Jay Mace
Organization:
University of Utah
Email:
Business Address:
Department of Atmospheric Sciences
135 South 1460 East Rm 819
Salt Lake City, UT 84112-0110
United StatesFirst Author Publications:
- Mace, J., et al. (2016), Retrieving co-occurring cloud and precipitation properties of warm marine boundary layer clouds with A-Train data, J. Geophys. Res., 121, 4008-4033, doi:10.1002/2015JD023681.
- Mace, J., and Q. Zhang (2014), The CloudSat radar-lidar geometrical profile product (RL-GeoProf): Updates, improvements, and selected results, J. Geophys. Res., 119, 9441-9462, doi:10.1002/2013JD021374.
- Mace, J., and F. J. Wrenn (2013), Evaluation of the Hydrometeor Layers in the East and West Pacific within ISCCP Cloud-Top Pressure–Optical Depth Bins Using Merged CloudSat and CALIPSO Data, J. Climate, 26, 9429-9444, doi:10.1175/JCLI-D-12-00207.1.
- Mace, J. (2010), Cloud properties and radiative forcing over the maritime storm tracks of the Southern Ocean and North Atlantic derived from A‐Train, J. Geophys. Res., 115, D10201, doi:10.1029/2009JD012517.
- Mace, J., et al. (2007), Global hydrometeor occurrence as observed by CloudSat: Initial observations from summer 2006, Geophys. Res. Lett., 34, L09808, doi:10.1029/2006GL029017.
- Mace, J., et al. (2006), Cloud radiative forcing at the Atmospheric Radiation Measurement Program Climate Research Facility: 1. Technique, validation, and comparison to satellite-derived diagnostic quantities, J. Geophys. Res., 111, D11S90, doi:10.1029/2005JD005921.
- Mace, J., et al. (2005), Evaluation of Cirrus Cloud Properties Derived from MODIS Data Using Cloud Properties Derived from Ground-Based Observations Collected at the ARM SGP Site, J. Appl. Meteor., 44, 221-240.
Co-Authored Publications:
- Ham, S., et al. (2017), Cloud occurrences and cloud radiative effects (CREs) from CERES-CALIPSO-CloudSat-MODIS (CCCM) and CloudSat radar-lidar (RL) products, J. Geophys. Res., 122, doi:10.1002/2017JD026725.
- Deng, M., J. Mace, and Z. Wang (2016), Anvil Productivities of Tropical Deep Convective Clusters and Their Regional Differences, J. Atmos. Sci., 73, 3467-3487, doi:10.1175/JAS-D-15-0239.1.
- Berry, E., and J. Mace (2014), Cloud properties and radiative effects of the Asian summer monsoon derived from A-Train data, J. Geophys. Res., 119, 9492-9508, doi:10.1002/2014JD021458.
- Berry, E., and J. Mace (2013), Cirrus Cloud Properties and the Large-Scale Meteorological Environment: Relationships Derived from A-Train and NCEP–NCAR Reanalysis Data, J. Appl. Meteor. Climat., 52, 1253-1276, doi:10.1175/JAMC-D-12-0102.1.
- Deng, M., et al. (2013), Evaluation of Several A-Train Ice Cloud Retrieval Products with In Situ Measurements Collected during the SPARTICUS Campaign, J. Appl. Meteor. Climat., 52, 1014-1030, doi:10.1175/JAMC-D-12-054.1.
- Deng, M., et al. (2010), Tropical Composition, Cloud and Climate Coupling Experiment validation for cirrus cloud profiling retrieval using CloudSat radar and CALIPSO lidar, J. Geophys. Res., 115, D00J15, doi:10.1029/2009JD013104.
- Toon, B., et al. (2010), Planning, implementation, and first results of the Tropical Composition, Cloud and Climate Coupling Experiment (TC4), J. Geophys. Res., 115, D00J04, doi:10.1029/2009JD013073.
- Dong, X., et al. (2008), Using observations of deep convective systems to constrain atmospheric column absorption of solar radiation in the optically thick limit, J. Geophys. Res., 113, D10206, doi:10.1029/2007JD009769.
- 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.
- Stephens, G., et al. (2008), CloudSat mission: Performance and early science after the first year of operation, J. Geophys. Res., 113, D00A18, doi:10.1029/2008JD009982.
- Garrett, T., et al. (2007), Observing cirrus halos to constrain in-situ measurements of ice crystal size 1 1 1 2, Atmos. Chem. Phys. Discuss., 7, 1295-1325.
- Minnis, P., et al. (2007), Ice cloud properties in ice-over-water cloud systems using Tropical Rainfall Measuring Mission (TRMM) visible and infrared scanner and TRMM Microwave Imager data, J. Geophys. Res., 112, D06206, doi:10.1029/2006JD007626.
- Garrett, T., et al. (2006), Convective formation of pileus cloud near the tropopause, Atmos. Chem. Phys., 6, 1185-1200, doi:10.5194/acp-6-1185-2006.
- Zhang, Y., and J. Mace (2006), Retrieval of Cirrus Microphysical Properties with a Suite of Algorithms for Airborne and Spaceborne Lidar, Radar, and Radiometer Data, J. Appl. Meteor. Climat., 45, 1665-1689.
- Baum, B. A., et al. (2003), Nighttime Multilayered Cloud Detection Using MODIS and ARM Data, J. Appl. Meteor., 42, 905-919.
- Westphal, D. L., et al. (1996), Initialization and validation of a simulation of cirrus using FIRE-II Data, J. Atmos. Sci., 53, 3397-3429.