Daven Henze

Organization

University of Colorado, Boulder

Email

Contact person by email

Business Phone

Work

:

(303) 492-8716

Business Address

Department of Mechanical Engineering
1111 Engineering Drive 427 UCB
Boulder, CO 80309
United States

First Author Publications

Henze, D.K., et al. (2009), Inverse modeling and mapping US air quality influences of inorganic PM2.5 precursor emissions using the adjoint of GEOS-Chem, Atmos. Chem. Phys., 9, 5877-5903, doi:10.5194/acp-9-5877-2009.

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

Co-Authored Publications

Yu, X., et al. (2023), A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources, Atmos. Chem. Phys., doi:10.5194/acp-23-3325-2023.
Li, ., et al. (2022), Assessment of Updated Fuel-Based Emissions Inventories Over the Contiguous United States Using TROPOMI NO2 Retrievals, J. Geophys. Res..
Chen, Z., et al. (2021), Linking global terrestrial CO2 fluxes and environmental drivers: inferences from the Orbiting Carbon Observatory 2 satellite and terrestrial biospheric models, Atmos. Chem. Phys., 21, 6663-6680, doi:10.5194/acp-21-6663-2021.
Nault, B.A., et al. (2021), Secondary organic aerosols from anthropogenic volatile organic compounds contribute substantially to air pollution mortality, Atmos. Chem. Phys., 21, 11201-11224, doi:10.5194/acp-21-11201-2021.
Hammer, M.S., et al. (2020), Improved Global Estimates of Fine Particulate Matter Concentrations and Trends Derived from Updated Satellite Retrievals, Modeling Advances, and Additional Ground-Based Monitors, Environ. Sci. Tech., 54, 7879-7890, doi:10.1021/acs.est.0c01764.
Wang, Y., et al. (2020), Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data - Part 1: Formulation and sensitivity analysis, Atmos. Chem. Phys., 20, 6631-6650, doi:10.5194/acp-20-6631-2020.
Chen, C., et al. (2019), Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations, Atmos. Chem. Phys., 19, 14585-14606, doi:10.5194/acp-19-14585-2019.
Jiang, Z., et al. (2018), Unexpected slowdown of US pollutant emission reduction in the past decade, Proc. Natl. Acad. Sci., 201801191, doi:10.1073/pnas.1801191115.
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.
Qu, Z., et al. (2017), Monthly top-down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis, J. Geophys. Res., 122, 4600-4625, doi:10.1002/2016JD025852.
Wang, J., et al. (2016), A new approach for monthly updates of anthropogenic sulfur dioxide emissions from space: Application to China and implications for air quality forecasts, Geophys. Res. Lett., 43, 9931-9938, doi:10.1002/2016GL070204.
Bousserez, N., et al. (2015), Improved analysis-error covariance matrix for high-dimensional variational inversions: application to source estimation using a 3D atmospheric transport model, Q. J. R. Meteorol. Soc., doi:10.1002/qj.2495.
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.
Liu, J., et al. (2015), Source-receptor relationships of column-average CO2 and implications for the impact of observations on flux inversions, J. Geophys. Res., 120, Atmos., doi:10.1002/2014JD022914.
Shephard, M.W., et al. (2015), Tropospheric Emission Spectrometer (TES) satellite observations of ammonia, methanol, formic acid, and carbon monoxide over the Canadian oil sands: validation and model evaluation, Atmos. Meas. Tech., 8, 5189-5211, doi:10.5194/amt-8-5189-2015.
Deng, F., et al. (2014), Inferring regional sources and sinks of atmospheric CO2 from GOSAT XCO2 data, Atmos. Chem. Phys., 14, 3703-3727, doi:10.5194/acp-14-3703-2014.
Duncan, B., et al. (2014), Satellite data of atmospheric pollution for U.S. air quality applications: Examples of applications, summary of data end-user resources, answers to FAQs, and common mistakes to avoid, Atmos. Environ., 94, 647-662, doi:10.1016/j.atmosenv.2014.05.061.
Liu, J., et al. (2014), Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric sources and sinks, Tellus, 66, 22486, doi:10.3402/tellusb.v66.22486.
Wells, K., et al. (2014), Quantifying global terrestrial methanol emissions using observations from the TES satellite sensor, Atmos. Chem. and Physics, 14, 2555-2555, doi:10.5194/acp-14-2555-2014.
Meland, B.S., et al. (2013), Assessing remote polarimetric measurement sensitivities to aerosol emissions using the geos-chem adjoint model, Atmos. Meas. Tech., 6, 3441-3457, doi:10.5194/amt-6-3441-2013.
Paulot, F., et al. (2013), Sources and Processes Contributing to Nitrogen Deposition: An Adjoint Model Analysis Applied to Biodiversity Hotspots Worldwide, Environ. Sci. Technol., doi:10.1021/es3027727.
Streets, D.G., et al. (2013), Emissions estimation from satellite retrievals: A review of current capability, Atmos. Environ., 77, 1011-1042, doi:10.1016/j.atmosenv.2013.05.051.
Xu, X., et al. (2013), Constraints on aerosol sources using GEOS-Chem adjoint and MODIS radiances, and evaluation with multisensor (OMI, MISR) data, J. Geophys. Res., 118, 6396-6413, doi:10.1002/jgrd.50515.
Millet, D., et al. (2012), Natural and anthropogenic ethanol sources in North America and potential atmospheric impacts of ethanol fuel use, Environ. Sci. Technol., 46, 8484−8492.
Wang, J., et al. (2012), Top-down estimate of dust emissions through integration of MODIS and MISR aerosol retrievals with the GEOS-Chem adjoint model, Geophys. Res. Lett., 39, L08802, doi:10.1029/2012GL051136.
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.
Kopacz, ., et al. (2011), Origin and radiative forcing of black carbon transported to the Himalayas and Tibetan Plateau, Atmos. Chem. Phys., 11, 2837-2852, doi:10.5194/acp-11-2837-2011.
Shephard, M.W., et al. (2011), TES ammonia retrieval strategy and global observations of the spatial and seasonal variability of ammonia, Atmos. Chem. Phys., 11, 10743-10763, doi:10.5194/acp-11-10743-2011.
Kopacz, ., et al. (2010), Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES), Atmos. Chem. Phys., 10, 855-876, doi:10.5194/acp-10-855-2010.
Kopacz, ., et al. (2009), Comparison of adjoint and analytical Bayesian inversion methods for constraining Asian sources of carbon monoxide using satellite (MOPITT) measurements of CO columns, J. Geophys. Res., 114, D04305, doi:10.1029/2007JD009264.
Zhang, L., et al. (2009), Intercontinental source attribution of ozone pollution at western U.S. sites using an adjoint method, Geophys. Res. Lett., 36, L11810, doi:10.1029/2009GL037950.

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