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KORUS-AQ

Joanna Joiner

Organization:

NASA Goddard Space Flight Center

Email:

Contact person by email

Business Address:

Laboratory for Atmospheric Chemistry and Dynamics

Code 614

Greenbelt, MD 20771

United States

First Author Publications:

Joiner, J., et al. (2018), Estimation of Terrestrial Global Gross Primary Production (GPP) with Satellite Data-Driven Models and Eddy Covariance Flux Data, doi:10.3390/rs10091346.
Joiner, J., et al. (2018), Global relationships among traditional reflectance vegetation indices (NDVI T and NDII), evapotranspiration (ET), and soil moisture variability on weekly timescales, Remote Sensing of Environment, 219, 339-352, doi:10.1016/j.rse.2018.10.020.
Joiner, J., et al. (2016), New methods for the retrieval of chlorophyll red fluorescence from hyperspectral satellite instruments: simulations and application to GOME-2 and SCIAMACHY, Atmos. Meas. Tech., 9, 3939-3967, doi:10.5194/amt-9-3939-2016.
Joiner, J., et al. (2014), The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem atmosphere carbon exchange, Remote Sensing of Environment, 152, 375-391, doi:10.1016/j.rse.2014.06.022.
Joiner, J., et al. (2013), Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2, Atmos. Meas. Tech., 6, 2803-2823, doi:10.5194/amt-6-2803-2013.
Joiner, J., et al. (2012), Filling-in of near-infrared solar lines by terrestrial fluorescence and other geophysical effects: simulations and space-based observations from SCIAMACHY and GOSAT, Atmos. Meas. Tech., 5, 809-829, doi:10.5194/amt-5-809-2012.
Joiner, J., et al. (2012), Fast simulators for satellite cloud optical centroid pressure retrievals; evaluation of OMI cloud retrievals, Atmos. Meas. Tech., 5, 529-545, doi:10.5194/amt-5-529-2012.
Joiner, J., et al. (2011), First observations of global and seasonal terrestrial chlorophyll fluorescence from space, Biogeosciences, 8, 637-651, doi:10.5194/bg-8-637-2011.
Joiner, J., et al. (2010), Detection of multi-layer and vertically-extended clouds using A-train sensors, Atmos. Meas. Tech., 3, 233-247.
Joiner, J., et al. (2009), Accurate satellite-derived estimates of the tropospheric ozone impact on the global radiation budget, Atmos. Chem. Phys., 9, 4447-4465, doi:10.5194/acp-9-4447-2009.
Joiner, J., et al. (2007), Effects of data selection and error specification on the assimilation of AIRS data, Q. J. R. Meteorol. Soc., 133, 181-196, doi:10.1002/qj.8.

Co-Authored Publications:

Fisher, B., et al. (2024), Revised estimates of NO2 reductions during the COVID-19 lockdowns using updated TROPOMI NO2 retrievals and model simulations, Atmos. Environ., 326, 120459, doi:10.1016/j.atmosenv.2024.120459.
Fioletov, V. E., et al. (2023), Version 2 of the global catalogue of large anthropogenic and volcanic SO2 sources and emissions derived from satellite measurements, Earth Syst. Sci. Data, 15, 75-93, doi:10.5194/essd-15-75-2023.
Fioletov, V. E., et al. (2023), Estimation of anthropogenic and volcanic SO2 emissions from satellite data in the presence of snow/ice on the ground, Atmos. Meas. Tech., 16, 5575-5592, doi:10.5194/amt-16-5575-2023.
Li, C., et al. (2022), A new machine-learning-based analysis for improving satellite-retrieved atmospheric composition data: OMI SO2 as an example, Atmos. Meas. Tech., 15, 5497-5514, doi:10.5194/amt-15-5497-2022.
Liu, J., et al. (2021), Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020), Earth Syst. Sci. Data, 13, 299-330, doi:10.5194/essd-13-299-2021.
Choi, S., et al. (2020), Assessment of NO2 observations during DISCOVER-AQ and KORUS-AQ field campaigns, Atmos. Meas. Tech., 13, 2523-2546, doi:10.5194/amt-13-2523-2020.
Chong, H., et al. (2020), High-resolution mapping of SO2 using airborne observations from the T GeoTASO instrument during the KORUS-AQ field study: PCA-based vertical column retrievals ⁎, Remote Sensing of Environment, 241, 111725, doi:10.1016/j.rse.2020.111725.
Liu, F., et al. (2020), The Authors, some Abrupt decline in tropospheric nitrogen dioxide over rights reserved; exclusive licensee China after the outbreak of COVID-19 American Association for the Advancement of Science. No claim to, Liu et al., Sci. Adv., 6, eabc2992.
Shen, J., et al. (2020), Spatial pattern and seasonal dynamics of the photosynthesis activity across T Australian rainfed croplands ⁎, Ecological Indicators, 108, 105669, doi:10.1016/j.ecolind.2019.105669.
Zhanga, Z., et al. (2020), Reduction of structural impacts and distinction of photosynthetic pathways T in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence, Remote Sensing of Environment, 240, 111722, doi:10.1016/j.rse.2020.111722.
Bacour, C., et al. (2019), Differences Between OCO‐2 and GOME‐2 SIF Products From a Model‐Data Fusion Perspective, J. Geophys. Res., 124, 3143-3157, doi:10.1029/2018JG004938.
He, L., et al. (2019), Diverse photosynthetic capacity of global ecosystems mapped by satellite T chlorophyll fluorescence measurements ⁎, Remote Sensing of Environment, 232, 111344, doi:10.1016/j.rse.2019.111344.
Mohammeda, G. H., et al. (2019), Remote sensing of solar-induced chlorophyll fluorescence (SIF) in T vegetation: 50 years of progress, Remote Sensing of Environment, 231, 111177, doi:10.1016/j.rse.2019.04.030.
Parazoo, N., et al. (2019), Towards a harmonized long‐term spaceborne record of far‐red solar‐induced fluorescence, J. Geophys. Res., 124, 2518-2539.
Silvern, R. F., et al. (2019), Using satellite observations of tropospheric NO2 columns to infer long-term trends in US NOx emissions: the importance of accounting for the free tropospheric NO2 background, Atmos. Chem. Phys., 19, 8863-8878, doi:10.5194/acp-19-8863-2019.
Yang, Y., et al. (2019), Cloud products from the Earth Polychromatic Imaging Camera (EPIC): algorithms and initial evaluation, Atmos. Meas. Tech., 12, 2019-2031, doi:10.5194/amt-12-2019-2019.
Choi, S., et al. (2018), Link Between Arctic Tropospheric BrO Explosion Observed From Space and Sea-Salt Aerosols From Blowing Snow Investigated Using Ozone Monitoring Instrument, J. Geophys. Res., 123, 6954-6983, doi:10.1029/2017JD026889.
Köehler, P., et al. (2018), Global retrievals of solar-induced chlorophyll fluorescence with TROPOMI: First results and intersensor comparison to OCO-2, Geophys. Res. Lett., 45, 10,456-10,463, doi:10.1029/2018GL079031.
Liu, F., et al. (2018), A new global anthropogenic SO2 emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions, Atmos. Chem. Phys., 18, 16571-16586, doi:10.5194/acp-18-16571-2018.
Marais, E. A., et al. (2018), Nitrogen oxides in the global upper troposphere: interpreting cloud-sliced NO2 observations from the OMI satellite instrument, Atmos. Chem. Phys., 18, 17017-17027, doi:10.5194/acp-18-17017-2018.
Sun, Y., et al. (2018), Overview of Solar-Induced chlorophyll Fluorescence (SIF) from the Orbiting T Carbon Observatory-2: Retrieval, cross-mission comparison, and global monitoring for GPP ⁎ ⁎⁎, Remote Sensing of Environment, 209, 808-823, doi:10.1016/j.rse.2018.02.016.
Vasilkov, A. P., et al. (2018), A cloud algorithm based on the O2-O2 477 nm absorption band featuring an advanced spectral fitting method and the use of surface geometry-dependent Lambertian-equivalent reflectivity, Atmos. Meas. Tech., 11, 4093-4107, doi:10.5194/amt-11-4093-2018.
Zhang, Y., et al. (2018), A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks, Biogeosciences, 15, 5779-5800, doi:10.5194/bg-15-5779-2018.
Li, C., et al. (2017), India is overtaking China as the world’s largest emitter of anthropogenic sulfur dioxide, Scientific Reports, 7, 14304, doi:10.1038/s41598-017-14639-8.
Li, C., et al. (2017), New-generation NASA Aura Ozone Monitoring Instrument (OMI) volcanic SO2 dataset: algorithm description, initial results, and continuation with the Suomi-NPP Ozone Mapping and Profiler Suite (OMPS), Atmos. Meas. Tech., 10, 445-458, doi:10.5194/amt-10-445-2017.
Luus, K. A., et al. (2017), Tundra photosynthesis captured by satellite-observed solar-induced chlorophyll fluorescence, Geophys. Res. Lett., 44, 1564-1573, doi:10.1002/2016GL070842.
Zhang, Y., et al. (2017), Continuation of long-term global SO2 pollution monitoring from OMI to OMPS, Atmos. Meas. Tech., 10, 1495-1509, doi:10.5194/amt-10-1495-2017.
Zoogman, P., et al. (2017), Tropospheric emissions: Monitoring of pollution (TEMPO), J. Quant. Spectrosc. Radiat. Transfer, 186, 17-39, doi:10.1016/j.jqsrt.2016.05.008.
Fioletov, V. E., et al. (2016), A global catalogue of large SO2 sources and emissions derived from the Ozone Monitoring Instrument, Atmos. Chem. Phys., 16, 11497-11519, doi:10.5194/acp-16-11497-2016.
Krotkov, N., et al. (2016), Aura OMI observations of regional SO2 and NO2 pollution changes from 2005 to 2015, Atmos. Chem. Phys., 16, 4605-4629, doi:10.5194/acp-16-4605-2016.
Li, C., et al. (2015), A new method for global retrievals of HCHO total columns from the Suomi National Polar-orbiting Partnership Ozone Mapping and Profiler Suite, Geophys. Res. Lett., 42, 2515-2522, doi:10.1002/2015GL063204.
Choi, S., et al. (2014), First estimates of global free-tropospheric NO2 abundances derived using a cloud-slicing technique applied to satellite observations from the Aura Ozone Monitoring Instrument (OMI), Atmos. Chem. Phys., 14, 10565-10588, doi:10.5194/acp-14-10565-2014.
Li, C., et al. (2013), A fast and sensitive new satellite SO2 retrieval algorithm based on principal component analysis: Application to the ozone monitoring instrument, Geophys. Res. Lett., 40, doi:10.1002/2013GL058134.
Vasilkov, A. P., J. Joiner, and R. J. D. Spurr (2013), Note on rotational-Raman scattering in the O2 A- and B-bands, Atmos. Meas. Tech., 6, 981-990, doi:10.5194/amt-6-981-2013.
Choi, S., et al. (2012), Analysis of satellite-derived Arctic tropospheric BrO columns in conjunction with aircraft measurements during ARCTAS and ARCPAC, Atmos. Chem. Phys., 12, 1255-1285, doi:10.5194/acp-12-1255-2012.
Avery, M., et al. (2010), Convective distribution of tropospheric ozone and tracers in the Central American ITCZ region: Evidence from observations during TC4, J. Geophys. Res., 115, D00J21, doi:10.1029/2009JD013450.
O’Byrne, G., et al. (2010), Surface reflectivity from the Ozone Monitoring Instrument using the Moderate Resolution Imaging Spectroradiometer to eliminate clouds: Effects of snow on ultraviolet and visible trace gas retrievals, J. Geophys. Res., 115, D17305, doi:10.1029/2009JD013079.
Vasilkov, A. P., et al. (2010), What do satellite backscatter ultraviolet and visible spectrometers see over snow and ice? A study of clouds and ozone using the A-train, Atmos. Meas. Tech., 3, 619-629, doi:10.5194/amt-3-619-2010.
Yoshida, Y., et al. (2010), The impact of the 2005 Gulf hurricanes on pollution emissions as inferred from Ozone Monitoring Instrument (OMI) nitrogen dioxide, Atmos. Environ., 44, 1443-1448, doi:10.1016/j.atmosenv.2010.01.037.
Vasilkov, A. P., et al. (2009), Impact of tropospheric nitrogen dioxide on the regional radiation budget, Atmos. Chem. Phys., 9, 6389-6400, doi:10.5194/acp-9-6389-2009.
Ziemke, J. R., et al. (2009), Ozone mixing ratios inside tropical deep convective clouds from OMI satellite measurements, Atmos. Chem. Phys., 9, 573-583, doi:10.5194/acp-9-573-2009.
Sneep, M., et al. (2008), Three-way comparison between OMI and PARASOL cloud pressure products, J. Geophys. Res., 113, D15S23, doi:10.1029/2007JD008694.
Vasilkov, A. P., et al. (2008), Evaluation of the OMI cloud pressures derived from rotational Raman scattering by comparisons with other satellite data and radiative transfer simulations, J. Geophys. Res., 113, D15S19, doi:10.1029/2007JD008689.

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