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Lawrence D. Burroughs and Samson Brand

tropical cyclone data (1945-69) for the western North Padfic were evaluated todetermine the speed-of-movement characteristics of tropical storms and typhoons following recurvature.The results show that the acceleration of storms following reeurvature is dependent on the meteorologicalcharacteristics of the storm, and the surrounding synoptic environment which is a function of the timeof the year. Forecast equations derived by linear regression techniques are presented for the speed of movement of

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William R. Burrows, Mario Benjamin, Stephen Beauchamp, Edward R. Lord, Douglas McCollor, and Bruce Thomson

forecasts in the two regions shows the technique would havereasonably good skill in forecasting surface O3 concentrations near or exceeding acceptable l-h limits. A computerversion of the technique has been provided for use in the regional forecast offices.1. Introduction In elevated concentrations, surface ozone (03) haspotentially deleterious effects on human and animal Corresponding author address: Dr. William R. Burrows, Meteorological Research Branch, Atmospheric Environment Service

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W. S. Harley

VOL. 4, NO. 3 JOURNAL OF APPLIED METEOROLOGY JUNE 1965An Operational Method for Quantitative l~recipitation Forecasting W. S.Meteorological Service of Canada, Toronto, Ontario(Manuscript received 9 October 1964, in revised form 10 March 1965)ABSTRACT A complete operational method for quantitative precipitation forecasting (Q.P.F.), is developed bycombining the technique for determining large scale vertical

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T. Uttal, J. B. Snider, R. A. Kropfli, and B. W. Orr

are utilizing newinformation from remote sensors. For instance, Zamora (1988, personal communication) is examiningmoisture convergence measured by a triangular arrayof wind profilers colocated with radiometric vaporprofiling devices. Also, meteorologists are proposingnew forecasting techniques based on the improved satellite retrieval of water vapor profiles (Lipton et al.1986). In this paper, we present calculations of vapor fluxesmeasured with a scanning Doppler radar and dualchannel

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Godelieve Deblonde, Louis Garand, Pierre Gauthier, and Christopher Grassotti

)ABSTRACT Total precipitab!- water (TPW) retrieved from Special Sensor Microwave/lmager ( SSM / I ) bright ness temperatures and specific humidity retrieved from Geostationary Operational Environmental Satellite (GOES)radiances are assimilated using a one-dimensional (ID) variational analysis technique. The study is dividedinto two parts. First, collocations with radiosondes are performed to assess the quality of the satellite watervapor retrievals. Collocations are also performed with 6-h forecast

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Barbara G. Brown, Richard W. Katz, and Allan H. Murphy

take into account the uncertaintyof wind speed and wind power forecasts, techniques are presented for expressing the forecasts either in termsof confidence intervals or in terms of probabilities.I.. IntroductionBefore wind power can be integrated into a largemultisource energy network, it is necessary to obtaingood estimates of its potential contribution to thatnetwork. Because the data records at potential windpower sites typically are of short length, such determinations usually must be made

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Eder Paulo Vendrasco, Juanzhen Sun, Dirceu Luis Herdies, and Carlos Frederico de Angelis

. Tamiya , T. Tsuyuki , Y. Honda , and Y. Wakazuki , 2007 : An assimilation and forecasting experiment of the Nerima heavy rainfall with a cloud-resolving nonhydrostatic 4-dimensional variational data assimilation system . J. Meteor. Soc. Japan , 85 , 255 – 276 , doi: 10.2151/jmsj.85.255 . Lee , M.-S. , Y.-H. Kuo , D. M. Barker , and E. Lim , 2006 : Incremental analysis updates initialization technique applied to 10-km MM5 and MM5 3DVAR . Mon. Wea. Rev. , 134 , 1389 – 1404

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Siebren de Haan, Iwan Holleman, and Albert A. M. Holtslag

model ( Macpherson et al. 2007 ; Poli et al. 2007 ; Smith et al. 2007 ). These high-temporal-resolution water vapor measurements are likely to also have a large impact on forecasting (rapidly) developing systems ( Mazany et al. 2002 ; de Haan et al. 2002 , 2004 ; de Haan 2006 ). Note that the method presented by Mazany et al. (2002) has a lead time of around 12 h. The current measurements of atmospheric water vapor by the radiosonde network do not possess the temporal or the spatial

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Richard Lyons, H. A. Panofsky, and Sarah Wollaston

Richardson number falls between 0.2 and 0.5. Since the Richardson number isstatistically related to the wind speed at one to a few hundred meters, it is found that the dew-point depression in the morning, as well as visibility, is related to the wind speed able the surface. It follows, that objective forecast techniques for the dew-point depression and visibility can be improved by including the windspeed above the surface as a parameter.1. Introduction The Richardson number, Ri is defined by:where g

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R. M. Endlich and J. R. Clark

quantities in atmospheric layers for use in representing the gross atmospheric structure; (c.) Computing quantities such as vorticity, diver gence, deformation, vertical motion, geostrophic departures, etc., for use in dynamical, statistical, or synoptic forecasting techniques. The quantities of items (a) and (b) are computedfrom rawinsonde data at individual stations and thoseof item (c) are computed from data at three stationswhich form a triangle. The observing stations

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