Books on the topic 'Winds Antarctica Mathematical models'

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1

Klein, Thomas. Katabatic winds over Greenland and Antarctica and their interaction with mesoscale and synoptic scale weather systems: Investigations using three dimensional numerical models. St. Augustin: Asgard, 2000.

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2

Melgarejo, José W. An analytical model of the boundary layer above sloping terrain with an application to observations in Antarctica. Norrköpping: SMHI, 1986.

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3

Wuertz, David B. Editing wind profiler measurements. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1989.

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4

Wuertz, David B. Editing wind profiler measurements. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1989.

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5

Wuertz, David B. Editing wind profiler measurements. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1989.

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6

Klaus, Braun. Der Einfluss mesoskaliger Windfelder auf die räumliche Verteilung des Niederschlags: Eine Untersuchung zur Regionalisierung von Niederschlagsdaten mit Hilfe eines mesoskaligen Strömungsmodells. Freiburg: Im Selbstverlag des Institutes für Physische Geographie der Albert-Ludwigs-Universität Freiburg i. Br., 1997.

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7

Rennick, Mary Alice. Solutions to the shallow water equations in an ocean basin forced by unsteady winds. Monterey, Calif: Naval Postgraduate School, 1988.

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8

Schuhmacher, Peter. Messung und numerische Modellierung des Windfeldes über einer Stadt in komplexer Topographie. Zürich: Verlag der Fachvereine Zürich, 1992.

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9

Schwenzfeger, K. J. Comparison of ERS-1 scatterometer Monte Carlo performance simulations using a weighted nonlinear least-squares and a maximum likelihood estimation method. Neubiberg: Hochschule der Bundeswehr München, 1985.

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10

Schwenzfeger, K. J. Auswertung von gemessenen Rückstreukoeffizienten im Hinblick auf bestehende Windfelder. Neubiberg: Universität der Bundeswehr München, 1985.

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11

Kamada, Ray. Preliminary review of flow models considered for use at Vandenberg Air Force Base. Monterey, Calif: Naval Postgraduate School, 1989.

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12

Lanicci, John M. Sensitivity tests of a surface-layer windflow model to effects of stability and vegetation. Hanscom AFB, MA: Atmospheric Sciences Division, Air Force Geophysics Laboratory, 1985.

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13

Justus, C. G. The NASA/MSFC global reference atmospheric model--1990 version (GRAM-90). Atlanta, Ga: School of Earth and Atmospheric Sciences, Georgia Institue of Technology, 1990.

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14

Indo-US Seminar on Parameterization of Sub-grid Scale Processes in Dynamical Models of Medium Range Prediction and Global Climate (1990 Pune, India). Physical processes in atmospheric models: Collection of papers presented at the Indo-US Seminar on Parameterization of Sub-grid Scale Processes in Dynamical Models of Medium Range Prediction and Global Climate, IITM, Pune, India, 6-10 August 1990. New York: Wiley, 1992.

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15

Russell, Sarah L. Shelf currents, ice and wind: A numeric modeling study. Cambridge, Mass: Massachusetts Institute of Technology, 2003.

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16

Goretzki, Bernd. Untersuchungen zur Ausbreitung und Entwicklung von Rossby-Wellen in einem dreidimensionalen, globalen numerischen Modell bei Anwesenheit einer subtropischen kritischen Schicht. Berlin: D. Reimer, 1988.

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17

Kamada, Ray. A comparison of eight cases selected from the vandenberg AFB Mt. Iron tracer study with results from the Lincoln/Rimpuff dispersion model. Monterey, Calif: Naval Postgraduate School, 1991.

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18

Teske, Milton E. AGDISP and FSCBG aerial spray model: Source decay coefficients. Missoula, Mont.]: U.S. Dept. of Agriculture, Forest Service, Technololgy & Development Program, 1989.

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19

Teske, Milton E. AGDISP analysis of vortex decay from program WIND phases I and III: Final report. Missoula, MT: U.S. Dept. of Agriculture, Forest Service, Technololgy & Development Program, 1989.

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20

Teske, Milton E. An examination of AGDISP helicopter model comparisons with data and detailed helicopter code predictions. Missoula, MT: U.S. Dept. of Agriculture, Forest Service, Technololgy & Development Program, 1989.

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21

NATO Advanced Research Workshop "Atmospheric Boundary Layers: Modelling and Applications to Environmental Security" (2006 Dubrovnik, Croatia). Atmospheric boundary layers: Nature, theory, and application to environmental modelling and security. Edited by Baklanov Alexander and Grisogono B. New York: Springer Science+Business Media, 2007.

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22

Maarouf, A. Windchill indices : a review of science, current applications and future directions for Canada =: Indices de refroidissement éolien : examen de la science, des applications actuelles et des orientations futures pour le Canada. Downsview, Ont: Meteorological Service of Canada, Environment Canada = Service météorologique du Canada, Environnement Canada, 2000.

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23

Pierson, Willard J. Probabilities and statistics for backscatter estimates obtained by a scatterometer with applications to new scatterometer design data. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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24

Harald, Weber, and U.S. Air Force Geophysics Laboratory. Atmospheric Sciences Division., eds. Validation of a surface-layer windflow model using climatology and meteorological tower data from Vandenberg AFB, California. Hanscom AFB, MA: Atmospheric Sciences Division, Air Force Geophysics Laboratory, 1987.

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25

United States. Federal Aviation Administration. Program Director for Surveillance, ed. On the potential use of the terminal doppler weather radar gust front detection algorithm on the WSR-88D system. Washington, DC: U.S. Dept. of Transportation, Federal Aviation Administration, Program Director for Surveillance, 1991.

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26

United States. National Aeronautics and Space Administration., ed. Investigation of water vapor motion winds from geostationary satellites. [Washington, D.C: National Aeronautics and Space Administration, 1993.

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27

1939-, Justus C. G., and George C. Marshall Space Flight Center., eds. The NASA/MSFC global reference atmospheric model--1995 version (GRAM-95). MSFC, Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 1995.

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28

United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, ed. Modification of a variational objective analysis model for new equations for pressure gradient and vertical velocity in the lower troposphere and for spatial resolution and accuracy of satellite data. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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29

P, Hosker Rayford, and Air Resources Laboratories, eds. An assessment of the dispersion models in the MARSS system used at the Kennedy Space Center. Silver Spring, Md: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Air Resources Laboratory, 1994.

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30

(Editor), Joachim Peinke, Peter Schaumann (Editor), and Stephan Barth (Editor), eds. Wind Energy: Proceedings of the Euromech Colloquium. Springer, 2006.

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31

Barbour, Philip L. The use of conserved variables in the modeling and parameterization of shallow cumulus trade wind boundary layers. 1992.

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32

G, Benjamin Stanley, and Forecast Systems Laboratory (U.S.), eds. The RUC 3D variational analysis (and postprocessing modifications). Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Forecast Systems Laboratory, 2003.

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33

The RUC 3D variational analysis (and postprocessing modifications). Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Forecast Systems Laboratory, 2003.

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34

Probabilities and statistics for backscatter estimates obtained by a scatterometer with applications to new scatterometer design data. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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35

United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., ed. Modification of a variational objective analysis model for new equations for pressure gradient and vertical velocity in the lower troposphere and for spatial resolution and accuracy of satellite data. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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36

Lange, Matthias, and Ulrich Focken. Physical Approach to Short-Term Wind Power Prediction. Springer, 2009.

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37

Physical Approach to Short-Term Wind Power Prediction. Springer, 2005.

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38

Lange, Matthias, and Ulrich Focken. Physical Approach to Short-Term Wind Power Prediction. Springer Berlin / Heidelberg, 2010.

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39

Lange, Matthias, and Ulrich Focken. Physical Approach to Short-Term Wind Power Prediction. Springer London, Limited, 2006.

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