Pablo Saide
Organization:
University of California, Los Angeles
First Author Publications:
- Saide Peralta, et al. (2023), Understanding the Evolution of Smoke Mass Extinction Efficiency Using Field Campaign Measurements, Geophys. Res. Lett., 49, e2022GL099175, doi:10.1029/2022GL099175.
- Saide Peralta, et al. (2022), Understanding the Evolution of Smoke Mass Extinction Efficiency Using Field Campaign Measurements, Geophys. Res. Lett., 49, e2022GL099175, doi:10.1029/2022GL099175.
- Saide Peralta, et al. (2020), Understanding and improving model representation of aerosol optical properties for a Chinese haze event measured during KORUS-AQ, Atmos. Chem. Phys., 20, 6455-6478, doi:10.5194/acp-20-6455-2020.
- Saide Peralta, et al. (2015), Revealing important nocturnal and day-to-day variations in fire smoke emissions through a multiplatform inversion, Geophys. Res. Lett., 42, 3609-3618, doi:10.1002/2015GL063737.
- Saide Peralta, et al. (2012), Improving aerosol distributions below clouds by assimilating satellite-retrieved cloud droplet number, Proc. Natl. Acad. Sci., 109, 11939, doi:10.1073/pnas.1205877109.
Co-Authored Publications:
- Berman, M., et al. (2023), Quantifying burned area of wildfires in the western United States from polar-orbiting and geostationary satellite active-fire detections, International Journal of Wildland Fire, 32, 665-678, doi:10.1071/WF22022.
- Diamond, M., et al. (2023), Cloud adjustments from large-scale smoke–circulation interactions strongly modulate the southeastern Atlantic stratocumulus-to-cumulus transition, Atmos. Chem. Phys., doi:10.5194/acp-22-12113-2022.
- Diamond, M., et al. (2023), Cloud adjustments from large-scale smoke–circulation interactions strongly modulate the southeastern Atlantic stratocumulus-to-cumulus transition, Atmos. Chem. Phys., doi:10.5194/acp-22-12113-2022.
- Pagonis, D., et al. (2023), Impact of Biomass Burning Organic Aerosol Volatility on Smoke Concentrations Downwind of Fires, Environ. Sci. Technol., 57, 17011-17021, doi:10.1021/acs.est.3c05017.
- Thapa, L., et al. (2023), Heat flux assumptions contribute to overestimation of wildfire smoke injection into the free troposphere, Nature, doi:10.1038/s43247-022-00563-x.
- Warneke, C., et al. (2023), Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ), J. Geophys. Res., 128, e2022JD037758, doi:10.1029/2022JD037758.
- Ye, X., et al. (2023), Assessing Vertical Allocation of Wildfire Smoke Emissions Using Observational Constraints From Airborne Lidar in the Western U.S., J. Geophys. Res..
- Peterson, D., et al. (2022), Measurements from inside a Thunderstorm Driven by Wildfire: The 2019 FIREX-AQ Field Experiment, Bull. Amer. Meteor. Soc., 103, E2140-E2167, doi:10.1175/BAMS-D-21-0049.1.
- Stockwell, C. E., et al. (2022), Airborne Emission Rate Measurements Validate Remote Sensing Observations and Emission Inventories of Western U.S. Wildfires, Environ. Sci. Technol., 56, 7564-7577, doi:10.1021/acs.est.1c07121.
- Dobracki, A., et al. (2021), submitted (June, Comm. Earth Env., Non-reversible aging, manuscript #COMMSENV-21-0385-T, doi:10.1002/essoar.10507561.1.
- 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).
- Park, R., et al. (2021), Multi-model intercomparisons of air quality simulations for the KORUS-AQ campaign, Elementa: Science of the Anthropocene, 9, doi:10.1525/elementa.2021.00139.
- Pistone, K., et al. (2021), Exploring the elevated water vapor signal associated with the free-tropospheric biomass burning plume over the southeast Atlantic Ocean, Atmos. Chem. Phys., doi:10.5194/acp-2020-1322 (submitted).
- Pistone, K., et al. (2021), Exploring the elevated water vapor signal associated with the free tropospheric biomass burning plume over the southeast Atlantic Ocean, Atmos. Chem. Phys., 21, 9643-9668, doi:10.5194/acp-21-9643-2021.
- Redemann, J., et al. (2021), An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol–cloud–radiation interactions in the southeast Atlantic basin, Atmos. Chem. Phys., 21, 1507-1563, doi:10.5194/acp-21-1507-2021.
- Ye, X., et al. (2021), Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire, Atmos. Chem. Phys., 21, 14427-14469, doi:10.5194/acp-21-14427-2021.
- Ye, X., et al. (2021), Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire, Atmos. Chem. Phys., doi:10.5194/acp-2021-223.
- Choi, S., et al. (2020), Assessment of NO2 observations during DISCOVER-AQ and KORUS-AQ field campaigns, Atmos. Meas. Tech., 13, 2523-2546, doi:10.5194/amt-13-2523-2020.
- Redemann, J., et al. (2020), An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol-cloud-radiation interactions in the Southeast Atlantic basin, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2020-449.
- Shinozuka, Y., et al. (2020), Modeling the smoky troposphere of the southeast Atlantic: a comparison to ORACLES airborne observations from September of 2016, Atmos. Chem. Phys., 20, 11491-11526, doi:10.5194/acp-20-11491-2020.
- Ye, X., et al. (2020), Assessment of Satellite AOD during the 2020 Wildfire Season in the Western U.S., Wildfire Season in the Western U.S.. Remote Sens., 2022, 6113, doi:10.3390/rs14236113.
- Mallet, M., et al. (2019), Simulation of the transport, vertical distribution, optical properties and radiative impact of smoke aerosols with the ALADIN regional climate model during the ORACLES-2016 and LASIC experiments, Atmos. Chem. Phys., 19, 4963-4990, doi:10.5194/acp-19-4963-2019.
- shinozuka, et al. (2019), Modeling the smoky troposphere of the southeast Atlantic: a comparison to ORACLES airborne observations from September of 2016, Atmos. Chem. Phys. Discuss., doi: https://doi.org/10.5194/acp-2019-678 (submitted).
- Burton, S., et al. (2018), Calibration of a high spectral resolution lidar using a Michelson interferometer, with data examples from ORACLES, Appl. Opt., 57, 6061-6075, doi:10.1364/AO.57.006061.
- Diamond, M., et al. (2018), Time-dependent entrainment of smoke presents an observational challenge for assessing aerosol–cloud interactions over the southeast Atlantic Ocean, Atmos. Chem. Phys., 18, 14623-14636, doi:10.5194/acp-18-14623-2018.
- Lennartson, E., et al. (2018), Diurnal variation of aerosol optical depth and PM2.5 in South Korea: a synthesis from AERONET, satellite (GOCI), KORUS-AQ observation, and the WRF-Chem model, Atmos. Chem. Phys., 18, 15125-15144, doi:10.5194/acp-18-15125-2018.
- Yu, P., et al. (2016), Surface dimming by the 2013 Rim Fire simulated by a sectional aerosol model, J. Geophys. Res., 121, 7079-7087, doi:10.1002/2015JD024702.
- Wyant, M. C., et al. (2015), Global and regional modeling of clouds and aerosols in the marine boundary layer during VOCALS: the VOCA intercomparison, Atmos. Chem. Phys., 15, 153-172, doi:10.5194/acp-15-153-2015.