Deep Convective Microphysics Experiment (DCMEX) coordinated aircraft and ground observations: microphysics, aerosol, and dynamics during cumulonimbus development

  1. Finney, Declan L.
  2. Blyth, Alan M.
  3. Gallagher, Martin
  4. Wu, Huihui
  5. Nott, Graeme J.
  6. Biggerstaff, Michael I.
  7. Sonnenfeld, Richard G.
  8. Daily, Martin
  9. Walker, Dan
  10. Dufton, David
  11. Bower, Keith
  12. Böing, Steven
  13. Choularton, Thomas
  14. Crosier, Jonathan
  15. Groves, James
  16. Field, Paul R.
  17. Coe, Hugh
  18. Murray, Benjamin J.
  19. Lloyd, Gary
  20. Marsden, Nicholas A.
  21. Flynn, Michael
  22. Hu, Kezhen
  23. Thamban, Navaneeth M.
  24. Williams, Paul I.
  25. Connolly, Paul J.
  26. McQuaid, James B.
  27. Robinson, Joseph
  28. Cui, Zhiqiang
  29. Burton, Ralph R.
  30. Carrie, Gordon
  31. Moore, Robert
  32. Abel, Steven J.
  33. Tiddeman, Dave
  34. Aulich, Graydon

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1000 Titel
  • Deep Convective Microphysics Experiment (DCMEX) coordinated aircraft and ground observations: microphysics, aerosol, and dynamics during cumulonimbus development
1000 Autor/in
  1. Finney, Declan L. |
  2. Blyth, Alan M. |
  3. Gallagher, Martin |
  4. Wu, Huihui |
  5. Nott, Graeme J. |
  6. Biggerstaff, Michael I. |
  7. Sonnenfeld, Richard G. |
  8. Daily, Martin |
  9. Walker, Dan |
  10. Dufton, David |
  11. Bower, Keith |
  12. Böing, Steven |
  13. Choularton, Thomas |
  14. Crosier, Jonathan |
  15. Groves, James |
  16. Field, Paul R. |
  17. Coe, Hugh |
  18. Murray, Benjamin J. |
  19. Lloyd, Gary |
  20. Marsden, Nicholas A. |
  21. Flynn, Michael |
  22. Hu, Kezhen |
  23. Thamban, Navaneeth M. |
  24. Williams, Paul I. |
  25. Connolly, Paul J. |
  26. McQuaid, James B. |
  27. Robinson, Joseph |
  28. Cui, Zhiqiang |
  29. Burton, Ralph R. |
  30. Carrie, Gordon |
  31. Moore, Robert |
  32. Abel, Steven J. |
  33. Tiddeman, Dave |
  34. Aulich, Graydon |
1000 Verlag
  • Copernicus Publications
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-05-03
1000 Erschienen in
1000 Quellenangabe
  • 16(5):2141-2163
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/essd-16-2141-2024 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:p>Abstract. Cloud feedbacks associated with deep convective anvils remain highly uncertain. In part, this uncertainty arises from a lack of understanding of how microphysical processes influence the cloud radiative effect. In particular, climate models have a poor representation of microphysics processes, thereby encouraging the collection and study of observation data to enable better representation of these processes in models. As such, the Deep Convective Microphysics Experiment (DCMEX) undertook an in situ aircraft and ground-based measurement campaign of New Mexico deep convective clouds during July–August 2022. The campaign coordinated a broad range of instrumentation measuring aerosol, cloud physics, radar, thermodynamics, dynamics, electric fields, and weather. This paper introduces the potential data user to DCMEX observational campaign characteristics, relevant instrument details, and references to more detailed instrument descriptions. Also included is information on the structure and important files in the dataset in order to aid the accessibility of the dataset to new users. Our overview of the campaign cases illustrates the complementary operational observations available and demonstrates the breadth of the campaign cases observed. During the campaign, a wide selection of environmental conditions occurred, ranging from dry, northerly air masses with low wind shear to moist, southerly air masses with high wind shear. This provided a wide range of different convective growth situations. Of 19 flight days, only 2 d lacked the formation of convective cloud. The dataset presented (https://doi.org/10.5285/B1211AD185E24B488D41DD98F957506C; Facility for Airborne Atmospheric Measurements et al., 2024) will help establish a new understanding of processes on the smallest cloud- and aerosol-particle scales and, once combined with operational satellite observations and modelling, can support efforts to reduce the uncertainty of anvil cloud radiative impacts on climate scales. </jats:p>
1000 Liste der Beteiligten
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    1000 Förderer Natural Environment Research Council |
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1000 Erstellt am 2024-05-23T23:41:44.424+0200
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1000 Zuletzt bearbeitet Mon May 27 13:57:34 CEST 2024
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