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    Trend Detection in Regional-Mean Temperature Series: Maximum, Minimum, Mean, Diurnal Range, and SST

    Source: Journal of Climate:;1997:;volume( 010 ):;issue: 002::page 317
    Author:
    Zheng, Xiaogu
    ,
    Basher, Reid E.
    ,
    Thompson, Craig S.
    DOI: 10.1175/1520-0442(1997)010<0317:TDIRMT>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Regional climate trends are of interest both for understanding natural climate processes and as tests of anthropogenic climate change signatures. Relative to global trends, however, their detection is hampered by smaller datasets and the influence of regional climate processes such as the Southern Oscillation. Regional trends are often presented by authors without demonstration of statistical significance. In this paper, regional-average annual series of air temperature and sea surface temperature for the New Zealand region are analyzed using a systematic statistical approach that selects the optimum statistical model (with respect to serial correlation, linearity, etc.), explicitly models the interannual variability associated with observable regional climate processes, and tests significance. It is found that the residuals are stationary and are a red noise process [ARMA(1,0)] for all the series examined. The SOI and a meridional circulation anomaly index (both high-pass filtered) are ?explanatory variables? for interannual variability. For national-average air temperature (AT), linear and exponential trend models are equally valid but for simplicity the linear model is preferred. Failure to model the serial correlation in AT would result in an estimated confidence interval for trend that is too small by 36%. The use of the explanatory variables tightens the confidence interval by 15%. Significant trends were detected. The trend in AT for 1896?1994 is 0.11 ± 0.035°C decade?1 (95% confidence interval). This is about double the trend reported for global data, which may be due to the relative absence of sulfate aerosols in the South Pacific region. The trends in maximum and minimum temperature over this period are not statistically different. However, for the later period of 1951?90, the trend in maximum temperature reduces to an insignificant value, while the trend in minimum temperature remains high, resulting in a significant downward trend in diurnal range of 0.10°C decade?1. Similar diurnal range behavior in other regions has been tentatively attributed to increasing cloudiness. The trend in a regional SST series for 1928?94, 0.07°C decade?1, is about half the trend in AT for the same period. The trend in the difference, SST?AT, ?0.06°C decade?1, is statistically significant. This implies the existence of an atmospheric warming source for the additional air temperature trend, and may mean that the heat fluxes between the atmosphere and ocean in the New Zealand region are subject to a large trend, with the direction of flux change being toward the ocean. The results of the study are consistent with the IPCC predictions of climate change.
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      Trend Detection in Regional-Mean Temperature Series: Maximum, Minimum, Mean, Diurnal Range, and SST

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4186423
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    contributor authorZheng, Xiaogu
    contributor authorBasher, Reid E.
    contributor authorThompson, Craig S.
    date accessioned2017-06-09T15:33:54Z
    date available2017-06-09T15:33:54Z
    date copyright1997/02/01
    date issued1997
    identifier issn0894-8755
    identifier otherams-4722.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4186423
    description abstractRegional climate trends are of interest both for understanding natural climate processes and as tests of anthropogenic climate change signatures. Relative to global trends, however, their detection is hampered by smaller datasets and the influence of regional climate processes such as the Southern Oscillation. Regional trends are often presented by authors without demonstration of statistical significance. In this paper, regional-average annual series of air temperature and sea surface temperature for the New Zealand region are analyzed using a systematic statistical approach that selects the optimum statistical model (with respect to serial correlation, linearity, etc.), explicitly models the interannual variability associated with observable regional climate processes, and tests significance. It is found that the residuals are stationary and are a red noise process [ARMA(1,0)] for all the series examined. The SOI and a meridional circulation anomaly index (both high-pass filtered) are ?explanatory variables? for interannual variability. For national-average air temperature (AT), linear and exponential trend models are equally valid but for simplicity the linear model is preferred. Failure to model the serial correlation in AT would result in an estimated confidence interval for trend that is too small by 36%. The use of the explanatory variables tightens the confidence interval by 15%. Significant trends were detected. The trend in AT for 1896?1994 is 0.11 ± 0.035°C decade?1 (95% confidence interval). This is about double the trend reported for global data, which may be due to the relative absence of sulfate aerosols in the South Pacific region. The trends in maximum and minimum temperature over this period are not statistically different. However, for the later period of 1951?90, the trend in maximum temperature reduces to an insignificant value, while the trend in minimum temperature remains high, resulting in a significant downward trend in diurnal range of 0.10°C decade?1. Similar diurnal range behavior in other regions has been tentatively attributed to increasing cloudiness. The trend in a regional SST series for 1928?94, 0.07°C decade?1, is about half the trend in AT for the same period. The trend in the difference, SST?AT, ?0.06°C decade?1, is statistically significant. This implies the existence of an atmospheric warming source for the additional air temperature trend, and may mean that the heat fluxes between the atmosphere and ocean in the New Zealand region are subject to a large trend, with the direction of flux change being toward the ocean. The results of the study are consistent with the IPCC predictions of climate change.
    publisherAmerican Meteorological Society
    titleTrend Detection in Regional-Mean Temperature Series: Maximum, Minimum, Mean, Diurnal Range, and SST
    typeJournal Paper
    journal volume10
    journal issue2
    journal titleJournal of Climate
    identifier doi10.1175/1520-0442(1997)010<0317:TDIRMT>2.0.CO;2
    journal fristpage317
    journal lastpage326
    treeJournal of Climate:;1997:;volume( 010 ):;issue: 002
    contenttypeFulltext
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