An Automatic Profiler of the Temperature, Wind and Humidity in the Troposphere

Hogg, David C.; Decker, M. T.; Guiraud, F. O.; Earnshaw, K. B.; Merritt, D. A.; Moran, K. P.; Sweezy, W. B.; Strauch, R. G.; Westwater, Ed R.; Little, C. G.

doi:10.1175/1520-0450(1983)022<0807:aapott>2.0.co;2

Cited by 84 publications

(29 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Intermittent clutter echoes caused by aircraft were already mentioned by Hogg et al (1983), and a few years later it Published by Copernicus Publications on behalf of the European Geosciences Union. became obvious that especially echoes from migrating birds can be a serious issue in wind profiling (Ecklund et al, 1990;Barth et al, 1994).…”

Section: Introductionmentioning

confidence: 88%

Advanced intermittent clutter filtering for radar wind profiler: signal separation through a Gabor frame expansion and its statistics

Lehmann

Teschke

2008

Ann. Geophys.

View full text Add to dashboard Cite

Abstract.A new signal processing method is presented for the suppression of intermittent clutter echoes in radar wind profilers. This clutter type is a significant problem during the seasonal bird migration and often results in large discrepancies between profiler wind measurements and independent reference data. The technique presented makes use of a discrete Gabor frame expansion of the coherently averaged time series data in combination with a statistical filtering approach to exploit the different signal characteristics between signal and clutter. The rationale of this algorithm is outlined and the mathematical methods used are presented in due detail. A first test using data obtained with an operational 482 MHz wind profiler indicates that the method outperforms the previously used clutter suppression algorithm.

show abstract

Section: Introductionmentioning

confidence: 88%

Advanced intermittent clutter filtering for radar wind profiler: signal separation through a Gabor frame expansion and its statistics

Lehmann

Teschke

2008

Ann. Geophys.

View full text Add to dashboard Cite

show abstract

“…These data included low-level reflectivity and velocity scans at five-minute intervals, and midlevel (eightkilometer) reflectivity at 15-minute intervals. Other new products available on the workstation included synopticscale National Meteorological Center (NMC) products, such as upper-air plots and analyses; skew-r plots of the morning Denver rawinsonde observation; and vertical profiles of wind, temperature, and humidity from the Wave Propagation Laboratory's (WPL) Profiler system (Hogg et al, 1983) available to the forecasters every 20 minutes. A detailed tabulation of the products available during the 1983 exercise is presented in Schlatter et al (1985).…”

Section: A Worktationsmentioning

confidence: 99%

focus on forecasting1

1986

Bulletin of the American Meteorological Society

View full text Add to dashboard Cite

A forecast experiment was conducted from 1 June to 12 August 1983 at the Program for Regional Observing and Forecasting Services (PROFS) in Boulder, Colorado. The exercise included probabilistic forecasts of severe-weather convective outlooks prepared with the use of existing technology and severe-storm warnings made with the use of advanced technology to display a wide variety of data sets on the PROFS workstation. The convective outlooks were evaluated using signal-detection-theory analyses and Brier scores. Considerable skill using signal-detection theory was found for both severe-thunderstorm and tornado outlooks, treated as separate outlooks. On the other hand, Brier skill scores relative to sample climatology show small skill for the thunderstorm outlooks and no skill for the tornado outlooks. The signal-detection analyses provide valuable baseline values for future evaluation studies.Skill scores for the warnings issued at PROFS are compared with a similar set of skill scores for Warnings from the Denver WSFO (Weather Service Forecast Office). Considerably higher skill is found in PROFS severe-thunderstorm-warning scores. This result is attributed to advanced technology and the controlled environment in the PROFS forecast office. For tornado warnings, the probability of detection was slightly higher and the false-alarm rate was much lower at the Denver WSFO than at PROFS. The high false-alarm rate at PROFS is ascribed to the lack of familiarity with the new Doppler-radar data, the overreaction to those data, and the incompleteness of the radar data set. An analysis of area-and time-weighted skill scores is also presented to illustrate the concept that frequently issued time-and site-specific severe-storm warnings have a marked potential for improved service to the public.forecasts of severe weather (MacDonald, 1984). The summer forecast exercise included the following objectives: 1) to test a new version of the forecasting workstation, upgraded since the 1982 system reported by Reynolds (1983); 2) to obtain expert opinion on the scientific and technological obstacles to further progress in convective forecasting; 3) to develop procedures for evaluating progress in nowcasting and very-short-range forecasting of convection as these terms are defined by Zipser (1985). Three types of forecasts were prepared daily: 1) a convective-weather outlook for probabilities of tornadoes and severe thunderstorms; 2) warnings for severe thunderstorms, tornadoes, and flash floods as necessary; and 3) scheduled forecasts of significant weather probabilities for precipitation, wind, and visibility. Williams and McCoy (1984) have presented a preliminary report on evaluation of the probability forecasts. Schlatter et al. (1985) discuss topics related to the first two objectives of the 1983 exercise listed above.This paper presents an evaluation of the daily severeweather convective outlook forecasts and the severe-weather warnings (nowcasts to short-term forecasts) prepared during the experiment.

show abstract

“…An automatic profiler was operated from 1982 to 1992 at the National Oceanic and Atmospheric Administration Environmental Research Laboratory (NOAA/ERL) Wave Propagation Laboratory in Boulder, Colorado [Hogg et al, 1983]. The profiles of temperature and water vapor are retrieved from the brightness temperatures measured by the six-channel microwave radiometer and from the surface measurements of pressure, Copyright 1998 by the American Geophysical Union.…”

Section: Introductionmentioning

confidence: 99%

A combined natural orthogonal functions/neural network technique for the radiometric estimation of atmospheric profiles

Frate¹,

Schiavon²

1998

Radio Science

View full text Add to dashboard Cite

Abstract. An inversion technique is presented for retrieving vertical profiles of atmospheric temperature and vapor from the brightness temperatures measured by a ground-based multichannel microwave radiometer and the surface measurements of temperature and relative humidity. It combines a profile expansion over a complete set of natural orthogonal functions with a neural network which performs the estimate of the coefficients of the expansion itself. A simulation study has been carried out, and the algorithm has been tested by comparing its retrievals with those obtained by means of linear statistical inversion applied on the same data sets. The analysis has been limited to the case of profiles with clouds in order to test the ability of the neural network to face nonlinear problems. The technique has proven to be flexible, showing a good capability of exploiting information provided by other instruments, such as a laser ceilometer. A fault tolerance evaluation has also been considered, which showed interesting properties of robustness of the algorithm.

show abstract

An Automatic Profiler of the Temperature, Wind and Humidity in the Troposphere

Cited by 84 publications

References 19 publications

Advanced intermittent clutter filtering for radar wind profiler: signal separation through a Gabor frame expansion and its statistics

Advanced intermittent clutter filtering for radar wind profiler: signal separation through a Gabor frame expansion and its statistics

focus on forecasting1

A combined natural orthogonal functions/neural network technique for the radiometric estimation of atmospheric profiles

Contact Info

Product

Resources

About