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Three-way calibration checks using ground-based, ship-based, and spaceborne radars.
- Source :
-
Atmospheric Measurement Techniques . 2022, Vol. 15 Issue 4, p915-926. 12p. - Publication Year :
- 2022
-
Abstract
- This study uses ship-based weather radar observations collected from research vessel Investigator to evaluate the Australian weather radar network calibration monitoring technique that uses spaceborne radar observations from the NASA Global Precipitation Mission (GPM). Quantitative operational applications such as rainfall and hail nowcasting require a calibration accuracy of ± 1 dB for radars of the Australian network covering capital cities. Seven ground-based radars along the western coast of Australia and the ship-based OceanPOL radar are first calibrated independently using GPM radar overpasses over a 3-month period. The calibration difference between the OceanPOL radar (used as a moving reference for the second step of the study) and each of the seven operational radars is then estimated using collocated, gridded, radar observations to quantify the accuracy of the GPM technique. For all seven radars the calibration difference with the ship radar lies within ± 0.5 dB, therefore fulfilling the 1 dB requirement. This result validates the concept of using the GPM spaceborne radar observations to calibrate national weather radar networks (provided that the spaceborne radar maintains a high calibration accuracy). The analysis of the day-to-day and hourly variability of calibration differences between the OceanPOL and Darwin (Berrimah) radars also demonstrates that quantitative comparisons of gridded radar observations can accurately track daily and hourly calibration differences between pairs of operational radars with overlapping coverage (daily and hourly standard deviations of ∼ 0.3 and ∼ 1 dB, respectively). [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18671381
- Volume :
- 15
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Atmospheric Measurement Techniques
- Publication Type :
- Academic Journal
- Accession number :
- 155628315
- Full Text :
- https://doi.org/10.5194/amt-15-915-2022