Articles | Volume 6, issue 7
Atmos. Meas. Tech., 6, 1585–1595, 2013
https://doi.org/10.5194/amt-6-1585-2013
Atmos. Meas. Tech., 6, 1585–1595, 2013
https://doi.org/10.5194/amt-6-1585-2013

Research article 02 Jul 2013

Research article | 02 Jul 2013

A comparison of rainfall measurements from multiple instruments

X. C. Liu et al.

Related authors

A video precipitation sensor for imaging and velocimetry of hydrometeors
X. C. Liu, T. C. Gao, and L. Liu
Atmos. Meas. Tech., 7, 2037–2046, https://doi.org/10.5194/amt-7-2037-2014,https://doi.org/10.5194/amt-7-2037-2014, 2014
Effect of sampling variation on error of rainfall variables measured by optical disdrometer
X. C. Liu, T. C. Gao, and L. Liu
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amtd-5-8895-2012,https://doi.org/10.5194/amtd-5-8895-2012, 2012
Revised manuscript not accepted

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: In Situ Measurement | Topic: Validation and Intercomparisons
Smartphone pressure data: quality control and impact on atmospheric analysis
Rumeng Li, Qinghong Zhang, Juanzhen Sun, Yun Chen, Lili Ding, and Tian Wang
Atmos. Meas. Tech., 14, 785–801, https://doi.org/10.5194/amt-14-785-2021,https://doi.org/10.5194/amt-14-785-2021, 2021
Short summary
Validation of Aeolus winds using radiosonde observations and NWP model equivalents
Anne Martin, Martin Weissmann, Oliver Reitebuch, Michael Rennie, Alexander Geiß, and Alexander Cress
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-404,https://doi.org/10.5194/amt-2020-404, 2020
Preprint under review for AMT
Short summary
Automated precipitation monitoring with the Thies disdrometer: biases and ways for improvement
Michael Fehlmann, Mario Rohrer, Annakaisa von Lerber, and Markus Stoffel
Atmos. Meas. Tech., 13, 4683–4698, https://doi.org/10.5194/amt-13-4683-2020,https://doi.org/10.5194/amt-13-4683-2020, 2020
Short summary
More science with less: evaluation of a 3D-printed weather station
Adam Theisen, Max Ungar, Bryan Sheridan, and Bradley G. Illston
Atmos. Meas. Tech., 13, 4699–4713, https://doi.org/10.5194/amt-13-4699-2020,https://doi.org/10.5194/amt-13-4699-2020, 2020
Short summary
Characteristics and performance of wind profiles as observed by the radar wind profiler network of China
Boming Liu, Jianping Guo, Wei Gong, Lijuan Shi, Yong Zhang, and Yingying Ma
Atmos. Meas. Tech., 13, 4589–4600, https://doi.org/10.5194/amt-13-4589-2020,https://doi.org/10.5194/amt-13-4589-2020, 2020
Short summary

Cited articles

Baquero, M., Cruz-Pal, S., Bringi, V. N., and Chandrasekar, V.: Rain-Rate Estimate Algorithm Evaluation and Rainfall Characterization in Tropical Environments Using 2DVD, Rain Gauges and TRMM data, Geoscience and Remote Sensing Symposium, IGARSS '05. Proceedings, Seoul, Korea, 1146–1149, 2005.
Battaglia, A., Rustemeier, E., Tokay, A., Blahak, U., and Simmer, C.: PARSIVEL Snow Observations: A Critical Assessment, J. Atmos. Ocean. Tech., 27, 333–344, 2010.
Caracciolo, C., Natali, S., Prodi, F., and Tagliavini, A.: Comparison of two disdrometers based on different principles, 27th EGS Conference, Nice (France), 2002,
Carbone, R. E. and Nelson, L. D.: The evolution of raindrop spectra in warm-based convective storms as observed and numerically modelled, J. Atmos. Sci., 35, 2302–2314, 1978.
Chandrasekar, V. and Gori, E. G.: Multiple Disdrometer Observations of Rainfall, J. Appl. Meteorol., 30, 1514–1518, 1991.
Download