Reply on RC1 Article Swipe
Abstract. Upon a new measurement technique, it is possible to sharpen the determination of microphysical properties of cloud droplets using high resolving power imaging. The shape, size, and position of each particle inside a well-defined, three-dimensional sample volume can be measured with holographic methods without assumptions of particle properties. In situ cloud measurements were carried out at the Puijo station in Kuopio, Finland, focusing on intercomparisons between cloud droplet analyzers over 2 months in SeptemberâNovember 2020. The novel holographic imaging instrument (ICEMET) was adapted to measure microphysical properties of liquid clouds, and these values were compared with parallel measurements of a cloud droplet spectrometer (FM-120) and particle measurements using a twin-inlet system. When the intercomparison was carried out during isoaxial sampling, our results showed good agreement in terms of variability between the instruments, with the averaged ratios between ICEMET and FM-120 being 0.6â±â0.2, 1.0â±â0.5, and 1.2â±â0.2 for the total number concentration (Nd) of droplets, liquid water content (LWC), and median volume diameter (MVD), respectively. This agreement during isoaxial sampling was also confirmed by mutual correlation and Pearson correlation coefficients. The ICEMET-observed LWC was more reliable than FM-120 (without a swivel-head mount), which was verified by comparing the estimated LWC to measured values, whereas the twin-inlet DMPS system and FM-120 observations of Nd showed good agreement both in variability and amplitude. Field data revealed that ICEMET can detect small cloud droplets down to 5âµm via geometric magnification.
Related Topics
Concepts
Span (engineering)
Volume (thermodynamics)
Particle (ecology)
Sampling (signal processing)
Liquid water content
Analytical Chemistry (journal)
Meteorology
Materials science
Physics
Environmental science
Mathematics
Optics
Chemistry
Cloud computing
Thermodynamics
Geology
Chromatography
Computer science
Engineering
Structural engineering
Operating system
Oceanography
Detector
Metadata
- Type
- peer-review
- Language
- en
- Landing Page
- https://doi.org/10.5194/amt-2021-423-ac1
- OA Status
- gold
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4225777572
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4225777572Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5194/amt-2021-423-ac1Digital Object Identifier
- Title
-
Reply on RC1Work title
- Type
-
peer-reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-04-04Full publication date if available
- Authors
-
Petri TiittaList of authors in order
- Landing page
-
https://doi.org/10.5194/amt-2021-423-ac1Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5194/amt-2021-423-ac1Direct OA link when available
- Concepts
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Span (engineering), Volume (thermodynamics), Particle (ecology), Sampling (signal processing), Liquid water content, Analytical Chemistry (journal), Meteorology, Materials science, Physics, Environmental science, Mathematics, Optics, Chemistry, Cloud computing, Thermodynamics, Geology, Chromatography, Computer science, Engineering, Structural engineering, Operating system, Oceanography, DetectorTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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37Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.volume | 38, 165 |
| abstract_inverted_index.<strong | 0 |
| abstract_inverted_index.Kuopio, | 62 |
| abstract_inverted_index.Pearson | 181 |
| abstract_inverted_index.adapted | 84 |
| abstract_inverted_index.between | 67, 131, 138 |
| abstract_inverted_index.carried | 55, 117 |
| abstract_inverted_index.clouds, | 91 |
| abstract_inverted_index.content | 161 |
| abstract_inverted_index.droplet | 69, 103 |
| abstract_inverted_index.imaging | 80 |
| abstract_inverted_index.measure | 86 |
| abstract_inverted_index.methods | 44 |
| abstract_inverted_index.mount), | 195 |
| abstract_inverted_index.results | 123 |
| abstract_inverted_index.sharpen | 11 |
| abstract_inverted_index.station | 60 |
| abstract_inverted_index.system. | 112 |
| abstract_inverted_index.values, | 206 |
| abstract_inverted_index.whereas | 207 |
| abstract_inverted_index.without | 45 |
| abstract_inverted_index.(FM-120) | 105 |
| abstract_inverted_index.(ICEMET) | 82 |
| abstract_inverted_index.(without | 192 |
| abstract_inverted_index.Finland, | 63 |
| abstract_inverted_index.averaged | 136 |
| abstract_inverted_index.compared | 96 |
| abstract_inverted_index.diameter | 166 |
| abstract_inverted_index.droplets | 19, 235 |
| abstract_inverted_index.focusing | 64 |
| abstract_inverted_index.imaging. | 24 |
| abstract_inverted_index.isoaxial | 120, 172 |
| abstract_inverted_index.measured | 41, 205 |
| abstract_inverted_index.parallel | 98 |
| abstract_inverted_index.particle | 32, 48, 107 |
| abstract_inverted_index.position | 29 |
| abstract_inverted_index.possible | 9 |
| abstract_inverted_index.reliable | 189 |
| abstract_inverted_index.revealed | 228 |
| abstract_inverted_index.sampling | 173 |
| abstract_inverted_index.verified | 198 |
| abstract_inverted_index.agreement | 126, 170, 220 |
| abstract_inverted_index.analyzers | 70 |
| abstract_inverted_index.comparing | 200 |
| abstract_inverted_index.confirmed | 176 |
| abstract_inverted_index.droplets, | 158 |
| abstract_inverted_index.estimated | 202 |
| abstract_inverted_index.geometric | 241 |
| abstract_inverted_index.resolving | 22 |
| abstract_inverted_index.sampling, | 121 |
| abstract_inverted_index.amplitude. | 225 |
| abstract_inverted_index.instrument | 81 |
| abstract_inverted_index.properties | 16, 88 |
| abstract_inverted_index.technique, | 6 |
| abstract_inverted_index.twin-inlet | 111, 209 |
| abstract_inverted_index.assumptions | 46 |
| abstract_inverted_index.correlation | 179, 182 |
| abstract_inverted_index.holographic | 43, 79 |
| abstract_inverted_index.measurement | 5 |
| abstract_inverted_index.properties. | 49 |
| abstract_inverted_index.swivel-head | 194 |
| abstract_inverted_index.variability | 130, 223 |
| abstract_inverted_index.5â<span | 238 |
| abstract_inverted_index.instruments, | 133 |
| abstract_inverted_index.measurements | 53, 99, 108 |
| abstract_inverted_index.observations | 214 |
| abstract_inverted_index.spectrometer | 104 |
| abstract_inverted_index.coefficients. | 183 |
| abstract_inverted_index.concentration | 154 |
| abstract_inverted_index.determination | 13 |
| abstract_inverted_index.microphysical | 15, 87 |
| abstract_inverted_index.respectively. | 168 |
| abstract_inverted_index.well-defined, | 35 |
| abstract_inverted_index.0.6â<span | 143 |
| abstract_inverted_index.1.0â<span | 145 |
| abstract_inverted_index.1.2â<span | 148 |
| abstract_inverted_index.magnification. | 242 |
| abstract_inverted_index.ICEMET-observed | 185 |
| abstract_inverted_index.intercomparison | 115 |
| abstract_inverted_index.intercomparisons | 66 |
| abstract_inverted_index.three-dimensional | 36 |
| abstract_inverted_index.SeptemberâNovember | 75 |
| abstract_inverted_index.class="inline-formula">µ</span>m | 239 |
| abstract_inverted_index.class="inline-formula">±</span>â0.2 | 149 |
| abstract_inverted_index.class="inline-formula">±</span>â0.2, | 144 |
| abstract_inverted_index.class="inline-formula">±</span>â0.5, | 146 |
| abstract_inverted_index.class="inline-formula"><i>N</i><sub>d</sub></span> | 217 |
| abstract_inverted_index.class="inline-formula"><i>N</i><sub>d</sub></span>) | 156 |
| abstract_inverted_index.class="journal-contentHeaderColor">Abstract.</strong> | 1 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5019901029 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 1 |
| corresponding_institution_ids | https://openalex.org/I1285790362 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/6 |
| sustainable_development_goals[0].score | 0.5799999833106995 |
| sustainable_development_goals[0].display_name | Clean water and sanitation |
| citation_normalized_percentile |