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Development of Algorithm for Discriminating Hydrometeor Particle Types with a Synergistic Use of CloudSat and CALIPSO
We developed a method for classifying hydrometeor particle types, including cloud and precipitation phase and ice crystal habit, by a synergistic use of CloudSat/Cloud Profiling Radar (CPR) and Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO)/Cloud-Aerosol LIdar with Orth...
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| Gepubliceerd in: | J Geophys Res Atmos |
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| Hoofdauteurs: | , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7430508/ https://ncbi.nlm.nih.gov/pubmed/32818127 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/2017JD027113 |
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