Sentences with phrase «kriging method»

The Monaghan et al. study used the correlation structure in the ERA - 40 reanalysis (Uppala et al. 2005) to define the weights on the observational records that are applied at each gridbox on 1 ° × 1 ° degree regular grid with a kriging method.

Monaghan et al. (2008) used a kriging method to produce a 1 ° × 1 ° reconstruction for 1960 — 2005.

The data were interpolated using a kriging method (Schäfer - Neth et al. 2005), which basically takes into account data points in the vicinity of a location to be reconstructed, weighted by the ocean correlation structure.

He wishes to continue comparing our results to other methods and data sets (such as NECP, ERA - 40, Monaghan's kriging method, and boreholes).

Not exact matches

Methods used include those that interpolate according to local correlation structure (kriging) and reduced space methods that learn large - scale temperature pattMethods used include those that interpolate according to local correlation structure (kriging) and reduced space methods that learn large - scale temperature pattmethods that learn large - scale temperature patterns...

Cowtan and Way circumvent both problems by using an established geostatistical interpolation method called kriging — but they do not apply it to the temperature data itself (which would be similar to what GISS does), but to the difference between satellite and ground data.

In statistics, originally in geostatistics, Kriging or Gaussian process regression is a method of interpolation for which the interpolated values are modeled by a Gaussian process governed by prior covariances, as opposed to a piecewise - polynomial spline chosen to optimize smoothness of the fitted values

Finally, Cressie, as do Ed and Mo, points out that there might be better nonlinear or biased methods, e.g., indicator kriging to generate a temperature pdf.

They applied a new method that fills in missing temperatures over sea ice by combining satellite data for missing areas with a method known as «kriging,» which calculates missing data by checking nearby temperature station readings.

The Berkeley method relies on kriging, which is mathematically known to be an optimal solution for the problem at hand.

Another benefit of the kriging approach is that the total measurement error at the station level is estimated via a top down fashion, in sharp contrast to CRU method and the GISS approach.

Cawley, 4.27 (± 1.15), Statistical (Same as June) This is a purely statistical method (Gaussian Process, related to Kriging) to estimate the long - term trend from previous observations of September Arctic sea ice extent.

However the model structure, assumptions, and data assimilation methods, whatever their uncertainties and differences, are better than extrapolation or kriging over long distances or across land / sea / ice boundaries.

The example of kriging given was wrong — spatial methods apply to anomalies perfectly well.

Cowtan & Way (2013) evaluated global surface warming across the globe using a statistical method known as «kriging» and using satellite data to fill in the gaps where there are no temperature stations.

I might add that the adjusting, infilling, correcting, kriging etc described by Zeke are superimposed on the basic problem described by Ms. Gray in her comment to Watts: We have no intrinsic method of separating signal and noise, even given pristine temperature records, and the existing records are anything BUT pristine.

The estimates of warming since that time using some of the data, or all of the data, using multiple methods (CAM, RSM, Kriging, Least Squares, IDW) all fall within narrow bounds.

First a few items... ---------- Carrick July 12, 2014 at 2:18 pm Part 3: I believe that part of the problem [with BEST] is method of interpolation used (kriging) and in particular the assumption that the correlation field relating spatially separated stations is azimuthally invariant.