Sentences with phrase «systematic errors in the data»

The other aspect discussed in the paper is the importance of dealing with systematic errors in the data sets.

Not exact matches

Until now, studies that challenged the existence of Planet Nine using the data available for these trans - Neptunian objects argued that there had been systematic errors linked to the orientations of the orbits (defined by three angles), due to the way in which the observations had been made.
Unless large systematic errors can be identified for all data sets, one must conclude that no warming is occurring in the troposphere at tropical latitudes.
The errors in the radiosonde data are systematic, not random.
Since many meteorological stations are located in or near large cities, these «urban heat islands» might introduce a spurious trend into temperature records.3 This is the most serious possible source of systematic error to have been identified in land - based data.
The dramatic increase in use of Airports (that are known to be warming) as percent of data introduces another systematic error term.
As Fred wrote, even large systematic errors do not matter for the temporal change, if the error remains the same in all data.
«What is needed is that there are no major but unknown systematic changes in, how the data is collected... Independent errors cancel out well and their size can be estimated from the data, while systematic errors may remain a significant problem, whose size is difficult to estimate».
When an anomaly calculated using normal means and data that are contaminated with systematic error, the error in the anomaly is (+ / --RRB- sqrt -LSB-(error in normal) ^ 2 + (error in the measurement) ^ 2].
Further than that, though, it was straightforward to take McCrae's data for Cape Cod and Florida in his Table X, replot it, and determine the methodological point scatter due to systematic error.
Laboratory precipitation of aragonite: the residuals from the linear fit to plotted T: dO18 data digitized from Figure 2 yielded a systematic 1 - sigma error = in temperature (+ / --RRB- 1.1 C.
Laboratory precipitation of calcite: the residuals from the linear fit to plotted T: dO18 data from Table 1 yielded a systematic 1 - sigma error in temperature = (+ / --RRB- 2.2 C.
Incidentally it is evident from this that Newton «fudged» his reported observations to fit his theory of deriving the law of universal gravitation from Kepler's data reduction, but Newton couldn't have known that the indeterminate errors of observation propagated in a systematic was
For the radiosonde data to be rejected you would need to show that there is a systematic error in the temperatures measured near the tropopause in the direction of a cold bias in that region but no other.
General Introduction Two Main Goals Identifying Patterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time Series
Hamill T. M. (July 2017): Changes in the Systematic Errors of Global Reforecasts due to an Evolving Data Assimilation System.
Worst of all, temperature change still appears to reported as if all the uncertainty arises from scatter in the raw data and none from systematic errors that could arise from processing the data.
If systematic errors in their model global climate can be shown, that would indicate a problem, but none have been specifically mentioned by David Young or others, so it makes it hard to answer except in general terms, like validation with plenty of global data has been done on GCMs.
If not, then in terms of systematic error, a per day uncertainty in a physical quantity (0.2 C per reading) of a physically unique data point can not be reduced to a physical uncertainty of 0.03 C merely by taking a mean of the points.
[Response: The difference is in the corrections to the XBT data, which is obviously part of the systematic error.
Gavin said, «The difference is in the corrections to the XBT data, which is obviosly part of the systematic error.
Unfortunately, one always has to have a measure of the «true» value — the true air temperature in this case — in order to evaluate the systematic error hidden in the station sensor temperature data.
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