX6Kff24h-6OTHz9VHpzfJfnnrp9Wv66vn_rZ-eLq56y8faqBtk-vBdExYJxwjzOKOtgY0d0y30oDE0kppBABoYMLwxgy4w8YADJw7TWGQ9LT6PvuGlL1K4LOFFYRxtJAV4YJ3DS_Q2QztYniZbMpqHaY4lr9UQ2WDKaOtKBSeKYghpWid2kW_1fGPIlgd4lCHONRCEakOcShSJN9myTrlEN_5pu3aTkhB_wPjfInb</recordid><startdate>20191201</startdate><enddate>20191201</enddate><creator>McCaffrey, Katherine</creator><creator>Wilczak, James M.</creator><creator>Bianco, Laura</creator><creator>Grimit, Eric</creator><creator>Sharp, Justin</creator><creator>Banta, Robert</creator><creator>Friedrich, Katja</creator><creator>Fernando, H. J. S.</creator><creator>Krishnamurthy, Raghavendra</creator><creator>Leo, Laura S.</creator><creator>Muradyan, Paytsar</creator><general>American Meteorological Society</general><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>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>OTOTI</scope><orcidid>https://orcid.org/0000000286278585</orcidid></search><sort><creationdate>20191201</creationdate><title>Identification and Characterization of Persistent Cold Pool Events from Temperature and Wind Profilers in the Columbia River Basin</title><author>McCaffrey, Katherine ; Wilczak, James M. ; Bianco, Laura ; Grimit, Eric ; Sharp, Justin ; Banta, Robert ; Friedrich, Katja ; Fernando, H. J. S. ; Krishnamurthy, Raghavendra ; Leo, Laura S. ; Muradyan, Paytsar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-bd847ef7f414e0836dca5f4a69dc909e99d7cccac47d52db080ddccb55fa3cb93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Acoustic sounding</topic><topic>Air quality</topic><topic>Algorithms</topic><topic>Atmospheric boundary layer</topic><topic>Bathhouses</topic><topic>boundary layer</topic><topic>Climate models</topic><topic>Cold</topic><topic>Cold pools</topic><topic>Cold traps</topic><topic>complex terrain</topic><topic>Deep layer</topic><topic>Economic forecasting</topic><topic>ENVIRONMENTAL SCIENCES</topic><topic>Forecast improvement</topic><topic>Freezing</topic><topic>Heating</topic><topic>Instrumentation</topic><topic>Microwave radiometers</topic><topic>Profilers</topic><topic>Profiles</topic><topic>Radar</topic><topic>Radar wind</topic><topic>Radar wind profiler</topic><topic>Radiometers</topic><topic>renewable energy</topic><topic>River basins</topic><topic>Rivers</topic><topic>Stability</topic><topic>Statistical methods</topic><topic>Temperature</topic><topic>Vertical profiles</topic><topic>Weather</topic><topic>Weather forecasting</topic><topic>Wind direction</topic><topic>Wind power</topic><topic>wind profilers</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McCaffrey, Katherine</creatorcontrib><creatorcontrib>Wilczak, James M.</creatorcontrib><creatorcontrib>Bianco, Laura</creatorcontrib><creatorcontrib>Grimit, Eric</creatorcontrib><creatorcontrib>Sharp, Justin</creatorcontrib><creatorcontrib>Banta, Robert</creatorcontrib><creatorcontrib>Friedrich, Katja</creatorcontrib><creatorcontrib>Fernando, H. J. S.</creatorcontrib><creatorcontrib>Krishnamurthy, Raghavendra</creatorcontrib><creatorcontrib>Leo, Laura S.</creatorcontrib><creatorcontrib>Muradyan, Paytsar</creatorcontrib><creatorcontrib>Argonne National Lab. (ANL), Argonne, IL (United States)</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Technology Research 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 & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Earth, Atmospheric & 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>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Military Database</collection><collection>Research Library</collection><collection>Science Database (ProQuest)</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & 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>University of Michigan</collection><collection>SIRS Editorial</collection><collection>OSTI.GOV</collection><jtitle>Journal of applied meteorology and climatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McCaffrey, Katherine</au><au>Wilczak, James M.</au><au>Bianco, Laura</au><au>Grimit, Eric</au><au>Sharp, Justin</au><au>Banta, Robert</au><au>Friedrich, Katja</au><au>Fernando, H. J. S.</au><au>Krishnamurthy, Raghavendra</au><au>Leo, Laura S.</au><au>Muradyan, Paytsar</au><aucorp>Argonne National Lab. (ANL), Argonne, IL (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification and Characterization of Persistent Cold Pool Events from Temperature and Wind Profilers in the Columbia River Basin</atitle><jtitle>Journal of applied meteorology and climatology</jtitle><date>2019-12-01</date><risdate>2019</risdate><volume>58</volume><issue>12</issue><spage>2533</spage><epage>2551</epage><pages>2533-2551</pages><issn>1558-8424</issn><eissn>1558-8432</eissn><abstract>Cold pool events occur when deep layers of stable, cold air remain trapped in a valley or basin for multiple days, without mixing out from daytime heating. With large impacts on air quality, freezing events, and especially on wind energy production, they are often poorly forecast by modern mesoscale numerical weather prediction (NWP) models. Understanding the characteristics of cold pools is, therefore, important to provide more accurate forecasts. This study analyzes cold pool characteristics with data collected during the Second Wind Forecast Improvement Project (WFIP2), which took place in the Columbia River basin and Gorge of Oregon and Washington from fall 2015 until spring 2017. A subset of the instrumentation included three microwave radiometer profilers, six radar wind profilers with radio acoustic sounding systems, and seven sodars, which together provided seven sites with collocated vertical profiles of temperature, humidity, wind speed, and wind direction. Using these collocated observations, we developed a set of criteria to determine if a cold pool was present based on stability, wind speed, direction, and temporal continuity, and then developed an automated algorithm based on these criteria to identify all cold pool events over the 18 months of the field project. Characteristics of these events are described, including statistics of the wind speed distributions and profiles, stability conditions, cold pool depths, and descent rates of the cold pool top. The goal of this study is a better understanding of these characteristics and their processes to ultimately lead to improved physical parameterizations in NWP models, and consequently improve forecasts of cold pool events in the study region as well at other locations that experiences similar events.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/JAMC-D-19-0046.1</doi><tpages>19</tpages><orcidid>https://orcid.org/0000000286278585</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1558-8424 |
ispartof | Journal of applied meteorology and climatology, 2019-12, Vol.58 (12), p.2533-2551 |
issn | 1558-8424 1558-8432 |
language | eng |
recordid | cdi_osti_scitechconnect_1575825 |
source | American Meteorological Society; JSTOR Archive Collection A-Z Listing; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
subjects | Acoustic sounding Air quality Algorithms Atmospheric boundary layer Bathhouses boundary layer Climate models Cold Cold pools Cold traps complex terrain Deep layer Economic forecasting ENVIRONMENTAL SCIENCES Forecast improvement Freezing Heating Instrumentation Microwave radiometers Profilers Profiles Radar Radar wind Radar wind profiler Radiometers renewable energy River basins Rivers Stability Statistical methods Temperature Vertical profiles Weather Weather forecasting Wind direction Wind power wind profilers Wind speed |
title | Identification and Characterization of Persistent Cold Pool Events from Temperature and Wind Profilers in the Columbia River Basin |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T07%3A53%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_osti_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Identification%20and%20Characterization%20of%20Persistent%20Cold%20Pool%20Events%20from%20Temperature%20and%20Wind%20Profilers%20in%20the%20Columbia%20River%20Basin&rft.jtitle=Journal%20of%20applied%20meteorology%20and%20climatology&rft.au=McCaffrey,%20Katherine&rft.aucorp=Argonne%20National%20Lab.%20(ANL),%20Argonne,%20IL%20(United%20States)&rft.date=2019-12-01&rft.volume=58&rft.issue=12&rft.spage=2533&rft.epage=2551&rft.pages=2533-2551&rft.issn=1558-8424&rft.eissn=1558-8432&rft_id=info:doi/10.1175/JAMC-D-19-0046.1&rft_dat=%3Cjstor_osti_%3E26868797%3C/jstor_osti_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2392034367&rft_id=info:pmid/&rft_jstor_id=26868797&rfr_iscdi=true |