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Bayesian Echo Classification for Australian Single-Polarization Weather Radar with Application to Assimilation of Radial Velocity Observations

Source: Journal of Atmospheric and Oceanic Technology:;2015:;volume( 032 ):;issue: 007:;page 1341

Author(s): Rennie, S. J.; Curtis, M.; Peter, J.; Seed, A. W.; Steinle, P. J.; Wen, G.

Publisher: American Meteorological Society

Abstract: he Australian Bureau of Meteorology?s operational weather radar network comprises a heterogeneous radar collection covering diverse geography and climate. A naïve Bayes classifier has been developed to identify a range of ...

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Aerosol Properties in Cloudy Environments from Remote Sensing Observations: A Review of the Current State of Knowledge

Source: Bulletin of the American Meteorological Society:;2021:;volume( 102 ):;issue: 011

Author(s): Marshak, A.;Ackerman, A.;da Silva, A. M.;Eck, T.;Holben, B.;Kahn, R.;Kleidman, R.;Knobelspiesse, K.;Levy, R.;Lyapustin, A.;Oreopoulos, L.;Remer, L.;Torres, O.;Várnai, T.;Wen, G.;Yorks, J.

Publisher: American Meteorological Society

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Bayesian Echo Classification for Australian Single-Polarization Weather Radar with Application to Assimilation of Radial Velocity Observations

Aerosol Properties in Cloudy Environments from Remote Sensing Observations: A Review of the Current State of Knowledge

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Bayesian Echo Classification for Australian Single-Polarization Weather Radar with Application to Assimilation of Radial Velocity Observations

Aerosol Properties in Cloudy Environments from Remote Sensing Observations: A Review of the Current State of Knowledge