Sentences with phrase «empirical orthogonal functions»

The amplitude of the pattern defined by the leading empirical orthogonal function of winter monthly mean NH MSLP anomalies poleward of 20 ° N (Thompson and Wallace, 1998, 2000).
The difference in average MSLP between SH middle and high latitudes (usually 45 ° S and 65 ° S), from gridded or station data (Gong and Wang, 1999; Marshall, 2003), or the amplitude of the leading empirical orthogonal function of monthly mean SH 850 hPa height poleward of 20 ° S (Thompson and Wallace, 2000).
The NPI is the average MSLP anomaly in the Aleutian Low over the Gulf of Alaska (30 ° N — 65 ° N, 160 ° E — 140 ° W; Trenberth and Hurrell, 1994) and is an index of the PDO, which is also defined as the pattern and time series of the first empirical orthogonal function of SST over the North Pacific north of 20 ° N (Mantua et al., 1997; Deser et al., 2004).
Abstract Global mean sea level (GMSL) over the twentieth century has been estimated using techniques that include regional averaging of sparse tide gauge observations, combining satellite altimetry observations with tide gauge records in empirical orthogonal function (EOF) analyses, and most recently the Bayesian approaches of Kalman smoothing (KS) and Gaussian process regression (GPR).
Disagreement about how many EOFs [empirical orthogonal functions] to use to model Antarctic [temperature] changes doesn't imply that climate physics is wrong.
It turns out to be nearly equal to the average of all five data sets, and the signal associated with it (the 1st empirical orthogonal function or EOF) is, just as we expected, the warming - with - fluctuations which is common to all (I've scaled it so that it's on a «temperature» scale):
In addition to high - quality data, we need a common data structure for creating a platform for collaboration that includes observations and different kinds of products (e.g. empirical orthogonal functions), both in terms of data files on disks (e.g. netCDF and the «CF» convention) and in the computer memory.
We use a multivariable empirical orthogonal function (EOF) analysis to isolate the ENSO effects (Fig. 2) and remove them from the GMSL curve.
If the stochastic forcing is statistically zonally uniform, then the resulting patterns of variability as represented by empirical orthogonal functions are almost zonally uniform and the pressure pattern is dipolar in the meridional direction, resembling an annular mode.
Here we examine how sensitive the SAM (defined as the leading empirical orthogonal function of SH sea level pressure anomalies) is to future GHG concentrations.
Arctic Oscillation - is technically defined as the first empirical orthogonal function (EOF) of sea level pressure.
This correction was computed via a joint cyclostationary empirical orthogonal function (CSEOF) analysis of altimeter GMSL, GRACE land water storage, and Argo - based thermosteric sea level from 2005 to present.
Meridional dipoles of zonal wind and geopotential height are found extensively in empirical orthogonal function (EOF) analysis and single - point correlation maps of observations and models.
Music based on data has the potential to reveal new patterns to scientists and get data out of the arcane language of empirical orthogonal functions, p - values and Kruskal - Wallis tests and into a language that everyone can understand.
A procedure by which a spatiotemporal data set is decomposed into its leading patterns in both time (see «Principal Component») and space (see «Empirical Orthogonal Function») based on an orthogonal decomposition of the data covariance matrix.
In fact, Min et al. used leading empirical orthogonal functions (EOFs; a type of principal component analysis) in their attribution analysis for extreme precipitation, implying large spatial scales.
Quadrelli and Wallace (2004) found that many patterns of NH interannual variability can be reconstructed as linear combinations of the first two Empirical Orthogonal Functions (EOFs) of sea level pressure (approximately the NAM and the PNA).
Nobody merely matches trends and principal components of empirical orthogonal functions to a random measurement in an unknown fossil as was accused.
We compute the leading empirical orthogonal function (EOF) of detrended DJFM SLP anomalies over the domain [20 — 70 ° N and 90 ° W — 40 ° E] following Hurrell and Deser (2009).
Next, we relate the circulation and wind trends to the large - scale modes of extratropical Southern Hemisphere (SH) atmospheric circulation, using a combination of empirical orthogonal function (EOF) and regression analysis.
In principal components discussions, the weights have forbidding names like eigenvectors or empirical orthogonal functions, but, at the end of the day, these are just weights.
We examine the annular mode within each hemisphere (defined here as the leading empirical orthogonal function and principal component of hemispheric sea level pressure) as simulated by the Intergovernmental Panel on Climate Change Fourth Assessment Report ensembles of coupled ocean - atmosphere models.
The presentation covered the importance of understanding the framework within which statistical information is produced, moving windows analysis, empirical orthogonal function analysis, extreme events and detection and attribution.
The rationale behind this is that there is no reason why natural long - term variability should be orthogonal to a global warming «mode» that inevitably dominates an empirical orthogonal function decomposition of 20th century fields.
The centering convention does not influence important properties of PCA such as the orthornormality of the Empirical Orthogonal Functions (EOFS) or the completeness of the eigenvector basis set.
We first show that the structure of the empirical orthogonal functions (EOFs) of the NAO and annular modes follows, at least in part, from the structure of the baroclinic zone.
While each ensemble member of CESM - LENS is one realization of internal variability, we can assess the spread (maximum sea ice thickness — minimum sea ice thickness or 95 - 5th percentiles) and other exploratory analysis statistics (e.g., standard deviation, empirical orthogonal function (EOF) analysis) to understand the variability in the model and then compare it with PIOMAS.
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