Martin Lainer

Dr. Martin Lainer
Radar, Satellite and Nowcasting Division
MeteoSchweiz
Via ai Monti 146
CH-6601 Locarno
Switzerland


E-mail: martin.lainer(at)meteoswiss.ch


Key Publications of Martin Lainer (up to ten) :
Lainer, M., Brennan, K. P., Hering, A., Kopp, J., Monhart, S., Wolfensberger, D., and Germann, U.: Drone-based photogrammetry combined with deep-learning to estimate hail size distributions and melting of hail on the ground, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2023-89, in review, 2023.

Lainer, M., Figueras i Ventura, J., Schauwecker, Z., Gabella, M., F.-Bolaños, M., Pauli, R., and Grazioli, J.: Insights into wind turbine reflectivity and radar cross-section (RCS) and their variability using X-band weather radar observations, Atmos. Meas. Tech., 14, 3541–3560, https://doi.org/10.5194/amt-14-3541-2021, 2021.

Lainer, M., Hocke, K., Eckert, E., and Kämpfer, N.: Significant decline of mesospheric water vapor at the NDACC site near Bern in the period 2007 to 2018, Atmos. Chem. Phys., 19, 6611–6620, https://doi.org/10.5194/acp-19-6611-2019, 2019.

Lainer, M., Hocke, K., and Kämpfer, N.: Long-term observation of midlatitude quasi 2-day waves by a water vapor radiometer, Atmos. Chem. Phys., 18, 12061-12074, https://doi.org/10.5194/acp-18-12061-2018, 2018.

Lainer, M., Hocke, K., Rüfenacht, R., and Kämpfer, N.: Quasi 18h wave activity in ground-based observed mesospheric H2O over Bern, Switzerland, Atmos. Chem. Phys., 17, 14905-14917, https://doi.org/10.5194/acp-17-14905-2017, 2017.

Lainer, M., Hocke, K., & Kämpfer, N.: Variability of mesospheric water vapor above Bern in relation to the 27-day solar rotation cycle, Journal of atmospheric and solar-terrestrial physics, 143, 71-87, 2016.

Lainer, M., Kämpfer, N., Tschanz, B., Nedoluha, G. E., Ka, S., and Oh, J. J.: Trajectory mapping of middle atmospheric water vapor by a mini network of NDACC instruments, Atmos. Chem. Phys., 15, 9711-9730, https://doi.org/10.5194/acp-15-9711-2015, 2015.


Expertise of Martin Lainer:
Expertise CategorySpecific Expertise
Expert TypeExpert Type
Scientific / Fundamental Research
Applied Sciences / Technologies / Engineering
Topic AtmosphereAtmosphere
Meteorology
Climate
Spatial ZonesSpatial Zones
Mountain / Highland
Statistical FocusStatistical Focus
Extreme Events
Mean Change / Trends
Variability
MethodsMethod
Data Collection - Measurement
Data Analysis
Applied Research / Technology

Last update: 11/29/23
Source of data: ProClim- Research InfoSystem (1993-2024)
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