Books on the topic 'Fronts (Meteorology) Forecasting Mathematical models'

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1

Gericke, Manfred. Frontenanalyse als Aufgabe der Variationsrechnung und der optimalen Steuerung. Berlin: Akademie-Verlag, 1990.

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2

Hayes, Pamela Speers. Prediction of precipitation in Western Washington State. Olympia, Wash: Washington State Dept. of Transportation, Planning, Research and Public Transportation Division, 1991.

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3

International Symposium on Short and Medium Range Numerical Weather Prediction (1986 Tokyo, Japan). Short- and medium- range numerical weather prediction: Collection of papers presented at the WMO/IUGG NWP Symposium, Tokyo, 4-8 August 1986. Tokyo: Meteorological Society of Japan, 1987.

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4

Saitō, Kazuo. Documentation of the Meteorological Research Institute Numerical Prediction Division unified nonhydrostatic model. Japan: Meteorological Research Institute, 2001.

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5

Empirical methods in short-term climate prediction. Oxford: Oxford University Press, 2007.

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6

service), SpringerLink (Online, ed. Fronts, Waves and Vortices in Geophysical Flows. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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7

(Korea), Han'gang Hongsu T'ongjeso. Han'gang hongsu yebo: Imjin'gang, Ansŏngch'ŏn p'oham. Sŏul-si: Kukt'o Haeyangbu Han'gang Hongsu T'ongjeso, 2011.

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8

Parrett, Charles. Characteristics of extreme storms in Montana and methods for constructing synthetic storm hyetographs. Helena, Mont: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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9

Workshop on Boundary Layer Models in Short Range Weather Forecasting (1986 De Bilt, Utrecht, Netherlands). Report of the Workshop on Boundary Layer Models in Short Range Weather Forecasting, including the abstract of all the presentations during the workshop (De Bilt, The Netherlands, 10-12 March, 1986). De Bilt: Koninklijk Nederlands Meteorologisch Instituut, 1986.

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10

A, Matthews David. Nested model simulations of regional orographic precipition. Denver, Colo: U.S. Dept. of the Interior, Bureau of Reclamation, Technical Service Center, 1997.

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11

A, Matthews David. Nested model simulations of regional orographic precipitation. Denver, Colo: U.S. Dept. of the Interior, Bureau of Reclamation, Technical Service Center, 1997.

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12

Forecast: What physics, meteorology and the natural sciences can teach us about economics. London: Bloomsbury, 2013.

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13

Fundamentals of numerical weather prediction. Cambridge: Cambridge University Press, 2011.

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14

Vadimovich, Gruza Georgiĭ, ed. Klimaticheskai͡a︡ izmenchivostʹ: Stokhasticheskie modeli, predskazuemostʹ, spektry. Moskva: "Nauka", 1985.

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15

Herzog, Hans-Joachim. Zur Entwicklung eines Meso-alpha-Regionalmodells im MD der DDR: Detaillierte Beschreibung des adiabatischen Modellteils. Berlin: Akademie-Verlag, 1989.

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16

Bandyopadhyay, A. Initialization experiments over Indian region with a limited area model using recursive digital filters. Pune: Indian Institute of Tropical Meteorology, 2004.

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17

P, Kurbatkin G., ed. Modelirovanie krupnomasshtabnoĭ dinamiki atmosfery: Chislennye metody. Novosibirsk: Akademii͡a︡ nauk SSSR, Sibirskoe otd-nie, Vychislitelʹnyĭ t͡s︡entr, 1991.

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18

P, Kurbatkin G., ed. Modelirovanie krupnomasshtabnoĭ dinamiki atmosfery: Metody diagnoza obshcheĭ t͡s︡irkuli͡a︡t͡s︡ii. Novosibirsk: Akademii͡a︡ nauk SSSR, Sibirskoe otd-nie, Vychislitelʹnyĭ t͡s︡entr, 1990.

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19

Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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20

Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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21

Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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22

Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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23

Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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24

Liang, Xu, and SpringerLink (Online service), eds. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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25

A, Pielke Roger. Mesoscale meteorological modeling. 2nd ed. San Diego: Academic Press, 2002.

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26

Mesoscale meteorological modeling. 2nd ed. San Diego, Calif: Academic, 2001.

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27

Landberg, Lars. Meteorology for Wind Energy: An Introduction. Wiley, 2015.

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28

Landberg, Lars. Meteorology for Wind Energy: An Introduction. Wiley & Sons, Limited, John, 2015.

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29

Landberg, Lars. Meteorology for Wind Energy: An Introduction. Wiley & Sons, Incorporated, John, 2015.

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30

Landberg, Lars. Meteorology for Wind Energy: An Introduction. Wiley & Sons, Incorporated, John, 2015.

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31

Klaus-Georg, Keuler, and Kerkmann Jochen, eds. Simulation orographisch beeinflusster Fronten mit einem Front-Skala Modell. Bonn: Dümmler, 1990.

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32

Matthew, Kelsch, and Forecast Systems Laboratory (U.S.), eds. Current icing potential for Alaska (CIP-AK): Quality assessment report. 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

Matthew, Kelsch, and Forecast Systems Laboratory (U.S.), eds. Current icing potential for Alaska (CIP-AK): Quality assessment report. 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

Palmer, Tim, and Paul Williams. Stochastic Physics and Climate Modelling. Cambridge University Press, 2018.

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35

Tim, Palmer, and Williams Paul 1952-, eds. Stochastic physics and climate modelling. New York: Cambridge University Press, 2009.

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36

Tim, Palmer, and Williams Paul 1952-, eds. Stochastic physics and climate modelling. New York: Cambridge University Press, 2009.

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37

Uncertainties and Limitations in Simulating Tropical Cyclones Springer Theses. Springer, 2012.

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38

1955-, Emanuel Kerry A., and Raymond David J, eds. The representation of cumulus convection in numerical models. Boston, Mass: American Meteorological Society, 1993.

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39

Numerical investigation on wind induced interannual variability of the North Indian Ocean SST. Pune: [Indian Institute of Tropical Meteorology], 1999.

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40

G, Vernekar K., and Indian Institute of Tropical Meteorology., eds. Land surface processes experiment in the Sabarmati River basin: An overview and early results. Pune: [Indian Institute of Tropical Meteorology], 1999.

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41

Forecast: What Physics, Meteorology, and the Natural Sciences Can Teach Us about Economics. Bloomsbury Publishing USA, 2014.

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42

Coiffier, Jean. Fundamentals of Numerical Weather Prediction. Cambridge University Press, 2012.

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43

Coiffier, Jean. Fundamentals of Numerical Weather Prediction. Cambridge University Press, 2011.

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44

Coiffier, Jean. Fundamentals of Numerical Weather Prediction. Cambridge University Press, 2012.

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45

Coiffier, Jean. Fundamentals of Numerical Weather Prediction. Cambridge University Press, 2011.

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46

(Editor), David J. Raymond, ed. The Representation of Cumulus Convection in Numerical Models (Meteorological Monographs (Amer Meteorological Soc)). American Meteorological Society, 1994.

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47

Jeffrey, McQueen, and Air Resources Laboratory (U.S.), eds. NOAA Mesoscale Modeler's report: Opportunities for collaboration. [Silver Spring, MD: NOAA Air Resources Laboratory, 1996.

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48

A study of the effect of synoptic scale processes in GCM modelling: Final technical report. [Greenbelt, Md.]: National Aeronautics and Space Administration [Goddard Space Flight Center, 1990.

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49

Center, Goddard Space Flight, ed. A study of the effect of synoptic scale processes in GCM modelling: Final technical report. [Greenbelt, Md.]: National Aeronautics and Space Administration [Goddard Space Flight Center, 1990.

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50

United States. National Environmental Satellite, Data, and Information Service., ed. Automated satellite-based estimates of precipitation: An assessment of accuracy. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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