Rabi Palikonda

Organization

NASA Langley Research Center

Science Systems and Applications, Inc.

First Author Publications

Palikonda, R., et al. (2005), Contrail coverage derived from 2001 AVHRR data over the continental United States of America and surrounding areas, Meteorologische Zeitschrift, 14, 525-536, doi:10.1127/0941-2948/2005/0051.

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

Co-Authored Publications

Minnis, P., et al. (2021), CERES MODIS Cloud Product Retrievals for Edition 4—Part I: Algorithm Changes, IEEE Trans. Geosci. Remote Sens., 59, 2744-2780, doi:10.1109/TGRS.2020.3008866.
Albrecht, B., et al. (2019), Cloud System Evolution In The Trades (Cset): Following Evolution of Boundary Layer Cloud Systems with the NSF-NCAR GV, Bull. Am. Meteorol. Soc., 100, 93-121, doi:10.1175/BAMS-D-17-0180.1.
Kurzrock, F., et al. (2019), Evaluation of WRF-DART (ARW v3.9.1.1 and DART Manhattan release) multiphase cloud water path assimilation for short-term solar irradiance forecasting in a tropical environment, Geosci. Model. Dev., 12, 3939-3954, doi:10.5194/gmd-12-3939-2019.
Jones, T., et al. (2018), Comparison of Cloud Microphysics Schemes in a Warn-on-Forecast System Using Synthetic Satellite Objects, Jones Et Al., doi:10.1175/WAF-D-18-0112.1.
McHardy, T.M., et al. (2018), Comparison of Daytime Low-Level Cloud Properties Derived From GOES and ARM SGP Measurements, J. Geophys. Res., 123, 8221-8237, doi:10.1029/2018JD028911.
Yost, C.R., et al. (2018), A prototype method for diagnosing high ice water content probability using satellite imager data, Atmos. Meas. Tech., 11, 1615-1637, doi:10.5194/amt-11-1615-2018.
Painemal, D., et al. (2017), Entrainment rate diurnal cycle in marine stratiform clouds estimated from geostationary satellite retrievals and a meteorological forecast model, Geophys. Res. Lett., 44, doi:10.1002/2017GL074481.
Scarino, B., et al. (2017), Global clear-sky surface skin temperature from multiple satellites using a single-channel algorithm with angular anisotropy corrections, Atmos. Meas. Tech., 10, 351-371, doi:10.5194/amt-10-351-2017.
Smith, W.L., et al. (2017), Arctic Radiation-Icebridge Sea And Ice Experiment: The Arctic Radiant Energy System during the Critical Seasonal Ice Transition, Bull. Am. Meteorol. Soc., 1399-1426, doi:10.1175/BAMS-D-14-00277.1.
Creamean, J.M., et al. (2016), The relationships between insoluble precipitation residues, clouds, and precipitation over California’s southern Sierra Nevada during winter storms, Atmos. Environ., 140, 298-310, doi:10.1016/j.atmosenv.2016.06.016.
Jones, T., et al. (2016), Storm-Scale Data Assimilation and Ensemble Forecasting with the NSSL Experimental Warn-on-Forecast System. Part II: Combined Radar and Satellite Data Experiments, Wea. Forecasting, 297, 297-327, doi:10.1175/WAF-D-15-0107.1.
Chen, Y., et al. (2015), Variational Assimilation of Cloud Liquid/Ice Water Path and Its Impact on NWP, J. Appl. Meteor. Climat., 54, 1809-1825, doi:10.1175/JAMC-D-14-0243.1.
Jones, T., et al. (2015), Simultaneous Radar and Satellite Data Storm-Scale Assimilation Using an Ensemble Kalman Filter Approach for 24 May 2011, Mon. Wea. Rev., 143, 165-194, doi:10.1175/MWR-D-14-00180.1.
Painemal, D., et al. (2015), Mean Structure and Diurnal Cycle of Southeast Atlantic Boundary Layer Clouds: Insights from Satellite Observations and Multiscale Modeling Framework Simulations, J. Climate, 28, 324-341, doi:10.1175/JCLI-D-14-00368.1.
Wood, R., et al. (2015), Clouds, Aerosols, And Precipitation In The Marine Boundary Layer: An ARM Mobile Facility Deployment, Bull. Am. Meteorol. Soc., 419.
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.
Painemal, D., et al. (2014), Mean Structure and diurnal cycle of Southeast Atlantic boundary layer clouds: Insights from satellite observations and multiscale modeling framework simulations, J. Climate-46 (submitted).
Bedka, S., et al. (2013), Properties of linear contrails in the Northern Hemisphere derived from 2006 Aqua MODIS observations, Geophys. Res. Lett., 40, 1-6, doi:10.1029/2012GL054363.
Jones, T., et al. (2013), Evaluation of a Forward Operator to Assimilate Cloud Water Path into WRF-DART, Mon. Wea. Rev., 141, 2272-2289, doi:10.1175/MWR-D-12-00238.1.
Mecikalski, J., et al. (2013), Use of satellite derived cloud properties to quantify growing cumulus beneath cirrus clouds, Atmos. Res., 120–121, 192-201, doi:10.1016/j.atmosres.2012.08.017.
Minnis, P., et al. (2013), Linear contrail and contrail cirrus properties determined from satellite data, Geophys. Res. Lett., 40, 3220-3226, doi:10.1002/grl.50569.
Scarino, B., et al. (2013), Retrieving Clear-Sky Surface Skin Temperature for Numerical Weather Prediction Applications from Geostationary Satellite Data, Remote Sens., 5, 342-366, doi:10.3390/rs5010342.
Spangenberg, D., et al. (2013), Contrail radiative forcing over the Northern Hemisphere from 2006 Aqua MODIS data, Geophys. Res. Lett., 40, 1-6, doi:10.1002/GRL.50168.
Jean-Paul, J.J., et al. (2013), Comment on “Large Volcanic Aerosol Load in the Stratosphere Linked to Asian Monsoon Transport”, Science, 339, 647-d, doi:10.1126/science.1227817.
Smith, W.L., et al. (2012), Determining the Flight Icing Threat to Aircraft with Single-Layer Cloud Parameters Derived from Operational Satellite Data, J. Appl. Meteor. Climat., 51, 1794-1810, doi:10.1175/JAMC-D-12-057.1.
Minnis, P., et al. (2011), CERES Edition-2 cloud property retrievals using TRMM VIRS and Terra and Aqua MODIS data, Part II: Examples of average results and comparisons with other data, IEEE Trans. Geosci. Remote Sens., 49, 11-2892).
Minnis, P., et al. (2011), CERES Edition-2 Cloud Property Retrievals Using TRMM VIRS and Terra and Aqua MODIS Data—Part II: Examples of Average Results and Comparisons With Other Data, IEEE Trans. Geosci. Remote Sens., 49, 4401-4430, doi:10.1109/TGRS.2011.2144602.
Wood, R., et al. (2011), The VAMOS Ocean-Cloud-Atmosphere-Land Study Regional Experiment (VOCALS-REx): goals, platforms, and field operations, Atmos. Chem. Phys., 11, 627-654, doi:10.5194/acp-11-627-2011.
Chang, F., et al. (2010), A modified method for inferring upper troposphere cloud top height using the GOES 12 imager 10.7 and 13.3 mm data, J. Geophys. Res., 115, D06208, doi:10.1029/2009JD012304.
Chang, F., et al. (2010), Evaluation of satellite‐based upper troposphere cloud top height retrievals in multilayer cloud conditions during TC4, J. Geophys. Res., 115, D00J05, doi:10.1029/2009JD013305.
Duda, D., et al. (2009), Relating observations of contrail persistence to numerical weather analysis output, Atmos. Chem. Phys., 9, 1357-1364, doi:10.5194/acp-9-1357-2009.
Yost, C.R., et al. (2009), Parameterization of cirrus microphysical property profiles using GOES, CloudSat, and CALIPSO data. Eos Trans., AGU, 90, 14-17.
Smith, W.L., et al. (2008), An evaluation of operational GOES-derived single-layer cloud top heights with ARSCL data over the ARM Southern Great Plains Site, Geophys. Res. Lett., 35, L13820, doi:10.1029/2008GL034275.
Duda, D., et al. (2005), Estimated contrail frequency and coverage over the contiguous United States from numerical weather prediction analyses and flight track data, Meteorologische Zeitschrift, 14, 537-548, doi:10.1127/0941-2948/2005/0050.
Minnis, P., et al. (2005), Contrail properties over the eastern North Pacific from AVHRR data, Meteorologische Zeitschrift, 14, 515-523, doi:10.1127/0941-2948/2005/0056.
Duda, D., et al. (2004), A Case Study of the Development of Contrail Clusters over the Great Lakes, J. Atmos. Sci., 61, 1132-1146.
Minnis, P., et al. (2004), Contrails, Cirrus Trends, and Climate, J. Climate, 17, 1671-1685.

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

Rabi Palikonda

National Aeronautics and Space Administration

National Aeronautics and
Space Administration