YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Time of Observation Temperature Bias and “Climatic Change”

    Source: Journal of Applied Meteorology:;1977:;volume( 016 ):;issue: 003::page 215
    Author:
    Schaal, Lawrence A.
    ,
    Dale, Robert F.
    DOI: 10.1175/1520-0450(1977)016<0215:TOOTBA>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Historical changes in time of once daily maximum and minimum temperature observations at cooperative climatological stations from 1905 to 1975 have introduced a systematic bias in mean temperatures. Unless corrected, this bias may be interpreted incorrectly as climatic ?cooling? and may also affect the assessment of agricultural production potential and fossil fuel needs. Maximum and minimum temperature data for two years from the National Weather Service station at Indianapolis International Airport were used to evaluate the differences between mean temperatures obtained by terminating the 24 h period at the midnight observation and the mean temperatures obtained by terminating the 24 h period at 0700 and 1900 hours, typical observation times for AM and PM observing stations. The greatest mean temperature bias occurs in March when a 1900 observation day yields a monthly mean temperature 1.3°F above a midnight observation, and a 0700 observational day gives a ?1.3°F bias. Since the number of AM observing stations in Indiana have increased from 10% of the total number of temperature stations in 1925 to 55% in 1975, the March mean temperature shows a decrease of 1.2°F in the last 40 years, solely because of the change in substation observational times. Unless the time of observation bias is considered, the mixture of AM and PM observations complicates interpretation of areal temperature anomaly patterns. This bias is accumulated in monthly, seasonal or annual values of the mean temperature-derived variables-heating degree days, cooling degree days and growing degree days?and may provide misleading information for applications in industry and agriculture.
    • Download: (561.1Kb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Time of Observation Temperature Bias and “Climatic Change”

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4232705
    Collections
    • Journal of Applied Meteorology

    Show full item record

    contributor authorSchaal, Lawrence A.
    contributor authorDale, Robert F.
    date accessioned2017-06-09T17:38:58Z
    date available2017-06-09T17:38:58Z
    date copyright1977/03/01
    date issued1977
    identifier issn0021-8952
    identifier otherams-9239.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4232705
    description abstractHistorical changes in time of once daily maximum and minimum temperature observations at cooperative climatological stations from 1905 to 1975 have introduced a systematic bias in mean temperatures. Unless corrected, this bias may be interpreted incorrectly as climatic ?cooling? and may also affect the assessment of agricultural production potential and fossil fuel needs. Maximum and minimum temperature data for two years from the National Weather Service station at Indianapolis International Airport were used to evaluate the differences between mean temperatures obtained by terminating the 24 h period at the midnight observation and the mean temperatures obtained by terminating the 24 h period at 0700 and 1900 hours, typical observation times for AM and PM observing stations. The greatest mean temperature bias occurs in March when a 1900 observation day yields a monthly mean temperature 1.3°F above a midnight observation, and a 0700 observational day gives a ?1.3°F bias. Since the number of AM observing stations in Indiana have increased from 10% of the total number of temperature stations in 1925 to 55% in 1975, the March mean temperature shows a decrease of 1.2°F in the last 40 years, solely because of the change in substation observational times. Unless the time of observation bias is considered, the mixture of AM and PM observations complicates interpretation of areal temperature anomaly patterns. This bias is accumulated in monthly, seasonal or annual values of the mean temperature-derived variables-heating degree days, cooling degree days and growing degree days?and may provide misleading information for applications in industry and agriculture.
    publisherAmerican Meteorological Society
    titleTime of Observation Temperature Bias and “Climatic Change”
    typeJournal Paper
    journal volume16
    journal issue3
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1977)016<0215:TOOTBA>2.0.CO;2
    journal fristpage215
    journal lastpage222
    treeJournal of Applied Meteorology:;1977:;volume( 016 ):;issue: 003
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian