2 results for Dataset, VUW ResearchArchive

The End of the Rhineland Model? Changing Labour Relations in Germany  Evidence from the Minimum Wage Debate
Reiling, Pascal (2010)
Masters thesis
Victoria University of WellingtonHypothesis: Effects of globalisation, European Integration and reunification have pushed the German political economy away from its unique institutional setting, framed as Rhineland Capitalism or the Rhineland Model. Legislative decisions in the last years and current positions of politicoeconomic actors in wage setting mechanisms  a distinctive part of the Rhineland Model  seem to foster that shift and illustrate the incremental 'AngloSaxonisation' of the German political economy.
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Combined Vertical Ozone Profile Database
Bodeker, Greg; Hassler, Birgit; Young, Paul; Portmann, Robert (2011)
Dataset
Victoria University of WellingtonBodeker Scientific produces a combined monthly mean vertical ozone profile database spanning the period 1979 to 2007. The database is completely filled such that there are no missing data. A publication describing the construction of this database is currently in preparation. The raw individual ozone data are sourced from the BDBP database (see The BDBP). Monthly means are calculated from individual ozone measurements extracted from the BDBP in much the same way as in Hassler et al. (2009). These are referred to as Tier 0 data. A regression model is fitted to the Tier 0 data at each of 70 pressure/altitude levels. The regression model is of the form: Ozone(t,lat) = A(t,lat) + Offset and seasonal cycle B(t,lat) x t + Linear trend C(t,lat) x EESC(t,AoA) + Ageofair dependent equivalent effective stratospheric chlorine D(t,lat) x QBO(t) + Quasibiennial Oscillation E(t,lat) x QBOorthog(t) + Orthogonalized QBO F(t,lat) x ENSO(t) + ElNiño Southern Oscillation G(t,lat) x Solar(t) + Solar cycle H(t,lat) x Pinatubo(t) + Mt. Pinatubo volcanic eruption R(t) Residual Regression model fit coefficients are expanded in Fourier series to account for seasonality and in Legendre polynomials in latitude to account for meridional structure in the fit coefficients. Regression model output is then used to produce 4 gap free Tier 1 data sets, viz.: Tier 1.1 (Anthropogenic): This comprises the mean annual cycle plus contributions from the EESC and linear trend basis functions. Tier 1.2 (Natural): This comprises the mean annual cycle plus contributions from the QBO, solar cycle and El Niño basis functions. Tier 1.3 (Natural & volcanoes): Tier 1.2 but now also including contributions from volcano basis functions. Tier 1.4 (All): Constructed by summing the contributions from all basis functions. There are 20 files available named CCMVal2_REFB1_BSOzoneXXYYY_TierZZ_T2Mz_O3.nc where: CCMVal2 indicates that these data files have been formatted to allow easy use in the CCMVal2 project. REFB1 indicates that the time period covered is similar to that for the REFB1 simulations. XX is either 'MR' for mixing ratio or 'ND' for number density. YYY is either 'PRS' to denote that the data are on pressure levels or 'ALT' to denote that the data are on altitude levels. ZZ denotes the Tier: '0', '1_1', '1_2', '1_3' or '1_4'. T2Mz denotes that these are monthly means in two dimensions (latitude and altitude/pressure). At present Bodeker Scientific has no financial support to maintain this database and so if there is anyway that you can contribute towards the maintenance of this database, that would be much appreciated. That said, this database is made freely available to any notforprofit organisation or individual. If you are going to be using this database in a publication, please let me know. At the very least please include the following acknowledgement: We would like to thank Greg Bodeker (Bodeker Scientific) and Birgit Hassler (NOAA) for providing the combined vertical ozone profile database.
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