Brian Kahn
Organization:
Jet Propulsion Laboratory
Email:
Business Phone:
Work:
(818) 393-0676
Business Address:
Jet Propulsion Laboratory
4800 Oak Grove Drive
Pasadena, CA 91109
United StatesFirst Author Publications:
- Kahn, B., et al. (2018), Ice cloud microphysical trends observed by the Atmospheric Infrared Sounder, Atmos. Chem. Phys., 18, 10715-10739, doi:10.5194/acp-18-10715-2018.
- Kahn, B., et al. (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, doi:10.5194/acp-17-9451-2017.
- Kahn, B., et al. (2014), The Atmospheric Infrared Sounder version 6 cloud products, Atmos. Chem. Phys., 14, 399-426, doi:10.5194/acp-14-399-2014.
- Kahn, B., et al. (2011), Temperature and Water Vapor Variance Scaling in Global Models: Comparisons to Satellite and Aircraft Data, J. Atmos. Sci., 68, 2156-2168, doi:10.1175/2011JAS3737.1.
- Kahn, B., et al. (2011), Impacts of subpixel cloud heterogeneity on infrared thermodynamic phase assessment, J. Geophys. Res., 116, D20201, doi:10.1029/2011JD015774.
- Kahn, B., and J. Teixeira (2009), A Global Climatology of Temperature and Water Vapor Variance Scaling from the Atmospheric Infrared Souñder, J. Climate, 22, 5558-5576, doi:10.1175/2009JCLI2934.1.
- Kahn, B., et al. (2009), Cloudy and clear-sky relative humidity in the upper troposphere observed by the A-train, J. Geophys. Res., 114, D00H02, doi:10.1029/2009JD011738.
- Kahn, B., et al. (2008), Cloud type comparisons of AIRS, CloudSat, and CALIPSO cloud height and amount, Atmos. Chem. Phys., 8, 1231-1248, doi:10.5194/acp-8-1231-2008.
- Kahn, B., et al. (2007), The radiative consistency of Atmospheric Infrared Sounder and Moderate Resolution Imaging Spectroradiometer cloud retrievals, J. Geophys. Res., 112, D09201, doi:10.1029/2006JD007486.
- Kahn, B., et al. (2007), Toward the characterization of upper tropospheric clouds using Atmospheric Infrared Sounder and Microwave Limb Sounder observations, J. Geophys. Res., 112, D05202, doi:10.1029/2006JD007336.
- Kahn, B., et al. (2005), Nighttime cirrus detection using Atmospheric Infrared Sounder window channels and total column water vapor, J. Geophys. Res., 110, D07203, doi:10.1029/2004JD005430.
Co-Authored Publications:
- Tan, I., et al. (2024), Contributions From Cloud Morphological Changes to the Interannual Shortwave Cloud Feedback Based on MODIS and ISCCP Satellite Observations, J. Geophys. Res., 129, e2023JD040540, doi:10.1029/2023JD040540.
- Glynn Hulley, B. Dousset, and B. Kahn (2020), Rising Trends in Heatwave Metrics Across Southern California, Earth's Future, 8, doi:10.1029/2020EF001480.
- Kalmus, P., et al. (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.
- Yue, Q., et al. (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.
- Dorrestijn, J., et al. (2018), Instantaneous variance scaling of AIRS thermodynamic profiles using a circular area Monte Carlo approach, Atmos. Meas. Tech., 11, 2717-2733, doi:10.5194/amt-11-2717-2018.
- Guillaume, A., et al. (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.
- Irion, F. W., et al. (2018), Single-footprint retrievals of temperature, water vapor and cloud properties from AIRS, Atmos. Meas. Tech., 11, 971-995, doi:10.5194/amt-11-971-2018.
- Stephens, G. L., et al. (2018), Regional Intensification of the Tropical Hydrological Cycle During ENSO, Geophys. Res. Lett., 45, 4361-4370, doi:10.1029/2018GL077598.
- Thompson, D. R., et al. (2018), Global spectroscopic survey of cloud thermodynamic phase at high spatial resolution, 2005–2015, Atmos. Meas. Tech., 11, 1019-1030, doi:10.5194/amt-11-1019-2018.
- Wong, S., et al. (2018), Coupling of Precipitation and Cloud Structures in Oceanic Extratropical Cyclones to Large-Scale Moisture Flux Convergence, J. Climate, 31, 9565-9584, doi:10.1175/JCLI-D-18-0115.1.
- Chang, K., et al. (2017), Information content of visible and midinfrared radiances for retrieving tropical ice cloud properties, J. Geophys. Res., 122, 4944-4966, doi:10.1002/2016JD026357.
- Yue, Q., et al. (2017), On the response of MODIS cloud coverage to global mean surface air temperature, J. Geophys. Res., 122, 966-979, doi:10.1002/2016JD025174.
- Anderson, D., et al. (2016), A pervasive role for biomass burning in tropical high ozone/low water structures, Nature, doi:10.1038/ncomms10267.
- Devasthale, A., et al. (2016), A Decade Of Spaceborne Observations Of The Arctic Atmosphere: Novel Insights from NASA’s AIRS Instrument, Bull. Am. Meteorol. Soc., 2163, doi:10.1175/BAMS-D-14-00202.1.
- Devasthale, A., et al. (2016), A Decade Of Spaceborne Observations Of The Arctic Atmosphere: Novel Insights from NASA’s AIRS Instrument, Bull. Am. Meteorol. Soc., 97, 2163-2176, doi:10.1175/BAMS-D-14-00202.1.
- Staten, P. W., et al. (2016), Subpixel Characterization of HIRS Spectral Radiances Using Cloud Properties from AVHRR, J. Atmos. Oceanic Technol., 33, 1519-1538, doi:10.1175/JTECH-D-15-0187.1.
- Stephens, G., B. 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.
- Wang, T., et al. (2016), Validation of MODIS cloud mask and multilayer flag using CloudSat-CALIPSO cloud profiles and a cross-reference of their cloud classifications, J. Geophys. Res., 121, doi:10.1002/2016JD025239.
- Wong, S., et al. (2016), Responses of Tropical Ocean Clouds and Precipitation to the Large-Scale Circulation: Atmospheric-Water-Budget-Related Phase Space and Dynamical Regimes, J. Climate, 29, 7127-7143, doi:10.1175/JCLI-D-15-0712.1.
- Naud, C. M., and B. Kahn (2015), Thermodynamic Phase and Ice Cloud Properties in Northern Hemisphere Winter Extratropical Cyclones Observed by Aqua AIRS, J. Appl. Meteor. Climat., 54, 2283-2303, doi:10.1175/JAMC-D-15-0045.1.
- Wu, L., et al. (2015), Impact of environmental moisture on tropical cyclone intensification, Atmos. Chem. Phys., 15, 14041-14053, doi:10.5194/acp-15-14041-2015.
- Schreier, M. M., et al. (2014), Atmospheric parameters in a subtropical cloud regime transition derived by AIRS and MODIS: observed statistical variability compared to ERA-Interim, Atmos. Chem. Phys., 14, 3573-3587, doi:10.5194/acp-14-3573-2014.
- Ou, S. S. C., et al. (2013), Retrieval of Cirrus Cloud Properties From the Atmospheric Infrared Sounder: The k -Coefficient Approach Using Cloud-Cleared Radiances as Input, IEEE Trans. Geosci. Remote Sens., 51, 1010-1024, doi:10.1109/TGRS.2012.2205261.
- Tian, B., et al. (2013), Evaluating CMIP5 models using AIRS tropospheric air temperature and specific humidity climatology, J. Geophys. Res., 118, 114-134, doi:10.1029/2012JD018607.
- Yue, Q., et al. (2013), Cloud-State-Dependent Sampling in AIRS Observations Based on CloudSat Cloud Classification, J. Climate, 26, 8357-8377, doi:10.1175/JCLI-D-13-00065.1.
- Yue, Q., et al. (2013), Transitions of cloud-topped marine boundary layers characterized by AIRS, MODIS, and a large eddy simulation model, J. Geophys. Res., 118, 8598-8611, doi:10.1002/jgrd.50676.
- Casey, S. P. F., E. J. Fetzer, and B. Kahn (2012), Revised identification of tropical oceanic cumulus congestus as viewed by CloudSat, Atmos. Chem. Phys., 12, 1587-1595, doi:10.5194/acp-12-1587-2012.
- Devasthale, A., et al. (2012), Influence of the Arctic Oscillation on the vertical distribution of clouds as observed by the A-Train constellation of satellites, Atmos. Chem. Phys., 12, 10535-10544, doi:10.5194/acp-12-10535-2012.
- Wu, L., et al. (2012), Relationship of environmental relative humidity with North Atlantic tropical cyclone intensity and intensification rate, Geophys. Res. Lett., 39, L20809, doi:10.1029/2012GL053546.
- Nasiri, S. L., et al. (2011), Comparing MODIS and AIRS Infrared-Based Cloud Retrievals, J. Appl. Meteor. Climat., 50, 1057-1072, doi:10.1175/2010JAMC2603.1.
- Smirnov, A., et al. (2011), Maritime aerosol network as a component of AERONET – first results and comparison with global aerosol models and satellite retrievals, Atmos. Meas. Tech., 4, 583-597, doi:10.5194/amt-4-583-2011.
- Wong, S., et al. (2011), Closing the Global Water Vapor Budget with AIRS Water Vapor, MERRA Reanalysis, TRMM and GPCP Precipitation, and GSSTF Surface Evaporation, J. Climate, 24, 6307-6321, doi:10.1175/2011JCLI4154.1.
- Yue, Q., et al. (2011), Relationship between marine boundary layer clouds and lower tropospheric stability observed by AIRS, CloudSat, and CALIOP, J. Geophys. Res., 116, D18212, doi:10.1029/2011JD016136.
- Lee, S., B. Kahn, and J. Teixeira (2010), Characterization of cloud liquid water content distributions from CloudSat, J. Geophys. Res., 115, D20203, doi:10.1029/2009JD013272.
- Martins, J. P. A., et al. (2010), Infrared sounding of the trade‐wind boundary layer: AIRS and the RICO experiment, Geophys. Res. Lett., 37, L24806, doi:10.1029/2010GL045902.
- Schreier, M. M., et al. (2010), Radiance Comparisons of MODIS and AIRS Using Spatial Response Information, J. Atmos. Oceanic Technol., 27, 1331-1342, doi:10.1175/2010JTECHA1424.1.
- Davis, S., et al. (2009), Comparison of airborne in situ measurements and Moderate Resolution Imaging Spectroradiometer (MODIS) retrievals of cirrus cloud optical and microphysical properties during the Midlatitude Cirrus Experiment (MidCiX), J. Geophys. Res., 114, D02203, doi:10.1029/2008JD010284.
- Fetzer, E. J., et al. (2008), Comparison of upper tropospheric water vapor observations from the Microwave Limb Sounder and Atmospheric Infrared Sounder, J. Geophys. Res., 113, D22110, doi:10.1029/2008JD010000.
- Nasiri, S. L., and B. Kahn (2008), Limitations of Bispectral Infrared Cloud Phase Determination and Potential for Improvement, J. Appl. Meteor. Climat., 47, 2895-2910, doi:10.1175/2008JAMC1879.1.
- Weisz, E., et al. (2007), Comparison of AIRS, MODIS, CloudSat and CALIPSO cloud top height retrievals, Geophys. Res. Lett., 34, L17811, doi:10.1029/2007GL030676.