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Yong-Keun Lee, Zhenglong Li, Jun Li, and Timothy J. Schmit

Weather Analysis and Forecasting, Phoenix, AZ, Amer. Meteor. Soc., 368–369 . Schreiner, A. J. , Schmit T. J. , and Menzel W. P. , 2001 : Observations and trends of clouds based on GOES sounder data . J. Geophys. Res. , 106 ( D17 ), 20 349 – 20 363 . Seemann, S. W. , Li J. , Menzel W. P. , and Gumley L. E. , 2003 : Operational retrieval of atmospheric temperature, moisture, and ozone from MODIS infrared radiances . J. Appl. Meteor. , 42 , 1072 – 1091 . Seemann, S. W. , Borbas

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L. Cucurull, R. A. Anthes, and L.-L. Tsao

1. Introduction In recent years, the large increase in the number of satellite observations and the improvements in the assimilation of the data in numerical weather prediction (NWP) models have been major factors in improving the skill of numerical weather forecasts, particularly in the Southern Hemisphere, where the number of nonsatellite observations is limited ( Kelly and Pailleux 1988 ). Infrared and microwave nadir sounders are the most commonly used satellite instruments for operational

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Brian K. Blaylock, John D. Horel, and Chris Galli

use opportunistic cycles, they are at risk of being preempted by the compute resource owner. Hence, the OSG cannot be relied on for time-sensitive operational jobs. However, there are built-in provisions to restart preempted jobs so that all are completed. 3. Data and methods a. HRRR model The HRRR forecast modeling system developed by NOAA’s Earth System Research Laboratory and run operationally by the Environmental Modeling Center (EMC) produces F00–F18 forecasts for the contiguous United States

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Steven E. Koch, Martin Fengler, Phillip B. Chilson, Kimberly L. Elmore, Brian Argrow, David L. Andra Jr., and Todd Lindley

full-tropospheric rawinsonde data obtained from CLAMPS and the NSSL mobile mesonet van were provided to NWS-Norman Forecast Office in real time for evaluation. The NWS provided daily forecast project support, assisted with decisions concerning data collection and daily waypoint selection, and participated in postanalysis of the UAS data collected to gain insight into its potential operational forecast and warning value. We believe this coordination with an NWS Forecast Office represents a first in

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Zaizhong Ma, Lars Peter Riishøjgaard, Michiko Masutani, John S. Woollen, and George D. Emmitt

control, which assimilates all the same observational data as the NCEP operational datasets in 2005. The paper is arranged as follows. The model details are presented in section 2 , which also gives the overview of the GWOS concept mission and describes the nature run from the European Centre for Medium-Range Weather Forecasts (ECMWF) global model and the lidar data assimilation methodologies in the Gridpoint Statistical Interpolation (GSI) analysis system. Section 3 describes the experimental

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Laurie G. Hermes, Arthur Witt, Steven D. Smith, Diana Klingle-Wilson, Dale Morris, Gregory J. Stumpf, and Michael D. Eilts

theGFDA wind-shift prediction products with a valuegreater than + 1. Operationally, the forecasts serve as a "heads up"warning to the air traffic control (ATC) supervisors.The forecast information is used to coordinate the potential runway configuration changes with the variousair traffic managers, but typically, runways are not reconfigured until the wind shift is confirmed [e.g., by awind change at an outlying Low-Level Wind ShearAlert System (LLWAS) anemometer]. Thus, the forecast information

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S. J. Foreman, M. W. Holt, and S. Kelsall

the UKMO wave model to ERS-1data were similar to those comparing the model against moored buoy data. Once the quality of altimeter data was established, an assimilation trial was run. From the start of November1991 to the end of January 1992 the altimeter data were assimilated into the UKMO wave forecast system inreal time, with the operational wave products as a control. The main impact of assimilating the data was toincrease swell in the model fields, and the largest impact was in the central

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Birgitte Rugaard Furevik, Harald Schyberg, Gunnar Noer, Frank Tveter, and Johannes Röhrs

downscaling of the European reanalysis ERA-40 ( Uppala et al. 2005 ) over the Greenland, Norwegian, Barents, and the North Seas using the High Resolution Limited Area Model (HIRLAM) ( Undén et al. 2002 ) with approximately 10 km × 10 km spatial resolution ( Reistad et al. 2011 ; Furevik and Haakenstad 2012 ). HIRLAM was used in operational forecasting at the Norwegian Meteorological Institute (MET Norway) until summer 2014, in two different model setups with 8- and 12-km spatial resolution, denoted as

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Hua Xie, Nicholas R. Nalli, Shanna Sampson, Walter W. Wolf, Jun Li, Timothy J. Schmit, Christopher D. Barnet, Everette Joseph, Vernon R. Morris, and Fanglin Yang

, Schmit T. J. , Weisz E. , and Ackerman S. A. , 2009 : Forecasting and nowcasting improvement in cloudy regions with high temporal GOES sounder infrared radiance measurements . J. Geophys. Res. , 114 , D09216 , doi:10.1029/2008JD010596 . Maddy, E. S. , and Coauthors , 2012 : On the effect of dust aerosols on AIRS and IASI operational level 2 products . Geophys. Res. Lett. , 39 , L10809 , doi:10.1029/2012GL052070 . McNally, A. P. , Watts P. D. , Smith J. A. , Engelen R

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David Schvartzman, Sebastián M. Torres, and David Warde

computationally simple and uses data that are readily available in split cuts of operational VCPs on the WSR-88D. Also, the conservative decision criterion ensures that the HSE preserve or improve the data quality compared to the conventional estimators. Since all current operational VCPs use split cuts at two or three elevations per volume scan, the use of the HSE can lead to operational benefits. In addition to downstream algorithms receiving inputs with better quality, forecasters can gain confidence in

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