This page lists the most recently-uploaded publications that have been added to the ESD Publications database. Select one or more Research Program(s) to filter the list.

Publication Citation Research Program(s) Updated date
Lu, X., et al. (2021), Global methane budget and trend, 2010–2017: complementarity of inverse analyses using in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) observations, Atmos. Chem. Phys., 21, 4637-4657, doi:10.5194/acp-21-4637-2021. TCP 4/9/2021
Pulvirenti, F., et al. (2021), New Fault Slip Distribution for the 2010 Mw 7.2 El Mayor Cucapah Earthquake Based on Realistic 3D Finite Element Inversions of Coseismic Displacements Using Space Geodetic Data, J. Geophys. Res., 126, e2020JB020016, doi:10.1029/2020JB020016. ESI 4/5/2021
Luo, Y., and Z. Liu (2021), Fault zone heterogeneities explain depth- dependent pattern and evolution of slow earthquakes in Cascadia, Nature, doi:10.1038/s41467-021-22232-x. ESI 4/5/2021
Jo, D. S., et al. (2021), Future changes in isoprene-epoxydiol-derived secondary organic aerosol (IEPOX SOA) under the Shared Socioeconomic Pathways: the importance of physicochemical dependency, Atmos. Chem. Phys., 21, 3395-3425, doi:10.5194/acp-21-3395-2021. TCP 4/1/2021
Liu, C., C. Liu, and L. Hayden (2020), Climatology and Detection of Overshooting Convection From 4 Years of GPM Precipitation Radar and Passive Microwave Observations, J. Geophys. Res., 125, e2019JD032003, doi:10.1029/2019JD032003. ACMAP, ADP 4/1/2021
Handwerger, A., et al. (2021), Inferring the Subsurface Geometry and Strength of Slow-Moving Landslides Using 3-D Velocity Measurements From the NASA/JPL UAVSAR, J. Geophys. Res., doi: https://doi.org/10.1029/2020JF005898. ESI 4/1/2021
Dille, A., et al. (2021), When image correlation is needed: Unravelling the complex dynamics of a slow-moving landslide in the tropics with dense radar and optical time series, Remote Sensing of Environment, 258, 112402, doi:10.1016/j.rse.2021.112402. ESI 4/1/2021
Girona, T., V. Realmuto, and P. Lundgren (2021), Large-scale thermal unrest of volcanoes for years prior to eruption, Nature, doi:10.1038/s41561-021-00705-4. ESI 3/29/2021
Lundgren, P., et al. (2020), The dynamics of large silicic systems from satellite remote sensing observations: the intriguing case of Domuyo volcano, Argentina, Scientific Reports, 10, 11642, doi:10.1038/s41598-020-67982-8. ESI 3/29/2021
Kumar, C., et al. (2021), New effective spectral matching measures for hyperspectral data analysis, International Journal of Remote Sensing, 42, 11, doi:10.1080/01431161.2021.1890265. ESI 3/22/2021
Kumar, C., et al. (2021), New effective spectral matching measures for hyperspectral data analysis, International Journal of Remote Sensing, 42, 11, doi:10.1080/01431161.2021.1890265. ESI 3/22/2021
Safieddine, S., et al. (2021), Artificial Neural Networks to Retrieve Land and Sea Skin Temperature from IASI, doi:10.3390/rs12172777. 3/18/2021
Zhou, D. K., et al. (2021), Wildfire-Induced CO Plume Observations From NAST-I During the FIREX-AQ Field Campaign, IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 14, 2901-2910, doi:10.1109/JSTARS.2021.3059855. 3/18/2021
Zhou, D. K., A. Larar, and X. Liu (2021), Surface Skin Temperature and Its Trend Observations From IASI on Board MetOp Satellites, IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 14, 1665-1675, doi:10.1109/JSTARS.2020.3046421. 3/18/2021
Gonzalez, Y., et al. (2021), Impact of stratospheric air and surface emissions on tropospheric nitrous oxide during ATom, Atmos. Chem. Phys., doi:10.5194/acp-2021-167. TCP 3/17/2021
DeMott, P. J., et al. (2021), Machine learning uncovers aerosol size information from chemistry and meteorology to quantify potential cloud-forming particles. TCP 3/16/2021
Guo, H., et al. (2021), The Importance of Size Ranges in Aerosol Instrument Intercomparisons: A Case Study for the ATom Mission, Atmos. Meas. Tech., doi:10.5194/amt-2020-224. TCP 3/16/2021
Schueneman, M., et al. (2021), Aerosol pH Indicator and Organosulfate Detectability from Aerosol Mass Spectrometry Measurements, Atmos. Meas. Tech., doi:10.5194/amt-2020-339. TCP 3/16/2021
Naus, S., et al. (2021), A 3D-model inversion of methyl chloroform to constrain the atmospheric oxidative capacity, Atmos. Chem. Phys., doi:10.5194/acp-2020-624. TCP 3/8/2021
Bates, K. H., et al. (2021), The Global Budget of Atmospheric Methanol: New Constraints on Secondary, Oceanic, and Terrestrial Sources, J. Geophys. Res., 126, doi:10.1029/2020JD033439. TCP 3/5/2021

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