Bryan A. Baum

Organization

University of Wisconsin–Madison

Email

Contact person by email

Business Phone

Work

:

(608) 263-3898

Business Address

Space Science and Engineering Center
University of Wisconsin-Madison
1225 W. Dayton Street
Madison, WI 53706
United States

Website

Baum's web page

First Author Publications

Baum, B.A., et al. (2012), MODIS Cloud-Top Property Refinements for Collection 6, J. Appl. Meteor. Climat., 51, 1145-1163, doi:10.1175/JAMC-D-11-0203.1.
Baum, B.A., et al. (2011), Improvements in Shortwave Bulk Scattering and Absorption Models for the Remote Sensing of Ice Clouds, J. Appl. Meteor. Climat., 50, 1037-1056, doi:10.1175/2010JAMC2608.1.
Baum, B.A., et al. (2010), The impact of ice particle roughness on the scattering phase matrix, J. Quant. Spectrosc. Radiat. Transfer, 111, 2534-2549, doi:10.1016/j.jqsrt.2010.07.008.
Baum, B.A., et al. (2007), Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part III: High-Resolution Spectral Models from 100 to 3250 cm-1؁‬, J. Appl. Meteor. Climat., 46, 423-434, doi:10.1175/JAM2473.1.
Baum, B.A., et al. (2005), Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part II: Narrowband Models, J. Appl. Meteor., 44, 1896-1911, doi:10.1175/JAM2309.1.
Baum, B.A., et al. (2005), Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part I: Microphysical Data and Models, J. Appl. Meteor., 44, 1885-1895.
Baum, B.A., et al. (2003), Nighttime Multilayered Cloud Detection Using MODIS and ARM Data, J. Appl. Meteor., 42, 905-919.
Baum, B.A., et al. (2000), Remote sensing of cloud properties using MODIS airborne simulator imagery during SUCCESS II. Cloud thermodynamic phase, J. Geophys. Res., 105, 11781-11792.
Baum, B.A., et al. (2000), Remote sensing of cloud properties using MODIS Airborne Simulator imagery during SUCCESS. I. Data and models, J. Geophys. Res., 105, 11,767-11,780.
Baum, B.A., and J. Spinhirne (2000), Remote sensing of cloud properties using MODIS Airborne Simulator imagery during SUCCESS. III. Cloud overlap, J. Geophys. Res., 105, 11,793-11,804.
Baum, B.A., and . Trepte (1999), A grouped threshold method for discrimination of smoke, fire, and snow from clouds in daytime AVHRR data, J. Atmos. Ocea. Tech., 16, 793-800.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

Co-Authored Publications

Borbas, E., et al. (2021), Improvement in tropospheric moisture retrievals from VIIRS through the use of infrared absorption bands constructed from VIIRS and CrIS data fusion, Atmos. Meas. Tech., 14, 1191-1203, doi:10.5194/amt-14-1191-2021.
Li, Y., et al. (2020), Improvement in cloud retrievals from VIIRS through the use of infrared absorption channels constructed from VIIRS+CrIS data fusion, Atmos. Meas. Tech., 13, 4035-4049, doi:10.5194/amt-13-4035-2020.
Wang, Y., et al. (2019), Ice Cloud Optical Thickness, Effective Radius, And Ice Water Path Inferred From Fused MISR and MODIS Measurements Based on a Pixel‐Level Optimal Ice Particle Roughness Model, J. Geophys. Res., 124, doi:10.1029/2019JD030457.
Wang, Y., et al. (2018), Inference of an Optimal Ice Particle Model through Latitudinal Analysis of MISR and MODIS Data, doi:10.3390/rs10121981.
Yi, B., et al. (2017), A comparison of Aqua MODIS ice and liquid water cloud physical and optical properties between collection 6 and collection 5.1: Pixel-to-pixel comparisons, J. Geophys. Res., 122, 4528-4549, doi:10.1002/2016JD025586.
Yi, B., et al. (2017), A comparison of Aqua MODIS ice and liquid water cloud physical and optical properties between collection 6 and collection 5.1: Cloud radiative effects, J. Geophys. Res., 122, 4550-4564, doi:10.1002/2016JD025654.
Hioki, S., et al. (2016), Degree of ice particle surface roughness inferred from polarimetric observations, Atmos. Chem. Phys., 16, 7545-7558, doi:10.5194/acp-16-7545-2016.
Miller, D., et al. (2016), The impact of cloud vertical profile on liquid water path retrieval based on the bispectral method: A theoretical study based on large-eddy simulations of shallow marine boundary layer clouds, J. Geophys. Res., 121, 4122-4141, doi:10.1002/2015JD024322.
Hamann, U., et al. (2014), Remote sensing of cloud top pressure/height from SEVIRI: analysis of ten current retrieval algorithms, Atmos. Meas. Tech., 7, 2839-2867, doi:10.5194/amt-7-2839-2014.
Cole, B., et al. (2013), Comparison of PARASOL Observations with Polarized Reflectances Simulated Using Different Ice Habit Mixtures, J. Appl. Meteor. Climat., 52, 186-196, doi:10.1175/JAMC-D-12-097.1.
Roebeling, R., et al. (2013), Evaluating And Improving Cloud Parameter Retrievals, Bull. Am. Meteorol. Soc., 94, ES41, doi:10.1175/BAMS-D-12-00041.1.
Segal-Rozenhaimer, M., et al. (2013), Retrieval of cirrus properties by Sun photometry: A new perspective on an old issue, J. Geophys. Res., 118, 4503-4520, doi:10.1002/jgrd.50185.
Smith, N., et al. (2013), A Uniform Space–Time Gridding Algorithm for Comparison of Satellite Data Products: Characterization and Sensitivity Study, J. Appl. Meteor. Climat., 52, 255-268, doi:10.1175/JAMC-D-12-031.1.
Wang, C., et al. (2013), Retrieval of Ice Cloud Properties from AIRS and MODIS Observations Based on a Fast High-Spectral-Resolution Radiative Transfer Model, J. Appl. Meteor. Climat., 52, 710-726, doi:10.1175/JAMC-D-12-020.1.
Wang, C., et al. (2013), A fast radiative transfer model for visible through shortwave infrared spectral reflectances in clear and cloudy atmospheres, J. Quant. Spectrosc. Radiat. Transfer, 116, 122-131, doi:10.1016/j.jqsrt.2012.10.012.
Yang, P., et al. (2013), Spectrally consistent scattering, absorption, and polarization properties of atmospheric ice crystals at wavelengths from 0.2 µm to 100 µm, J. Atmos. Sci., 70, 330-347, doi:10.1175/JAS-D-12-039.1.
van Diedenhoven, B., et al. (2012), Remote sensing of ice crystal asymmetry parameter using multi-directional polarization measurements – Part 1: Methodology and evaluation with simulated measurements, Atmos. Meas. Tech., 5, 2361-2374, doi:10.5194/amt-5-2361-2012.
Wang, C., et al. (2012), A new approach to retrieving cirrus cloud height with a combination of MODIS 1.24- and 1.38-micron channels, Geophys. Res. Lett., 39, L24806, doi:10.1029/2012GL053854.
Weisz, E., et al. (2012), An Approach for Improving Cirrus Cloud-Top Pressure/Height Estimation by Merging High-Spatial-Resolution Infrared-Window Imager Data with High-Spectral-Resolution Sounder Data, J. Appl. Meteor. Climat., 51, 1477-1488, doi:10.1175/JAMC-D-11-0170.1.
Zhou, C., et al. (2012), Study of Horizontally Oriented Ice Crystals with CALIPSO Observations and Comparison with Monte Carlo Radiative Transfer Simulations, J. Appl. Meteor. Climat., 51, 1426-1439, doi:10.1175/JAMC-D-11-0265.1.
Chen, X., et al. (2011), An efficient method for computing atmospheric radiances in clear-sky and cloudy conditions, J. Quant. Spectrosc. Radiat. Transfer, 112, 109-118, doi:10.1016/j.jqsrt.2010.08.013.
Ding, S., et al. (2011), Validation of the community radiative transfer model, J. Quant. Spectrosc. Radiat. Transfer, 112, 1050-1064, doi:10.1016/j.jqsrt.2010.11.009.
Kahn, B., et al. (2011), Impacts of subpixel cloud heterogeneity on infrared thermodynamic phase assessment, J. Geophys. Res., 116, D20201, doi:10.1029/2011JD015774.
Wang, C., et al. (2011), Retrieval of Ice Cloud Optical Thickness and Effective Particle Size Using a Fast Infrared Radiative Transfer Model, J. Appl. Meteor. Climat., 50, 2283-2297, doi:10.1175/JAMC-D-11-067.1.
Xie, Y., et al. (2011), Simulation of the optical properties of plate aggregates for application to the remote sensing of cirrus clouds, Appl. Opt., 50, 1065-1081.
Andrew Heidinger, A.H.A.H., et al. (2010), Using CALIPSO to explore the sensitivity to cirrus height in the infrared observations from NPOESS/VIIRS and GOES‐R/ABI, J. Geophys. Res., 115, D00H20, doi:10.1029/2009JD012152.
Hong, G., et al. (2010), Detecting opaque and nonopaque tropical upper tropospheric ice clouds: A trispectral technique based on the MODIS 8–12 micron window bands, J. Geophys. Res., 115, D20214, doi:10.1029/2010JD014004.
Kindel, B., et al. (2010), Observations and modeling of ice cloud shortwave spectral albedo during the Tropical Composition, Cloud and Climate Coupling Experiment (TC4), J. Geophys. Res., 115, D00J18, doi:10.1029/2009JD013127.
Li, Y., et al. (2010), NOTES AND CORRESPONDENCE Exploration of the MODIS Cloud-Top Property Products for the Investigation of Equatorial Wave Systems, J. Appl. Meteor. Climat., 49, 2050-2057, doi:10.1175/2010JAMC2425.1.
Riedi, J., et al. (2010), Cloud thermodynamic phase inferred from merged POLDER and MODIS data, Atmos. Chem. Phys., 10, 11851-11865, doi:10.5194/acp-10-11851-2010.
Wind, G., et al. (2010), Multilayer Cloud Detection with the MODIS Near-Infrared Water Vapor Absorption Band, J. Appl. Meteor. Climat., 49, 2315-2333, doi:10.1175/2010JAMC2364.1.
Bi, L., et al. (2009), Simulation of the color ratio associated with the backscattering of radiation by ice particles at the wavelengths of 0.532 and 1.064 mm, J. Geophys. Res., 114, D00H08, doi:10.1029/2009JD011759.
Ding, S., et al. (2009), Estimates of radiation over clouds and dust aerosols: Optimized number of terms in phase function expansion, J. Quant. Spectrosc. Radiat. Transfer, 110, 1190-1198, doi:10.1016/j.jqsrt.2009.03.032.
Garrett, K.J., et al. (2009), Influence of Cloud-Top Height and Geometric Thickness on a MODIS Infrared-Based Ice Cloud Retrieval, J. Appl. Meteor. Climat., 48, 818-832, doi:10.1175/2008JAMC1915.1.
Ham, S., et al. (2009), Assessment of the Quality of MODIS Cloud Products from Radiance Simulations, J. Appl. Meteor. Climat., 48, 1591-1612, doi:10.1175/2009JAMC2121.1.
Hong, G., et al. (2009), Parameterization of Shortwave and Longwave Radiative Properties of Ice Clouds for Use in Climate Models, J. Climate, 22, 6287-6312, doi:10.1175/2009JCLI2844.1.
Hu, Y., et al. (2009), CALIPSO/CALIOP Cloud Phase Discrimination Algorithm, J. Atmos. Oceanic Technol., 26, 2293-2309, doi:10.1175/2009JTECHA1280.1.
Zhang, Z., et al. (2009), Influence of ice particle model on satellite ice cloud retrieval: lessons learned from MODIS and POLDER cloud product comparison, Atmos. Chem. Phys., 9, 7115-7129, doi:10.5194/acp-9-7115-2009.
Berthier, S., et al. (2008), Comparison of cloud statistics from spaceborne lidar systems, Atmos. Chem. Phys., 8, 6965-6977, doi:10.5194/acp-8-6965-2008.
Holz, R.E., et al. (2008), Global Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection and height evaluation using CALIOP, J. Geophys. Res., 113, D00A19, doi:10.1029/2008JD009837.
Hong, G., et al. (2008), Relationship between ice water content and equivalent radar reflectivity for clouds consisting of nonspherical ice particles, J. Geophys. Res., 113, D20205, doi:10.1029/2008JD009890.
Menzel, P., et al. (2008), MODIS Global Cloud-Top Pressure and Amount Estimation: Algorithm Description and Results, J. Appl. Meteor. Climat., 47, 1175-1198, doi:10.1175/2007JAMC1705.1.
Yang, P., et al. (2008), Effect of Cavities on the Optical Properties of Bullet Rosettes: Implications for Active and Passive Remote Sensing of Ice Cloud Properties, J. Appl. Meteor. Climat., 47, 2311-2330, doi:10.1175/2008JAMC1905.1.
Hong, G., et al. (2007), High cloud properties from three years of MODIS Terra and Aqua collection 4 data over the tropics, J. Appl. Meteor. Climat., 46, 1840-1856, doi:10.1175/2007JAMC1583.1.
Yang, P., et al. (2007), Differences Between Collection 4 and 5 MODIS Ice Cloud Optical/Microphysical Products and Their Impact on Radiative Forcing Simulations, IEEE Trans. Geosci. Remote Sens., 45, 2886-2899, doi:10.1109/TGRS.2007.898276.
Lee, J., et al. (2006), The Influence of Thermodynamic Phase on the Retrieval of Mixed-Phase Cloud Microphysical and Optical Properties in the Visible and Near-Infrared Region, IEEE Geosci. Remote Sens. Lett., 3, 287-291, doi:10.1109/LGRS.2006.864374.
Lee, Y., et al. (2006), Potential nighttime contamination of CERES clear-sky fields of view by optically thin cirrus during the CRYSTAL-FACE campaign, J. Geophys. Res., 111, D09203, doi:10.1029/2005JD006372.
You, Y., et al. (2006), Sensitivity of depolarized lidar signals to cloud and aerosol particle properties, J. Quant. Spectrosc. Radiat. Transfer, 100, 470-482, doi:10.1016/j.jqsrt.2005.11.058.
Yang, P., et al. (2005), Scattering and absorption property database for nonspherical ice particles in the near- through far-infrared spectral region, Appl. Opt., 44, 5512-5523.
Nasiri, S., and B.A. Baum (2004), Daytime Multilayered Cloud Detection Using Multispectral Imager Data, J. Atmos. Oceanic Technol., 21, 1145-1155.
Platnick, S.E., et al. (2003), The MODIS cloud products: Algorithms and examples From Terra, IEEE Trans. Geosci. Remote Sens., 41, 459-473, doi:10.1109/TGRS.2002.808301.
Chameides, W.L., et al. (1990), Observed and Model-Calculated NO2/NO Ratios in Tropospheric Air Sampled During the NASA GTE/CITE-2 Field Study, J. Geophys. Res., 95, 10,235-10.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

Bryan A. Baum

National Aeronautics and Space Administration

National Aeronautics and
Space Administration