Skip to content
DraconiticResearch
Search Sources API
184,584 studies31 sourcesUpdated 22 min ago
Peer-reviewedCC BY 4.0Atmospheric Chemistry and Physics

A new method to derive water vapor supersaturation at cumulus cloud base from in situ measurements

  1. 1Southern Cross University (Lismore, Australia)

Abstract

Current in situ measurements of water vapor supersaturation ( S v ) with respect to liquid water at cloud base are highly uncertain due to instrumental limitations. Consequently, S v is commonly estimated using cloud microphysical models and parameterizations. Here, we derive S v at warm cumulus cloud base from in situ measurements through calculations of the energy and water vapor budgets associated with cloud formation. The derived S v provides a thermodynamic analogue to the supersaturation established in a cloud condensation nuclei (CCN) chamber, enabling direct comparison with independently measured CCN activation spectra below cloud base. To this end, we formulate the energy budget of a saturated rising air parcel at cloud base and treat the transition between saturated thermodynamic states locally as quasi-isobaric. Under these conditions, the latent heat ( Q ) released during condensational droplet growth is determined by the corresponding sensible enthalpy difference between the saturated-vapor and water vapor–liquid states. According to the first law of thermodynamics, Q is partitioned between the change in internal energy (Δ U ) and water vapor expansion work ( W s ). Within this diagnostic framework, part of the condensational energy is, therefore, spent on W s , reducing the amount of liquid water formed relative to the limiting case in which the entire condensational energy contributes to droplet growth. Accordingly, the cloud supersaturation ( S c ) is diagnostically partitioned into liquid-phase ( S l ) and vapor-phase ( S v ) components based on the fractions of Q associated with Δ U and W s , respectively. This framework enables the derivation of S v from airborne cloud-base measurements through thermodynamic constraints on condensational energy partitioning. Here we use airborne measurements collected in growing convective cumuli over the Amazon Basin during the ACRIDICON-CHUVA campaign. Our results demonstrate that the derived cloud droplet number concentration as a function of S v agrees, within measurement uncertainties, with S v activation spectra of CCN measured below cloud base.

Versions

Related

  1. Cumulus parameterization controls simulated rainfall more than microphysics, but not at heavy thresholds: a 3 * 2 factorial WRF study over the Western Himalaya
    Satyam Kumar, Akshay Sunil, Devesh Sheoran
    arXivPreprintCC BY 4.0Full textAtmospheric science & meteorologyarXiv
  2. Assessment of methods for collection, preservation, and storage of water samples for dissolved methane and nitrous oxide concentration measurements
    Anagha Payyambally, Josie L. Mottram, Julie Granger +1
    EarthArXivPreprintCC BY 4.0Full textClimate scienceEarthArXiv
  3. A spatial autocorrelation method for estimating Rayleigh-wave attenuation coefficients from microtremor array measurements
    Harusato Kimura, Hitoshi Morikawa
    arXivPreprintCC BY 4.0Full textGeophysics & seismologyarXiv
  4. Baseline measurements of bottom water, sediment and nutrients for the benthic environments of Saguenay fjord, Quebec, Canada
    Rebecca M. Howman, Philippe Archambault, Audrey-Anne Amyot +2
    Scientific DataPeer-reviewedCC BY-NC-ND 4.0Full textOceanography & cryospherePMC
  5. An improved polarization-sensitive semi-analytic monte carlo simulation method for bathymetric lidar considering complex water-column stratification
    Chenyang Li, Jingtao Sun, Chen Chen
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textEnvironmental science & pollutionCrossref
BibTeX
@article{braga2026method,
  title = {{A new method to derive water vapor supersaturation at cumulus cloud base from in situ measurements}},
  author = {Ramon C. Braga and Manfred Wendisch and Rachel Albrecht and Daniel Harrison},
  journal = {Atmospheric Chemistry and Physics},
  year = {2026},
  month = oct,
  doi = {10.5194/acp-26-14769-2026},
  url = {https://acp.copernicus.org/articles/26/14769/2026/},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - A new method to derive water vapor supersaturation at cumulus cloud base from in situ measurements
AU  - Ramon C. Braga
AU  - Manfred Wendisch
AU  - Rachel Albrecht
AU  - Daniel Harrison
PY  - 2026
DA  - 2026/10/20
JO  - Atmospheric Chemistry and Physics
DO  - 10.5194/acp-26-14769-2026
UR  - https://acp.copernicus.org/articles/26/14769/2026/
AB  - Current in situ measurements of water vapor supersaturation ( S v ) with respect to liquid water at cloud base are highly uncertain due to instrumental limitations. Consequently, S v is commonly estimated using cloud microphysical models and parameterizations. Here, we derive S v at warm cumulus cloud base from in situ measurements through calculations of the energy and water vapor budgets associated with cloud formation. The derived S v provides a thermodynamic analogue to the supersaturation established in a cloud condensation nuclei (CCN) chamber, enabling direct comparison with independently measured CCN activation spectra below cloud base. To this end, we formulate the energy budget of a saturated rising air parcel at cloud base and treat the transition between saturated thermodynamic states locally as quasi-isobaric. Under these conditions, the latent heat ( Q ) released during condensational droplet growth is determined by the corresponding sensible enthalpy difference between the saturated-vapor and water vapor–liquid states. According to the first law of thermodynamics, Q is partitioned between the change in internal energy (Δ U ) and water vapor expansion work ( W s ). Within this diagnostic framework, part of the condensational energy is, therefore, spent on W s , reducing the amount of liquid water formed relative to the limiting case in which the entire condensational energy contributes to droplet growth. Accordingly, the cloud supersaturation ( S c ) is diagnostically partitioned into liquid-phase ( S l ) and vapor-phase ( S v ) components based on the fractions of Q associated with Δ U and W s , respectively. This framework enables the derivation of S v from airborne cloud-base measurements through thermodynamic constraints on condensational energy partitioning. Here we use airborne measurements collected in growing convective cumuli over the Amazon Basin during the ACRIDICON-CHUVA campaign. Our results demonstrate that the derived cloud droplet number concentration as a function of S v agrees, within measurement uncertainties, with S v activation spectra of CCN measured below cloud base.
SN  - 1680-7324
ER  -