Articles | Volume 7, issue 5
https://doi.org/10.5194/amt-7-1443-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-7-1443-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 May 2014
Research article |
| 23 May 2014
The backscatter cloud probe – a compact low-profile autonomous optical spectrometer
K. Beswick
University of Manchester, Manchester, UK
D. Baumgardner
Droplet Measurement Technologies, Boulder, CO, USA
M. Gallagher
University of Manchester, Manchester, UK
A. Volz-Thomas
Forschungszentrum Jülich GmbH, Institut für Energie und Klimaforschung 8: Troposphäre, 24525 Juelich, Germany
P. Nedelec
CNRS Laboratoire d'Aérologie, Univerity of Toulouse, Toulouse, France
K.-Y. Wang
Department of Atmospheric Sciences, National Central University, Chung-Li, Taiwan
S. Lance
Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
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- Measurement report: Impact of African aerosol particles on cloud evolution in a tropical montane cloud forest in the Caribbean E. Torres-Delgado et al. 10.5194/acp-21-18011-2021
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- Upper tropospheric water vapour and its interaction with cirrus clouds as seen from IAGOS long-term routine in situ observations A. Petzold et al. 10.1039/C7FD00006E
- Deep Convective Microphysics Experiment (DCMEX) coordinated aircraft and ground observations: microphysics, aerosol, and dynamics during cumulonimbus development D. Finney et al. 10.5194/essd-16-2141-2024
- Instrumentation on commercial aircraft for monitoring the atmospheric composition on a global scale: the IAGOS system, technical overview of ozone and carbon monoxide measurements P. Nédélec et al. 10.3402/tellusb.v67.27791
- A convolutional neural network for classifying cloud particles recorded by imaging probes G. Touloupas et al. 10.5194/amt-13-2219-2020
- A Review of Coastal Fog Microphysics During C-FOG I. Gultepe et al. 10.1007/s10546-021-00659-5
- In situ cloud ground-based measurements in the Finnish sub-Arctic: intercomparison of three cloud spectrometer setups K. Doulgeris et al. 10.5194/amt-13-5129-2020
- Design and field campaign validation of a multi-rotor unmanned aerial vehicle and optical particle counter J. Girdwood et al. 10.5194/amt-13-6613-2020
- Cloud Ice Properties: In Situ Measurement Challenges D. Baumgardner et al. 10.1175/AMSMONOGRAPHS-D-16-0011.1
- Modern and prospective technologies for weather modification activities: A look at integrating unmanned aircraft systems D. Axisa & T. DeFelice 10.1016/j.atmosres.2016.03.005
- Modern and prospective technologies for weather modification activities: Developing a framework for integrating autonomous unmanned aircraft systems T. DeFelice & D. Axisa 10.1016/j.atmosres.2017.04.024
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- High concentrations of ice crystals in upper-tropospheric tropical clouds: is there a link to biomass and fossil fuel combustion? G. Raga et al. 10.5194/acp-22-2269-2022
- Internal consistency of the IAGOS ozone and carbon monoxide measurements for the last 25 years R. Blot et al. 10.5194/amt-14-3935-2021
- Monitoring atmospheric composition and air quality using commercial aircraft - IAGOS H. Clark 10.1088/1755-1315/509/1/012008
- Venus Life Finder Habitability Mission: Motivation, Science Objectives, and Instrumentation S. Seager et al. 10.3390/aerospace9110733
- Technique for comparison of backscatter coefficients derived from in situ cloud probe measurements with concurrent airborne lidar S. Wagner & D. Delene 10.5194/amt-15-6447-2022
- Venus Life Finder Missions Motivation and Summary S. Seager et al. 10.3390/aerospace9070385
- A Review of High Impact Weather for Aviation Meteorology I. Gultepe et al. 10.1007/s00024-019-02168-6
- A comprehensive in situ and remote sensing data set collected during the HALO–(𝒜 𝒞)3 aircraft campaign A. Ehrlich et al. 10.5194/essd-17-1295-2025
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