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  • 1
    Online Resource
    Online Resource
    Wiley ; 2015
    In:  Quarterly Journal of the Royal Meteorological Society Vol. 141, No. 689 ( 2015-04), p. 1294-1305
    In: Quarterly Journal of the Royal Meteorological Society, Wiley, Vol. 141, No. 689 ( 2015-04), p. 1294-1305
    Abstract: Included in the Earth, Clouds, Aerosols, and Radiation Explorer ( EarthCARE ) satellite's array of instruments is a multi‐view broad‐band radiometer (BBR). BBR data will facilitate a radiative closure assessment of cloud and aerosol properties inferred from data gathered by EarthCARE 's other passive and active sensors. The closure assessment will consist, in part, of comparisons between BBR radiances and radiances computed by three‐dimensional (3D) radiative transfer models (RTM) that act on narrow 3D domains that derive from, and include, the retrieved cross‐section of cloud and aerosol properties. Assessment domains D will be ∼100 km 2 . Following a brief outline of the closure experiment, a method is proposed for estimating the likelihood of BBR radiances providing a meaningful closure assessment of cloud and aerosol properties in D . The method capitalizes on the ability of Monte Carlo RTMs to compute contributions to radiances from any constituent in any given D . While this methodology introduces some circularity into the closure test, it might, nevertheless, be tolerable, given that the method's purpose is simply to identify, and thus avoid, assessments that are likely to be fruitless or misleading. A 3000 km long stretch of A‐Train satellite data was used in this initial demonstration of the proposed methodology. Only results for solar radiation are shown. All radiative quantities used here were computed by a 3D Monte Carlo RTM. A control simulation provided proxy BBR measurements. Random ‘errors’ were introduced into the A‐Train field to produce experimental fields that roughly mimic retrievals. Experimental and control radiances were compared in mock‐closure assessments. Arbitrarily assuming that a fruitful assessment requires ∼75% of a BBR radiance to result from cloud and aerosol scattering events inside D , ∼70% of the (11 km) 2 domains were flagged as reliably testable for this example.
    Type of Medium: Online Resource
    ISSN: 0035-9009 , 1477-870X
    URL: Issue
    RVK:
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2015
    detail.hit.zdb_id: 3142-2
    detail.hit.zdb_id: 2089168-4
    SSG: 14
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    American Meteorological Society ; 2013
    In:  Journal of Climate Vol. 26, No. 23 ( 2013-12), p. 9415-9428
    In: Journal of Climate, American Meteorological Society, Vol. 26, No. 23 ( 2013-12), p. 9415-9428
    Abstract: The number of tornado observations in Canada is believed to be significantly lower than the actual occurrences. To account for this bias, the authors propose a Bayesian modeling approach founded upon the explicit consideration of the population sampling bias in tornado observations and the predictive relationship between cloud-to-ground (CG) lightning flash climatology and tornado occurrence. The latter variable was used as an indicator for quantifying convective storm activity, which is generally a precursor to tornado occurrence. The CG lightning data were generated from an 11-yr lightning climatology survey (1999–2009) from the Canadian Lightning Detection Network. The results suggest that the predictions of tornado occurrence in populated areas are fairly reliable with no profound underestimation bias. In sparsely populated areas, the analysis shows that the probability of tornado occurrence is significantly higher than what is represented in the 30-yr data record. Areas with low population density but high lightning flash density demonstrate the greatest discrepancy between predicted and observed tornado occurrence. A sensitivity analysis with various grid sizes was also conducted. It was found that the predictive statements supported by the model are fairly robust to the grid configuration, but the population density per grid cell is more representative to the actual population density at smaller resolution and therefore more accurately depicts the probability of tornado occurrence. Finally, a tornado probability map is calculated for Canada based on the frequency of tornado occurrence derived from the model and the estimated damage area of individual tornado events.
    Type of Medium: Online Resource
    ISSN: 0894-8755 , 1520-0442
    RVK:
    Language: English
    Publisher: American Meteorological Society
    Publication Date: 2013
    detail.hit.zdb_id: 246750-1
    detail.hit.zdb_id: 2021723-7
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