Measuring Hydrometeors with a Precipitation Microphysical Characteristics Sensor: Calibration and Field Measurements
Aiming at the simultaneous measurement of the size, shape, and fall velocity of precipitation particles in the natural environment, we present here a new ground-based precipitation microphysical characteristics sensor (PMCS) based on the particle imaging velocimetry technology. The PMCS can capture...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2017/3049792 |
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| _version_ | 1832559819935973376 |
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| author | Yuntao Hu Xichuan Liu Taichang Gao Xiaojian Shu |
| author_facet | Yuntao Hu Xichuan Liu Taichang Gao Xiaojian Shu |
| author_sort | Yuntao Hu |
| collection | DOAJ |
| description | Aiming at the simultaneous measurement of the size, shape, and fall velocity of precipitation particles in the natural environment, we present here a new ground-based precipitation microphysical characteristics sensor (PMCS) based on the particle imaging velocimetry technology. The PMCS can capture autocorrelated images of precipitation particles by double-exposure in one frame, by which the size, axis ratio, and fall velocity of precipitation particles can be calculated. The PMCS is calibrated by a series of glass balls with certain diameters under varying light conditions, and a self-adaptive threshold method is proposed. The shape, axis ratio, and fall velocity of raindrops were calculated and discussed based on the field measurement results of PMCS. The typical shape of large raindrop is an oblate ellipsoid, the axis ratio of raindrops decreases linearly with the diameter, the fall velocity of raindrops approaches its asymptote, and the above observed results are in good agreement with the empirical models; the synchronous observation of a PMCS, an OTT PARSIVEL disdrometer, and a rain gauge shows that the PMCS is able to measure the rain intensity, accumulated rainfall, and drop size distribution with high accuracy. These results have validated the performance of PMCS. |
| format | Article |
| id | doaj-art-39671e37b4424b38bb2320fc1bea4f58 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-39671e37b4424b38bb2320fc1bea4f582025-02-03T01:29:08ZengWileyAdvances in Meteorology1687-93091687-93172017-01-01201710.1155/2017/30497923049792Measuring Hydrometeors with a Precipitation Microphysical Characteristics Sensor: Calibration and Field MeasurementsYuntao Hu0Xichuan Liu1Taichang Gao2Xiaojian Shu3College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing, ChinaCollege of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing, ChinaCollege of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing, ChinaCollege of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing, ChinaAiming at the simultaneous measurement of the size, shape, and fall velocity of precipitation particles in the natural environment, we present here a new ground-based precipitation microphysical characteristics sensor (PMCS) based on the particle imaging velocimetry technology. The PMCS can capture autocorrelated images of precipitation particles by double-exposure in one frame, by which the size, axis ratio, and fall velocity of precipitation particles can be calculated. The PMCS is calibrated by a series of glass balls with certain diameters under varying light conditions, and a self-adaptive threshold method is proposed. The shape, axis ratio, and fall velocity of raindrops were calculated and discussed based on the field measurement results of PMCS. The typical shape of large raindrop is an oblate ellipsoid, the axis ratio of raindrops decreases linearly with the diameter, the fall velocity of raindrops approaches its asymptote, and the above observed results are in good agreement with the empirical models; the synchronous observation of a PMCS, an OTT PARSIVEL disdrometer, and a rain gauge shows that the PMCS is able to measure the rain intensity, accumulated rainfall, and drop size distribution with high accuracy. These results have validated the performance of PMCS.http://dx.doi.org/10.1155/2017/3049792 |
| spellingShingle | Yuntao Hu Xichuan Liu Taichang Gao Xiaojian Shu Measuring Hydrometeors with a Precipitation Microphysical Characteristics Sensor: Calibration and Field Measurements Advances in Meteorology |
| title | Measuring Hydrometeors with a Precipitation Microphysical Characteristics Sensor: Calibration and Field Measurements |
| title_full | Measuring Hydrometeors with a Precipitation Microphysical Characteristics Sensor: Calibration and Field Measurements |
| title_fullStr | Measuring Hydrometeors with a Precipitation Microphysical Characteristics Sensor: Calibration and Field Measurements |
| title_full_unstemmed | Measuring Hydrometeors with a Precipitation Microphysical Characteristics Sensor: Calibration and Field Measurements |
| title_short | Measuring Hydrometeors with a Precipitation Microphysical Characteristics Sensor: Calibration and Field Measurements |
| title_sort | measuring hydrometeors with a precipitation microphysical characteristics sensor calibration and field measurements |
| url | http://dx.doi.org/10.1155/2017/3049792 |
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