Pubs by Program

This page lists the publications in the ESD Publications database, sorted by first author and year. To filter the list, select one or more Research Program(s) to filter the list, or else specify a publication year (e.g., 2011). Options to view other pages of the list are provided at the bottom of the page.

Publication Citation Research Program(s)
mylene.jacquemart, C.M.J., and colorado.edu) (2023), Leveraging time series analysis of radar coherence and normalized difference vegetation index ratios to characterize pre-failure activity of the Mud Creek landslide, California Mylène Jacquemart and Kristy Tiampo Cooperative Institute for Research in Envi, Nat. Hazards Earth Syst. Sci., 21, 629-642, doi:10.5194/nhess-21-629-2021. IDS
Myriokefalitakis, S., A. Ito, M. Kanakidou, A. Nenes, M.C. Krol, N.M. Mahowald, R.A. Scanza, D.S. Hamilton, M.S. Johnson, N. Meskhidze, J.F. Kok, C. Guieu, A.R. Baker, T.D. Jickells, M.M. Sarin, S. Bikkina, R. Shelley, A. Bowie, M.M.G. Perron, and R.A. Duce (2018), Reviews and syntheses: the GESAMP atmospheric iron deposition model intercomparison study, Biogeosciences, 15, 6659-6684, doi:10.5194/bg-15-6659-2018.
Myrold, D.D., P.A. Matson, and D.L. Peterson (1989), Relationships Among Soil Microbial Properties and Above Ground Stand Characteristics of Conifer Forests in Oregon, Biogeochemistry, 8, 265-281.
Mytilinaios, M., S. Basart, S. Ciamprone, J. Cuesta, C. Dema, E. Di Tomaso, P. Formenti, A. Gkikas, O. Jorba, R.A. Kahn, C.P. García-Pando, S. Trippetta, and L. Mona (2023), Comparison of dust optical depth from multi-sensor products and the MONARCH dust reanalysis over Northern Africa, the Middle East and Europe, Atmos. Chem. Phys., 23, 5487-5516, doi:10.5194/acp-23-5487-2023. Atmospheric Composition, ACMAP, RSP, Climate Variability and Change Program
Naeger, A.R., and S.A. Christopher (2014), The identification and tracking of volcanic ash using the Meteosat Second Generation (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI), Atmos. Meas. Tech., 7, 581-597, doi:10.5194/amt-7-581-2014. ACMAP, RSP
Naeger, A.R., S.A. Christopher, R. Ferrare, and Z. Liu (2013), A New Technique Using Infrared Satellite Measurements to Improve the Accuracy of the CALIPSO Cloud-Aerosol Discrimination Method, IEEE Trans. Geosci. Remote Sens., 51, 642-653, doi:10.1109/TGRS.2012.2201161.
Naeger, A.R., M.J. Newchurch, T. Moore, K. Chance, X. Liu, S. Alexander, K. Murphy, and B. Wang (2022), Meeting Summary Revolutionary Air-Pollution Applications from Future Tropospheric Emissions: Monitoring of Pollution (TEMPO) Observations, Bull. Am. Meteorol. Soc., doi:10.1175/BAMS-D-21-0050.1. ASP, Atmospheric Composition
Naeger, A.R., S.A. Christopher, and B.T. Johnson (2013), Multiplatform analysis of the radiative effects and heating rates for an intense dust storm on 21 June 2007, J. Geophys. Res., 118, 9316-9329, doi:10.1002/jgrd.50713.
Nag, S., C.K. Gatebe, and O. de Weck (2015), Observing system simulations for small satellite formations estimating bidirectional reflectance, International Journal of Applied Earth Observation and Geoinformation, 43, 102-118, doi:10.1016/j.jag.2015.04.022.
Nag, S., C.K. Gatebe, and T. Hilker (2016), Simulation of Multiangular Remote Sensing Products Using Small Satellite Formations, IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 1-16, doi:10.1109/JSTARS.2016.2570683. RSP
Nag, S., C.K. Gatebe, D.W. Miller, and O.L. de Weck (2016), Effect of satellite formations and imaging modes on global albedo estimation, Acta Astronautica, 126, 77-97, doi:10.1016/j.actaastro.2016.04.004. EWCP, OBB, RSP
Nag, S., T. Hewagama, G.T. Georgiev, B. Pasquale, S. Aslam, and C.K. Gatebe (2017), Multispectral Snapshot Imagers Onboard Small Satellite Formations for Multi-Angular Remote Sensing, IEEE Sensors Journal, 17, 5252-5268, doi:10.1109/JSEN.2017.2717384. EWCP, OBB, RSP
Nagao, T.M., K. Suzuki, and T.Y. Nakajima (2013), Interpretation of Multiwavelength-Retrieved Droplet Effective Radii for Warm Water Clouds in Terms of In-Cloud Vertical Inhomogeneity by Using a Spectral Bin Microphysics Cloud Model, J. Atmos. Sci., 70, 2376-2392, doi:10.1175/JAS-D-12-0225.1.
Nagao1), B.T.M., T.Y. Nakajima1), H. Letu1), and H. Okamoto2) (2014), Cloud Microphysical Properties as Seen from Spaceborne Passive Multi-Spectral Imagers: Interpretation in Terms of Vertical and Horizontal Inhomogeneity by Using Modeling and Other Spaceborne Instruments, pp., 12, Tn_1-Tn_6.
Naik, V., A.M. Fiore, L.W. Horowitz, H.B. Singh, C. Wiedinmyer, A. Guenther, J.A. de Gouw, D.B. Millet, P.D. Goldan, W.C. Kuster, and A. Goldstein (2010), Observational constraints on the global atmospheric budget of ethanol, Atmos. Chem. Phys., 10, 925-945.
Naimark, J.G., A.M. Fiore, X. Jin, Y. Wang, E. Klovenski, and C. Braneon (2022), Evaluating Drought Responses of Surface Ozone Precursor Proxies: Variations With Land Cover Type, Precipitation, and Temperature, Geophys. Res. Lett.. ACMAP
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
Nair, A.A., F. Yu, P. Campuzano-Jost, P.J. DeMott, E.J.T. Levin, J.L. Jimenez, and A.J. Beyersdorf (2021), Machine learning uncovers aerosol size information from chemistry and meteorology to quantify potential cloud-forming particles, Geophys. Res. Lett., doi:10.1029/2021GL094133. TCP
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
Nair, A.K.M., and K. Rajeev (2014), Multiyear CloudSat and CALIPSO Observations of the Dependence of Cloud Vertical Distribution on Sea Surface Temperature and Tropospheric Dynamics, J. Climate, 27, 672-683, doi:10.1175/JCLI-D-13-00062.1.