Bibliographic Metadata

Title
Surface pressure tide climatologies deduced from a quality-controlled network of barometric observations
AuthorSchindelegger, Michael ; Ray, Richard D.
Published in
Monthly weather review, 2014, Vol. 142, page 4872-4889
Published2014
Edition
Published version
LanguageEnglish
Document typeJournal Article
Keywords (EN)Tides / Surface pressure / In situ atmospheric observations
URNurn:nbn:at:at-ubtuw:3-2299 Persistent Identifier (URN)
DOI10.1175/MWR-D-14-00217.1 
Restriction-Information
 The work is publicly available
Files
Surface pressure tide climatologies deduced from a quality-controlled network of barometric observations [3.34 mb]
Links
Reference
Classification
Abstract (English)

Global “ground truth” knowledge of solar diurnal S1 and semidiurnal S2 surface pressure tides as furnished by barometric in situ observations represents a valuable standard for wide-ranging geophysical and meteorological applications. This study attempts to aid validations of the air pressure tide signature in current climate or atmospheric analysis models by developing a new global assembly of nearly 6900 mean annual S1 and S2 estimates on the basis of station and marine barometric reports from the International Surface Pressure Databank, version 2 (ISPDv2), for a principal time span of 19902010. Previously published tidal compilations have been limited by inadequate spatial coverage or by internal inconsistencies and outliers from suspect tidal analyses; here, these problems are mostly overcome through 1) automated data filtering under ISPDv2s quality-control framework and 2) a meticulously conducted visual inspection of station harmonic decompositions. The quality of the resulting compilation is sufficient to support global interpolation onto a reasonably fine mesh of 1 horizontal spacing. A multiquadric interpolation algorithm, with parameters fine-tuned by frequency and for land or ocean regions, is employed. Global charts of the gridded surface pressure climatologies are presented, and these are mapped to a wavenumber versus latitude spectrum for comparison with long-term means of S1 and S2 from four present-day atmospheric analysis systems. This cross verification, shown to be feasible even for the minor stationary modes of the tides, reveals a small but probably significant overestimation of up to 18% for peak semidiurnal amplitudes as predicted by global analysis models.