Uncertainties in Profiler and Polarimetric DSD Estimates and Their Relation to Rainfall Uncertainties
Polarimetric weather radars offer the promise of accurate rainfall measurements by including polarimetric measurements in rainfall estimation algorithms. Questions still remain on how accurately polarimetric measurements represent the parameters of the raindrop size distribution (DSD). In particular...
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| Veröffentlicht in: | Journal of atmospheric and oceanic technology 2008-10, Vol.25 (10), p.1881-1887 |
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| creator | Williams, Christopher R May, Peter T |
| description | Polarimetric weather radars offer the promise of accurate rainfall measurements by including polarimetric measurements in rainfall estimation algorithms. Questions still remain on how accurately polarimetric measurements represent the parameters of the raindrop size distribution (DSD). In particular, this study propagates polarimetric radar measurement uncertainties through a power-law median raindrop diameter D0 algorithm to quantify the statistical uncertainties of the power-law regression. For this study, the power-law statistical uncertainty of D0 ranged from 0.11 to 0.17 mm. Also, the polarimetric scanning radar D0 estimates were compared with the median raindrop diameters retrieved from two vertically pointing profilers observing the same radar volume as the scanning radar. Based on over 900 observations, the standard deviation of the differences between the two radar estimates was approximately 0.16 mm. Thus, propagating polarimetric measurement uncertainties through D0 power-law regressions is comparable to uncertainties between polarimeteric and profiler D0 estimates. |
| doi_str_mv | 10.1175/2008JTECHA1038.1 |
| format | Article |
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Thus, propagating polarimetric measurement uncertainties through D0 power-law regressions is comparable to uncertainties between polarimeteric and profiler D0 estimates.</description><subject>Algorithms</subject><subject>Estimates</subject><subject>Legislation</subject><subject>Measurement errors</subject><subject>Meteorology</subject><subject>Radar</subject><subject>Rainfall measurement</subject><subject>Research methodology</subject><subject>Standard deviation</subject><subject>Studies</subject><issn>0739-0572</issn><issn>1520-0426</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqF0T1PwzAQBmALgUQp7IwWA0wpd_6KPaJSvlSJqpQ5coIjjNKk2O7Av8cIljLAdNLdo1e6O0JOESaIpbxkAPphNZveXSFwPcE9MkLJoADB1D4ZQclNAbJkh-QoxjcAQI5qRNxz37iQrO-Td5H6ni7C0PrOBWr7F7oYOhv82qXgG3r9dE1nMfm1TZl-jVevzge6dJ1NfuhpGugyJ7W26-hO7jE5yM3oTn7qmKxuZqvpXTF_vL2fXs2LRoBKhSpNU0r-YuvaOteWAKyumTBWawPIWsd5KwUqraysla4llkY3TmgLxtqGj8nFd-wmDO9bF1O19rFxXWd7N2xjVQqelxbCZHn-p2TIhVZc_gvRcASmeIZnv-DbsA193rZijEk0SrCM4Bs1YYgxuLba5Ova8FEhVF9vrHbfWCH_BGHRj50</recordid><startdate>20081001</startdate><enddate>20081001</enddate><creator>Williams, Christopher R</creator><creator>May, Peter T</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>H95</scope></search><sort><creationdate>20081001</creationdate><title>Uncertainties in Profiler and Polarimetric DSD Estimates and Their Relation to Rainfall Uncertainties</title><author>Williams, Christopher R ; 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Questions still remain on how accurately polarimetric measurements represent the parameters of the raindrop size distribution (DSD). In particular, this study propagates polarimetric radar measurement uncertainties through a power-law median raindrop diameter D0 algorithm to quantify the statistical uncertainties of the power-law regression. For this study, the power-law statistical uncertainty of D0 ranged from 0.11 to 0.17 mm. Also, the polarimetric scanning radar D0 estimates were compared with the median raindrop diameters retrieved from two vertically pointing profilers observing the same radar volume as the scanning radar. Based on over 900 observations, the standard deviation of the differences between the two radar estimates was approximately 0.16 mm. Thus, propagating polarimetric measurement uncertainties through D0 power-law regressions is comparable to uncertainties between polarimeteric and profiler D0 estimates.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/2008JTECHA1038.1</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| source | American Meteorological Society; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Algorithms Estimates Legislation Measurement errors Meteorology Radar Rainfall measurement Research methodology Standard deviation Studies |
| title | Uncertainties in Profiler and Polarimetric DSD Estimates and Their Relation to Rainfall Uncertainties |
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