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Brian Kahn

Photo of Brian Kahn

Address:

4800 Oak Grove Drive
M/S 233-304

Pasadena, CA 91109

Phone:

818.393.0676

Fax:

818.393.4619

Curriculum Vitae:

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Member of:

Atmospheric Physics And Weather

Biography

Dr. Brian Kahn is a Research Scientist working closely with the Atmospheric Infrared Sounder (AIRS) group. His research interests include active and passive remote sensing of clouds, temperature, and water vapor, with a specific focus on observing cloud and climate related atmospheric processes leveraging the natural synergy of satellite sensor constellations.

Education

  • Ph.D, Atmospheric Sciences, University of California at Los Angeles (UCLA) Department ofAtmospheric and Oceanic Sciences (DAOS) (2004)
  • M.S., Atmospheric Sciences, UCLA DAOS (2001)
  • B.S. (with honors), Meteorology, San Jose State University (SJSU) (1995)

Professional Experience

  • Research Scientist, JPL (2011-Present)
  • Scientist, JPL (2009-2011)
  • Visiting Researcher, UCLA, Joint Institute for Regional Earth System Science and Engineering (JIFRESSE) (2009-Present)
  • Assistant Researcher IV, UCLA/JIFRESSE (2008)
  • NASA Postdoctoral Program (NPP) Fellow (2005-2008)
  • Academic Part-Time Researcher, JPL (2003-2005)
  • Graduate Research Assistant, UCLA (2000-2004)
  • Teaching Fellow, UCLA (1999-2002)
  • On-Air Personality for Pulse of This Planet, KKUP, 91.5 FM, Cupertino, CA (1998-2004)
  • Physics Lab Instructor, SJSU (1997-1999)
  • Lecturer on Weather and Climate, SJSU (1997-1999)
  • Exchange Student, Urals State University, Ekaterinburg, Russia (1996-1997)
  • Summer Intern, National Weather Service Forecast Office, Anchorage, AK (1994-1995)

Selected Awards

  • NPP Fellowship Award (2005-2008)
  • NASA Earth Systems Science (ESS) Fellowship (2001-2004)
  • Brian Bosart Award, UCLA (2001)
  • Neiburger Teaching Award, UCLA (2000)
  • Scholarship to attend Urals State University, Ekaterinburg, Russia (1996-1997)

Selected Publications

  1. Kahn, B. H., E. B. Berndt, J. L. Case, P. M. Kalmus, and M. T. Richardson (2023), A nowcasting approach for low Earth orbit hyperspectral infrared soundings within the convective environment. Wea. Forecast. (sub judice)
  2. Yue, Q., E. J. Fetzer, L. Wang, B. H. Kahn, N. Smith, J. Blaisdell, K. G. Meyer, M. Schreier, B. Lambrigtsen, and I. Tkatcheva (2022), Evaluating the consistency and continuity of pixel-scale cloud property data records from Aqua and SNPP, Atmos. Meas. Tech., 15, 2099–2123, https://doi.org/10.5194/amt-15-2099-2022
  3. L’Ecuyer, T. S., B. J. Drouin, J. Anheuser, M. Grames, D. S. Henderson, X. Huang, B. H. Kahn, J. E. Kay, B. H. Lim, M. Mateling, A. Merrelli, N. B. Miller, S. Padmanabhan, C. Peterson, N. Schlegel, M. L. White, and Y. Xie (2021), The Polar Radiant Energy in the Far-Infrared Experiment: A new perspective on Polar longwave energy exchanges, Bull. Amer. Met. Soc. 102(7), E1431-E1449, doi:10.1175/BAMS-D-20-0155.1
  4. Thompson, D. R., B. H. Kahn, P. G. Brodrick, M. D. Lebsock, M. Richardson, and R. O. Green (2021), Spectroscopic imaging of sub-kilometer spatial structure in lower-tropospheric water vapor, Atmos. Meas. Tech., 14, 2827–2840, https://doi.org/10.5194/amt-14-2827-2021
  5. Kahn, B. H., B. J. Drouin, and T. S. L’Ecuyer (2020), Assessment of sampling sufficiency for low- cost satellite missions: Application to PREFIRE, J. Atmos. Ocean. Tech., 37, 2283–2298, doi: 10.1175/JTECH-D-20-0023.1.
  6. Saito, M., P. Yang, X. Huang, H. E. Brindley, M. G. Mlynczak, and B. H. Kahn (2020), Spaceborne middle- and far-infrared observations improving nighttime ice cloud property retrievals, Geophys. Res. Lett., 47, e2020GL087491. https://doi.org/ 10.1029/2020GL087491
  7. Peterson, C. A.., Q. Yue, B. H. Kahn, E. J. Fetzer, and X. Huang (2020), Evaluation of AIRS Arctic Cloud Phase Classification against Combined CloudSat-CALIPSO Observations, J. Appl. Meteor. Climatol. 59, 1277–1294, doi:10.1175/JAMC-D-20-0016.1
  8. Hulley, G. C., B. Dousset, and B. H. Kahn (2020), Rising trends in heatwave severity across Southern California, Earth's Future, 8, e2020EF001480, https://doi.org/10.1029/2020EF001480
  9. Esmaili, R. B., N. Smith, E. B. Berndt, J. F. Dostalek, B. H. Kahn, K. White, C. D. Barnet, W. Sjoberg, and M. Goldberg (2020), Adapting Satellite Soundings for Operational Forecasting within the Hazardous Weather Testbed, Remote Sens., 12, 886, doi:10.3390/rs12050886
  10. Guillaume, A., B. H. Kahn, E. J. Fetzer, Q. Yue, G. J. Manipon, B. D. Wilson, and H. Hua (2019), Footprint-scale cloud type mixtures and their impacts on Atmospheric Infrared Sounder cloud property retrievals, Atmos. Meas. Tech.,12, 4361–4377, https://doi.org/10.5194/amt-12-4361-2019.
  11. Kalmus, P., B. H. Kahn, S. W. Freeman, and S. C. van den Heever (2019), Trajectory-enhanced AIRS observations of environmental factors driving severe convective storms, Mon. Wea. Rev., 147, 1633–1653, doi:10.1175/MWR-D-18-0055.1.
  12. Yue, Q., B. H. Kahn, E. J. Fetzer, S. Wong, X. Huang, and M. Schreier (2019), Temporal and spatial characteristics of short-term cloud feedback on global and local interannual climate fluctuations from A-Train observations, J. Climate, 32, 1875–1893, doi:10.1175/JCLI-D-18-0335.1
  13. McCoy, D. T., P. R. Field., G. S. Elsaesser, A. Bodas-Salcedo, B. H. Kahn, M. D. Zelinka, C. Kodama, T. Mauritsen, B. Vanniere, M. Roberts, P. L. Vidale, D. Saint-Martin, A. Voldoire, R. Haarsma, A. Hill, B. Shipway, and J. Wilkinson (2019), Cloud feedbacks in extratropical cyclones: insight from long-term satellite data and high-resolution global simulations, Atmos. Chem. Phys., 19, 1147–1172, https://doi.org/10.5194/acp-19-1147-2019.
  14. Wong, S., C. M. Naud, B. H. Kahn, L. Wu, and E. J. Fetzer (2018), Coupling of precipitation and cloud structures in oceanic extratropical cyclones to large-scale moisture flux convergence, J. Climate, 31, 9565–9684, doi:10.1175/JCLI-D-18-0115.1.
  15. Kahn, B. H., H. Takahashi, G. L. Stephens, Q. Yue, J. Delanoë, G. Manipon, E. M. Manning, and A. J. Heymsfield (2018), Ice cloud microphysical trends observed by the Atmospheric Infrared Sounder, Atmos. Chem. Phys., 18, 10715–10739, https://doi.org/10.5194/acp-18-10715-2018.
  16. Guillaume, A., B. H. Kahn, Q. Yue, E. J. Fetzer, S. Wong, G. J. Manipon, H. Hua, and B. D. Wilson (2018), Horizontal and vertical scaling of cloud geometry inferred from CloudSat data, J. Atmos. Sci., 75, 2187–2197, doi:10.1175/JAS-D-17-0111.1.
  17. Stephens, G. L., M. Z. Hakuba, M. Webb, M. Lebsock, Q. Yue, B. H. Kahn, S. Hristova-Veleva, A. Rapp, C. Stubenrauch, G. S. Elsasser, and J. Slingo (2018), Regional intensification of the tropical hydrological cycle during ENSO, Geophys. Res. Lett., 45, 4361–4370, https://doi.org/10.1029/2018GL077598.
  18. Dorrestijn, J., B. H. Kahn, J. Teixeira, and F. W. Irion (2018), Instantaneous variance scaling of AIRS thermodynamic profiles using a circular area Monte Carlo approach, Atmos. Meas. Tech., 11, 2717-2733, https://doi.org/5194/amt-11-2717-2018.
  19. Thompson, D. R., B. H. Kahn, R. O. Green, S. A. Chien, E. M. Middleton, and D. Q. Tran (2018), Global spectroscopic survey of cloud thermodynamic phase at high spatial resolution, 2005-2015, Atmos. Meas. Tech., 11, 1019–1030, https://doi.org/10.5194/amt-11-1019-2018.
  20. Irion, F. W., B. H. Kahn, M. M. Schreier, E. J. Fetzer, E. Fishbein, D. Fu, P. Kalmus, R. C. Wilson, S. Wong, and Q. Yue (2018), Single-footprint retrievals of temperature, water vapor, and cloud properties from AIRS, Atmos. Meas. Tech., 11, 971–995, https://doi.org/10.5194/amt-11-971-2018.
  21. Kahn, B. H., G. Matheou, Q. Yue, T. Fauchez, E. J. Fetzer, M. Lebsock, J. Martins, M. M. Schreier, K. Suzuki, and J. Teixeira (2017), An A-train and MERRA view of cloud, thermodynamic, and dynamic variability within the subtropical marine boundary layer, Atmos. Chem. Phys., 17, 9451–9468, https://doi.org/10.5194/acp-17-9451-2017.
  22. Chang, K.-W., T. S. L’Ecuyer, B. H. Kahn, and V. Natraj (2017), Information content of visible and midinfrared radiances for retrieving tropical ice cloud properties, J. Geophys. Res. Atmos., 122, 4944–4966, doi:10.1002/2016JD026357.
  23. Yue, Q., B. H. Kahn, E. J. Fetzer, S. Wong, R. Frey, and K. G. Meyer (2017), On the response of MODIS cloud coverage to global mean surface air temperature, J. Geophys. Res. Atmos., 122, 966–979, doi:10.1002/2016JD025174.
  24. Devasthale, A., J. Sedlar, B. H. Kahn, M. Tjernström, E. J. Fetzer, B. Tian, J. Teixeira, and T. S. Pagano (2016), A decade of spaceborne observations of the Arctic atmosphere: Novel insights from NASA’s AIRS instrument, Bull. Amer. Met. Soc., 97, 2163–2176, doi:10.1175/BAMS-D-14-00202.1.
  25. Wang, T., E. J. Fetzer, S. Wong, B. H. Kahn, and Q. Yue (2016), Interpretation of MODIS cloud images using CloudSat/CALIPSO cloud vertical profiles, J. Geophys. Res. Atmos., 121, doi:10.1002/2016JD025239.
  26. Kahn, B. H., X. Huang, G. L. Stephens, W. D. Collins, D. R. Feldman, H. Su, S. Wong, and Q. Yue (2016), ENSO regulation of far- and mid-infrared contributions to clear-sky OLR, Geophys. Res. Lett., 43, 8751–8759, doi:10.1002/2016GL070263.
  27. Staten, P. W., B. H. Kahn, M. M. Schreier, and A. K. Heidinger (2016), Sub-pixel characterization of HIRS spectral radiances using cloud properties from AVHRR, J. Atmos. Ocean Tech., 33, 1519–1538, doi:10.1175/JTECH-D-15-0187.1.
  28. Stephens, G. L., B. H. Kahn, and M. Richardson (2016), The super greenhouse effect in a changing climate, J. Climate, 29, 5469–5482, doi:10.1175/JCLI-D-15-0234.1.
  29. Sengupta, A., N. Cressie, B. H. Kahn, and R. Frey (2016), Predictive inference for big, spatial, non-Gaussian data: MODIS cloud data and its change-of-support, Aust. N. Z. J. Stat., 58(1), 15–45, doi:10.1111/anzs.12148.
  30. Yue, Q., B. H. Kahn, E. J. Fetzer, M. Schreier, S. Wong, X. Chen, and X. Huang (2016), Observation-based longwave cloud radiative kernels derived from the A-train, J. Climate, 29, 2023–2040, doi:10.1175/JCLI-D-15-0257.1
  31. Wu, L., H. Su, R. G. Fovell, T. J. Dunkerton, Z. Wang, and B. H. Kahn (2015), Impact of environmental moisture on tropical cyclone intensification, Atmos. Chem. Phys., 15, 14031–14053.
  32. Kahn, B. H., M. M. Schreier, Q. Yue, E. J. Fetzer, F. W. Irion, S. Platnick, C. Wang, S. L. Nasiri, and T. S. L’Ecuyer (2015), Pixel-scale assessment and uncertainty analysis of AIRS and MODIS ice cloud optical thickness and effective radius, J. Geophys. Res., 120, doi:10.1002/2015JD023950.
  33. Naud, C. M., and B. H. Kahn (2015), Thermodynamic phase and ice cloud properties in northern hemisphere winter extratropical cyclones observed by Aqua AIRS, J. Appl. Meteor. Climatol., 54, 2283–2303, doi:10.1175/JAMC-D-15-0045.1.
  34. Lubin, D., B. H. Kahn, M. A. Lazzara, P. Rowe, and V. P. Walden (2015), Variability in AIRS-retrieved cloud amount and thermodynamic phase over west versus east Antarctica influenced by the SAM, Geophys. Res. Lett., 42, doi:10.1002/2014GL062285.
  35. Kahn, B. H., F. W. Irion, V. T. Dang, E. M. Manning, S. L. Nasiri, C. M. Naud, J. Blaisdell, M. M. Schreier, Q. Yue, K. W. Bowman, E. J. Fetzer, G. C. Hulley, K. N. Liou, D. Lubin, S. C. Ou, J. Susskind, Y. Takano, B. Tian, and J. Worden (2014), The Atmospheric Infrared Sounder Version 6 cloud products, Atmos. Chem. Phys., 14, 399–426.

Projects

AIRS
CloudSat
PREFIRE (Polar Radiant Energy in the Far-InfraRed Experiment)