Articles | Volume 22, issue 16
https://doi.org/10.5194/acp-22-10527-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-10527-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Weakening of tropical sea breeze convective systems through interactions of aerosol, radiation, and soil moisture
Department of Atmospheric Science, Colorado State University, Fort
Collins, Colorado, USA
Environmental and Climate Sciences Department, Brookhaven National
Laboratory, Upton, New York, USA
Susan C. van den Heever
Department of Atmospheric Science, Colorado State University, Fort
Collins, Colorado, USA
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Jeffrey S. Reid, Robert E. Holz, Chris A. Hostetler, Richard A. Ferrare, Juli I. Rubin, Elizabeth J. Thompson, Susan C. van den Heever, Corey G. Amiot, Sharon P. Burton, Joshua P. DiGangi, Glenn S. Diskin, Joshua H. Cossuth, Daniel P. Eleuterio, Edwin W. Eloranta, Ralph Kuehn, Willem J. Marais, Hal B. Maring, Armin Sorooshian, Kenneth L. Thornhill, Charles R. Trepte, Jian Wang, Peng Xian, and Luke D. Ziemba
EGUsphere, https://doi.org/10.5194/egusphere-2025-2605, https://doi.org/10.5194/egusphere-2025-2605, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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We document air and ship born measurements of the vertical distribution of pollution and biomass burning aerosol particles transported within the Maritime Continent’s monsoonal flows for 1000’s of kilometers, and yet still exhibit intricate patterns around clouds near the ocean’s surface. Findings demonstrate that, while aerosol transport occurs near the surface, there is heterogeneity in particle extinction that must be considered for both in situ observations and satellite retrievals.
Sean W. Freeman, Jennie Bukowski, Leah D. Grant, Peter J. Marinescu, J. Minnie Park, Stacey M. Hitchcock, Christine A. Neumaier, and Susan C. van den Heever
EGUsphere, https://doi.org/10.5194/egusphere-2024-2425, https://doi.org/10.5194/egusphere-2024-2425, 2025
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In this work, we tested different placements of a temperature and humidity sensor onboard a drone to understand what the relative errors are. Understanding these errors is critical as we want to collect more meteorological data from non-specialized platforms, such as drone swarms and drone package delivery.
Corey G. Amiot, Timothy J. Lang, Susan C. van den Heever, Richard A. Ferrare, Ousmane O. Sy, Lawrence D. Carey, Sundar A. Christopher, John R. Mecikalski, Sean W. Freeman, George Alexander Sokolowsky, Chris A. Hostetler, and Simone Tanelli
EGUsphere, https://doi.org/10.5194/egusphere-2024-2384, https://doi.org/10.5194/egusphere-2024-2384, 2024
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Decoupling aerosol and environmental impacts on convection is challenging. Using airborne data, we correlated microwave-frequency convective metrics with aerosol concentrations in several different environments. Medium-to-high aerosol concentrations were often strongly and positively correlated with convective intensity and frequency, especially in favorable environments based on temperature lapse rates and K-Index. Storm environment is important to consider when evaluating aerosol effects.
Dié Wang, Roni Kobrosly, Tao Zhang, Tamanna Subba, Susan van den Heever, Siddhant Gupta, and Michael Jensen
EGUsphere, https://doi.org/10.5194/egusphere-2024-2436, https://doi.org/10.5194/egusphere-2024-2436, 2024
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We use a new method to understand how tiny particles in the air, called aerosols, affect rain clouds in the Houston-Galveston area. Aerosols generally do not make these clouds grow much taller, with an average height increase of about 1 km under certain conditions. However, their effects on rainfall strength and cloud expansion are less certain. Clouds influenced by sea breezes show a stronger aerosol impact, possibly due to unaccounted factors like vertical winds in near-surface layers.
G. Alexander Sokolowsky, Sean W. Freeman, William K. Jones, Julia Kukulies, Fabian Senf, Peter J. Marinescu, Max Heikenfeld, Kelcy N. Brunner, Eric C. Bruning, Scott M. Collis, Robert C. Jackson, Gabrielle R. Leung, Nils Pfeifer, Bhupendra A. Raut, Stephen M. Saleeby, Philip Stier, and Susan C. van den Heever
Geosci. Model Dev., 17, 5309–5330, https://doi.org/10.5194/gmd-17-5309-2024, https://doi.org/10.5194/gmd-17-5309-2024, 2024
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Building on previous analysis tools developed for atmospheric science, the original release of the Tracking and Object-Based Analysis (tobac) Python package, v1.2, was open-source, modular, and insensitive to the type of gridded input data. Here, we present the latest version of tobac, v1.5, which substantially improves scientific capabilities and computational efficiency from the previous version. These enhancements permit new uses for tobac in atmospheric science and potentially other fields.
Gabrielle R. Leung, Stephen M. Saleeby, G. Alexander Sokolowsky, Sean W. Freeman, and Susan C. van den Heever
Atmos. Chem. Phys., 23, 5263–5278, https://doi.org/10.5194/acp-23-5263-2023, https://doi.org/10.5194/acp-23-5263-2023, 2023
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This study uses a suite of high-resolution simulations to explore how the concentration and type of aerosol particles impact shallow tropical clouds and the overall aerosol budget. Under more-polluted conditions, there are more aerosol particles present, but we also find that clouds are less able to remove those aerosol particles via rainout. Instead, those aerosol particles are more likely to be detrained aloft and remain in the atmosphere for further aerosol–cloud interactions.
Ewan Crosbie, Luke D. Ziemba, Michael A. Shook, Claire E. Robinson, Edward L. Winstead, K. Lee Thornhill, Rachel A. Braun, Alexander B. MacDonald, Connor Stahl, Armin Sorooshian, Susan C. van den Heever, Joshua P. DiGangi, Glenn S. Diskin, Sarah Woods, Paola Bañaga, Matthew D. Brown, Francesca Gallo, Miguel Ricardo A. Hilario, Carolyn E. Jordan, Gabrielle R. Leung, Richard H. Moore, Kevin J. Sanchez, Taylor J. Shingler, and Elizabeth B. Wiggins
Atmos. Chem. Phys., 22, 13269–13302, https://doi.org/10.5194/acp-22-13269-2022, https://doi.org/10.5194/acp-22-13269-2022, 2022
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The linkage between cloud droplet and aerosol particle chemical composition was analyzed using samples collected in a polluted tropical marine environment. Variations in the droplet composition were related to physical and dynamical processes in clouds to assess their relative significance across three cases that spanned a range of rainfall amounts. In spite of the pollution, sea salt still remained a major contributor to the droplet composition and was preferentially enhanced in rainwater.
Eva-Lou Edwards, Jeffrey S. Reid, Peng Xian, Sharon P. Burton, Anthony L. Cook, Ewan C. Crosbie, Marta A. Fenn, Richard A. Ferrare, Sean W. Freeman, John W. Hair, David B. Harper, Chris A. Hostetler, Claire E. Robinson, Amy Jo Scarino, Michael A. Shook, G. Alexander Sokolowsky, Susan C. van den Heever, Edward L. Winstead, Sarah Woods, Luke D. Ziemba, and Armin Sorooshian
Atmos. Chem. Phys., 22, 12961–12983, https://doi.org/10.5194/acp-22-12961-2022, https://doi.org/10.5194/acp-22-12961-2022, 2022
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This study compares NAAPS-RA model simulations of aerosol optical thickness (AOT) and extinction to those retrieved with a high spectral resolution lidar near the Philippines. Agreement for AOT was good, and extinction agreement was strongest below 1500 m. Substituting dropsonde relative humidities into NAAPS-RA did not drastically improve agreement, and we discuss potential reasons why. Accurately modeling future conditions in this region is crucial due to its susceptibility to climate change.
Mariko Oue, Stephen M. Saleeby, Peter J. Marinescu, Pavlos Kollias, and Susan C. van den Heever
Atmos. Meas. Tech., 15, 4931–4950, https://doi.org/10.5194/amt-15-4931-2022, https://doi.org/10.5194/amt-15-4931-2022, 2022
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This study provides an optimization of radar observation strategies to better capture convective cell evolution in clean and polluted environments as well as a technique for the optimization. The suggested optimized radar observation strategy is to better capture updrafts at middle and upper altitudes and precipitation particle evolution of isolated deep convective clouds. This study sheds light on the challenge of designing remote sensing observation strategies in pre-field campaign periods.
Cited articles
Adams, A. M., Prospero, J. M., and Zhang, C.: CALIPSO-Derived
Three-Dimensional Structure of Aerosol over the Atlantic Basin and Adjacent
Continents, J. Climate, 25, 6862–6879, https://doi.org/10.1175/JCLI-D-11-00672.1, 2012.
Albrecht, B. A.: Aerosols, Cloud Microphysics, and Fractional Cloudiness,
Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989.
Altaratz, O., Koren, I., Reisin, T., Kostinski, A., Feingold, G., Levin, Z., and Yin, Y.: Aerosols' influence on the interplay between condensation, evaporation and rain in warm cumulus cloud, Atmos. Chem. Phys., 8, 15–24, https://doi.org/10.5194/acp-8-15-2008, 2008.
Andreae, M. O., Chapuis, A., Cros, B., Fontan, J., Helas, G., Justice, C.,
Kaufman, Y. J., Minga, A., and Nganga, D.: Ozone and Aitken nuclei over
equatorial Africa: Airborne observations during DECAFE 88, J. Geophys. Res.,
97, 6137–6148, https://doi.org/10.1029/91JD00961, 1992.
Andreae, M. O., Rosenfeld, D., Artaxo, P., Costa, A. A., Frank, G. P.,
Longo, K. M., and Silva-Dias, M. A. F.: Smoking Rain Clouds over the Amazon,
Science, 303, 1337–1342, https://doi.org/10.1126/science.1092779, 2004.
Atwater, M. A.: Planetary Albedo Changes Due to Aerosols, Science, 170,
64–66, https://doi.org/10.1126/science.170.3953.64, 1970.
Azorin-Molina, C., Tijm, S., Ebert, E. E., Vicente-Serrano, S. M., and
Estrela, M. J.: Sea breeze Thunderstorms in the Eastern Iberian Peninsula.
Neighborhood Verification of HIRLAM and HARMONIE Precipitation Forecasts,
Atmos. Res., 139, 101–115, https://doi.org/10.1016/j.atmosres.2014.01.010, 2014.
Banta, R. M., Pichugina, Y. L., Brewer, W. A., Choukulkar, A., Lantz, K. O.,
Olson, J. B., Kenyon, J., Fernando, H. J. S., Krishnamurthy, R., Stoelinga,
M. J., Sharp, J., Darby, L. S., Turner, D. D., Baidar, S., and Sandberg, S.
P.: Characterizing NWP Model Errors Using Doppler-Lidar Measurements of
Recurrent Regional Diurnal Flows: Marine-Air Intrusions into the Columbia
River Basin, Mon. Weather Rev., 148, 929–953, https://doi.org/10.1175/MWR-D-19-0188.1, 2020.
Bergemann, M. and Jakob, C.: How Important is Tropospheric Humidity for
Coastal Rainfall in the Tropics?, Geophys. Res. Lett., 43, 5860–5868,
https://doi.org/10.1002/2016GL069255, 2016.
Bergemann, M., Khouider, B., and Jakob, C.: Coastal Tropical Convection in a
Stochastic Modeling Framework, J. Adv. Model. Earth Sy., 9, 2561–2582,
https://doi.org/10.1002/2017MS001048, 2017.
Boyle, J. and Klein, S. A.: Impact of Horizontal Resolution on Climate Model
forecasts of Tropical Precipitation and Diabatic Heating for the TWP-ICE
Period, J. Geophys. Res., 115, D23113, https://doi.org/10.1029/2010JD014262, 2010.
Brown, A. L., Vincent, C. L., Lane, T. P., Short, E., and Nguyen, H.:
Scatterometer Estimates of the Tropical Sea-Breeze Circulation near Darwin,
with Comparison to Regional Models, Q. J. Roy. Meteor. Soc., 143, 2818–2831,
https://doi.org/10.1002/qj.3131, 2017.
Chakraborty, S., Fu, R., Wright, J. S., and Massie, S. T.: Relationships
between convective structure and transport of aerosols to the upper
troposphere deduced from satellite observations, J. Geophys. Res.-Atmos.,
120, 6515–6536, https://doi.org/10.1002/2015JD023528, 2015.
Charlson, R. J. and Pilat, M. J.: Climate: The Influence of Aerosols, J.
Appl. Meteorol. Clim., 8, 1001–1002, https://doi.org/10.1175/1520-0450(1969)008<1001:CTIOA>2.0.CO;2, 1969.
Chen, G., Zhu, X., Sha, W., Iwasaki, T., Seko, H., Saito, K., Iwai, H., and
Ishii, S.: Toward Improved Forecasts of Sea-Breeze Horizontal Convective
Rolls at Super High Resolutions. Part I: Configuration and Verification of a
Down-Scaling Simulation System (DS3), Mon. Weather Rev., 143, 1849–1872,
https://doi.org/10.1175/MWR-D-14-00212.1, 2015.
Coakley Jr., J. A., Cess, R. D., and Yurevich, F. B.: The Effect of
Tropospheric Aerosols on the Earth's Radiation Budget: A Parameterization
for Climate Models, J. Atmos. Sci., 40, 116–138, https://doi.org/10.1175/1520-0469(1983)040<0116:TEOTAO>2.0.CO;2, 1983.
Cotton, W. R., Pielke Sr., R. A., Walko, R. L., Liston, G. E., Tremback, C.
J., Jiang, H., McAnelly, R. L., Harrington, J. Y., Nicholls, M. E., Carrio,
G. G., and McFadden, J. P.: RAMS 2001: Current Status and Future Directions,
Meteorol. Atmos. Phys., 82, 5–29, https://doi.org/10.1007/s00703-001-0584-9, 2003.
Crosman, E. T. and Horel, J. D.: Sea and Lake Breezes: A Review of Numerical
Studies, Bound.-Lay. Meteorol., 137, 1–29,
https://doi.org/10.1007/s10546-010-9517-9, 2010.
Dagan, G., Koren, I., Altaratz, O., and Heiblum, R. H.: Time-dependent, non-monotonic response of warm convective cloud fields to changes in aerosol loading, Atmos. Chem. Phys., 17, 7435–7444, https://doi.org/10.5194/acp-17-7435-2017, 2017.
DeMott, P. J., Prenni, A. J., Liu, X., Kreidenweis, S. M., Petters, M. D., Twohy, C. H., Richardson, M. S., Eidhammer, T., and Rogers, D. C.: Predicting global atmospheric ice nuclei distributions and their impacts on climate, Proc. Natl. Acad. Sci. USA, 107, 11217–11222, https://doi.org/10.1073/pnas.0910818107, 2010.
Drager, A. J., Grant, L. D., and van den Heever, S. C.: Cold Pool Responses
to Changes in Soil Moisture, J. Adv. Model. Earth Sy., 12, e2019MS001922, https://doi.org/10.1029/2019MS001922, 2020.
Emanuel, K. A.: Atmospheric Convection, 1st edn., Oxford University Press, ISBN 978-0-19-506630-2, 1994.
Fan, J., Yuan, T., Comstock, J. M., Ghan, S., Khain, A., Leung, L. R., Li,
Z., Martins, V. J., and Ovchinnikov, M.: Dominant Role by Vertical Wind
Shear in Regulating Aerosol Effects on Deep Convective Clouds, J. Geophys.
Res., 114, D22206, https://doi.org/10.1029/2009JD012352, 2009.
Fan, J., Rosenfeld, D., Zhang, Y., Giangrande, S. E., Li, Z., Machado, L. A.
T., Martin, S. T., Yang, Y., Wang, J., Artaxo, P., Barbosa, H. M. J., Braga,
R. C., Comstock, J. M., Feng, Z., Gao, W., Gomes, H. B., Mei, F.,
Pöhlker, C., Pöhlker, M. L., Pöschl, U., and de Souza, R. A. F.:
Substantial Convection and Precipitation Enhancements by Ultrafine Aerosol
Particles, Science, 359, 411–418, https://doi.org/10.1126/science.aan8461, 2018.
Feingold, G., Tzivion (Tzitzvashvili), S., and Leviv, Z.: Evolution of
Raindrop Spectra. Part I: Solution to the Stochastic Collection/Breakup
Equation Using the Method of Moments, J. Atmos. Sci., 45, 3387–3399, https://doi.org/10.1175/1520-0469(1988)045<3387:EORSPI>2.0.CO;2, 1988.
Feingold, G., Walko, R. L., Stevens, B., and Cotton, W. R.: Simulations of
marine stratocumulus using a new microphysical parameterization scheme,
Atmos. Res., 47–48, 505–528, https://doi.org/10.1016/S0169-8095(98)00058-1, 1998.
Feingold, G., Jiang, H., and Harrington, J. Y.: On smoke suppression of clouds in Amazonia, Geophys. Res. Lett., 32, L02804, https://doi.org/10.1029/2004GL021369, 2005.
Feingold, G., McComiskey, A., Yamaguchi, T., Johnson, J. S., Carslaw, K. S.,
and Schmidt, K. S.: New approaches to quantifying aerosol influence on the
cloud radiative effect, P. Natl. Acad. Sci. USA, 113, 5812–5819,
https://doi.org/10.1073/pnas.1514035112, 2016.
Giangrande, S. E., Bartholomew, M. J., Pope, M., Collis, S., and Jensen, M.
P.: A Summary of Precipitation Characteristics from the 2006-11 Northern
Australian Wet Seasons as Revealed by ARM Disdrometer Research Facilities
(Darwin, Australia), J. Appl. Meteorol. Clim., 53, 1213–1231, https://doi.org/10.1175/JAMC-D-13-0222.1, 2014.
Glassmeier, F., Hoffmann, F., Johnson, J. S., Yamaguchi, T., Carslaw, K. S., and Feingold, G.: An emulator approach to stratocumulus susceptibility, Atmos. Chem. Phys., 19, 10191–10203, https://doi.org/10.5194/acp-19-10191-2019, 2019.
Grabowski, W. W. and Morrison, H.: Untangling Microphysical Impacts on Deep
Convection Applying a Novel Modeling Methodology. Part II: Double-Moment
Microphysics, J. Atmos. Sci., 73, 3749–3770, https://doi.org/10.1175/JAS-D-15-0367.1, 2016.
Grabowski, W. W. and Morrison, H.: Do Ultrafine Cloud Condensation Nuclei
Invigorate Deep Convection?, J. Atmos. Sci., 77, 2567–2583, https://doi.org/10.1175/JAS-D-20-0012.1, 2020.
Grant, L. D. and van den Heever, S. C.: Aerosol-Cloud-Land Surface Interactions within Tropical Sea Breeze Convection, J. Geophys. Res.-Atmos., 119, 8340–8361, https://doi.org/10.1002/2014JD021912, 2014.
Grant, L. D. and van den Heever, S. C.: Cold Pool and Precipitation
Responses to Aerosol Loading: Modulation by Dry Layers, J. Atmos. Sci, 72,
1398–1408, https://doi.org/10.1175/JAS-D-14-0260.1, 2015.
Hadi, T. W., Horinouchi, T., Tsuda, T., Hashiguchi, H., and Fukao, S.:
Sea-Breeze Circulation over Jakarta, Indonesia: A Climatology Based on
Boundary Layer Radar Observations, Mon. Weather Rev., 130, 2153–2166, 2002.
Harrington, J. Y.: The effects of Radiative and Microphysical Processes on
Simulation of Warm and Transition Season Arctic Stratus, Colorado State
University, 9819393, 1997.
Hill, G. E.: Factors Controlling the Size and Spacing of Cumulus Clouds as
Revealed by Numerical Experiments, J. Atmos. Sci., 31, 646–673, https://doi.org/10.1175/1520-0469(1974)031<0646:FCTSAS>2.0.CO;2, 1974.
Hohenegger, C. and Stevens, B.: The role of the permanent wilting point in
controlling the spatial distribution of precipitation, P. Natl. Acad. Sci. USA, 115, 5692, https://doi.org/10.1073/pnas.1718842115, 2018.
Igel, A. L. and van den Heever, S. C.: Invigoration or Enervation of
Convective Clouds by Aerosols?, Geophys. Res. Lett., 48, e2021GL093804, https://doi.org/10.1029/2021GL093804, 2021.
Igel, A. L., van den Heever, S. C., and Johnson, J. S.: Meteorological and
Land Surface Properties Impacting Sea Breeze Extent and Aerosol Distribution
in a Dry Environment: Factors Impacting Sea Breezes, J. Geophys. Res.-Atmos., 123, 22–37, https://doi.org/10.1002/2017JD027339, 2018.
Jiang, H. and Feingold, G.: Effect of aerosol on warm convective clouds:
Aerosol-Cloud-Surface Flux Feedbacks in a New Coupled Large Eddy Model, J.
Geophys. Res., 111, D01202, https://doi.org/10.1029/2005JD006138, 2006.
Johnson, J. S., Cui, Z., Lee, L. A., Gosling, J. P., Blyth, A. M., and Carslaw, K. S.: Evaluating uncertainty in convective cloud microphysics using statistical emulation, J. Adv. Model. Earth Syst., 7, 162–187, https://doi.org/10.1002/2014MS000383, 2015
Kacarab, M., Thornhill, K. L., Dobracki, A., Howell, S. G., O'Brien, J. R., Freitag, S., Poellot, M. R., Wood, R., Zuidema, P., Redemann, J., and Nenes, A.: Biomass burning aerosol as a modulator of the droplet number in the southeast Atlantic region, Atmos. Chem. Phys., 20, 3029–3040, https://doi.org/10.5194/acp-20-3029-2020, 2020.
Keenan, T. D. and Carbone, R. E.: Propagation and Diurnal Evolution of Warm
Season Cloudiness in the Australian and Maritime Continent Region, Mon.
Weather Rev., 136, 973–994, https://doi.org/10.1175/2007MWR2152.1, 2008.
Khain, A., Rosenfeld, D., and Pokrovsky, A.: Aerosol Impact on the Dynamics
and Microphysics of Deep Convective Clouds, Q. J. Roy. Meteor. Soc., 131,
2639-2663, https://doi.org/10.1256/qj.04.62, 2005.
Khain, A. P., BenMoshe, N., and Pokrovsky, A.: Factors Determining the
Impact of Aerosols on Surface Precipitation from Clouds: An Attempt at
Classification, J. Atmos. Sci., 65, 1721–1748, https://doi.org/10.1175/2007jas2515.1, 2008.
Kidd, C., Dawkins, E., and Huffman, G.: Comparison of Precipitation Derived
from the ECMWF Operational Forecast Model and Satellite Precipitation
Datasets, J. Hydrometeorol., 14, 1463–1482, https://doi.org/10.1175/JHM-D-12-0182.1, 2013.
Klemp, J. B. and Wilhelmson, R. B.: The Simulation of Three-Dimensional
Convective Storm Dynamics, J. Atmos. Sci., 35, 1070–1096, https://doi.org/10.1175/1520-0469(1978)035<1070:TSOTDC>2.0.CO;2, 1978.
Kogan, Y. and Martin, W. J.: Parameterization of Bulk Condensation in
Numerical Cloud Models, J. Atmos. Sci., 51, 1728–1739, https://doi.org/10.1175/1520-0469(1994)051<1728:POBCIN>2.0.CO;2, 1994.
Koren, I., Kaufman, Y. J., Remer, L. A., and Martins, J. V.: Measurement of the Effect of Amazon Smoke on Inhibition of Cloud Formation, Science, 303, 1342–1345, https://doi.org/10.1126/science.1089424, 2004.
Koren, I., Kaufman, Y. J., Rosenfeld, D., Remer, L. A., and Rudich, Y.:
Aerosol Invigoration and Restructuring of Atlantic Convective Clouds,
Geophys. Res. Lett., 32, L14828, https://doi.org/10.1029/2005GL023187, 2005.
Lebo, Z. J. and Morrison, H.: Dynamical Effects of Aerosol Perturbations on
Simulated Idealized Squall Lines, Mon. Weather Rev., 142, 991–1009,
https://doi.org/10.1175/MWR-D-13-00156.1, 2014.
Lee, L. A., Carslaw, K. S., Pringle, K. J., Mann, G. W., and Spracklen, D. V.: Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters, Atmos. Chem. Phys., 11, 12253–12273, https://doi.org/10.5194/acp-11-12253-2011, 2011.
Lee, S. S., Donner, L. J., Phillips, V. T. J., and Ming, Y.: The Dependence
of Aerosol Effects on Clouds and Precipitation on Cloud-System Organization,
Shear and Stability, J. Geophys. Res., 113, D16202, https://doi.org/10.1029/2007JD009224, 2008.
Lee, T. J.: The Impact of Vegetation on the Atmospheric Boundary Layer and
Convective Storms, Colorado State University, https://mountainscholar.org/bitstream/handle/10217/234871/FACF_0509_Bluebook_DIP.pdf?sequence=1 (last access: 1 July 2021), 1992.
Liu, H., Guo, J., Koren, I., Altaratz, O., Dagan, G., Wang, Y., Jiang, J. H., Zhai, P., and Yung, Y. L.:
Non-Monotonic Aerosol Effect on Precipitation in Convective Clouds over Tropical Oceans, Sci. Rep., 9, 7809, https://doi.org/10.1038/s41598-019-44284-2, 2019.
Marinescu, P. J., van den Heever, S. C., Saleeby, S. M., Kreidenweis, S. M.,
and DeMott, P. J.: The Microphysical Roles of Lower-Tropospheric versus
Midtropospheric Aerosol Particles in Mature-Stage MCS Precipitation, J.
Atmos. Sci., 74, 3657–3678, https://doi.org/10.1175/JAS-D-16-0361.1, 2017.
Marinescu, P. J., van den Heever, S. C., Heikenfeld, M., Barrett, A. I.,
Barthlott, C., Hoose, C., Fan, J., Fridlind, A. M., Matsui, T.,
Miltenberger, A. K., Stier, P., Vie, B., White, B. A., and Zhang, Y.:
Impacts of Varying Concentrations of Cloud Condensation Nuclei on Deep
Convective Cloud Updrafts-A Multimodel Assessment, J. Atmos. Sci., 78,
1147–1172, https://doi.org/10.1175/JAS-D-20-0200.1, 2021.
Marshall, L., Johnson, J. S., Mann, G. W., Lee, L., Dhomse, S. S., Regayre,
L., Yoshioka, M., Carslaw, K. S., and Schmidt, A.: Exploring How Eruption
Source Parameters Affect Volcanic Radiative Forcing Using Statistical
Emulation, J. Geophys. Res.-Atmos., 124, 964–985, https://doi.org/10.1029/2018JD028675, 2019.
McCormick, R. A. and Ludwig, J. H.: Climate Modification by Atmospheric
Aerosols, Science, 156, 1358–1359, https://doi.org/10.1126/science.156.3780.1358, 1967.
Menut, L., Flamant, C., Turquety, S., Deroubaix, A., Chazette, P., and Meynadier, R.: Impact of biomass burning on pollutant surface concentrations in megacities of the Gulf of Guinea, Atmos. Chem. Phys., 18, 2687–2707, https://doi.org/10.5194/acp-18-2687-2018, 2018.
Mesinger, F. and Arakawa, A.: Numerical methods used in atmospheric models,
WMO/ICSU Joint Organizing Committee, 64 pp., https://library.wmo.int/index.php?lvl=notice_display&id=6944#.YtXhTcHMKgI (last access: 1 July 2021), 1976.
Meyers, M. P., Walko, R. L., Harrington, J. Y., and Cotton, W. R.: New RAMS
cloud Microphysics Parameterization. Part II: The Two-Moment Scheme, Atmos.
Res., 45, 3–39, https://doi.org/10.1016/S0169-8095(97)00018-5, 1997.
Miller, S. T. K., Keim, B. D., Talbot, R. W., and Mao, H.: Sea breeze:
Structure, forecasting, and impacts, Rev. Geophys., 41, 1011, https://doi.org/10.1029/2003RG000124, 2003.
Miltenberger, A. K., Field, P. R., Hill, A. A., Rosenberg, P., Shipway, B. J., Wilkinson, J. M., Scovell, R., and Blyth, A. M.: Aerosol–cloud interactions in mixed-phase convective clouds – Part 1: Aerosol perturbations, Atmos. Chem. Phys., 18, 3119–3145, https://doi.org/10.5194/acp-18-3119-2018, 2018.
Mitchell Jr., J. M.: The Effect of Atmospheric Aerosols on Climate with
Special Reference to Temperature near the Earth's Surface, J. Appl.
Meteorol. Clim., 10, 703–714, https://doi.org/10.1175/1520-0450(1971)010<0703:TEOAAO>2.0.CO;2, 1971.
Morris, M. D. and Mitchell, T. J.: Exploratory designs for computational
experiments, J. Stat. Plan. Infer., 43, 381–402, https://doi.org/10.1016/0378-3758(94)00035-T, 1995.
Nesbitt, S. W. and Zipser, E. J.: The Diurnal Cycle of Rainfall and
Convective Intensity according to Three Years of TRMM Measurements, J.
Climate, 16, 1456–1475, https://doi.org/10.1175/1520-0442(2003)016<1456:TDCORA>2.0.CO;2, 2003.
Niyogi, D., Chang, H.-I., Chen, F., Gu, L., Kumar, A., Menon, S., and
Pielke Sr., R. A.: Potential impacts of aerosol–land–atmosphere interactions on the Indian monsoonal rainfall characteristics, Nat. Hazards, 42, 345–359, https://doi.org/10.1007/s11069-006-9085-y, 2007.
O'Hagan, A.: Bayesian analysis of computer code outputs: A tutorial, Reliab.
Eng. Syst. Safe., 91, 1290–1300, https://doi.org/10.1016/j.ress.2005.11.025, 2006.
Park, J. M., van den Heever, S. C., Igel, A. L., Grant, L. D., Johnson, J.
S., Saleeby, S. M., Miller, S. D., and Reid, J. S.: Data associated with “Environmental controls on tropical sea breeze convection and resulting aerosol redistribution”, Colorado State University Libraries, Fort Collins [data set], https://doi.org/10.25675/10217/199723, 2020a.
Park, J. M., van den Heever, S. C., Igel, A. L., Grant, L. D., Johnson, J.
S., Saleeby, S. M., Miller, S. D., and Reid, J. S.: Environmental Controls
on Tropical Sea Breeze Convection and Resulting Aerosol Redistribution, J.
Geophys. Res.-Atmos., 125, e2019JD031699, https://doi.org/10.1029/2019JD031699, 2020b.
Perez, G. M. P. and Silva Dias, M. A. F.: Long-term study of the occurrence
and time of passage of sea breeze in São Paulo, 1960–2009, Int. J.
Climatol., 37, 1210–1220, https://doi.org/10.1002/joc.5077, 2017.
Qian, J.-H.: Why Precipitation Is Mostly Concentrated over Islands in the
Maritime Continent, J. Atmos. Sci., 65, 1428–1441, https://doi.org/10.1175/2007JAS2422.1, 2008.
Qian, T., Epifanio, C. C., and Zhang, F.: Topographic Effects on the
Tropical Land and Sea Breeze, J. Atmos. Sci., 69, 130–149, https://doi.org/10.1175/JAS-D-11-011.1, 2012.
Rasmussen, C. E. and Williams, C. K. I.: Gaussian processes for machine
learning, MIT Press, Cambridge, Mass, 248 pp., ISBN 026218253X, 2006.
Reid, J. S., Xian, P., Hyer, E. J., Flatau, M. K., Ramirez, E. M., Turk, F. J., Sampson, C. R., Zhang, C., Fukada, E. M., and Maloney, E. D.: Multi-scale meteorological conceptual analysis of observed active fire hotspot activity and smoke optical depth in the Maritime Continent, Atmos. Chem. Phys., 12, 2117–2147, https://doi.org/10.5194/acp-12-2117-2012, 2012.
Reynolds, R. W., Smith, T. M., Liu, C., Chelton, D. B., Casey, K. S., and Schlax, M. G.: Daily high‐resolution‐blended analyses for sea surface temperature. J. Climate, 20, 5473–5496, https://doi.org/10.1175/2007JCLI1824.1, 2007.
Rodell, M., Houser, P. R., Jambor, U., Gottschalck, J., Mitchell, K., Meng,
C.-J., Arsenault, K., Cosgrove, B., Radakovich, J., Bosilovich, M., Entin,
J. K., Walker, J. P., Lohmann, D., and Toll, D.: The Global Land Data
Assimilation System, B. Am. Meteorol. Soc., 85, 381–394, https://doi.org/10.1175/BAMS-85-3-381, 2004.
Rosenfeld, D., Lohmann, U., Raga, G. B., O'Dowd, C. D., Kulmala, M., Fuzzi,
S., Reissell, A., and Andreae, M. O.: Flood or Drought: How Do Aerosols
Affect Precipitation?, Science, 321, 1309–1313, https://doi.org/10.1126/science.1160606, 2008.
Saide, P. E., Spak, S. N., Pierce, R. B., Otkin, J. A., Schaack, T. K.,
Heidinger, A. K., da Silva, A. M., Kacenelenbogen, M., Redemann, J., and
Carmichael, G. R.: Central American biomass burning smoke can increase
tornado severity in the U.S.: Smoke can increase tornado severity, Geophys.
Res. Lett., 42, 956–965, https://doi.org/10.1002/2014GL062826, 2015.
Saleeby, S. M. and Cotton, W. R.: A Large-Droplet Mode and Prognostic Number
Concentration of Cloud Droplets in the Colorado State University Regional
Atmospheric Modeling System (RAMS). Part I: Module Descriptions and
Supercell Test Simulations, J. Appl. Meteorol. Clim., 43, 182–195,
https://doi.org/10.1175/1520-0450(2004)043<0182:ALMAPN>2.0.CO;2, 2004.
Saleeby, S. M. and van den Heever, S. C.: Developments in the CSU-RAMS
Aerosol Model: Emissions, Nucleation, Regeneration, Deposition, and
Radiation, J. Appl. Meteorol. Clim., 52, 2601–2622, https://doi.org/10.1175/JAMC-D-12-0312.1, 2013.
Saleeby, S. M., Herbener, S. R., van den Heever, S. C., and L'Ecuyer, T.:
Impacts of Cloud Droplet-Nucleating Aerosols on Shallow Tropical Convection,
J. Atmos. Sci., 72, 1369–1385, https://doi.org/10.1175/JAS-D-14-0153.1, 2015.
Saltelli, A., Tarantola, S., and Chan, K. P.-S.: A Quantitative
Model-Independent Method for Global Sensitivity Analysis of Model Output,
Technometrics, 41, 39–56, https://doi.org/10.1080/00401706.1999.10485594, 1999.
Seiki, T. and Nakajima, T.: Aerosol Effects of the Condensation Process on a
Convective Cloud Simulation, J. Atmos. Sci., 71, 833–853, https://doi.org/10.1175/JAS-D-12-0195.1, 2014.
Sheffield, A. M., Saleeby, S. M., and Heever, S. C.: Aerosol-induced
mechanisms for cumulus congestus growth, J. Geophys. Res.-Atmos., 120,
8941–8952, https://doi.org/10.1002/2015JD023743, 2015.
Short, E.: Verifying Operational Forecasts of Land-Sea-Breeze and Boundary
Layer Mixing Processes, Weather Forecast., 35, 1427–1445, https://doi.org/10.1175/WAF-D-19-0244.1, 2020.
Smagorinsky, J.: General Circulation Experiments with the Primitive
Equations: I. The Basic Experiment, Mon. Weather Rev., 91, 99–164,
https://doi.org/10.1175/1520-0493(1963)091<0099:GCEWTP>2.3.CO;2, 1963.
Storer, R. L. and van den Heever, S. C.: Microphysical Processes Evident in
Aerosol Forcing of Tropical Deep Convective Clouds, J. Atmos. Sci., 70,
430–446, https://doi.org/10.1175/JAS-D-12-076.1, 2013.
Storer, R. L., van den Heever, S. C, and Stephens, G. L.: Modeling Aerosol
Impacts on Convective Storms in Different Environments, J. Atmos. Sci., 67,
3904–3915, https://doi.org/10.1175/2010JAS3363.1, 2010.
Storer, R. L., van den Heever, S. C., and L'Ecuyer, T. S.: Observations of
aerosol-induced convective invigoration in the tropical east Atlantic, J.
Geophys. Res.-Atmos., 119, 3963–3975, https://doi.org/10.1002/2013JD020272, 2014.
Tao, W.-K., Li, X., Khain, A., Matsui, T., Lang, S., and Simpson, J.: Role
of atmospheric aerosol concentration on deep convective precipitation:
Cloud-resolving model simulations, J. Geophys. Res., 112, D24S18, https://doi.org/10.1029/2007JD008728, 2007.
Tao, W.-K., Chen, J.-P., Li, Z., Wang, C., and Zhang, C.: Impact of aerosols
on convective clouds and precipitation: Aerosol Impact on Convective Clouds,
Rev. Geophys., 50, RG2001, https://doi.org/10.1029/2011RG000369, 2012.
Twomey, S.: Pollution and the planetary albedo, Atmos. Environ., 8,
1251–1256, https://doi.org/10.1016/0004-6981(74)90004-3, 1974.
van den Heever, S. C., Carrió, G. G., Cotton, W. R., DeMott, P. J., and
Prenni, A. J.: Impacts of Nucleating Aerosol on Florida Storms. Part I:
Mesoscale Simulations, J. Atmos. Sci., 63, 1752–1775, https://doi.org/10.1175/JAS3713.1, 2006.
Varble, A.: Erroneous Attribution of Deep Convective Invigoration to Aerosol Concentration, J. Atmos. Sci., 75, 1351–1368, https://doi.org/10.1175/JAS-D-17-0217.1, 2018.
Walko, R. L., Cotton, W. R., Meyers, M. P., and Harrington, J. Y.: New RAMS cloud microphysics parameterization Part I: the single-moment scheme, Atmos. Res., 38, 29–62, 1995.
Walko, R. L., Band, L. E., Baron, J., Kittel, T. G. F., Lammers, R., Lee, T.
J., Ojima, D., Pielke Sr., R. A., Taylor, C., Tague, C., Tremback, C. J., and
Vidale, P. L.: Coupled Atmosphere-Biophysics-Hydrology Models for
Environmental Modeling, J. Appl. Meteorol. Clim., 39, 931–944, https://doi.org/10.1175/1520-0450(2000)039<0931:CABHMF>2.0.CO;2, 2000.
Wang, J., Ge, C., Yang, Z., Hyer, E. J., Reid, J. S., Chew, B.-N., Mahmud,
M., Zhang, Y., and Zhang, M.: Mesoscale modeling of smoke transport over the
Southeast Asian Maritime Continent: Interplay of sea breeze, trade wind,
typhoon, and topography, Atmos. Res., 122, 486–503, https://doi.org/10.1016/j.atmosres.2012.05.009, 2013.
Wang, S. and Sobel, A. H.: Factors Controlling Rain on Small Tropical
Islands: Diurnal Cycle, Large-Scale Wind Speed, and Topography, J. Atmos.
Sci., 74, 3515–3532, https://doi.org/10.1175/JAS-D-16-0344.1, 2017.
Wellmann, C., Barrett, A. I., Johnson, J. S., Kunz, M., Vogel, B., Carslaw,
K. S., and Hoose, C.: Using Emulators to Understand the Sensitivity of Deep
Convective Clouds and Hail to Environmental Conditions, J. Adv. Model. Earth
Sy., 10, 3103–3122, https://doi.org/10.1029/2018MS001465, 2018.
Wellmann, C., Barrett, A. I., Johnson, J. S., Kunz, M., Vogel, B., Carslaw, K. S., and Hoose, C.: Comparing the impact of environmental conditions and microphysics on the forecast uncertainty of deep convective clouds and hail, Atmos. Chem. Phys., 20, 2201–2219, https://doi.org/10.5194/acp-20-2201-2020, 2020.
Yu, H., Liu, S. C., and Dickinson, R. E.: Radiative effects of aerosols on
the evolution of the atmospheric boundary layer, J. Geophys. Res., 107, AAC
3-1–AAC 3-14, https://doi.org/10.1029/2001JD000754, 2002.
Zhang, Y., Fu, R., Yu, H., Dickinson, R. E., Juarez, R. N., Chin, M., and
Wang, H.: A regional climate model study of how biomass burning aerosol
impacts land-atmosphere interactions over the Amazon, J. Geophys. Res., 113,
D14S15, https://doi.org/10.1029/2007JD009449, 2008.
Short summary
This study explores how increased aerosol particles impact tropical sea breeze cloud systems under different environments and how a range of environments modulate these cloud responses. Overall, sea breeze flows and clouds that develop therein become weaker due to interactions between aerosols, sunlight, and land surface. In addition, surface rainfall also decreases with more aerosol particles. Weakening of cloud and rain with more aerosols is found irrespective of 130 different environments.
This study explores how increased aerosol particles impact tropical sea breeze cloud systems...
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