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 factor 1.82
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- 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 website or e-prints server
- On Institutional Repository after 6 months embargo
- Author's Post-print (accepted version) must be removed no later than 1 months 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
- Journal of Atmospheric and Oceanic Technology 01/2015;
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ABSTRACT: A recent study showed that the ratio of the number of distribution functions derived from 2D cloud probes (2DCs) with standard tips to those with antishatter tips used during the 2008 Indirect and Semidirect Aerosol Campaign (ISDAC) and Instrumentation Development and Education in Airborne Science 2011 (IDEAS-2011) was greater than 1 for ice crystals with maximum dimension D < 500 μm. To assess the applicability of 2DC data obtained without antishatter tips previously used in parameterization schemes for numerical models and remote sensing retrievals, the impacts of artifacts on bulk microphysical and scattering properties were examined by quantifying differences between such properties derived from 2DCs with standard and antishatter tips, and with and without the use of shatter detection algorithms using the ISDAC and IDEAS-2011 data. Using either modified tips or algorithms changed the quantities dominated by higher-order moments, such as ice water content, bulk extinction, effective radius, mass-weighted terminal velocity, median mass diameter, asymmetry parameter, and single-scatter albedo, at wavenumbers from 5 to 100 cm−1 and wavelengths of 0.5–5 μm by less than 20%. This is significantly less than the fractional changes quantities dominated by lower-order moments, such as number concentration. The results suggest that model parameterizations and remote sensing techniques based on higher-order moments of ice particle size distributions obtained in conditions similar to those sampled during IDEAS-2011 and ISDAC derived from 2DCs are not substantially biased by shattered remnants.Journal of Atmospheric and Oceanic Technology 10/2014; 31(10):2131-2144.
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ABSTRACT: Correction factors (Cf ) are derived for ice-crystal volume and effective radius (Re) measured by the FSSP (Forward Scattering Spectrometer Probe) and PVM (Particulate Volume Monitor) probes that are known to overestimate both parameters for non-spherical particles. Cf are based on ice-crystal volume and projected area of randomly-oriented model ice crystals with column, rosette, capped-column, and dendrite habits described by Takano and Liou (1995). In addition Cf are calculated for oblate and prolate spheroids. To test Cf both probes are compared to small predominately solid hexagonal ice- crystal plates and columns generated in the CSU (Colorado State University) DCC (Dynamic Cloud Chamber). The tendency of heat released by the PVM (placed inside the chamber) to evaporate ice crystals, and the smaller upper size range of the PVM than the size range of the FSSP caused large differences in the probes’ outputs for most of comparisons in the DCC. Cf improved the accuracy of Re measured by the FSSP for the solid hexagonal crystals, and both probes produced similar results for projected area and ice water content when crystal sizes fell within the probes’ size ranges. The modification for minimizing ice-crystal shattering and the application of Cf for forward-scatter probes such as the FSSP suggests the probes’ improved usefulness for measuring small ambient ice crystalsJournal of Atmospheric and Oceanic Technology 10/2014; 31:2145.
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ABSTRACT: Two-dimensional water vapor fields were retrieved by simulated measurements from multiple ground-based microwave radiometers using a tomographic approach. The goal of this paper was to investigate how the various aspects of the instrument set-up (number and spacing of elevation angles and of instruments, number of frequencies, etc.) affected the quality of the retrieved field. This was done for two simulated atmospheric water vapor fields: 1) an exaggerated turbulent boundary layer and 2) a simplified water vapor front. An optimal estimation algorithm was used to obtain the tomographic field from the microwave radiometers and evaluate the fidelity and information content of this retrieved field. While the retrieval of the simplified front was reasonably successful, the retrieval could not reproduce the details of the turbulent boundary layer field even using up to 9 instruments and 25 elevation angles. In addition, the vertical profile of the variability of the water vapor field could not be captured. An additional set of tests was performed using simulated data from a Raman lidar. Even with the detailed lidar measurements, the retrieval did not succeed except when the lidar data was used to define the a priori covariance matrix. This suggests that the main limitation to obtaining fine structures in a retrieved field using tomographic retrievals is the definition of the a priori covariance matrix.Journal of Atmospheric and Oceanic Technology 10/2014;
- Journal of Atmospheric and Oceanic Technology 08/2014;
- Journal of Atmospheric and Oceanic Technology 07/2014; 31(7):1583-1600.
- Journal of Atmospheric and Oceanic Technology 06/2014; 31(6):1434-1445.
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.