The NASA ACTIVATE Mission

Armin Sorooshian, Leong Wai Siu, Kayley Butler, Michael A. Brunke, Brian Cairns, Seethala Chellappan, Jingyi Chen, Yonghoon Choi, Ewan C. Crosbie, Lauren Cutler, Joshua P. Digangi, Glenn S. Diskin, Richard A. Ferrare, Johnathan W. Hair, Chris A. Hostetler, Simon Kirschler, Mary M. Kleb, Xiang Yu Li, Hongyu Liu, Allison McComiskeySoodabeh Namdari, David Painemal, Joseph S. Schlosser, Taylor Shingler, Michael A. Shook, Sam Silva, Kenneth Sinclair, William L. Smith, Cassidy Soloff, Snorre Stamnes, Shuaiqi Tang, Kenneth L. Thornhill, Florian Tornow, George Tselioudis, Bastiaan Van Diedenhoven, Christiane Voigt, Holger Vömel, Hailong Wang, Edward L. Winstead, Yike Xu, Xubin Zeng, Bo Zhang, Luke Ziemba, Paquita Zuidema

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The NASA Aerosol Cloud Meteorology Interactions over the Western Atlantic Experiment (ACTIVATE) conducted 162 joint flights with two aircraft over the northwest Atlantic to study aerosol–cloud interactions (ACIs), which represent the largest uncertainty in estimating total anthropogenic radiative forcing. The combination of a high-flying King Air and low-flying HU-25 Falcon, equipped with remote sensing and in situ instruments, characterized trace gases, aerosol particles, clouds, and meteorological variables with data collected nearly simultaneously below, within, and above marine boundary layer (MBL) clouds. Flights spanning warm and cold seasons across 3 years (2020–22) provided a broad range of conditions associated with aerosol particles, cloud properties (including particle size and phase), and meteorology, ideally suited for robust ACI calculations and assessing how well models simulate a wide range of MBL clouds from stratiform to cumulus. ACTIVATE data suggest that drivers of cloud droplet number concentration Nd, including aerosol particles and MBL dynamics, vary between winter and summer months with a stronger potential to convert aerosol particles into cloud droplets in winter. Models of varying complexity not only highlight some skills in simulating winter and summer cloud types but also identify challenges that still need to be addressed such as treatment of turbulence, wet scavenging, and mesoscale organization. Remote sensing advances range from new retrieval methods for Nd, cloud phase classification, vertically resolved aerosol and cloud condensation nuclei number concentration, and ocean surface wind speed. This work describes these scientific and technological advances along with efforts in outreach and open data science.

Original languageEnglish
Pages (from-to)E1517-E1538
JournalBulletin of the American Meteorological Society
Volume106
Issue number8
DOIs
StatePublished - Aug 2025
Externally publishedYes

Keywords

  • Aerosol indirect effect
  • Aerosols
  • Atmosphere
  • Clouds
  • In situ atmospheric observations
  • Remote sensing

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