A method for estimating rain rate and drop size distribution from polarimetric radar measurements
By Guifu Zhang, Jothiram Vivekanandan, Edward Brandes. IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120), 2000
461 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/b90ffff555a7c08f486caca2c8e7d33dbd162f5e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Matthew R. Kumjian
- Guifu Zhang
- Edward Brandes
- Juanzhen Sun
- Ming Xue
- Jothiram Vivekanandan
- A. Seifert
- Qing Cao
In Environmental Engineering
- Matthew R. Kumjian
- Guifu Zhang
- Edward Brandes
- Juanzhen Sun
- Ming Xue
- A. Seifert
- Qing Cao
- Terry Schuur
Citations in the corpus
- Polarimetric Radar Estimators Based on a Constrained Gamma Drop Size Distribution Model (2004, methodology): “The limited video-disdrometer observations show that ZDR varies between 0 and 2.5 dB for rain rates between 5 and 80 mm h21 (Brandes et al. 2002; Zhang et al. 2001).”
- On the Parameterization of Evaporation of Raindrops as Simulated by a One-Dimensional Rainshaft Model (2008, methodology): “The latter difference might be due to the fact that the data of Zhang et al. (2001) contain mainly heavy convective events whereas the simulated data from the 1D bin model used here also includes light convective rain (drizzle), evaporating rain, or even stratiform situations.”
- Observations and Parameterizations of Particle Size Distributions in Deep Tropical Cirrus and Stratiform Precipitating Clouds: Results from In Situ Observations in TRMM Field Campaigns (2002, methodology): “The intercept ( N0G), slope (lG), and dispersion (m) values were derived for each PSD by matching three moments (Kozu and Nakamura 1991; Zhang et al. 2001 ).”
- Drop Size Distribution Retrieval with Polarimetric Radar: Model and Application (2004, methodology): “The retrieval technique used here, an adaptation of that proposed by Zhang et al. (2001), is based on measurements of radar reflectivity at horizontal polarization (ZH) and differential reflectivity (ZDR), and an empirical constraining relationship between the drop size distribution shape and slope…”
- Assimilation of Simulated Polarimetric Radar Data for a Convective Storm Using the Ensemble Kalman Filter. Part I: Observation Operators for Reflectivity and Polarimetric Variables (2008, methodology): “The specific differential phases for the rain, rain– snow aggregate mixture, dry snow aggregate, rain–hail mixture, and dry hail are calculated, following Zhang et al. (2001), from As above, the integral of (18) over DSD can be simplified for rain as in the following:”
- Improving Parameterization of Rain Microphysics with Disdrometer and Radar Observations (2006, background): “The discrete points are calculations from integrations of disdrometer measurements (Zhang et al. 2001; Brandes et al. 2003).”
- The Shape–Slope Relation in Observed Gamma Raindrop Size Distributions: Statistical Error or Useful Information? (2003, methodology): “L relation (2) is used, then two parameters can be determined from two measurements such as reflectivity and differential reflectivity (Zhang et al. 2001).”
- Diagnosing the Intercept Parameter for Exponential Raindrop Size Distribution Based on Video Disdrometer Observations: Model Development (2008, background): “67/ , the Thompson scheme yields a large (small) total number concentration for light (heavy) rain, which is not true in observations of summer rain events (Zhang et al. 2001).”
- Evaluation of a New Polarimetrically Based Z–R Relation (2004, result): “Note the expansion in terms of powers of bD (to second order) as opposed to past work where the scattering amplitudes have been expanded in powers of D only (Jameson 1989; Zhang et al. 2001).”
- Simulations of Polarimetric Radar Signatures of a Supercell Storm Using a Two-Moment Bulk Microphysics Scheme (2010, methodology): “…and vertical polarizations that are more exact than those in JZX08 by including the complex scattering amplitude in the calculations as follows (Zhang et al. 2001): Z h,x 5 4l4 p4jK w j2 ðDmax,x 0 fAj f a,x (p)j2 1 Bj f b,x (p)j2 1 2C Re[f a,x (p) f * b,x (p)]gn(D) dD (mm6 m 3) (3) and Z y,x 5…”
- Polarimetric Radar Rain Estimation through Retrieval of Drop Size Distribution Using a Bayesian Approach (2010, methodology): “Many empirical relations employing PRD—for example, R(ZH, ZDR), R(KDP), and R(ZH, ZDR, KDP)—have been reported previously in the literature (e.g., Brandes et al. 2003; Ryzhkov et al. 2005b; Lee 2006).”
- The Impact of Size Sorting on the Polarimetric Radar Variables (2012, background): “Disdrometer observations generally do not reveal a larger than about 15–20 (e.g., Zhang et al. 2001; Cao et al. 2008).”