Articles | Volume 11, issue 17
https://doi.org/10.5194/acp-11-9207-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-11-9207-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Cloud base vertical velocity statistics: a comparison between an atmospheric mesoscale model and remote sensing observations
J. Tonttila
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Division of Atmospheric Sciences, Department of Physics, University of Helsinki, Helsinki, Finland
E. J. O'Connor
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Meteorology Department, University of Reading, Reading, UK
S. Niemelä
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
P. Räisänen
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
H. Järvinen
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
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17 citations as recorded by crossref.
- Development of two-moment cloud microphysics for liquid and ice within the NASA Goddard Earth Observing System Model (GEOS-5) D. Barahona et al. 10.5194/gmd-7-1733-2014
- Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
- Antigravity, an Answer to Nature’s Phenomena including the Expansion of the Universe C. Gamini Piyadasa 10.1155/2020/9315491
- Observing wind, aerosol particles, cloud and precipitation: Finland's new ground-based remote-sensing network A. Hirsikko et al. 10.5194/amt-7-1351-2014
- Analysis of the air quality in upper atmospheric boundary layer in a high-density city in Asia using 3-year vertical profiles measured by the 3-Dimensional Real-Time Atmospheric Monitoring System (3DREAMS) S. Yim & T. Huang 10.1016/j.scitotenv.2022.159137
- Employing airborne radiation and cloud microphysics observations to improve cloud representation in ICON at kilometer-scale resolution in the Arctic J. Kretzschmar et al. 10.5194/acp-20-13145-2020
- Investigations of vertical wind variations at a mountain top in the Himalaya using Doppler Lidar observations and model simulations K. Shukla et al. 10.1016/j.jastp.2018.12.011
- Cloud Characteristics and Their Effects on Solar Irradiance According to the ICON Model, CLOUDNET and BSRN Observations J. Shuvalova et al. 10.3390/atmos14121769
- Land–ocean differences in the warm‐rain formation process in satellite and ground‐based observations and model simulations H. Takahashi et al. 10.1002/qj.3042
- Regime‐Dependent Impacts of Aerosol Particles and Updrafts on the Cloud Condensation Nuclei and the Enhanced Warm Rain Suppression: Evidence From Synergistic Satellite and LiDAR Observations T. Huang et al. 10.1029/2021GL097315
- Diabatic Heating and Cooling Rates Derived from In Situ Microphysics Measurements: A Case Study of a Wintertime U.K. Cold Front C. Dearden et al. 10.1175/MWR-D-14-00048.1
- A depolarisation lidar-based method for the determination of liquid-cloud microphysical properties D. Donovan et al. 10.5194/amt-8-237-2015
- Impact of vertical air motions on ice formation rate in mixed-phase cloud layers J. Bühl et al. 10.1038/s41612-019-0092-6
- Characteristics of vertical air motion in isolated convective clouds J. Yang et al. 10.5194/acp-16-10159-2016
- Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives D. Grosvenor et al. 10.1029/2017RG000593
- Dynamics and microphysics in small developing cumulus clouds A. Khain et al. 10.1016/j.atmosres.2024.107454
- Parallel Developments and Formal Collaboration between European Atmospheric Profiling Observatories and the U.S. ARM Research Program M. Haeffelin et al. 10.1175/AMSMONOGRAPHS-D-15-0045.1
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