Paul Menzel

Organization

University of Wisconsin–Madison

Email

Contact person by email

Business Phone

Work

:

(608) 263-4930

Business Address

Cooperative Institute for Meteorological Satellite Studies
Space Science and Engineering Center
Madison, WI
United States

First Author Publications

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.

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

Co-Authored Publications

Xue, Y., et al. (2022), Characteristics of Satellite Sampling Errors in Total Precipitable Water from SSMIS, HIRS, and COSMIC Observations, J. Geophys. Res..
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.
Foster, M.J., et al. (2020), State of the Climate in 2019: Cloudiness [in “State of the Climate in 2019”], Bull. Am. Meteor. Soc., 101, S51-S53, doi:10.1175/BAMS-D-20-0104.1.
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.
Frey, R.A., and P. Menzel (2019), Observed HIRS and MODIS High-Cloud Frequencies in the 2000s, J. Appl. Meteor. Climat., 58, 2469-2478, doi:10.1175/JAMC-D-19-0060.1.
Moeller, C., et al. (2014), Review of Terra MODIS thermal emissive band L1B radiometric performance, Proc. of SPIE, 9218, 92180T-1, doi:10.1117/12.2062138.
Murino, L., et al. (2014), Cloud Detection of MODIS Multispectral Images, J. Atmos. Oceanic Technol., 31, 347-365, doi:10.1175/JTECH-D-13-00088.1.
Gladkova, I., et al. (2013), Impact of the Aqua MODIS Band 6 Restoration on Cloud/Snow Discrimination, J. Atmos. Oceanic Technol., 30, 2712-2719, doi:10.1175/JTECH-D-13-00066.1.
Kabatas, B., et al. (2013), Comparing Ship-Track Droplet Sizes Inferred from Terra and Aqua MODIS Data, J. Appl. Meteor. Climat., 52, 230-241, doi:10.1175/JAMC-D-11-0232.1.
King, M.D., et al. (2013), Spatial and Temporal Distribution of Clouds Observed by MODIS Onboard the Terra and Aqua Satellites, IEEE Trans. Geosci. Remote Sens., 51, 3826-3852, doi:10.1109/TGRS.2012.2227333.
Kolat, U., et al. (2013), Very high cloud detection in more than two decades of HIRS data, J. Geophys. Res., 118, 3278-3284, doi:10.1029/2012JD018496.
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.
Stubenrauch, C.J., et al. (2013), Assessment Of Global Cloud Datasets From Satellites: Project and Database Initiated by the GEWEX Radiation Panel, Bull. Am. Meteorol. Soc., 1031-1049, doi:10.1175/BAMS-D-12-00117.1.
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.
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.
Joiner, J., et al. (2010), Detection of multi-layer and vertically-extended clouds using A-train sensors, Atmos. Meas. Tech., 3, 233-247.
Gunshor, M.M., et al. (2009), Intercalibration of Broadband Geostationary Imagers Using AIRS, J. Atmos. Oceanic Technol., 26, 746-758, doi:10.1175/2008JTECHA1155.1.
Borbas, E., et al. (2008), Deriving Atmospheric Temperature of the Tropopause Region–Upper Troposphere by Combining Information from GPS Radio Occultation Refractivity and High-Spectral-Resolution Infrared Radiance Measurements, J. Appl. Meteor. Climat., 47, 2300-2310, doi:10.1175/2008JAMC1687.1.
Nazaryan, H., et al. (2008), Global characterization of cirrus clouds using CALIPSO data, J. Geophys. Res., 113, D16211, doi:10.1029/2007JD009481.
Plokhenko, Y., et al. (2008), Analysis of multispectral fields of satellite IR measurements: Using statistics of second spatial differential of spectral fields for measurement characterization, Aerosol Sci. Tech., 29, 2105-2125, doi:10.1080/01431160701268988.
Li, Z., et al. (2007), Comparison between current and future environmental satellite imagers on cloud classification using MODIS, Remote Sensing of Environment, 108, 311-326, doi:10.1016/j.rse.2006.11.023.
Rink, T., et al. (2007), Introducing HYDRA A Multispectral Data Analysis Toolkit, Bull. Am. Meteorol. Soc., 159-166, doi:10.1175/BAMS-88-2-159.
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.
Li, J., et al. (2005), Optimal Cloud-Clearing for AIRS Radiances Using MODIS, IEEE Trans. Geosci. Remote Sens., 43, 1266-1278, doi:10.1109/TGRS.2005.847795.
Li, J., et al. (2005), Retrieval of Cloud Microphysical Properties from MODIS and AIRS, J. Appl. Meteor., 44, 1526-1543.
Wu, X., et al. (2005), Evaluation of AIRS cloud properties using MPACE data, Geophys. Res. Lett., 32, L24819, doi:10.1029/2005GL024400.
Li, J., et al. (2004), AIRS Subpixel Cloud Characterization Using MODIS Cloud Products, J. Appl. Meteor., 43, 1083-1094.
Liu, Y., et al. (2004), Nighttime polar cloud detection with MODIS, Remote Sensing of Environment, 92, 181-194, doi:10.1016/j.rse.2004.06.004.
Key, J.R., et al. (2003), Cloud-Drift and Water Vapor Winds in the Polar Regions From MODIS, IEEE Trans. Geosci. Remote Sens., 41, 482-492, doi:10.1109/TGRS.2002.808238.
King, M.D., et al. (2003), Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS, IEEE Trans. Geosci. Remote Sens., 41, 442-458, doi:10.1109/TGRS.2002.808226.
Li, J., et al. (2003), High-Spatial-Resolution Surface and Cloud-Type Classification from MODIS Multispectral Band Measurements, J. Appl. Meteor., 42, 204-226.
Moeller, C., et al. (2003), Evaluation of MODIS thermal IR band L1B radiances during SAFARI 2000, J. Geophys. Res., 108, 8494, doi:10.1029/2002JD002323.
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.
Seemann, S.W., et al. (2003), Operational Retrieval of Atmospheric Temperature, Moisture, and Ozone from MODIS Infrared Radiances, J. Appl. Meteor., 42, 1072-1091.
Zhang, H., and P. Menzel (2002), Improvement in thin cirrus retrievals using an emissivity-adjusted CO2 slicing algorithm, J. Geophys. Res., 107, 4327, doi:10.1029/2001JD001037.
Chedzey, H., et al. (2001), remote sensing Technical Note Changes in HIRS Detection of Cloud over Australia from 1985 to 2001, Remote Sens., 2021, 917, doi:10.3390/rs13050917.
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.
Borbas, E., et al. (2000), remote sensing Technical Note Observed HIRS and Aqua MODIS Thermal Infrared Moisture Determinations in the 2000s, Remote Sens., 2021, 502, doi:10.3390/rs13030502.
King, M.D., et al. (1996), Airborne Scanning Spectrometer for Remote Sensing of Cloud, Aerosol, Water Vapor, and Surface Properties, J. Atmos. Oceanic Technol., 13, 777-794, doi:10.1175/1520-0426(1996)013.

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

National Aeronautics and Space Administration

National Aeronautics and
Space Administration