David Painemal
Organization:
NASA Langley Research Center
Email:
Business Address:
Hampton, VA
United StatesFirst Author Publications:
- Painemal, D., et al. (2021), All Rights Reserved. An Overview of Atmospheric Features Over the Western North Atlantic Ocean and North American East Coast— Part 2: Circulation, Boundary Layer, and Clouds, J. Geophys. Res., 126, e2020JD033423, doi:10.1029/2020JD033423.
- Painemal, D., et al. (2020), Reducing uncertainties in satellite estimates of aerosol–cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations, Atmos. Chem. Phys., 20, 7167-7177, doi:10.5194/acp-20-7167-2020.
- Painemal, D., et al. (2017), Aerosol and cloud microphysics covariability in the northeast Pacific boundary layer estimated with ship-based and satellite remote sensing observations, J. Geophys. Res., 122, 2403-2418, doi:10.1002/2016JD025771.
- 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.
- Painemal, D., et al. (2016), First extended validation of satellite microwave liquid water path with ship-based observations of marine low clouds, Geophys. Res. Lett., 43, doi:10.1002/2016GL069061.
- 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.
- Painemal, D., P. Minnis, and M. Nordeen (2015), Aerosol variability, synoptic-scale processes, and their link to the cloud microphysics over the northeast Pacific during MAGIC, J. Geophys. Res., 120, doi:10.1002/2015JD023175.
- 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 (submitted).
- Painemal, D., S. Kato, and P. Minnis (2014), Boundary layer regulation in the southeast Atlantic cloud microphysics during the biomass burning season as seen by the A-train satellite constellation, J. Geophys. Res., 119, doi:10.1002/2014JD022182.
- Painemal, D., P. Minnis, and S. Sun-Mack (2013), The impact of horizontal heterogeneities, cloud fraction, and liquid water path on warm cloud effective radii from CERES-like Aqua MODIS retrievals, Atmos. Chem. Phys., 13, 9997-10003, doi:10.5194/acp-13-9997-2013.
- Painemal, D., P. Minnis, and L. O’Neill (2013), The Diurnal Cycle of Cloud-Top Height and Cloud Cover over the Southeastern Pacific as Observed by GOES-10, J. Atmos. Sci., 70, 2393-2408, doi:10.1175/JAS-D-12-0325.1.
- Painemal, D., and P. Minnis (2012), On the dependence of albedo on cloud microphysics over marine stratocumulus clouds regimes determined from Clouds and the Earth’s Radiant Energy System (CERES) data, J. Geophys. Res., 117, D06203, doi:10.1029/2011JD017120.
- Painemal, D., et al. (2012), GOES-10 microphysical retrievals in marine warm clouds: Multi-instrument validation and daytime cycle over the southeast Pacific, J. Geophys. Res., 117, D19212, doi:10.1029/2012JD017822.
- Painemal, D., and P. Zuidema (2010), Microphysical variability in southeast Pacific Stratocumulus clouds: synoptic conditions and radiative response, Atmos. Chem. Phys., 10, 6255-6269, doi:10.5194/acp-10-6255-2010.
Co-Authored Publications:
- Gryspeerdt, E., et al. (2022), The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data, Atmos. Meas. Tech., doi:10.5194/amt-2021-371.
- Tornow, F., et al. (2022), Dilution of Boundary Layer Cloud Condensation Nucleus Concentrations by Free Tropospheric Entrainment During Marine Cold Air Outbreaks, Geophys. Res. Lett..
- Aldhaif, A. M., et al. (2021), An Aerosol Climatology and Implications for Clouds at a Remote Marine Site: Case Study Over Bermuda, J. Geophys. Res., 126, doi:10.1029/2020JD034038.
- Corral, A., et al. (2021), All Rights Reserved. An Overview of Atmospheric Features Over the Western North Atlantic Ocean and North American East Coast – Part 1: Analysis of Aerosols, Gases, and Wet Deposition Chemistry, J. Geophys. Res., 126, e2020JD032592, doi:10.1029/2020JD032592.
- Dadashazar, H., et al. (2021), Cloud drop number concentrations over the western North Atlantic Ocean: seasonal cycle, aerosol interrelationships, and other influential factors, Atmos. Chem. Phys., 21, 10499-10526, doi:10.5194/acp-21-10499-2021.
- Doherty, S., et al. (2021), Modeled and observed properties related to the direct aerosol radiative effect of biomass burning aerosol over the Southeast Atlantic, Atmos. Chem. Phys., doi:10.5194/acp-2021-333.
- Doherty, S., et al. (2021), Modeled and observed properties related to the direct aerosol radiative effect of biomass burning aerosol over the Southeast Atlantic, Atmos. Chem. Phys., doi:10.5194/acp-2021-333 (submitted).
- Mardi, A. H., et al. (2021), Biomass Burning Over the United States East Coast and Western North Atlantic Ocean: Implications for Clouds and Air Quality, J. Geophys. Res., 126, e2021JD034916, doi:10.1029/2021JD034916.
- 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.
- Seethala, C., et al. (2021), On Assessing ERA5 and MERRA2 Representations of Cold-Air Outbreaks Across the Gulf Stream, Geophys. Res. Lett..
- Sorooshian, A., et al. (2020), Atmospheric Research Over the Western North Atlantic Ocean Region and North American East Coast: A Review of Past Work and Challenges Ahead, J. Geophys. Res., 125, e2019JD031626, doi:10.1029/2019JD031626.
- Sorooshian, A., et al. (2019), Aerosol–Cloud–Meteorology Interaction Airborne Field Investigations: Using Lessons Learned from the U.S. West Coast in the Design of ACTIVATE off the U.S. East Coast, Bull. Am. Meteorol. Soc., 1511-1528, doi:10.1175/BAMS-D-18-0100.1.
- 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.