Articles | Volume 23, issue 11
https://doi.org/10.5194/hess-23-4737-2019
https://doi.org/10.5194/hess-23-4737-2019
Research article
 | 
19 Nov 2019
Research article |  | 19 Nov 2019

Effect of disdrometer type on rain drop size distribution characterisation: a new dataset for south-eastern Australia

Adrien Guyot, Jayaram Pudashine, Alain Protat, Remko Uijlenhoet, Valentijn R. N. Pauwels, Alan Seed, and Jeffrey P. Walker

Related authors

Supercooled liquid water cloud classification using lidar backscatter peak properties
Luke Edgar Whitehead, Adrian James McDonald, and Adrien Guyot
Atmos. Meas. Tech., 17, 5765–5784, https://doi.org/10.5194/amt-17-5765-2024,https://doi.org/10.5194/amt-17-5765-2024, 2024
Short summary
Segmentation of polarimetric radar imagery using statistical texture
Adrien Guyot, Jordan P. Brook, Alain Protat, Kathryn Turner, Joshua Soderholm, Nicholas F. McCarthy, and Hamish McGowan
Atmos. Meas. Tech., 16, 4571–4588, https://doi.org/10.5194/amt-16-4571-2023,https://doi.org/10.5194/amt-16-4571-2023, 2023
Short summary
Detection of supercooled liquid water containing clouds with ceilometers: development and evaluation of deterministic and data-driven retrievals
Adrien Guyot, Alain Protat, Simon P. Alexander, Andrew R. Klekociuk, Peter Kuma, and Adrian McDonald
Atmos. Meas. Tech., 15, 3663–3681, https://doi.org/10.5194/amt-15-3663-2022,https://doi.org/10.5194/amt-15-3663-2022, 2022
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Instruments and observation techniques
An intercomparison of four gridded precipitation products over Europe using an extension of the three-cornered-hat method
Llorenç Lledó, Thomas Haiden, and Matthieu Chevallier
Hydrol. Earth Syst. Sci., 28, 5149–5162, https://doi.org/10.5194/hess-28-5149-2024,https://doi.org/10.5194/hess-28-5149-2024, 2024
Short summary
Technical note: A simple feedforward artificial neural network for high-temporal-resolution rain event detection using signal attenuation from commercial microwave links
Erlend Øydvin, Maximilian Graf, Christian Chwala, Mareile Astrid Wolff, Nils-Otto Kitterød, and Vegard Nilsen
Hydrol. Earth Syst. Sci., 28, 5163–5171, https://doi.org/10.5194/hess-28-5163-2024,https://doi.org/10.5194/hess-28-5163-2024, 2024
Short summary
Technical note: A guide to using three open-source quality control algorithms for rainfall data from personal weather stations
Abbas El Hachem, Jochen Seidel, Tess O'Hara, Roberto Villalobos Herrera, Aart Overeem, Remko Uijlenhoet, András Bárdossy, and Lotte de Vos
Hydrol. Earth Syst. Sci., 28, 4715–4731, https://doi.org/10.5194/hess-28-4715-2024,https://doi.org/10.5194/hess-28-4715-2024, 2024
Short summary
Technical note: Investigating the potential for smartphone-based monitoring of evapotranspiration and land surface energy-balance partitioning
Adriaan J. Teuling, Belle Holthuis, and Jasper F. D. Lammers
Hydrol. Earth Syst. Sci., 28, 3799–3806, https://doi.org/10.5194/hess-28-3799-2024,https://doi.org/10.5194/hess-28-3799-2024, 2024
Short summary
Exploring patterns in precipitation intensity–duration–area–frequency relationships using weather radar data
Talia Rosin, Francesco Marra, and Efrat Morin
Hydrol. Earth Syst. Sci., 28, 3549–3566, https://doi.org/10.5194/hess-28-3549-2024,https://doi.org/10.5194/hess-28-3549-2024, 2024
Short summary

Cited articles

Adirosi, E., Roberto, N., Montopoli, M., Gorgucci, E., and Baldini, L.: Influence of Disdrometer Type on Weather Radar Algorithms from Measured DSD: Application to Italian Climatology, Atmosphere, 9, 360, https://doi.org/10.3390/atmos9090360, 2018. 
Angulo-Martínez, M., Beguería, S., Latorre, B., and Fernández-Raga, M.: Comparison of precipitation measurements by OTT Parsivel2 and Thies LPM optical disdrometers, Hydrol. Earth Syst. Sci., 22, 2811–2837, https://doi.org/10.5194/hess-22-2811-2018, 2018. 
Atlas, D., Srivastava, R. C., and Sekhon, R. S.: Doppler radar characteristics of precipitation at vertical incidence, Rev. Geophys., 11, 1–35, https://doi.org/10.1029/RG011i001p00001, 1973. 
Battaglia, A., Rustemeier, E., Tokay, A., Blahak, U., and Simmer, C.: PARSIVEL Snow Observations: A Critical Assessment, J. Atmos. Ocean. Tech., 27, 333–344, https://doi.org/10.1175/2009JTECHA1332.1, 2010. 
Baumgardner, D., Kok, G., Dawson, W., O'Connor, D., and Newton, R.: A new groundbased precipitation spectrometer: The Meteorological Particle Sensor (MPS), in: 11th Conf. on Cloud Physics, Ogden, UT, Amer. Meteor. Soc., 8.6, available at: https://ams.confex.com/ams/pdfpapers/ 41834.pdf (last access: 17 November 2019), 2002. 
Download
Short summary
We characterised for the first time the rainfall microphysics for Southern Hemisphere temperate latitudes. Co-located instruments were deployed to provide information on the sampling effect and spatio-temporal variabilities at micro scales. Substantial differences were found across the instruments, increasing with increasing values of the rain rate. Specific relations for reflectivity–rainfall are presented together with related uncertainties for drizzle and stratiform and convective rainfall.