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Most recent
- Schulte, R. M., M. D. Lebsock, and J. M. Haynes, 2023: What CloudSat cannot see: liquid
water content profiles inferred from MODIS and CALIOP observations. Atmos. Meas. Tech., 16,
3531-3546, https://doi.org/10.5194/amt-16-3531-2023.
- Haynes, J. M., Y. J. Noh, S. D. Miller, K. D.
Haynes, I. Ebert-Uphoff, and A. Heidinger, 2022: Low
cloud detection in multilayer scenes using satellite
imagery with machine learning methods. J. Atmos. Ocean.
Technol., https://doi.org/10.1175/JTECH-D-21-0084.1.
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- Noh, Y.-J., J. M. Haynes and Coauthors, 2022: A framework for satellite-based 3D cloud
data: an overview of the VIIRS cloud base height retrieval and user engagement for aviation
applications. Remote Sensing, 14, 5524, https://doi.org/10.3390/rs14215524.
- You, Y., Peters-Lidard, C., Ringerud, S., and
Haynes, J. M., 2021: Evaluation of rainfall-snowfall
separation performance in remote sensing datasets.
Geophys. Res. Lett., 48(21), https://doi.org/10.1029/2021GL094180.
- Lebsock, M., T. S. L'Ecuyer, N. B. Wood, J. M.
Haynes, and M. Smalley, 2020: Status of the CloudSat
mission. Satellite Precipitation Measurement: Volume 1,
V. Levizzani, C. Kidd, D. Kirschbaum, C. Kummerow, K.
Nakamura, and F. J. Turk, Eds., Springer, https://doi.org/10.1007/978-3-030-24568-9.
- Haynes, K. D., I. T. Baker, A. S. Denning, R.
Stöckli, K. Schaefer, E. Y. Lokupitiya,
and J. M. Haynes, 2019a: Representing grasslands using
dynamic prognostic phenology based on biological growth
stages: 1. Implementation in the Simple Biosphere Model
(SiB4). J. Adv. Model. Earth Syst., 11, 4423-4439,
https://doi.org/10.1029/2018MS001540.
- Haynes, K. D., I. T. Baker, A. S. Denning, S. Wolf,
G. Wohlfahrt, G. Kiely, R. C. Minaya, and J. M. Haynes,
2019b: Representing grasslands using dynamic prognostic
phenology based on biological growth stages: Part 2.
carbon cycling. J. Adv. Model. Earth Syst., 11,
4440-4465, https://doi.org/10.1029/2018MS001541.
- Miller, S. D., M. A. Rogers, J. M. Haynes, M.
Sengupta, and A. K. Heidinger, 2017: Short-term solar
irradiance forecasting via satellite/model coupling.
Solar Energy, https://doi.org/10.1016/j.solener.2017.11.049.
- Forsythe, J. M., and J. M. Haynes, 2015: CloudSat
observes a Labrador Sea polar low. Bull. Amer. Meteor.
Soc., 96, 1229-1231, https://doi.org/10.1175/BAMS-D-14-00058.1.
- Mason, S., J. K. Fletcher, J. M. Haynes, C.
Franklin, A. Protat, and C. Jakob, 2015: A hybrid cloud
regime methodology used to evaluate Southern Ocean
cloud and shortwave radiation errors in ACCESS. J.
Climate, 28, 6001-6018, https://doi.org/10.1175/JCLI-D-14-00846.1.
- Smalley, M., T. L'Ecuyer, M. Lebsock, and J.
Haynes, 2014: A comparison of precipitation occurrence
from the NCEP Stage IV QPE product and the CloudSat
Cloud Profiling Radar. J. Hydrometeor, 15, 444-458,
https://doi.org/10.1175/JHM-D-13-048.1.
- Haynes, J. M. , T. H. Vonder Haar, T. L'Ecuyer, and
D. Henderson, 2013: Radiative heating characteristics
of earth's cloudy atmosphere from vertically resolved
active sensors. Geophys. Res. Lett., 40, 624-630,
https://doi.org/10.1002/GRL.50145.
- Miller, S. D., J. M. Forsythe, P. T. Partain, J. M.
Haynes, R. L. Bankert, M. Sengupta, C. Mitrescu, J. D.
Hawkins, and T. H. Vonder Haar, 2014: Estimating
three-dimensional cloud structure via statistically
blended satellite observations. J. Appl. Meteor.
Climatol., 53, 437-455, https://doi.org/10.1175/JAMC-D-13-070.1.
2012 - 2010
(click
to view 8 items)
- Huang, Y., S. T. Siems, M. J. Manton, L. B. Hande,
and J. M. Haynes, 2012: The structure of low-altitude
clouds over the Southern Ocean as seen by CloudSat. J.
Climate, 25, 2535-2546, https://doi.org/10.1175/JCLI-D-11-00131.1.
- Haynes, J. M., C. Jakob, W. B. Rossow, G.
Tselioudis, and J. Brown, 2011: Major characteristics
of Southern Ocean cloud regimes and their effects on
the energy budget. J. Climate, 24, 5061-5080, https://doi.org/10.1175/2011JCLI4052.1.
- Bodas-Salcedo, A., M. J. Webb, S. Bony, H. Chepfer,
J.-L. Dufresne, S. A. Klein, Y. Zhang, R. Marchand, J.
M. Haynes, R. Pincus, and V. O. John, 2011: COSP:
Satellite simulation software for model assessment.
Bull. Amer. Meteor. Soc., 92, 1023-1043, https://doi.org/10.1175/2011BAMS2856.1.
- Govekar, P. D., C. Jakob, M. J. Reeder, and J.
Haynes, 2011: The three-dimensional distribution of
clouds around Southern Hemisphere extratropical
cyclones. Geophys. Res. Lett., 38, L21805, https://doi.org/10.1029/2011GL049091.
- Berg, W., T. L'Ecuyer, and J. M. Haynes, 2010: The
distribution of rainfall over oceans from spaceborne
radars. J. Appl. Meteorol. Clim., 49, 535-543, https://doi.org/10.1175/2009JAMC2330.1.
- Brown, J. R., C. Jakob, and J. M. Haynes, 2010: An
evaluation of rainfall frequency and intensity over the
Australian region in a global climate model. J. Clim.,
23, 6504-6525, https://doi.org/10.1175/2010JCLI3571.1.
- Mitrescu, C., T. L'Ecuyer, J. Haynes, S. Miller,
and J. Turk, 2010: CloudSat precipitation profiling
algorithm-model description. J. Appl. Meteorol. Clim.,
49, 991-1003, https://doi.org/10.1175/2009JAMC2181.1.
- Stephens, G. L., T. L'Ecuyer, R. Forbes, A.
Gettlemen, J. C. Golaz, A. Bodas-Salcedo, K. Suzuki, P.
Gabriel, and J. Haynes 2010: Dreary state of
precipitation in global models. J. Geophys. Res., 115,
D24211, https://doi.org/10.1029/2010JD014532.
2009 - 2007
(click
to view 13 items)
- Haynes, J. M., T. S. L'Ecuyer, G .L. Stephens, S.
D. Miller, C. Mitrescu, N. B. Wood, and S. Tanelli,
2009: Rainfall retrieval over the ocean with spaceborne
W-band radar. J. Geophys. Res., 114, D00A22, https://doi.org/10.1029/2008JD009973.
- Ellis, T. D., T. L'Ecuyer, J. M. Haynes, and G. L.
Stephens, 2009: How often does it rain over the global
oceans? The perspective from CloudSat. Geophys. Res.
Lett., 36, L03815, https://doi.org/10.1029/2008GL036728.
- L'ecuyer, T. S., W. Berg, J. Haynes, M. Lebsock,
and T. Takemura, 2009: Global observations of aerosol
impacts on precipitation occurrence in warm maritime
clouds. J. Geophys. Res., 114, D09211, https://doi.org/10.1029/2008JD011273.
- Marchand, R., J. Haynes, G. G. Mace, T. Ackerman,
and G. Stephens, 2009: A comparison of simulated cloud
radar output from the multiscale modeling framework
global climate model with CloudSat cloud radar
observations. J. Geophys. Res., 114, D00A20, https://doi.org/10.1029/2008JD009790.
- Battaglia, A., J. M. Haynes, T. L'Ecuyer, and C.
Simmer, 2008: Identifying multiple-scattering-affected
profiles in CloudSat observations over the oceans. J.
Geophys. Res., 113, D00A17, https://doi.org/10.1029/2008JD009960.
- Haynes, J. M., 2008: The near-global distribution
of light rain from CloudSat. Ph.D. dissertation,
Colorado State University.
- Luo, Z. Z., G. L. Stephens, K. A. Emanuel, D. G.
Vane, N. D. Tourville, and J. M. Haynes, 2008: On the
use of CloudSat and MODIS data for estimating hurricane
intensity. IEEE Geosci. Remote Sens. Lett., 5, 13-16,
https://doi.org/10.1109/LGRS.2007.905341.
- Stephens, G. L., D. G. Vane, S. Tanelli, E. Im, S.
Durden, M. Rokey, D. Reinke, P. Partain, G. G. Mace, R.
Austin, T. S. L'Ecuyer, J. M. Haynes, M. Lebsock, K.
Suzuki, D. Waliser, D. Wu, J. Kay, A. Gettleman, and Z.
Wang 2008: CloudSat mission: Performance and early
science after the first year of operation. J. Geophys.
Res., 113, D00A18, https://doi.org/10.1029/2008JD009982.
- Tanelli, S., S. L. Durden, E. Im, K. S. Pak, D. G.
Reinke, P. Partain, J. M. Haynes, and R. T. Marchand,
2008: CloudSat's cloud profiling radar after two years
in orbit: Performance, calibration, and processing.
IEEE Trans. Geosci. Remote Sens., 46, 3560-3573,
https://doi.org/10.1109/TGRS.2008.2002030.
- Zhang, Y., S. A. Klein, C. Liu, B. Tian, R. T.
Marchand, J. M. Haynes, R. B. McCoy, Y. Zhang, and T.
P. Ackerman, 2017: The ARM cloud radar simulator for
global climate models: A new tool for bridging field
data and climate models. Bull. Amer. Meteor. Soc.,
https://doi.org/10.1175/BAMS-D-16-0258.1.
- Haynes, J. M., and G. L. Stephens, 2007: Tropical
oceanic cloudiness and the incidence of precipitation:
Early results from CloudSat. Geophys. Res. Lett., 34,
L09811, https://doi.org/10.1029/2007GL029335.
- Haynes, J. M., R. T. Marchand, Z. Luo, A.
Bodas-Salcedo, and G. L. Stephens 2007: A multipurpose
radar simulation package: QuickBeam. Bull. Am.
Meteorol. Soc., 88, 1723-1727, https://doi.org/10.1175/BAMS-88-11-1723.
- Stephens, G. L., and J. M. Haynes, 2007: Near
global observations of the warm rain coalescence
process. Geophys. Res. Lett., 34, L20805, https://doi.org/10.1029/2007GL030259.
2006 and prior years
(click
to view 4 items)
- Mitrescu, C., J. M. Haynes, G. L. Stephens, S. D.
Miller, G. M. Heymsfield, and M. J. McGill, 2005:
Cirrus cloud optical, microphysical, and radiative
properties observed during the CRYSTAL-FACE experiment:
A lidar-radar retrieval system. J. Geophys. Res., 110,
D09208, https://doi.org/10.1029/2004JD005605.
- Benedetti, A., G. L. Stephens, and J. M. Haynes,
2003: Ice cloud microphysics retrievals from millimeter
radar and visible optical depth using an estimation
theory approach. J. Geophys. Res., 108, 4335, https://doi.org/10.1029/2002JD002693.
- Haynes, J. M., 2002: Microphysical properties of
dynamically forced cirrus associated with strong jet
streams and their relation to the synoptic scale flow.
M.S. thesis, Colorado State University.
- Haynes, J. M., 1999: The reliability of La Niña as a predictor of temperature and precipitation. B.S. thesis, The Pennsylvania State University.