Search Results

You are looking at 1 - 5 of 5 items for :

  • Optical properties x
  • Precipitation Retrieval Algorithms for GPM x
  • All content x
Clear All
Mircea Grecu, William S. Olson, Stephen Joseph Munchak, Sarah Ringerud, Liang Liao, Ziad Haddad, Bartie L. Kelley, and Steven F. McLaughlin

differential Ku–Ka-band path-integrated attenuation. The Ku-band (13.6 GHz) reflectivity is not included in , as the Ku-band radar observations are used along with a Hitschfeld–Bordan radar profiling procedure ( Grecu et al. 2011 ) to reduce the dimension of . Nominally, the vector incorporates all parameters needed to describe the precipitation particle size distribution (PSD) in each range bin of the radar-observed vertical profile. The PSD is needed to describe the single-scattering properties of

Full access
Eun-Kyoung Seo, Sung-Dae Yang, Mircea Grecu, Geun-Hyeok Ryu, Guosheng Liu, Svetla Hristova-Veleva, Yoo-Jeong Noh, Ziad Haddad, and Jinho Shin

methodology, Biggerstaff and Seo (2010) investigated the differences between observed and simulated TBs and found large discrepancies due to deficiencies in cloud models. These deficiencies result in relationships between TBs and associated precipitation profiles that can be systematically different from those suggested by the TMI and PR observations. In brief, the databases exclusively based on the cloud model have statistical properties that do not exist in nature and, conversely, they do not have

Full access
Veljko Petković, Marko Orescanin, Pierre Kirstetter, Christian Kummerow, and Ralph Ferraro

1. Introduction and motivation Variability in precipitation typology affects vertical water and energy fluxes though the associated precipitation structure, dynamics, microphysical processes, and latent heat release. The distribution of convective and stratiform precipitation impacts Earth’s radiative properties and atmospheric circulation. While the differences in microphysical processes and dynamics in convective and stratiform systems are well documented in the literature (e.g., Houze 1997

Full access
Takuji Kubota, Toshio Iguchi, Masahiro Kojima, Liang Liao, Takeshi Masaki, Hiroshi Hanado, Robert Meneghini, and Riko Oki

grown. As such, corrections to the surface clutter caused by antenna sidelobes are imperative in order to achieve the sensitivity and accuracy required for estimating the microphysical properties of rain and snow from space. Figure 1 shows classification of surface clutter interference in the spaceborne radar when the satellite altitude is 407 km. As described in Tagawa et al. (2007) , surface clutter is divided into (i) the clutter-free region, (ii) the main lobe clutter region, and (iii) the

Full access
Robert Meneghini, Hyokyung Kim, Liang Liao, Jeffrey A. Jones, and John M. Kwiatkowski

0 (Ku), (middle) standard deviation of σ 0 (Ka), and (bottom) standard deviation of δσ 0 = [σ 0 (Ka) − σ 0 (Ku)]. Note the change of scale for (bottom). 4. Results a. Overpass example Before examining the statistical properties of the PIA estimates, it is instructive to present an overpass example. On 3 July 2014, the GPM satellite overflew Hurricane Arthur, located off the East Coast of the United States. Shown in Fig. 6 are the measured NRCS data from the Ku band (left panel) and Ka band

Full access