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LiG Metrology, Correlated Error, and the Integrity of the Global Surface Air-Temperature Record
The published 95% uncertainty of the global surface air-temperature anomaly (GSATA) record through 1980 is impossibly less than the 2σ = ±0.25 °C lower limit of laboratory resolution of 1 °C/division liquid-in-glass (LiG) thermometers. The ~0.7 °C/century Joule-drift of lead- and soft-glass thermometer bulbs renders unreliable the entire historical air-temperature record through the 19th century. A circa 1900 Baudin meteorological spirit thermometer bulb exhibited intense Pb X-ray emission lines (10.55, 12.66, and 14.76 keV). Uncorrected LiG thermometer non-linearity leaves 1σ = ±0.27 °C uncertainty in land-surface air temperatures prior to 1981. The 2σ = ±0.43 °C from LiG resolution and non-linearity obscures most of the 20th century GSATA trend. Systematic sensor-measurement errors are highly pair-wise correlated, possibly across hundreds of km. Non-normal distributions of bucket and engine-intake difference SSTs disconfirm the assumption of random measurement error. Semivariogram analysis of ship SST measurements yields half the error difference mean, ±½Δε 1,2, not the error mean. Transfer-function adjustment following a change of land station air-temperature sensor eliminates measurement independence and forward-propagates the antecedent uncertainty. LiG resolution limits, non-linearity, and sensor field calibrations yield GSATA mean ±2σ RMS uncertainties of, 1900–1945, ±1.7 °C; 1946–1980, ±2.1 °C; 1981–2004, ±2.0 °C; and 2005–2010, ±1.6 °C. Finally, the 20th century (1900–1999) GSATA, 0.74 ± 1.94 °C, does not convey any information about rate or magnitude of temperature change.
Relative energy flux densities in the penumbrae of various shadowing objects of analysis of thermal test errors resulting from imperfectly collimated solar simulation beams, appendix B
Relative energy flux densities in the penumbrae of various shadowing objects - data tables
Analysis of dynamic simulation errors for coupled loop models, phase 1 Final report
Dynamic simulation errors for coupled loop models for digital differential and electronic differential analyzers
An Analysis of Some Refractive Error Trends in US Air Force Pilots and Navigators
Refractive error trends with age in US Air Force pilots and navigators
Analysis of atmospherically induced errors in an optical tracking system Quarterly report, 14 Oct. 1968 - 14 Jan. 1969
Atmospherically induced errors induced in optical tracking system
Analysis of radiosonde humidity errors based on BOMEX data
Lag correction procedure for radiosonde humidity measurement errors
Analysis of vibration induced error in turbulence velocity measurements from an aircraft wing tip boom
The effect of rolling motion of a wing on the magnitude of error induced due to the wing vibration when measuring atmospheric turbulence with a wind probe mounted on the wing tip was investigated. The wing considered had characteristics similar to that of a B-57 Cambera aircraft, and Von Karman's cross spectrum function was used to estimate the cross-correlation of atmospheric turbulence. Although the error calculated was found to be less than that calculated when only elastic bendings and vertical motions of the wing are considered, it is still relatively large in the frequency's range close to the natural frequencies of the wing. Therefore, it is concluded that accelerometers mounted on the wing tip are needed to correct for this error, or the atmospheric velocity data must be appropriately filtered.
Analysis and quantification of errors in the geometric correction of satellite images
The quantitative use of remote sensing satellite images in many applications requires that the geometric distortion inherent in these images be corrected, or rectified, to a desired map projection. The most widely used technique relies on ground control points to empirically determine a mathematical coordinate transformation to correct the geometry. In this paper, using the method of least squares, expressions for the accuracy of the geometric transformation and of the rectification of the satellite image to a map projection are derived. Explicit relations between the global accuracy of the transformation and the number, location, and local accuracy of the ground control points are obtained. The results are applied to the correction of a Landsat MSS image.
Determination of design and operation parameters for upper atmospheric research instrumentation to yield optimum resolution with deconvolution
The final report for work on the determination of design and operation parameters for upper atmospheric research instrumentation to yield optimum resolution with deconvolution is presented. Papers and theses prepared during the research report period are included. Among all the research results reported, note should be made of the specific investigation of the determination of design and operation parameters for upper atmospheric research instrumentation to yield optimum resolution with deconvolution. A methodology was developed to determine design and operation parameters for error minimization when deconvolution is included in data analysis. An error surface is plotted versus the signal-to-noise ratio (SNR) and all parameters of interest. Instrumental characteristics will determine a curve in this space. The SNR and parameter values which give the projection from the curve to the surface, corresponding to the smallest value for the error, are the optimum values. These values are constrained by the curve and so will not necessarily correspond to an absolute minimum in the error surface.
Mission Operations and Command Assurance: Flight Operations Quality Improvements
Flight mission operations systems place human operators in demanding, high risk environments. The objective of Mission Operations and Command Assurance (MO&CA) is to help improve the operational reliability of flight projects by reducing error -- Pareto Analysis shows that the human is the largest error category. MO&CA is a system level task reporting to project flight management and JPL Systems Assurance Division. MO&CA provides direct transfer of knowledge, continuous process improvement, and communication facilitation.
Effect of removing the common mode errors on linear regression analysis of noise amplitudes in position time series of a regional GPS network & a case study of GPS stations in Southern California
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A Scalable Implicit FE Solver for Resistive MHD with Integrated Adjoint Error-estimation and Sensitivity Analysis.
Abstract not provided.
ANALYSIS OF THE ORBIT ERRORS IN THE CERN ACCELERATORS USING MODEL SIMULATION
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Sampling Time Errors in Discrete Fourier Analysis
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Performance analysis of a generalized concurrent error detection procedure
A general procedure for error detection in complex systems, called the data block capture and analysis monitoring process, is described and analyzed. It is assumed that, in addition to being exposed to potential external fault sources, a complex system will in general always contain embedded hardware and software fault mechanisms which can cause the system to perform incorrect computations and/or produce incorrect output. Thus, in operation, the system continuously moves back and forth between error and no-error states. These external fault sources or internal fault mechanisms are extremely difficult to detect. The data block capture and analysis monitoring process is concerned with detecting deviations from the normal performance of the system, known as errors, which are symptomatic of fault conditions. The process consists of repeatedly recording a fixed amount of data from a set of predetermined observation lines of the system being monitored (i.e., capturing a block of data) and then analyzing the captured block in an attempt to determine whether the system is functioning correctly. The performances of linear, quadratic, and logarithmic data analysis algorithms are rigorously characterized in terms of the probability of correctly detecting an error, the expectation and variance of the number of false alarms per error, and the expectation and variance of the latency in detection of errors. Insight into the nature of the general problem of error detection is obtained.
Analysis of the relationship between errors in manufacture of slot connections and gear drive noises
On the basis of experimental research, an analysis was carried out of the effect of certain errors in manufacture of straight-barrel slots on the noise characteristics of gear drives. In carrying out the experiments, the gear crowns of the test wheels were held immovable, and only the geometric dimensions of the slots and the mutual locations of the individual elements were varied. The investigation of the effect of each factor was carried out under otherwise equal conditions, on 34:56 cog ratio gear pairs (m = 2mm), made of 40 C steel, with a gear crown accuracy of 7 X, machining fineness 7, at a speed v = 7.1 m/sec. The number of slots was 6. The clearance in slot pairs in dimension D, equal to 0.015, 0.05, 0.08 and 0.110 mm, was obtained by change in the outer diameter of the spindle by means of polishing. The results of the tests of the experimental wheels showed that their noise level increases with increase in clearance.
Notes on Regression Analysis for Radar Parameter Estimation
A fundamental task of radar, beyond merely detecting a target, is to estimate some parameters associated with it. For example, this might include range, direction, velocity, etc. In any case, multiple measurements, often noisy, need to be processed to yield a ‘best estimate’ of the parameter. A common mathematical method for doing so is called “Regression” analysis. The goal is to minimize the expected squared error in the estimate. Even when alternate algorithms are considered, the least squared-error regression analysis is the benchmark against which alternatives are compared.