Meloe Kacenelenbogen

Staff, NASA Ames Research Center
Atmospheric Science Branch (SGG)
Business Email: meloe.s.kacenelenbogen@nasa.gov
Business Phone: (650) 604-3374

Bio:

Meloë Kacenelenbogen is a research scientist at NASA Ames Research Center (ARC). She has spent 16 years (includes PhD completed in 2008, France) working on the optical remote sensing observation of fine suspended particles (aerosols) in the atmosphere from ground-based, airborne and space-borne passive and active instruments. Her expertise is mostly in the characterization of aerosol type, amount, vertical distribution and direct radiative effects. She is currently the interim leader of the Sunphotometer/ Satellite team (https://airbornescience.nasa.gov/sunsat) at NASA ARC, which flies airborne sunphotometers to characterize aerosols, clouds and gas constituents. She is also currently a member of the science and application leadership team, which defines the science objectives for the Aerosol Clouds, Convection and Precipitation (ACCP) Designated Observables (https://science.nasa.gov/earth-science/decadal-accp).

CV:

First Author Publications:

• Kacenelenbogen, M. S., Vaughan, M. A., Redemann, J., Young, S. A., Liu, Z., Hu, Y., Omar, A. H., LeBlanc, S., Shinozuka, Y., Livingston, J., Zhang, Q., and Powell, K. A.: Estimations of global shortwave direct aerosol radiative effects above opaque water clouds using a combination of A-Train satellite sensors, Atmos. Chem. Phys., 19, 4933-4962, https://doi.org/10.5194/acp-19-4933-2019, 2019. 

• Kacenelenbogen, M. S., et al. (2014), An evaluation of CALIOP/CALIPSO’s aerosol-above-cloud (AAC) detection and retrieval capability. , J. Geophys. Res., 119, 230-244.
• Kacenelenbogen, M. S., et al. (2011), An accuracy assessment of the CALIOP/CALIPSO version 2/version 3 daytime aerosol extinction product based on a detailed multi-sensor, multi-platform case study, Atmos. Chem. Phys., 11, 3981-4000, doi:10.5194/acp-11-3981-2011.
• Kacenelenbogen, M. S., et al. (2006), Characterization of aerosol pollution events in France using ground-based and POLDER-2 satellite data, Atmos. Chem. Phys., 6, 4843-4849, doi:10.5194/acp-6-4843-2006.
   

Co-Authored Publications: 

• Pistone, K., Redemann, J., Doherty, S., Zuidema, P., Burton, S., Cairns, B., Cochrane, S., Ferrare, R., Flynn, C., Freitag, S., Howell, S., Kacenelenbogen, M., LeBlanc, S., Liu, X., Schmidt, K. S., Sedlacek III, A. J., Segal-Rosenhaimer, M., Shinozuka, Y., Stamnes, S., van Diedenhoven, B., Van Harten, G., and Xu, F.: Intercomparison of biomass burning aerosol optical properties from in-situ and remote-sensing instruments in ORACLES-2016, Atmos. Chem. Phys. Discuss., , in review, 2019.
• Cochrane S., K. S. Schmidt, H. Chen, P. Pilewskie, A. Scott Kittelman, W. Gore, J. Redemann, S. LeBlanc, K. Pistone, M. Kacenelenbogen, M. Segal Rozenhaimer, Y. Shinozuka, C. Flynn, S. Platnick, K. Meyer, R. Ferrare, S. Burton, C. Hostetler, S. Howell, A. Dobracki, and S. Doherty, Above-Cloud Aerosol Radiative Effects based on ORACLES 2016 and ORACLES 2017 Aircraft Experiments, Atmos. Meas. Tech. Discuss., amt-2019-83, in review, 2019.
• Sayer, A. M., Hsu, N. C., Lee, J., Kim, W. V., Burton, S., Fenn, M. A., Ferrare, R. A., Kacenelenbogen, M., LeBlanc, S., Pistone, K., Redemann, J., Segal-Rozenhaimer, M., Shinozuka, Y., and Tsay, S.-C.: Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-58, in review, 2019. ​
• LeBlanc, S. E., Redemann, J., Flynn, C., Pistone, K., Kacenelenbogen, M., Segal-Rosenheimer, M., Shinozuka, Y., Dunagan, S., Dahlgren, R. P., Meyer, K., Podolske, J., Howell, S. G., Freitag, S., Small-Griswold, J., Holben, B., Diamond, M., Formenti, P., Piketh, S., Maggs-Kölling, G., Gerber, M., and Namwoonde, A.: Above Cloud Aerosol Optical Depth from airborne observations in the South-East Atlantic, Atmos. Chem. Phys. Discuss.,https://doi.org/10.5194/acp-2019-43, in review, 2019.
• Dawson K. W. et al., Creating Aerosol Types from CHemistry (CATCH): a new algorithm to extend the link between remote sensing and models. Journal of Geophysical Research: Atmospheres, 122. https://doi.org/10.1002/2017JD026913, 2017.
• Jethva, H., et al. (2016), Validating MODIS above-cloud aerosol optical depth retrieved from “color ratio” algorithm using direct measurements made by NASA’s airborne AATS and 4STAR sensors, Atmos. Meas. Tech., 9, 5053-5062, doi:10.5194/amt-9-5053-2016.
• Knobelspiesse, K., et al. (2015), Remote sensing of mixed cloud and aerosol scenes. chapter in Light Scattering Reviews, Springer Praxis Books, 9, 167-210, doi:10.1007/978-3-642-37985-7_5.
• Saide, P. E., et al. (2015), Central American biomass burning smoke can increase tornado severity in the U.S., Geophys. Res. Lett., 42, 956-965, doi:10.1002/2014GL062826.
• Russell, P. B., et al. (2014), A Multi-Parameter Aerosol Classification Method and its Application to Retrievals from Spaceborne Polarimetry, Paper #: 2013JD021411R, J. Geophys. Res..
• Redemann, J., et al. (2012), The comparison of MODIS-Aqua (C5) and CALIOP (V2 & V3) aerosol optical depth, Atmos. Chem. Phys., 12, 3025-3043, doi:10.5194/acp-12-3025-2012.
• Mangold, A., et al. (2011), Aerosol analysis and forecast in the European Centre for Medium‐Range Weather Forecasts Integrated Forecast System: 3. Evaluation by means of case studies, J. Geophys. Res., 116, D03302, doi:10.1029/2010JD014864.
• Schmid, B., et al. (2011), 4STAR Spectrometer for Sky-scanning Sun-tracking Atmospheric Research: Results from Test-flight Series, Paper A14E-05, American Geophysical Union Fall Meeting, San Francisco, 5-9 December 2011.