John Worden

Organization

Jet Propulsion Laboratory

Contact person by email

Business Address

California Institute of Technology
4800 Oak Grove Drive
Pasadena, CA 91109
United States

Website

https://science.jpl.nasa.gov/people/JWorden/

First Author Publications

Worden, J., et al. (2023), California Institute of Technology and The Authors. Government sponsorship acknowledged. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided t, AGU Advances, 1, 16.
Worden, J., et al. (2021), Satellite Observations of the Tropical Terrestrial Carbon Balance and Interactions With the Water Cycle During the 21st Century, Rev. Geophys..
Worden, J., et al. (2019), Characterization and evaluation of AIRS-based estimates of the deuterium content of water vapor, Atmos. Meas. Tech., 12, 2331-2339, doi:10.5194/amt-12-2331-2019.
Worden, J., et al. (2017), Evaluation and attribution of OCO-2 XCO2 uncertainties, Atmos. Meas. Tech., 10, 2759-2771, doi:10.5194/amt-10-2759-2017.
Worden, J., et al. (2016), c Author(s) 2016. CC-BY 3.0 License. 1 Title: Evaluation And Attribution Of OCO-2 XCO2 Uncertainties 2 3 Authors: John Worden1, Gary Doran1, Susan Kulawik2, Annmarie Eldering1, David 4 Crisp1, Christian Frankenberg3,1, Chris O’Dell4, and Kevin Bowman1 5, Atmos. Meas. Tech., doi:10.5194/amt-2016-175.
Worden, J., et al. (2007), Improved tropospheric ozone profile retrievals using OMI and TES radiances, Geophys. Res. Lett., 34, L01809, doi:10.1029/2006GL027806.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

Co-Authored Publications

Ma, S., et al. (2023), Resolving the Carbon-Climate Feedback Potential of Wetland CO2 and CH4 Fluxes in Alaska, Global Biogeochem. Cycles.
Pandey, S., et al. (2023), Daily detection and quantification of methane leaks using Sentinel-3: a tiered satellite observation approach with Sentinel-2 and Sentinel-5p, Remote Sensing of Environment, 296, 113716, doi:10.1016/j.rse.2023.113716.
Delwiche, K.B., et al. (2022), Estimating Drivers and Pathways for Hydroelectric Reservoir Methane Emissions Using a New Mechanistic Model, J. Geophys. Res., 127, e2022JG006908, doi:10.1029/2022JG006908.
Hegarty, J., et al. (2022), Validation and error estimation of AIRS MUSES CO profiles with HIPPO, ATom, and NOAA GML aircraft observations, Atmos. Meas. Tech., 15, 205-223, doi:10.5194/amt-15-205-2022.
Payne, V.H., et al. (2022), Satellite measurements of peroxyacetyl nitrate from the Cross-Track Infrared Sounder: comparison with ATom aircraft measurements, Atmos. Meas. Tech., 15, 3497-3511, doi:10.5194/amt-15-3497-2022.
Scarpelli, T.R., et al. (2022), Updated Global Fuel Exploitation Inventory (GFEI) for methane emissions from the oil, gas, and coal sectors: evaluation with inversions of atmospheric methane observations, Atmos. Chem. Phys., 22, 3235-3249, doi:10.5194/acp-22-3235-2022.
Worden, H.M., et al. (2022), TROPESS/CrIS carbon monoxide profile validation with NOAA GML and ATom in situ aircraft observations, Atmos. Meas. Tech., 15, 5383-5398, doi:10.5194/amt-15-5383-2022.
Kulawik, S.S., et al. (2021), Evaluation of single-footprint AIRS CH4 profile retrieval uncertainties using aircraft profile measurements, Atmos. Meas. Tech., 14, 335-354, doi:10.5194/amt-14-335-2021.
Maasakkers, ., et al. (2021), 2010–2015 North American methane emissions, sectoral contributions, and trends: a high-resolution inversion of GOSAT observations of atmospheric methane, Atmos. Chem. Phys., 21, 4339-4356, doi:10.5194/acp-21-4339-2021.
Zhang, Y., et al. (2021), Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations, Atmos. Chem. Phys., 21, 3643-3666, doi:10.5194/acp-21-3643-2021.
Herman, R.L., et al. (2020), Comparison of optimal estimation HDO/H2O retrievals from AIRS with ORACLES measurements, Atmos. Meas. Tech., 13, 1825-1834, doi:10.5194/amt-13-1825-2020.
Le Kuai, ., et al. (2020), Quantification of Ammonia Emissions With High Spatial Resolution Thermal Infrared Observations From the Hyperspectral Thermal Emission Spectrometer (HyTES) Airborne Instrument, IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 1-15, doi:10.1109/JSTARS.2019.2918093.
Scarpelli, T.R., et al. (2020), A global gridded (0.1 ⇥ 0.1 ) inventory of methane emissions from oil, gas, and coal exploitation based on national reports to the United Nations Framework Convention on Climate Change, Earth Syst. Sci. Data, 12, 563-575, doi:10.5194/essd-12-563-2020.
Whelan, M., et al. (2020), Two scientific communities striving for a common cause: innovations in carbon cycle science, Bull. Am. Meteorol. Soc., doi:10.1175/BAMS-D-19-0306.1.
Yin, Y., et al. (2020), Fire decline in dry tropical ecosystems enhances decadal land carbon sink, Nature, doi:10.1038/s41467-020-15852-2.
Herman, R.L., et al. (2019), Comparison of Optimal Estimation HDO/H2O Retrievals from AIRS with ORACLES measurements(submitted), doi:https://doi.org/10.5194/amt-2019-195.
Maasakkers, ., et al. (2019), Global distribution of methane emissions, emission trends, and OH concentrations and trends inferred from an inversion of GOSAT satellite data for 2010–2015, Atmos. Chem. Phys., 19, 7859-7881, doi:10.5194/acp-19-7859-2019.
Shi, H., et al. (2019), All Rights Reserved. Modeling Study of the Air Quality Impact of Record‐Breaking Southern California Wildfires in December 2017, J. Geophys. Res., 124, 6554-6570, doi:10.1029/2019JD030472.
Shi, ., et al. (2019), The 2005 Amazon Drought Legacy Effect Delayed the 2006 Wet Season Onset, Geophys. Res. Lett..
Worden, H.M., et al. (2019), New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes, Atmos. Chem. Phys., 19, 13569-13579, doi:10.5194/acp-19-13569-2019.
Jiang, Z., et al. (2018), Unexpected slowdown of US pollutant emission reduction in the past decade, Proc. Natl. Acad. Sci., 115, 5099-5104, doi:10.1073/pnas.1801191115.
Payne, V.H., et al. (2017), Spatial variability in tropospheric peroxyacetyl nitrate in the tropics from infrared satellite observations in 2005 and 2006, Atmos. Chem. Phys., 17, 6341-6351, doi:10.5194/acp-17-6341-2017.
Alvarado, M.J., et al. (2015), Impacts of updated spectroscopy on thermal infrared retrievals of methane evaluated with HIPPO data, Atmos. Meas. Tech., 8, 965-985, doi:10.5194/amt-8-965-2015.
Field, R., et al. (2015), Sensitivity of simulated tropospheric CO to subgrid physics parameterization: A case study of Indonesian biomass burning emissions in 2006, J. Geophys. Res., 120, doi:10.1002/2015JD023402.
Jiang, Z., et al. (2015), Regional data assimilation of multi-spectral MOPITT observations of CO over North America, Atmos. Chem. Phys., 15, 6801-6814, doi:10.5194/acp-15-6801-2015.
Kahn, B., et al. (2014), The Atmospheric Infrared Sounder version 6 cloud products, Atmos. Chem. Phys., 14, 399-426, doi:10.5194/acp-14-399-2014.
Frankenburg, C., et al. (2013), Water vapor isotopologue retrievals from high-resolution GOSAT shortwave infrared spectra, Atmos. Meas. Tech., 6, 263-274, doi:10.5194/amt-6-263-2013.
Li, K., et al. (2013), A link between tropical intraseasonal variability and Arctic stratospheric ozone, J. Geophys. Res., 118, 4280-4289, doi:10.1002/jgrd.50391.
Worden, H.M., et al. (2013), Decadal record of satellite carbon monoxide observations, Atmos. Chem. Phys., 13, 837-850, doi:10.5194/acp-13-837-2013.
Cady-Pereira, K.E., et al. (2012), Methanol from TES global observations: retrieval algorithm and seasonal and spatial variability, Atmos. Chem. Phys., 12, 8189-8203, doi:10.5194/acp-12-8189-2012.
Dupont, ., et al. (2012), Attribution and evolution of ozone from Asian wild fires using satellite and aircraft measurements during the ARCTAS campaign, Atmos. Chem. Phys., 12, 169-188, doi:10.5194/acp-12-169-2012.
Lee, J., et al. (2012), Asian monsoon hydrometeorology from TES and SCIAMACHY water vapor isotope measurements and LMDZ simulations: Implications for speleothem climate record interpretation, J. Geophys. Res., 117, D15112, doi:10.1029/2011JD017133.
Li, K., et al. (2012), Vertical structure of MJO-related subtropical ozone variations from MLS, TES, and SHADOZ data, Atmos. Chem. Phys., 12, 425-436, doi:10.5194/acp-12-425-2012.
Risi, C., et al. (2012), Process-evaluation of tropospheric humidity simulated by general circulation models using water vapor isotopologues: 1. Comparison between models and observations, J. Geophys. Res., 117, D05303, doi:10.1029/2011JD016621.
Wecht, ., et al. (2012), Validation of TES methane with HIPPO aircraft observations: implications for inverse modeling of methane sources, Atmos. Chem. Phys., 12, 1823-1832, doi:10.5194/acp-12-1823-2012.
Worden, H.M., et al. (2012), Satellite-based estimates of reduced CO and CO2 emissions due to traffic restrictions during the 2008 Beijing Olympics, Geophys. Res. Lett., 39, L14802, doi:10.1029/2012GL052395.
Zhang, L., et al. (2008), Transpacific transport of ozone pollution and the effect of recent Asian emission increases on air quality in North America: an integrated analysis using satellite, aircraft, ozonesonde, and surface observations, Atmos. Chem. Phys., 8, 6117-6136, doi:10.5194/acp-8-6117-2008.
Zhang, L., et al. (2006), Ozone-CO correlations determined by the TES satellite instrument in continental outflow regions, Geophys. Res. Lett., 33, L18804, doi:10.1029/2006GL026399.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

National Aeronautics and Space Administration

National Aeronautics and
Space Administration