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Publication Citation Research Program(s) Updated date
Gonsamo, A., et al. (2019), Exploring SMAP and OCO-2 observations to monitor soil moisture control on T photosynthetic activity of global drylands and croplands ⁎, Remote Sensing of Environment, 232, 111314, doi:10.1016/j.rse.2019.111314. 1/20/2021
Chevallier, 6. F., et al. (2019), Objective evaluation of surface- and satellite-driven carbon dioxide atmospheric inversions, Atmos. Chem. Phys., 19, 14233-14251, doi:10.5194/acp-19-14233-2019. 1/20/2021
Chen, X., et al. (2020), A Theoretical Analysis for Improving Aerosol-Induced CO2 Retrieval Uncertainties Over Land Based on TanSat Nadir Observations Under Clear Sky Conditions, doi:10.3390/rs11091061. 1/20/2021
Judd, L., et al. (2020), Evaluating Sentinel-5P TROPOMI tropospheric NO2 column densities with airborne and Pandora spectrometers near New York City and Long Island Sound, Atmos. Meas. Tech., doi:10.5194/amt-2020-151. TCP 7/31/2020
Fanourgakis, G. S., et al. (2019), Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation, Atmos. Chem. Phys., 19, 8591-8617, doi:10.5194/acp-19-8591-2019. ACMAP 7/30/2020
Zhao, X., et al. (2018), Using Long-Term Satellite Observations to Identify Sensitive Regimes and Active Regions of Aerosol Indirect Effects for Liquid Clouds Over Global Oceans, J. Geophys. Res., 123, 457-472, doi:10.1002/2017JD027187. ACMAP 7/30/2020
Yu, F., et al. (2017), Impact of temperature dependence on the possible contribution of organics to new particle formation in the atmosphere, Atmos. Chem. Phys., 17, 4997-5005, doi:10.5194/acp-17-4997-2017. ACMAP 7/30/2020
Luo, G., F. Yu, and J. M. Moch (2020), Further improvement of wet process treatments in GEOS-Chem v12.6.0: impact on global distributions of aerosols and aerosol precursors, Geosci. Model. Dev., 13, 2879-2903, doi:10.5194/gmd-13-2879-2020. ACMAP, TCP 12/18/2020
Luo, G., et al. (2019), Revised treatment of wet scavenging processes dramatically improves GEOS-Chem 12.0.0 simulations of surface nitric acid, nitrate, and ammonium over the United States, Geosci. Model. Dev., 12, 3439-3447, doi:10.5194/gmd-12-3439-2019. ACMAP 7/30/2020
Prenni, A. J., et al. (2019), An examination of the algorithm for estimating light extinction from T IMPROVE particle speciation data, Atmos. Environ., 214, 116880, doi:10.1016/j.atmosenv.2019.116880. ACMAP 7/30/2020
Nair, A. A., and F. Yu (2020), Using machine learning to derive cloud condensation nuclei number concentrations from commonly available measurements, Atmos. Chem. Phys., doi:10.5194/acp-2020-509. ACMAP 7/30/2020
Jia, H., et al. (2020), Distinct Impacts of Increased Aerosols on Cloud Droplet Number Concentration of Stratus/Stratocumulus and Cumulus, Geophys. Res. Lett.. ACMAP, RSP 7/30/2020
Yu, F., A. A. Nair, and G. Luo (2018), Long-Term Trend of Gaseous Ammonia Over the United States: Modeling and Comparison With Observations, J. Geophys. Res., 123, 8315-8325, doi:10.1029/2018JD028412. ACMAP 7/30/2020
Zhang, Y., G. Luo, and F. Yu (2019), Seasonal Variations and Long‐Term Trend of Dust Particle Number Concentration Over the Northeastern United States, J. Geophys. Res., 124, 13,140-13,155, doi:10.1029/2019JD031388. ACMAP 7/30/2020
Ma, X., et al. (2018), Opposite Aerosol Index-Cloud Droplet Effective Radius Correlations Over Major Industrial Regions and Their Adjacent Oceans, Geophys. Res. Lett., 45, 5771-5778, doi:10.1029/2018GL077562. ACMAP 7/30/2020
Nair, A. A., F. Yu, and G. Luo (2019), All Rights Reserved. Spatioseasonal Variations of Atmospheric Ammonia Concentrations Over the United States: Comprehensive Model‐Observation Comparison, J. Geophys. Res., 124, doi:10.1029/2018JD030057. ACMAP 7/30/2020
Williamson, C. J., et al. (2019), A large source of cloud condensation nuclei from new particle formation in the tropics, Nature, doi:10.1038/s41586-019-1638-9. ACMAP 7/30/2020
Duncanson, L., et al. (2020), Biomass estimation from simulated GEDI, ICESat-2 and NISAR across T environmental gradients in Sonoma County, California, Remote Sensing of Environment, 242, 111779, doi:10.1016/j.rse.2020.111779. ESI, CCEP 7/30/2020
Dubayah, R., et al. (2020), The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography, Science of Remote Sensing, 1, 100002, doi:10.1016/j.srs.2020.100002. CCEP 7/30/2020
Loomis, B. D., et al. (2020), Replacing GRACE/GRACE-FO C30 With Satellite Laser Ranging: Impacts on Antarctic Ice Sheet Mass Change, Geophys. Res. Lett., 47, e2019GL085488, doi:10.1029/2019GL085488. ESI 7/30/2020