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Amir Givati, Barry Lynn, Yubao Liu, and Alon Rimmer

Kinneret play a crucial role in Israeli agricultural and hydrological planning and in flood control. Hydrological forecasts are instrumental for decision-support activities at the Israel Water Authority. Major operational weather forecast centers provide relatively coarse (~16–25-km grid increment) precipitation analyses and forecasts, which are incapable of resolving the necessary details of the complex precipitation structures that are forced by mesoscale orography, land surface heterogeneities, and

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Feng Nai, Jami Boettcher, Christopher Curtis, David Schvartzman, and Sebastián Torres

is comparable to that of the WSR-88D ( Lei et al. 2015 ). To properly balance system cost and performance, it is important for decision-makers to understand the impact of not meeting one or more cost-driving threshold requirements on forecasters’ interpretation of radar data. One potential cost-driving requirement that has significant operational impact is the spatial resolution. The spatial resolution (measured in the azimuth, elevation, and range dimensions) is tied to the radar’s ability to

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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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I. Gultepe, M. D. Müller, and Z. Boybeyi

idealized two-dimensional mountain to investigate various aspects of a bulk, mixed-phase microphysical parameterization found in the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5), the RUC model, and the Weather Research and Forecast model. They stated that bin models are computationally very expensive and that, for this reason, bin models are not yet viable for real-time operational NWP runs. In their application, N d was assumed to be 50

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Renaud Marty, Isabella Zin, Charles Obled, Guillaume Bontron, and Abdelatif Djerboua

1. Introduction Catchments of southern France are regularly subject to flash floods generated by intense-rainfall events—generally in the autumn (i.e., from September to December). Thus, flood forecasting requires an appropriate anticipation of future rainfall: to issue an early flood warning, at least 12–24 h before the event; to alert operational or safety services, at least 2–3 days ahead. Such quantitative precipitation forecasts (QPF) are generally provided by numerical weather prediction

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Domingo Muñoz-Esparza and Robert Sharman

Guidance (GTG) system, originally devised by Sharman et al. (2006) , that is run operationally for public use by NOAA’s National Weather Service ( ). GTG uses an ensemble average that is based on an optimum combination of turbulence diagnostics that has been recently extended by ( Sharman and Pearson 2017 ) to 1) provide forecasts at all flight altitudes from surface to flight level (FL) 500 (50 000 ft; 1 ft = 30.48 cm), 2) explicitly provide forecasts of

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Timothy J. Schmit, Jun Li, Jinlong Li, Wayne F. Feltz, James J. Gurka, Mitchell D. Goldberg, and Kevin J. Schrab

resolution and high temporal resolution. A product demonstration using the Spinning Enhanced Visible and Infrared Imager (SEVIRI) measurements from the European Meteosat Second Generation (MSG) is given in section 5 . Conclusions are presented in section 6 . 2. Operational products Moisture information (three layers of precipitable water) and cloud heights from the current GOES sounders have provided a positive impact on NWP, and nowcasting at the forecast offices has benefited most from atmospheric

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Kelly Soich and Bernhard Rappenglueck

1. Introduction a. Background Atmospheric temperature prediction has improved escalating atmospheric modeling skill and provided high degrees of success in regional climate modeling. Prior to computer modeling, weather prediction methods utilized manual calculations to solve lengthy mathematical formulas forecasting atmospheric temperature on which to base operational decisions (i.e., optimal aircraft cruise altitude) ( Zhu et al. 2002 ). Advancements in computer technology allow atmospheric

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Jung-Hoon Kim, Hye-Yeong Chun, Robert D. Sharman, and Teddie L. Keller

), and output from the GTG system is currently available operationally (online at ). The approach used for upper-level turbulence forecasting in the GTG system is as follows. First, the GTG system calculates several turbulence diagnostics representing large-scale forcings such as frontogenesis, tropopause proximity, and ageostrophic flow. Second, the calculated diagnostics are optimally combined by weighting scores that are based on the forecasting performance of the

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John A. Knaff, Mark DeMaria, Debra A. Molenar, Charles R. Sampson, and Matthew G. Seybold

Islands. Nonetheless, the structure of the TC wind fields is routinely diagnosed at global operational forecast centers without aircraft reconnaissance. This diagnosis is often hampered by sparse in situ data and remotely sensed data from disparate sources. In a typical operational setting there are several sources of near-surface wind data located near TCs. Examples include wind speeds from the passive microwave sensors on the Special Sensor Microwave Imager (SSM/I) ( Goodberlet et al. 1989

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