The reliability of the Australian (June 1972–April 1985) and NOTOS (1957–62) gridded monthly-mean, mean sea level pressure datasets over Antarctica is examined by comparison with station data from 29 sites over the continent. After rejecting about 30% of the months in both sets of gridded data, the remaining “good” months are used in a principal component motion technique to reconstruct gridded data from the station data for 1957 to 1985. The regression technique uses the “good” Australian data for calibration and verifies the statistical relationships developed between station and grid point pressure data with the “good” NOTOS data. The reconstructions are shown to be reliable over all of Antarctica between 60° and 75°S except in the area ...
This study focusses on the wharf mounted tidal gauge at Casey station in the Australian Antarctic Te...
A comparison of 40-yr (1960-99) trends in Antarctic geopotential height and temperature from quality...
The Southern Annular Mode (SAM) is the predominant atmospheric variability mode in the Southern Hemi...
Seasonal mean Antarctic pressures at 17 stations are reconstructed based on the method of principal ...
.zip files of the spatial pressure reconstructions. These cover the domain of 60-90S, seasonally. ...
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. The relationship between Southern Hemisphe...
The Antarctic seasonal station-based pressure reconstructions evaluated in our companion paper are e...
©2018. American Geophysical Union. All Rights Reserved. Enabled by advances in data assimilation and...
While gridded seasonal pressure reconstructions poleward of 60°S extending back to 1905 have been re...
As most permanent observations in Antarctica started in the 1950s, understanding Antarctic climate v...
Fifty years of monthly mean sea level pressure (MSLP) data from the NCEP/NCAR reanalysis (hereinafte...
A tree-ring chronology network recently developed from the subantarctic forests provides an opportun...
The Reference Antarctic Data for Environmental Research (READER) project data set of monthly mean An...
A reconstruction of Antarctic monthly mean near-surface temperatures spanning 1958–2012 is presented...
The availability of accurate meteorological data is important for the modeling of atmospheric flows,...
This study focusses on the wharf mounted tidal gauge at Casey station in the Australian Antarctic Te...
A comparison of 40-yr (1960-99) trends in Antarctic geopotential height and temperature from quality...
The Southern Annular Mode (SAM) is the predominant atmospheric variability mode in the Southern Hemi...
Seasonal mean Antarctic pressures at 17 stations are reconstructed based on the method of principal ...
.zip files of the spatial pressure reconstructions. These cover the domain of 60-90S, seasonally. ...
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. The relationship between Southern Hemisphe...
The Antarctic seasonal station-based pressure reconstructions evaluated in our companion paper are e...
©2018. American Geophysical Union. All Rights Reserved. Enabled by advances in data assimilation and...
While gridded seasonal pressure reconstructions poleward of 60°S extending back to 1905 have been re...
As most permanent observations in Antarctica started in the 1950s, understanding Antarctic climate v...
Fifty years of monthly mean sea level pressure (MSLP) data from the NCEP/NCAR reanalysis (hereinafte...
A tree-ring chronology network recently developed from the subantarctic forests provides an opportun...
The Reference Antarctic Data for Environmental Research (READER) project data set of monthly mean An...
A reconstruction of Antarctic monthly mean near-surface temperatures spanning 1958–2012 is presented...
The availability of accurate meteorological data is important for the modeling of atmospheric flows,...
This study focusses on the wharf mounted tidal gauge at Casey station in the Australian Antarctic Te...
A comparison of 40-yr (1960-99) trends in Antarctic geopotential height and temperature from quality...
The Southern Annular Mode (SAM) is the predominant atmospheric variability mode in the Southern Hemi...