Journal of Atmospheric and Oceanic Technology (J ATMOS OCEAN TECH )
Publishes papers describing the instrumentation and methodology used in atmospheric and oceanic research including computational techniques, methods for data acquisition, processing, and interpretation, and information systems and algorithms.
- Impact factor1.69Show impact factor historyHide impact factor history
- 5-year impact2.28
- Cited half-life9.10
- Immediacy index0.42
- Article influence1.12
- WebsiteJournal of Atmospheric and Oceanic Technology website
- Other titlesJournal of atmospheric and oceanic technology (Online), Journal of atmospheric and oceanic technology
- Material typeDocument, Periodical, Internet resource
- Document typeInternet Resource, Computer File, Journal / Magazine / Newspaper
- Author can archive a pre-print version
- Author can archive a post-print version
- On author's personal web site or e-prints server
- On Institutional Repository after 6 months
- Accepted version must be removed no later than 1 month after publication and replaced with abstract of article, along with full citation
- Publisher's version/PDF may be used (not EOR version) on Institutional Repository only
- Institutional affiliation must be listed in article
- Publisher copyright must be acknowledged with set statement (see policy)
- Set statement to accompany each version deposited, e.g. for pre-print, authors post-print etc
- Must link to publisher version
- Classification green
Publications in this journal
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ABSTRACT: Several procedures are widely applied to estimate the atmospheric boundary layer (ABL) top height by using aerosols as tracers from lidar measurements. These methods represent different mathematical approaches, relying on either the abrupt step of the aerosol concentration between the ABL and the free troposphere (FT) or the statistical analysis of vertical variations of the aerosol concentration. An alternative method—the cluster analysis (CA)—has been applied to lidar measurements for the first time, emerging as a useful and robust approach for calculating the ABL height, taking the advantage of both previous variables: the vertical aerosol distribution as obtained from the lidar range-corrected signal (RCS) and the statistical analysis of the RCS profiles in terms of its variance to determine a region of high aerosol loading variability. CAlimitations under real situations are also tested, and the effects in ABL height determination of both noise and cloud contamination in RCS are examined. In particular, CA results are weakly sensitive to the signal noise due to the basic features of this statistical method. In addition, differences in the ABL top height, as estimated under cloudy and clear skies, have been found to be lower than 1.8%for a high RCS signal, while no effect is observed for low RCS cloud conditions. Moreover, the CA performance on the ABL top height determination for real cases is also presented, showing the reliable CA skills in reproducing the ABL evolution.Journal of Atmospheric and Oceanic Technology 02/2014; 31(2):422-436.
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ABSTRACT: The lower atmospheric wind profiles are obtained by Postset Beam Steering (PBS) technique on Middle and Upper (MU) atmospheric radar data. Capon beamformer is used to improve the beam synthesizing in desired directions within the radar transmit beam width. From a synthesized beam, the power spectrum is obtained by various spectral estimators such as Fourier, Multiple Signal Classification (MUSIC) and Eigenvector (EV). The wind vector components are derived from radial velocities estimated from the power spectra of synthesized beams. As the reliability of PBS wind estimate depends on the choice of spectral estimators, a detailed analysis is carried out to compare the performance of estimators in deriving wind profiles on the radar data. The results suggest that EV shows a better performance in deriving possible spectrum parameters and is useful for reliable wind profiling up to the lower stratosphere. The wind profiles derived by PBS with EV are more consistent with near time observations using GPS sonde and Doppler Beam Swinging (DBS) methods. The study also suggests that MUSIC cannot be useful to reliably estimate atmospheric spectrum parameters.Journal of Atmospheric and Oceanic Technology 02/2014;
- Journal of Atmospheric and Oceanic Technology 02/2014; 31(2):249.
- Journal of Atmospheric and Oceanic Technology 01/2014; 31(1):33-46.
- Journal of Atmospheric and Oceanic Technology 01/2014;
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.
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