Daven Henze
Organization:
University of Colorado, Boulder
Email:
Business Phone:
Work:
(303) 492-8716
Business Address:
Department of Mechanical Engineering
1111 Engineering Drive 427 UCB
Boulder, CO 80309
United StatesFirst Author Publications:
- Henze, D., J. H. Seinfeld, and D. Shindell (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.
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, M., 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., 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., K. Bowman, and D. Henze (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., D. J. Jacob, and D. Henze (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., 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, R., 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, K. J., 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, M., 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, M., 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, M., 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.