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    Estimation and Extrapolation of Climate Normals and Climatic Trends

    Source: Journal of Applied Meteorology and Climatology:;2007:;volume( 046 ):;issue: 011::page 1759
    Author:
    Livezey, Robert E.
    ,
    Vinnikov, Konstantin Y.
    ,
    Timofeyeva, Marina M.
    ,
    Tinker, Richard
    ,
    van den Dool, Huug M.
    DOI: 10.1175/2007JAMC1666.1
    Publisher: American Meteorological Society
    Abstract: WMO-recommended 30-yr normals are no longer generally useful for the design, planning, and decision-making purposes for which they were intended. They not only have little relevance to the future climate, but are often unrepresentative of the current climate. The reason for this is rapid global climate change over the last 30 yr that is likely to continue into the future. It is demonstrated that simple empirical alternatives already are available that not only produce reasonably accurate normals for the current climate but also often justify their extrapolation to several years into the future. This result is tied to the condition that recent trends in the climate are approximately linear or have a substantial linear component. This condition is generally satisfied for the U.S. climate-division data. One alternative [the optimal climate normal (OCN)] is multiyear averages that are not fixed at 30 yr like WMO normals are but rather are adapted climate record by climate record based on easily estimated characteristics of the records. The OCN works well except with very strong trends or longer extrapolations with more moderate trends. In these cases least squares linear trend fits to the period since the mid-1970s are viable alternatives. An even better alternative is the use of ?hinge fit? normals, based on modeling the time dependence of large-scale climate change. Here, longer records can be exploited to stabilize estimates of modern trends. Related issues are the need to avoid arbitrary trend fitting and to account for trends in studies of ENSO impacts. Given these results, the authors recommend that (a) the WMO and national climate services address new policies for changing climate normals using the results here as a starting point and (b) NOAA initiate a program for improved estimates and forecasts of official U.S. normals, including operational implementation of a simple hybrid system that combines the advantages of both the OCN and the hinge fit.
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      Estimation and Extrapolation of Climate Normals and Climatic Trends

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    contributor authorLivezey, Robert E.
    contributor authorVinnikov, Konstantin Y.
    contributor authorTimofeyeva, Marina M.
    contributor authorTinker, Richard
    contributor authorvan den Dool, Huug M.
    date accessioned2017-06-09T16:18:15Z
    date available2017-06-09T16:18:15Z
    date copyright2007/11/01
    date issued2007
    identifier issn1558-8424
    identifier otherams-65370.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4206587
    description abstractWMO-recommended 30-yr normals are no longer generally useful for the design, planning, and decision-making purposes for which they were intended. They not only have little relevance to the future climate, but are often unrepresentative of the current climate. The reason for this is rapid global climate change over the last 30 yr that is likely to continue into the future. It is demonstrated that simple empirical alternatives already are available that not only produce reasonably accurate normals for the current climate but also often justify their extrapolation to several years into the future. This result is tied to the condition that recent trends in the climate are approximately linear or have a substantial linear component. This condition is generally satisfied for the U.S. climate-division data. One alternative [the optimal climate normal (OCN)] is multiyear averages that are not fixed at 30 yr like WMO normals are but rather are adapted climate record by climate record based on easily estimated characteristics of the records. The OCN works well except with very strong trends or longer extrapolations with more moderate trends. In these cases least squares linear trend fits to the period since the mid-1970s are viable alternatives. An even better alternative is the use of ?hinge fit? normals, based on modeling the time dependence of large-scale climate change. Here, longer records can be exploited to stabilize estimates of modern trends. Related issues are the need to avoid arbitrary trend fitting and to account for trends in studies of ENSO impacts. Given these results, the authors recommend that (a) the WMO and national climate services address new policies for changing climate normals using the results here as a starting point and (b) NOAA initiate a program for improved estimates and forecasts of official U.S. normals, including operational implementation of a simple hybrid system that combines the advantages of both the OCN and the hinge fit.
    publisherAmerican Meteorological Society
    titleEstimation and Extrapolation of Climate Normals and Climatic Trends
    typeJournal Paper
    journal volume46
    journal issue11
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/2007JAMC1666.1
    journal fristpage1759
    journal lastpage1776
    treeJournal of Applied Meteorology and Climatology:;2007:;volume( 046 ):;issue: 011
    contenttypeFulltext
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