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    Northern Hemisphere Climatology and Trends of Statistical Moments Documented from GHCN-Daily Surface Air Temperature Station Data from 1950 to 2010 

    Source: Journal of Climate:;2014:;volume( 027 ):;issue: 014:;page 5396
    Author(s): Cavanaugh, Nicholas R.; Shen, Samuel S. P.
    Publisher: American Meteorological Society
    Abstract: he first four statistical moments and their trends are calculated for the average daily surface air temperature (SAT) from 1950 to 2010 using the Global Historical Climatology Network?Daily station data for each season ...
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    The Effects of Gridding Algorithms on the Statistical Moments and Their Trends of Daily Surface Air Temperature 

    Source: Journal of Climate:;2015:;volume( 028 ):;issue: 023:;page 9188
    Author(s): Cavanaugh, Nicholas R.; Shen, Samuel S. P.
    Publisher: American Meteorological Society
    Abstract: his paper explores the effects from averaging weather station data onto a grid on the first four statistical moments of daily minimum and maximum surface air temperature (SAT) anomalies over the entire globe. The Global ...
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    Coupled Impacts of the Diurnal Cycle of Sea Surface Temperature on the Madden–Julian Oscillation 

    Source: Journal of Climate:;2014:;volume( 027 ):;issue: 022:;page 8422
    Author(s): Seo, Hyodae; Subramanian, Aneesh C.; Miller, Arthur J.; Cavanaugh, Nicholas R.
    Publisher: American Meteorological Society
    Abstract: his study quantifies, from a systematic set of regional ocean?atmosphere coupled model simulations employing various coupling intervals, the effect of subdaily sea surface temperature (SST) variability on the onset and ...
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    Spherical Harmonic Spectral Estimation on Arbitrary Grids 

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 008:;page 3355
    Author(s): Cavanaugh, Nicholas R.;O’Brien, Travis A.;Collins, William D.;Skamarock, William C.
    Publisher: American Meteorological Society
    Abstract: AbstractThis study explores the use of nonuniform fast spherical Fourier transforms on meteorological data that are arbitrarily distributed on the sphere. The applicability of this methodology in the atmospheric sciences ...
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    DSpace software copyright © 2002-2015  DuraSpace
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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