Books on the topic 'Numerical weather forecasting Australia'

CAS/JSC Working Group on Numerical Experimentation. Session. Report of the sixth session of the CAS/JSC Working Group on Numerical Experimentation: Melbourne, Australia, 24-28 September 1990. [Geneva, Switzerland]: World Meteorological Organization, 1991.

Numerical weather and climate prediction. Cambridge: Cambridge University Press, 2011.

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

Spectral numerical weather prediction models. Philadelphia: Society for Industrial and Applied Mathematics, 2012.

Atmospheric modeling, data assimilation, and predictability. Cambridge, U.K: Cambridge University Press, 2003.

Jensen, Anna B. O. Numerical weather predictions for Network RTK. [Denmark]: National Survey and Cadastre, 2002.

An introduction to numerical weather prediction techniques. Boca Raton, Fla: CRC Press, 1996.

World Meteorological Organization. Executive Council. Session. Mesoscale forecasting and its applications. Geneva, Switzerland: Secretariat of the World Meteorological Organization, 1989.

Bell, R. S. The Meteorological Office operational numerical weather prediction system. London: HMSO, 1987.

Rochas, Michel. La météorologie: La prévision numérique du temps et du climat. Paris: Syros/Alternatives, 1993.

Krishnamurti, T. N. Workbook on numerical weather prediction for the tropics for the training of class I and class II meteorological personnel. Geneva, Switzerland: Secretariat of the World Meteorological Organization, 1986.

Tsuboki, Kazuhisa, and Atsushi Sakakibara. Numerical prediction of high-impact weather systems: The text book for the seventeenth IHP training course in 2007 : International hydrological programme "prepared for the seventeenth IHP training course on numerical prediction of high-impact weather systems, 2-15 December, Nagoya, Japan". [Nagoya, Japan]: Hydrospheric Atmospheric Research Center, Nagoya University, 2007.

Ridge, Daniel. A candidate mesocale numerical cloud/precipitation model. Hanscom AFB, MA: Atmospheric Sciences Division, Air Force Geophysics Laboratory, 1985.

European Working Group on Limited Area Modelling (24th 2002 KNMI, De Bilt, the Netherlands). 24th EWGLAM and 9th SRNWP meetings: 7-10 October 2002, KNMI, De Bilt, The Netherlands. De Bilt: Royal Netherlands Meteorological Institute, KNMI, 2003.

Newton, R. E. Improvements to the Staniforth-Mitchell barotropic numerical weather prediction code. Monterey, Calif: Naval Postgraduate School, 1986.

Gresʹko, P. D. Nekotorye voprosy statisticheskogo analiza i prognoza peremeshchenii͡a︡ tropicheskikh t͡s︡iklonov Atlanticheskogo okeana. Moskva: Moskovskoe otd-nie Gidrometeoizdata, 1987.

Climate, National Research Council (U S. ). Board on Atmospheric Sciences and. From research to operations in weather satellites and numerical weather prediction: Crossing the valley of death. Washington, D.C: National Academy Press, 2000.

Wahba, Grace. On the dynamic estimation of relative weights for observation and forecast in numerical weather prediction. Madison, WI: Dept. of Statistics, University of Wisconsin, 1988.

Hito to gijutsu de kataru tenki yohōshi: Sūchi yohō o hiraita "kin'iro no kagi". Tōkyō-to Bunkyō-ku: Tōkyō Daigaku Shuppankai, 2012.

Prasad, K. Monsoon forecasting with a limited area numerical weather prediction system. Dhaka: SAARC Meteorological Research Centre, 2005.

Franke, Richard H. The use of observed data for the initial value problem in numerical weather prediction. Monterey, California: Naval Postgraduate School, 1987.

Steppeler, Jürgen. Galerkin and finite element methods in numerical weather prediction. Bonn: Dümmler, 1987.

Shengpei, Tian, ed. Tian qi zhen duan fen xi fang fa jian jie. Beijing: Qi xiang chu ban she, 1986.

Phillips, Norman A. Dispersion processes in large-scale weather prediction. Geneva, Switzerland: Secretariat of the World Meteorological Organization, 1990.

Phillips, Norman A. Dispersion processes in large scale weather prediction. [Geneva]: World Meteorological Organization, 1990.

Yohōka, Japan Kishōchō Sūchi. Sūchi yohō to eisei dēta: Dōka no genjō to kadai. Tōkyō: Kishōchō Yohōbu, 2007.

Xi bei zhong yao tian qi cheng yin ji shu zhi yu bao fang fa yan jiu. Beijing Shi: Qi xiang chu ban she, 2002.

Proctor, F. H. The terminal area simulation system. Volume 1: Theoretical formulation. Hampton, Va: Langley Research Center, 1987.

McDonald, Aidan. The origin of noise in semi-Lagrangian integrations. Dublin: Met Éireann, 1998.

Newton, R. E. Performance comparisons for two versions of the Staniforth-Mitchell barotropic numerical weather prediction code. Monterey, Calif: Naval Postgraduate School, 1988.

Yohōka, Japan Kishōchō Sūchi. Butsuri katei no kaizen ni mukete. Tōkyō: Kishocho Yohobu, 2012.

Burwell, David C. Curvilinear version of the most model with application to the coast-wide tsunami forecast. Seattle, WA: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Office of Oceanic and Atmospheric Research, Pacific Marine Environmental Laboratory, 2008.

Session, CAS/JSC Working Group on Numerical Experimentation. Report of the second session of the CAS/JSC Working Group on Numerical Experimentation: Japan Meteorological Agency, Tokyo Japan, 11-15 August 1986. [Geneva, Switzerland]: World Meteorological Organization, 1987.

Bounoua, Lahouari, and T. N. Krishnamurti. Introduction to Numerical Weather Prediction Techniques. Taylor & Francis Group, 2018.

Bounoua, Lahouari, and T. N. Krishnamurti. Introduction to Numerical Weather Prediction Techniques. Taylor & Francis Group, 2018.

Bounoua, Lahouari, and T. N. Krishnamurti. Introduction to Numerical Weather Prediction Techniques. Taylor & Francis Group, 2018.

Bounoua, Lahouari, and T. N. Krishnamurti. Introduction to Numerical Weather Prediction Techniques. Taylor & Francis Group, 2018.

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

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

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

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

Stensrud, David J. Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models. Cambridge University Press, 2014.

Stensrud, David J. Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models. Cambridge University Press, 2013.

Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models. Cambridge University Press, 2007.

Stensrud, David J. Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models. Cambridge University Press, 2009.

G, Benjamin S., and Forecast Systems Laboratory (U.S.), eds. RUC20: The 20-km version of the Rapid Update Cycle. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Forecast Systems Laboratory, 2002.

G, Benjamin S., and Forecast Systems Laboratory (U.S.), eds. RUC20: The 20-km version of the Rapid Update Cycle. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Forecast Systems Laboratory, 2002.

Stensrud, David J. Parameterization Schemes. Cambridge University Press, 2007.

Bounoua, Lahouari, and T. N. Krishnamurti. An Introduction to Numerical Weather Prediction Techniques. CRC, 1995.

Lynch, Peter. The Emergence of Numerical Weather Prediction: Richardson's Dream. Cambridge University Press, 2006.