The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
William Perrie - One of the best experts on this subject based on the ideXlab platform.
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a two scale approximation for efficient representation of nonlinear energy transfers in a wind wave spectrum part i Theoretical Development
Journal of Physical Oceanography, 2008Co-Authors: Donald T Resio, William PerrieAbstract:Abstract A new method for estimating the transfer rates in wind wave spectra is derived and tested, based on a two-scale approximation (TSA) to the total integral for quadruplet wave–wave interactions. Comparisons of this new estimation method to the full integral are given for several idealized spectra, including Joint North Sea Wave Project spectra with different peakednesses, a finite depth case, and cases with perturbations added to underlying parametric spectra. In particular, these comparisons show that the TSA is a significant improvement over the discrete interaction approximation (DIA) in deep water and an even greater improvement in shallow water.
Donald T Resio - One of the best experts on this subject based on the ideXlab platform.
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a two scale approximation for efficient representation of nonlinear energy transfers in a wind wave spectrum part i Theoretical Development
Journal of Physical Oceanography, 2008Co-Authors: Donald T Resio, William PerrieAbstract:Abstract A new method for estimating the transfer rates in wind wave spectra is derived and tested, based on a two-scale approximation (TSA) to the total integral for quadruplet wave–wave interactions. Comparisons of this new estimation method to the full integral are given for several idealized spectra, including Joint North Sea Wave Project spectra with different peakednesses, a finite depth case, and cases with perturbations added to underlying parametric spectra. In particular, these comparisons show that the TSA is a significant improvement over the discrete interaction approximation (DIA) in deep water and an even greater improvement in shallow water.
Gary C Mcmahan - One of the best experts on this subject based on the ideXlab platform.
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Theoretical perspectives for strategic human resource management
Journal of Management, 1992Co-Authors: Patrick M Wright, Gary C McmahanAbstract:Critics have argued that the field of human resource management (HRM) lacks a coherent Theoreticalframework. This article attempts to further the Theoretical Development of SHRM through discussing six Theoretical models (behavioral perspective, cybernetic models, agencyltransaction cost theory, resource-based view of the firm, power/resource dependence models, and institutional theory) that are usefulfor understanding both strategic and non-strategic determinants of HR practices. Finally, the implications of a stronger Theoretical approach to SHRM research and practice are discussed.
Von P Walden - One of the best experts on this subject based on the ideXlab platform.
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responsivity based criterion for accurate calibration of ftir emission spectra Theoretical Development and bandwidth estimation
Optics Express, 2011Co-Authors: Penny M Rowe, Steven Neshyba, Von P WaldenAbstract:An analytical expression for the variance of the radiance measured by Fourier-transform infrared (FTIR) emission spectrometers exists only in the limit of low noise. Outside this limit, the variance needs to be calculated numerically. In addition, a criterion for low noise is needed to identify properly calibrated radiances and optimize the instrument bandwidth. In this work, the variance and the magnitude of a noise-dependent spectral bias are calculated as a function of the system responsivity (r) and the noise level in its estimate (σr). The criterion σr /r <0.3, applied to downwelling and upwelling FTIR emission spectra, shows that the instrument bandwidth is specified properly for one instrument but needs to be restricted for another.
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a responsitivity based criterion for accurate calibration of ftir spectra Theoretical Development and bandwidth estimation
Optics Express, 2011Co-Authors: Steven Neshyba, Penny M Rowe, Von P WaldenAbstract:An analytical expression for the variance of the radiance measured by Fourier-transform infrared (FTIR) emission spectrometers exists only in the limit of low noise. Outside this limit, the variance needs to be calculated numerically. In addition, a criterion for low noise is needed to identify properly calibrated radiances and optimize the instrument bandwidth. In this work, the variance and the magnitude of a noisedependent spectral bias are calculated as a function of the system responsivity (r) and the noise level in its estimate (σr). The criterion σr /r <0.3, applied to downwelling and upwelling FTIR emission spectra, shows that the instrument bandwidth is specified properly for one instrument but needs to be restricted for another. ©2011 Optical Society of America OCIS codes: (120.0280) Remote sensing and sensors; (120.3180) Interferometry; (120.5630) Radiometry; (120.6200) Spectrometers and spectroscopic instrumentation; (280.4991) Passive remote sensing. References and links 1. H. E. Revercomb, H. Buijs, H. B. Howell, D. D. Laporte, W. L. Smith, and L. A. Sromovsky, “Radiometric calibration of IR Fourier transform spectrometers: solution to a problem with the High-Resolution Interferometer Sounder,” Appl. Opt. 27(15), 3210–3218 (1988). 2. L. A. Sromovsky, “Radiometric errors in complex Fourier transform spectrometry,” Appl. Opt. 42(10), 1779– 1787 (2003). 3. R. O. Knuteson, H. E. Revercomb, F. A. Best, N. C. Ciganovich, R. G. Dedecker, T. P. Dirkx, S. C. Ellington, W. F. Feltz, R. K. Garcia, H. B. Howell, W. L. Smith, J. F. Short, and D. C. Tobin, “Atmospheric Emitted Radiance Interferometer (AERI) Part I: instrument design,” J. Atmos. Ocean. Technol. 21(12), 1763–1776 (2004). 4. R. O. Knuteson, H. E. Revercomb, F. A. Best, N. C. Ciganovich, R. G. Dedecker, T. P. Dirkx, S. C. Ellington, W. F. Feltz, R. K. Garcia, H. B. Howell, W. L. Smith, J. F. Short, and D. C. Tobin, “Atmospheric Emitted Radiance Interferometer (AERI) Part II: instrument performance,” J. Atmos. Ocean. Technol. 21(12), 1777–1789 (2004). 5. D. L. Cohen, “Noise-equivalent change in radiance for sampling noise in a double-sided interferogram,” Appl. Opt. 42(13), 2289–2300 (2003). 6. P. M. Rowe, Department of Geography, University of Idaho, 875 Perimeter Drive, Moscow, Idaho 83844, S. P. Neshyba, C. J. Cox, and V. P. Walden are preparing a manuscript to be called, “A responsivity-based criterion for accurate calibration of FTIR emission spectra: identification of in-band low-responsivity wavenumbers.” 7. G. Lesins, L. Bourdages, T. Duck, J. Drummond, E. Eloranta, and V. Walden, “Large surface radiative forcing from topographic blowing snow residuals measured in the High Arctic at Eureka,” Atmos. Chem. Phys. 9(6), 1847–1862 (2009). 8. A. Shimota, H. Kobayashi, and S. Kadokura, “Radiometric calibration for the airborne interferometric monitor for greenhouse gases simulator,” Appl. Opt. 38(3), 571–576 (1999). 9. V. P. Walden, R. L. Tanamachi, P. M. Rowe, H. E. Revercomb, D. C. Tobin, and S. A. Ackerman, “Improvements in the data quality of the Interferometric Monitor for greenhouse Gases,” Appl. Opt. 49(3), 520– 528 (2010). 10. P. Rowe, L. Miloshevich, D. Turner, and V. Walden, “Dry bias in Vaisala RS90 radiosonde humidity profiles over Antarctica,” J. Atmos. Ocean. Technol. 25(9), 1529–1541 (2008). 11. P. Antonelli, H. E. Revercomb, L. A. Sromovsky, W. L. Smith, R. O. Knuteson, D. C. Tobin, R. K. Garcia, H. B. Howell, H. L. Huang, and F. A. Best, “A principal component noise filter for high spectral resolution infrared measurements,” J. Geophys. Res. 109(D23), D23102 (2004). #137173 $15.00 USD Received 17 Nov 2010; revised 15 Feb 2011; accepted 18 Feb 2011; published 8 Mar 2011 (C) 2011 OSA 14 March 2011 / Vol. 19, No. 6 / OPTICS EXPRESS 5451 12. D. D. Turner, R. O. Knuteson, H. E. Revercomb, C. Lo, and R. G. Dedecker, “Noise reduction of Atmospheric Emitted Radiance Interferometer (AERI) observations using principal component analysis,” J. Atmos. Ocean. Technol. 23(9), 1223–1238 (2006). 13. M. Jackson, Mathematics Department, University of Puget Sound, 1500 N. Warner, Tacoma, WA 98416 (personal communication, 2010).
Arnon Avitzur - One of the best experts on this subject based on the ideXlab platform.
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participatory and anticipatory stages of mathematical concept learning further empirical and Theoretical Development
Journal for Research in Mathematics Education, 2016Co-Authors: Martin A Simon, Nicora Placa, Arnon AvitzurAbstract:Tzur and Simon (2004) postulated 2 stages of Development in learning a mathematical concept: participatory and anticipatory. In this article, we discuss the affordances for research of this stage distinction related to data analysis, task design, and assessment as demonstrated in a 2-year teaching experiment. We describe our modifications to and further explicate and exemplify the Theoretical underpinnings of these stage constructs. We introduce a representation scheme and use it to trace the Development of a concept from initial activity, through the participatory stage, and to the anticipatory stage.
