Recent Publications

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) Revision create time
Qiu, B., J. Ge, W. Guo, A.J. Pitman, and M. Mu (2020), Responses of Australian Dryland Vegetation to the 2019 Heat Wave at a Subdaily Scale, Geophys. Res. Lett., 47, e2019GL086569, doi:10.1029/2019GL086569.
Qiu, R., G. Han, X. Ma, Z. Sha, T. Shi, H. Xu, and M. Zhang (2020), CO2 Concentration, A Critical Factor Influencing the Relationship between Solar-induced Chlorophyll Fluorescence and Gross Primary Productivity, Remote Sensing, 12, 1377, doi:10.3390/rs12091377.
Peng, B., K. Guan, W. Zhou, C. Jiang, C. Frankenberg, Y. Sun, L. He, and P. Köhler (2020), Assessing the benefit of satellite-based Solar-Induced Chlorophyll T Fluorescence in crop yield prediction, Int J Appl  Earth Obs Geoinformation, 90, 102126, doi:10.1016/j.jag.2020.102126.
Miller, S.M., and A.M. Michalak (2020), The impact of improved satellite retrievals on estimates of biospheric carbon balance, Atmos. Chem. Phys., 20, 323-331, doi:10.5194/acp-20-323-2020.
Menang, K.P. (2019), Sensitivity of near-infrared transmittance calculations for remote sensing applications to recent changes in spectroscopic information, The Author. Atmospheric Science Letters, 20, e942, doi:10.1002/asl.942.
Long, D.A., Z.D. Reed, A.J. Fleisher, J. Mendonca, S. Roche, and J.T. Hodges (2020), High‐Accuracy Near‐Infrared Carbon Dioxide Intensity Measurements to Support Remote Sensing, Geophys. Res. Lett., 47, e2019GL086344, doi:10.1029/2019GL086344.
Li, X., and J.F. Xiao (2020), Global climatic controls on interannual variability of ecosystem productivity: Similarities and differences inferred from solar-induced chlorophyll fluorescence and enhanced vegetation index, Agricultural and Forest Meteorology, 288, Unsp, 108018, 108018, doi:10.1016/j.agrformet.2020.108018.
Kira, O., and Y. Sun (2020), Extraction of sub-pixel C3/C4 emissions of solar-induced chlorophyll fluorescence (SIF) using artificial neural network, ISPRS Journal of Photogrammetry and Remote Sensing, 161, 135-146, doi:10.1016/j.isprsjprs.2020.01.017.
He, Z., L. Lei, Y. Zhang, M. Sheng, C. Wu, L. Li, Z.-C. Zeng, and L.R. Welp (2020), Spatio-Temporal Mapping of Multi-Satellite Observed Column Atmospheric CO2 Using Precision-Weighted Kriging Method, Remote Sensing, 12, 576, doi:10.3390/rs12030576.
He, Z., L. Lei, Z.-C. Zeng, M. Sheng, and L.R. Welp (2020), Evidence of Carbon Uptake Associated with Vegetation Greening Trends in Eastern China, Remote Sensing, 12, 2020, doi:10.3390/rs12040718.
Guo, M., J. Li, S. Huang, and L. Wen (2020), Feasibility of Using MODIS Products to Simulate Sun-Induced Chlorophyll Fluorescence (SIF) in Boreal Forests, Remote Sensing, 12, 680, doi:10.3390/rs12040680.
Gao, Y., S. Wang, K. Guan, A. Wolanin, L. You, W. Ju, and Y. Zhang (2020), The Ability of Sun-Induced Chlorophyll Fluorescence From OCO-2 and MODIS-EVI to Monitor Spatial Variations of Soybean and Maize Yields in the Midwestern USA, Remote Sensing, 12, doi:10.3390/rs12071111.
Fleurbaey, H., H. Yi, E.M. Adkins, A.J. Fleisher, and J.T. Hodges (2020), Cavity ring-down spectroscopy of CO2 near λ = 2.06 μm: Accurate transition intensities for the Orbiting Carbon Observatory-2 (OCO-2) “strong band”, J. Quant. Spectrosc. Radiat. Transfer, 252, 107104, doi:10.1016/j.jqsrt.2020.107104.
Chen, S., S. Wang, S.U. Lin, C. Dong, K.E. Ju, Z. Zheng, C. Cheng, B. Tong, and D. Liu (2020), Optimization of the OCO-2 Cloud Screening Algorithm and Evaluation against MODIS and TCCON Measurements over Land Surfaces in Europe and Japan, Adv. Atmos. Sci., 37, 387−398, doi:10.1007/s00376-020-9160-4.
Elsey, J., M.D. Coleman, T.D. Gardiner, K.P. Menang, and K.P. Shine (2020), Atmospheric observations of the water vapour continuum in the near-infrared windows between 2500 and 6600 cm−1, Atmos. Meas. Tech., 13, 2335-2361, doi:10.5194/amt-13-2335-2020.
Castro, A.O., J. Chen, C.S. Zang, A. Shekhar, J.C. Jimenez, S. Bhattacharjee, M. Kindu, V.H. Morales, and A. Rammig (2020), OCO-2 Solar-Induced Chlorophyll Fluorescence Variability across Ecoregions of the Amazon Basin and the Extreme Drought Effects of El Niño (2015-2016), Remote Sensing, 12, 1202, doi:10.3390/rs12071202.
Bell, E., C.W. O'Dell, K.J. Davis, J. Campbell, E. Browell, A.S. Denning, J. Dobler, W. Erxleben, T.-F. Fan, S. Kooi, B. Lin, S. Pal, and B. Weir (2020), Evaluation of OCO-2 XCO2 Variability at Local and Synoptic Scales using Lidar and In Situ Observations from the ACT-America Campaigns, J. Geophys. Res., 125, e2019JD031400, doi:10.1029/2019JD031400.
Bai, W., P. Zhang, W. Zhang, G. Ma, C. Qi, and H. Liu (2020), A fast and accurate vector radiative transfer model for simulating the near-infrared hyperspectral scattering processes in clear atmospheric conditions, J. Quant. Spectrosc. Radiat. Transfer, 242, 106736, doi:10.1016/j.jqsrt.2019.106736.
Zheng, T., R. Nassar, and M. Baxter (2020), Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations To cite this article: Tao Zheng et al 2019 Environ. Res. Lett. 14 085001 View the article online for updates and enhancements. This content was downloaded from I, Environmental Research Letters, doi:10.1088/1748-9326/ab25ae.
Zeng, Z.-C., S. Chen, V. Natraj, T. Le, F. Xu, A. Merrelli, D. Crisp, S.P. Sander, and Y.L. Yung (2020), Constraining the vertical distribution of coastal dust aerosol using OCO-2 O2 T A-band measurements, Remote Sensing of Environment, 236, 111494, doi:10.1016/j.rse.2019.111494.