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Most Recently Published 20 CCE Citations:

Veraverbeke, S., Delcourt, C. J., Kukavskaya, E., Mack, M., Walker, X., Hessilt, T., Rogers, B., Scholten, R. C. 2021. Direct and longer-term carbon emissions from arctic-boreal fires: A short review of recent advances. Current Opinion in Environmental Science & Health. 23, 100277. doi: 10.1016/j.coesh.2021.100277 ( Rogers (TE 2014)  , 4 citations )
Parazoo, N., Bowman, K., Baier, B., Liu, J., Lee, M., Kuai, L., Shiga, Y., Baker, I., Whelan, M., Feng, S., Krol, M., Sweeney, C., Runkle, B., Tajfar, E., Davis, K. J. 2021. Covariation of airborne biogenic tracers (CO 2 , COS, and CO) supports stronger than expected growing season photosynthetic uptake in the southeastern US. Global Biogeochemical Cycles. DOI: 10.1029/2021GB006956 ( Bowman (CMS 2016)  Davis (EVS-2 2013)   )
Reed, D. E., Poe, J., Abraha, M., Dahlin, K. M., Chen, J. 2021. Modeled Surface-Atmosphere Fluxes from Paired Sites in the Upper Great Lakes Region Using Neural Networks. Journal of Geophysical Research: Biogeosciences. doi: 10.1029/2021JG006363 ( Chen (CARBON 2016)   )
Hu, L., Montzka, S. A., Kaushik, A., Andrews, A. E., Sweeney, C., Miller, J., Baker, I. T., Denning, S., Campbell, E., Shiga, Y. P., Tans, P., Siso, M. C., Crotwell, M., McKain, K., Thoning, K., Hall, B., Vimont, I., Elkins, J. W., Whelan, M. E., Suntharalingam, P. 2021. COS-derived GPP relationships with temperature and light help explain high-latitude atmospheric CO2 seasonal cycle amplification. Proceedings of the National Academy of Sciences. 118(33), e2103423118. doi: 10.1073/pnas.2103423118 ( Hu (TE 2018)   )  [quad chart]
Wang, J., Zhang, X., Rodman, K. 2021. Land cover composition, climate, and topography drive land surface phenology in a recently burned landscape: An application of machine learning in phenological modeling. Agricultural and Forest Meteorology. 304-305, 108432. doi: 10.1016/j.agrformet.2021.108432 ( Zhang (TASNPP 2017)   )
Thornton, P. E., Shrestha, R., Thornton, M., Kao, S., Wei, Y., Wilson, B. E. 2021. Gridded daily weather data for North America with comprehensive uncertainty quantification. Scientific Data. 8(1). doi: 10.1038/s41597-021-00973-0 ( Thornton (2020)  , 1 citations )
Lamb, R. L., Ma, L., Sahajpal, R., Edmonds, J., Hultman, N. E., Dubayah, R. O., Kennedy, J., Hurtt, G. 2021. Geospatial assessment of the economic opportunity for reforestation in Maryland, USA. Environmental Research Letters. doi: 10.1088/1748-9326/ac109a ( Hurtt (CMS 2014)   )  [quad chart]
Maguire, A. J., Eitel, J. U., Magney, T. S., Frankenberg, C., Koehler, P., Orcutt, E. L., Parazoo, N. C., Pavlick, R. P., Pierrat, Z. A. 2021. Spatial covariation between solar-induced fluorescence and vegetation indices from Arctic-Boreal landscapes. Environmental Research Letters. doi: 10.1088/1748-9326/ac188a ( Eitel (TE 2014)  Maguire (FINESST 2019)  Maguire (NPP 2020)   )  [quad chart]
Maguire, A. J., Eitel, J. U., Magney, T. S., Frankenberg, C., Koehler, P., Orcutt, E. L., Parazoo, N. C., Pavlick, R. P., Pierrat, Z. A. 2021. Spatial covariation between solar-induced fluorescence and vegetation indices from Arctic-Boreal landscapes. Environmental Research Letters. doi: 10.1088/1748-9326/ac188a ( Eitel (TE 2014)  Maguire (FINESST 2019)  Maguire (NPP 2020)   )  [quad chart]
He, J., Chen, D., Jenkins, L., Loboda, T. V. 2021. Impacts of wildfire and landscape factors on organic soil properties in Arctic tussock tundra. Environmental Research Letters. doi: 10.1088/1748-9326/ac1192 ( Loboda (TE 2014)   )  [quad chart]
Shen, L., Zavala-Araiza, D., Gautam, R., Omara, M., Scarpelli, T., Sheng, J., Sulprizio, M. P., Zhuang, J., Zhang, Y., Qu, Z., Lu, X., Hamburg, S. P., Jacob, D. J. 2021. Unravelling a large methane emission discrepancy in Mexico using satellite observations. Remote Sensing of Environment. 260, 112461. doi: 10.1016/j.rse.2021.112461 ( Jacob (CMS 2016)  Jacob (CMS 2020)  , 2 citations )  [quad chart]
Maguire, A. J., Eitel, J. U., Magney, T. S., Frankenberg, C., Koehler, P., Orcutt, E. L., Parazoo, N. C., Pavlick, R. P., Pierrat, Z. A. 2021. Spatial covariation between solar-induced fluorescence and vegetation indices from Arctic-Boreal landscapes. Environmental Research Letters. doi: 10.1088/1748-9326/ac188a ( Eitel (TE 2014)  Maguire (FINESST 2019)  Maguire (NPP 2020)   )  [quad chart]
Maguire, A. J., Eitel, J. U., Magney, T. S., Frankenberg, C., Koehler, P., Orcutt, E. L., Parazoo, N. C., Pavlick, R. P., Pierrat, Z. A. 2021. Spatial covariation between solar-induced fluorescence and vegetation indices from Arctic-Boreal landscapes. Environmental Research Letters. doi: 10.1088/1748-9326/ac188a ( Eitel (TE 2014)  Maguire (FINESST 2019)  Maguire (NPP 2020)   )  [quad chart]
Madani, N., Parazoo, N. C., Kimball, J. S., Reichle, R. H., Chatterjee, A., Watts, J. D., Saatchi, S., Liu, Z., Endsley, A., Tagesson, T., Rogers, B. M., Xu, L., Wang, J. A., Magney, T., Miller, C. E. 2021. The Impacts of Climate and Wildfire on Ecosystem Gross Primary Productivity in Alaska. Journal of Geophysical Research: Biogeosciences. 126(6). doi: 10.1029/2020JG006078 ( Chatterjee (TE 2016)  Kimball (TE 2018)  Rogers (CARBON 2016)   )
Birch, L., Schwalm, C. R., Natali, S., Lombardozzi, D., Keppel-Aleks, G., Watts, J., Lin, X., Zona, D., Oechel, W., Sachs, T., Black, T. A., Rogers, B. M. 2021. Addressing biases in Arctic-boreal carbon cycling in the Community Land Model Version 5. Geoscientific Model Development. 14(6), 3361-3382. doi: 10.5194/gmd-14-3361-2021 ( Rogers (CARBON 2016)   )  [quad chart]
Chen, D., Fu, C., Hall, J. V., Hoy, E. E., Loboda, T. V. 2021. Spatio-temporal patterns of optimal Landsat data for burn severity index calculations: Implications for high northern latitudes wildfire research. Remote Sensing of Environment. 258, 112393. doi: 10.1016/j.rse.2021.112393 ( Loboda (TE 2012)   )  [quad chart]
Weir, B., Ott, L. E., Collatz, G. J., Kawa, S. R., Poulter, B., Chatterjee, A., Oda, T., and Pawson, S.: Bias-correcting carbon fluxes derived from land-surface satellite data for retrospective and near-real-time assimilation systems, Atmos. Chem. Phys., 21, 9609–9628, doi: 10.5194/acp-21-9609-2021 ( Chatterjee (CMS 2018)   )
Pahlevan, N., Mangin, A., Balasubramanian, S. V., Smith, B., Alikas, K., Arai, K., Barbosa, C., Belanger, S., Binding, C., Bresciani, M., Giardino, C., Gurlin, D., Fan, Y., Harmel, T., Hunter, P., Ishikaza, J., Kratzer, S., Lehmann, M. K., Ligi, M., Ma, R., Martin-Lauzer, F., Olmanson, L., Oppelt, N., Pan, Y., Peters, S., Reynaud, N., Sander de Carvalho, L. A., Simis, S., Spyrakos, E., Steinmetz, F., Stelzer, K., Sterckx, S., Tormos, T., Tyler, A., Vanhellemont, Q., Warren, M. 2021. ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters. Remote Sensing of Environment. 258, 112366. doi: 10.1016/j.rse.2021.112366 ( Pahlevan (RSWQ 2016)  , 5 citations )
Pan, C. G., Kirchner, P. B., Kimball, J. S., Du, J., Rawlins, M. A. 2021. Snow Phenology and Hydrologic Timing in the Yukon River Basin, AK, USA. Remote Sensing. 13(12), 2284. doi: 10.3390/rs13122284 ( Kimball (TE 2018)  Rawlins (RSWQ 2017)   )  [quad chart]
Jiang, D., Matsushita, B., Pahlevan, N., Gurlin, D., Lehmann, M. K., Fichot, C. G., Schalles, J., Loisel, H., Binding, C., Zhang, Y., Alikas, K., Kangro, K., Uusoue, M., Ondrusek, M., Greb, S., Moses, W. J., Lohrenz, S., O'Donnell, D. 2021. Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method. Remote Sensing of Environment. 258, 112386. doi: 10.1016/j.rse.2021.112386 ( Pahlevan (RSWQ 2016)   )