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Diurnal variation of precipitable water vapor over Central and South America

Geodesy and Geodynamics 2020年第6期11卷 426-441页

作者： Amalia Meza Luciano Mendoza María Paula Natali Clara Bianchi Laura Fernández Laboratorio de Meteorología espacial Atmosfera terrestreGeodesiaGeodinamicadiseno de Instrumentaly Astrometría(MAGGIA)Facultad de Ciencias Astronomicasy Geofísicas(FCAG)Universidad Nacional de La Plata(UNLP)Paseo del Bosque s/nB1900FWALa Plata(UNLP)Paseo del Bosque s/nB1900FWALa PlataArgentina Consejo Nacional de Investigacion Científicay Tecnica Godoy Cruz 2290C1425FQBBuenos AiresArgentina

Annual and seasonal diurnal precipitable water vapor(PWV)variations over Central and South America are analyzed for the period *** values were obtained from Global Navigation Satellite Systems(GNSS)observations of sixty-nine GNSS tracking *** by climate categories show that PWV values for temperate,polar and cold dry climate have a positive skewed distribution and for tropical climates(except for monsoon subtype)show a negative skewed *** diurnal PWV and surface temperatures(T)anomaly datasets are analyzed by using principal components analysis(PCA).The first two modes represent more than 90%of the PWV *** first PCA mode of PWV variability shows a maximum amplitude value in the late afternoon few hours later than the respective values for surface temperature(T),therefore the temperature and the surface conditions(to yield evaporation)could be the main agents producing this variability;PWV variability in inland stations are mainly represented by this *** second mode of PWV variability shows a maximum amplitude at midnight,a possible explanation of this behavior is the effect of the sea/valley *** coastal and valley stations are affected by this mode in most ***,the"undefined"stations,surrounded by several water bodies,are mainly affected by the second mode with negative *** the seasonal analysis,both the undefined and valley stations constitute the main cases that show a sea or valley breeze only during some seasons,while the rest of the year they present a behavior according to their temperature and the surface *** a result,the PCA proves to be a useful numerical tool to represent the main sub-daily PWV variabilities.

关键词： Precipitable water vapor(PWV) Global navigation satellite systems(GNSS) koppen and geiger climate type classification(K-G) Surface temperature Principal component analysis(PCA)

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