Abstract
The introduction of differential reflectivity (Zdr) and propagation differential phase (Πdp) was originally intended for improving radar estimates of rainfall rate. These parameters together with the effective reflectivity factor (Zh) proved to be very useful for other applications as well. They have been shown to produce significant improvements over conventional single polarization radars in discriminating liquid and ice phase hydrometeors and, with the aid of several other Polarimetrie parameters (linear depolarization ratio and copolar correlation coefficient), for classifying different hydrometeor types. Radar techniques developed for these purposes are being used in research applications and will soon become operational tools. The classification of ice phase hydrometeors and the quantitative estimation of their bulk parameters (e.g., median size, ice mass content, etc.) are necessary for better understanding storms and clouds. As methodologies are developed for extracting more information about hydrometeors using Polarimetric radars, it becomes increasingly important to model the hydrometeors more accurately. Their shape, size, fall behavior, and composition must be represented with sufficient detail, capturing the dominant features that influence the measured radar parameters. This paper reviews developments in hydrometeor modeling for dual-polarization radar remote sensing applications. The use of these modeling results in various applications such as rainfall rate estimation and hydrometeor classification are illustrated with the aid of experimental measurements. The first application of the "self- consistency" principle is discussed using dual-frequency Polarimetric radar parameters (S-band Zh and Zdr with X-band Zh and specific attenuation Ah).
| Original language | English (US) |
|---|---|
| Title of host publication | 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS |
| Number of pages | 1 |
| DOIs | |
| State | Published - Dec 1 2006 |
| Event | 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS - Denver, CO, United States Duration: Jul 31 2006 → Aug 4 2006 |
Other
| Other | 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS |
|---|---|
| Country | United States |
| City | Denver, CO |
| Period | 7/31/06 → 8/4/06 |
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All Science Journal Classification (ASJC) codes
- Software
- Geology
Cite this
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Scattering and propagation of polarimetric radar signals in storms and clouds. / Aydin, Kultegin.
2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. 2006. 4241579.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Scattering and propagation of polarimetric radar signals in storms and clouds
AU - Aydin, Kultegin
PY - 2006/12/1
Y1 - 2006/12/1
N2 - The introduction of differential reflectivity (Zdr) and propagation differential phase (Πdp) was originally intended for improving radar estimates of rainfall rate. These parameters together with the effective reflectivity factor (Zh) proved to be very useful for other applications as well. They have been shown to produce significant improvements over conventional single polarization radars in discriminating liquid and ice phase hydrometeors and, with the aid of several other Polarimetrie parameters (linear depolarization ratio and copolar correlation coefficient), for classifying different hydrometeor types. Radar techniques developed for these purposes are being used in research applications and will soon become operational tools. The classification of ice phase hydrometeors and the quantitative estimation of their bulk parameters (e.g., median size, ice mass content, etc.) are necessary for better understanding storms and clouds. As methodologies are developed for extracting more information about hydrometeors using Polarimetric radars, it becomes increasingly important to model the hydrometeors more accurately. Their shape, size, fall behavior, and composition must be represented with sufficient detail, capturing the dominant features that influence the measured radar parameters. This paper reviews developments in hydrometeor modeling for dual-polarization radar remote sensing applications. The use of these modeling results in various applications such as rainfall rate estimation and hydrometeor classification are illustrated with the aid of experimental measurements. The first application of the "self- consistency" principle is discussed using dual-frequency Polarimetric radar parameters (S-band Zh and Zdr with X-band Zh and specific attenuation Ah).
AB - The introduction of differential reflectivity (Zdr) and propagation differential phase (Πdp) was originally intended for improving radar estimates of rainfall rate. These parameters together with the effective reflectivity factor (Zh) proved to be very useful for other applications as well. They have been shown to produce significant improvements over conventional single polarization radars in discriminating liquid and ice phase hydrometeors and, with the aid of several other Polarimetrie parameters (linear depolarization ratio and copolar correlation coefficient), for classifying different hydrometeor types. Radar techniques developed for these purposes are being used in research applications and will soon become operational tools. The classification of ice phase hydrometeors and the quantitative estimation of their bulk parameters (e.g., median size, ice mass content, etc.) are necessary for better understanding storms and clouds. As methodologies are developed for extracting more information about hydrometeors using Polarimetric radars, it becomes increasingly important to model the hydrometeors more accurately. Their shape, size, fall behavior, and composition must be represented with sufficient detail, capturing the dominant features that influence the measured radar parameters. This paper reviews developments in hydrometeor modeling for dual-polarization radar remote sensing applications. The use of these modeling results in various applications such as rainfall rate estimation and hydrometeor classification are illustrated with the aid of experimental measurements. The first application of the "self- consistency" principle is discussed using dual-frequency Polarimetric radar parameters (S-band Zh and Zdr with X-band Zh and specific attenuation Ah).
UR - http://www.scopus.com/inward/record.url?scp=34948813988&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34948813988&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2006.432
DO - 10.1109/IGARSS.2006.432
M3 - Conference contribution
AN - SCOPUS:34948813988
SN - 0780395107
SN - 9780780395107
BT - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
ER -