The nephelometer measures the total scattering and hemispheric backscattering of aerosol. Nephelometers are deployed in pairs, with one measuring the ambient conditions and the other measuring the scattering as a function of slowly increasing or decreasing relative humidity (RH). The combination can then be used to derive the hygroscopic growth factor as a function of RH: f(RH).
The nephelometer is part of the aerosol observing system (AOS).
| Facility Name | Start Date |
|---|---|
| Graciosa Island, Azores, Portugal | 2013-10-04 |
| La Jolla, CA; AMF1 (main site for EPCAPE on Scripps Pier) | 2023-01-15 |
| Lamont, OK (Extended and Co-located with C1) | 2016-11-15 |
| Barrow, Alaska, new building (NAD83) at NOAA facility | 2020-10-22 |
| Gunnison, CO; Supplemental Facility 2 | 2021-10-27 |
Barrett P, S Abel, H Coe, I Crawford, A Dobracki, J Haywood, S Howell, A Jones, J Langridge, G McFarquhar, G Nott, H Price, J Redemann, Y Shinozuka, K Szpek, J Taylor, R Wood, H Wu, P Zuidema, S Bauguitte, R Bennett, K Bower, H Chen, S Cochrane, M Cotterell, N Davies, D Delene, C Flynn, A Freedman, S Freitag, S Gupta, D Noone, T Onasch, J Podolske, M Poellot, S Schmidt, S Springston, A Sedlacek III, J Trembath, A Vance, M Zawadowicz, and J Zhang. 2022. "Intercomparison of airborne and surface-based measurements during the CLARIFY, ORACLES and LASIC field experiments." Atmospheric Measurement Techniques, 15(21), 10.5194/amt-15-6329-2022.
Research Highlight
Diamond M, P Saide, P Zuidema, A Ackerman, S Doherty, A Fridlind, H Gordon, C Howes, J Kazil, T Yamaguchi, J Zhang, G Feingold, and R Wood. 2022. "Cloud adjustments from large-scale smoke–circulation interactions strongly modulate the southeastern Atlantic stratocumulus-to-cumulus transition." Atmospheric Chemistry and Physics, 22(18), 10.5194/acp-22-12113-2022.
Research Highlight
Li H and A May. 2022. "Estimating mass-absorption cross-section of ambient black carbon aerosols: theoretical, empirical, and machine learning models." Aerosol Science and Technology, 56(11), 10.1080/02786826.2022.2114311.
May A and H Li. 2022. "Application of machine learning approaches in the analysis of mass absorption cross-section of black carbon aerosols: Aerosol composition dependencies and sensitivity analyses." Aerosol Science and Technology, 56(11), 10.1080/02786826.2022.2114312.
Kumar J, T Paik, N Shetty, P Sheridan, A Aiken, M Dubey, and R Chakrabarty. 2022. "Correcting for filter-based aerosol light absorption biases at the Atmospheric Radiation Measurement program's Southern Great Plains site using photoacoustic measurements and machine learning." Atmospheric Measurement Techniques, 15(15), 10.5194/amt-15-4569-2022.