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Thorpe, A. K., O'Handley, C., Emmitt, G. D., DeCola, P. L., Hopkins, F. M., Yadav, V., Guha, A., Newman, S., Herner, J. D., Falk, M., Duren, R. M. 2021. Improved methane emission estimates using AVIRIS-NG and an Airborne Doppler Wind Lidar. Remote Sensing of Environment. 266, 112681. doi: 10.1016/j.rse.2021.112681 ( Duren (CMS 2015)  Duren (CMS 2018)   )  [quad chart]
Jensen, P. O., Meddens, A. J., Fisher, S., Wirsing, A. J., Murray, D. L., Thornton, D. H. 2021. Broaden your horizon: The use of remotely sensed data for modeling populations of forest species at landscape scales. Forest Ecology and Management. 500, 119640. doi: 10.1016/j.foreco.2021.119640 ( Hudak (CMS 2018)   )  [quad chart]
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)  , 1 citations )  [quad chart]
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]
Bisson, K. M., Boss, E., Werdell, P. J., Ibrahim, A., Frouin, R., Behrenfeld, M. J. 2021. Seasonal bias in global ocean color observations. Applied Optics. 60(23), 6978. doi: 10.1364/AO.426137 ( Behrenfeld (TASNPP 2017)  , 1 citations )  [quad chart]
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)   )  [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]
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]
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)  , 3 citations )  [quad chart]
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]
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)  , 2 citations )  [quad chart]
Lamb, B. T., Tzortziou, M. A., McDonald, K. C. 2021. A Fused Radar-Optical Approach for Mapping Wetlands and Deepwaters of the Mid-Atlantic and Gulf Coast Regions of the United States. Remote Sensing. 13(13), 2495. doi: 10.3390/rs13132495 ( Tzortziou (CARBON 2013)  Tzortziou (IDS 2016)   )  [quad chart]
Raczka, B., Hoar, T. J., Duarte, H. F., Fox, A. M., Anderson, J. L., Bowling, D. R., Lin, J. C. 2021. Improving CLM5.0 Biomass and Carbon Exchange across the Western US Using a Data Assimilation System. Journal of Advances in Modeling Earth Systems. doi: 10.1029/2020MS002421 ( Lin (CMS 2015)  Lin (CMS 2018)   )  [quad chart]
Bhatt, U. S., Walker, D. A., Raynolds, M. K., Walsh, J. E., Bieniek, P. A., Cai, L., Comiso, J. C., Epstein, H. E., Frost, G. V., Gersten, R., Hendricks, A. S., Pinzon, J. E., Stock, L., Tucker, C. J. 2021. Climate drivers of Arctic tundra variability and change using an indicators framework. Environmental Research Letters. 16(5), 055019. doi: 10.1088/1748-9326/abe676 ( Frost (TE 2014)   )  [quad chart]
Scholten, R. C., Jandt, R., Miller, E. A., Rogers, B. M., Veraverbeke, S. 2021. Overwintering fires in boreal forests. Nature. 593(7859), 399-404. doi: 10.1038/s41586-021-03437-y ( Rogers (TE 2014)  , 5 citations )  [quad chart]
Rosentreter, J. A., Borges, A. V., Deemer, B. R., Holgerson, M. A., Liu, S., Song, C., Melack, J., Raymond, P. A., Duarte, C. M., Allen, G. H., Olefeldt, D., Poulter, B., Battin, T. I., Eyre, B. D. 2021. Half of global methane emissions come from highly variable aquatic ecosystem sources. Nature Geoscience. 14(4), 225-230. doi: 10.1038/s41561-021-00715-2 ( Melack (IDS 2016)  Poulter (CMS 2018)  , 20 citations )  [quad chart]
Virkkala, A., Aalto, J., Rogers, B. M., Tagesson, T., Treat, C. C., Natali, S. M., Watts, J. D., Potter, S., Lehtonen, A., Mauritz, M., Schuur, E. A., Kochendorfer, J., Zona, D., Oechel, W., Kobayashi, H., Humphreys, E., Goeckede, M., Iwata, H., Lafleur, P. M., Euskirchen, E. S., Bokhorst, S., Marushchak, M., Martikainen, P. J., Elberling, B., Voigt, C., Biasi, C., Sonnentag, O., Parmentier, F. W., Ueyama, M., Celis, G., St.Loius, V. L., Emmerton, C. A., Peichl, M., Chi, J., Jarveoja, J., Nilsson, M. B., Oberbauer, S. F., Torn, M. S., Park, S., Dolman, H., Mammarella, I., Chae, N., Poyatos, R., Lopez-Blanco, E., Rojle Christensen, T., Jung Kwon, M., Sachs, T., Holl, D., Luoto, M. 2021. Statistical upscaling of ecosystem CO 2 fluxes across the terrestrial tundra and boreal domain: regional patterns and uncertainties. Global Change Biology. DOI: 10.1111/gcb.15659 ( Rogers (CARBON 2016)  , 4 citations )  [quad chart]
Tang, X., Woodcock, C. E., Olofsson, P., Hutyra, L. R. 2021. Spatiotemporal assessment of land use/land cover change and associated carbon emissions and uptake in the Mekong River Basin. Remote Sensing of Environment. 256, 112336. doi: 10.1016/j.rse.2021.112336 ( Olofsson (CMS 2015)   )  [quad chart]
Wang, J. A., Baccini, A., Farina, M., Randerson, J. T., Friedl, M. A. 2021. Disturbance suppresses the aboveground carbon sink in North American boreal forests. Nature Climate Change. doi: 10.1038/s41558-021-01027-4 ( Baccini (CMS 2015)  Randerson (CMS 2016)  Woodcock (TE 2014)  , 3 citations )  [quad chart]
Wang, J. A., Baccini, A., Farina, M., Randerson, J. T., Friedl, M. A. 2021. Disturbance suppresses the aboveground carbon sink in North American boreal forests. Nature Climate Change. 11(5), 435-441. doi: 10.1038/s41558-021-01027-4 ( Baccini (CMS 2015)  Randerson (CMS 2016)  Woodcock (TE 2014)  , 3 citations )  [quad chart]
Zhou, Y., Williams, C. A., Hasler, N., Gu, H., Kennedy, R. E. 2021. Beyond biomass to carbon fluxes: application and evaluation of a comprehensive Forest Carbon Monitoring System. Environmental Research Letters. doi: 10.1088/1748-9326/abf06d ( Kennedy (CMS 2015)  Williams (CMS 2014)  , 1 citations )  [quad chart]
Maasakkers, J. D., Jacob, D. J., Sulprizio, M. P., Scarpelli, T. R., Nesser, H., Sheng, J., Zhang, Y., Lu, X., Bloom, A. A., Bowman, K. W., Worden, J. R., Parker, R. J. 2021. 2010-2015 North American methane emissions, sectoral contributions, and trends: a high-resolution inversion of GOSAT observations of atmospheric methane. Atmospheric Chemistry and Physics. 21(6), 4339-4356. doi: 10.5194/acp-21-4339-2021 ( Jacob (CMS 2016)  Worden (CMS 2018)  , 6 citations )  [quad chart]
Zhang, Y., Jacob, D. J., Lu, X., Maasakkers, J. D., Scarpelli, T. R., Sheng, J., Shen, L., Qu, Z., Sulprizio, M. P., Chang, J., Bloom, A. A., Ma, S., Worden, J., Parker, R. J., Boesch, H. 2021. Attribution of the accelerating increase in atmospheric methane during 2010-2018 by inverse analysis of GOSAT observations. Atmospheric Chemistry and Physics. 21(5), 3643-3666. doi: 10.5194/acp-21-3643-2021 ( Jacob (CMS 2016)  , 6 citations )  [quad chart]
Ma, L., Hurtt, G., Tang, H., Lamb, R. L., Campbell, E., Dubayah, R. O., Guy, M., Huang, W., Lister, A., Lu, J., O'Neil-Dunne, J., Rudee, A., Shen, Q., Silva, C. E. 2021. High-resolution forest carbon modeling for climate mitigation planning over the RGGI region, USA. Environmental Research Letters. doi: 10.1088/1748-9326/abe4f4 ( Hurtt (CMS 2016)  , 2 citations )  [quad chart]
Cosgrove, C. L., Wells, J., Nolin, A. W., Putera, J., Prugh, L. R. 2021. Seasonal influence of snow conditions on Dall's sheep productivity in Wrangell-St Elias National Park and Preserve. PLOS ONE. 16(2), e0244787. doi: 10.1371/journal.pone.0244787 ( Prugh (TE 2014)  , 2 citations )  [quad chart]
Williams, C. A., Gu, H., Jiao, T. 2021. Climate impacts of U.S. forest loss span net warming to net cooling. Science Advances. 7(7), eaax8859. doi: 10.1126/sciadv.aax8859 ( Kennedy (CMS 2015)  Williams (CMS 2014)  , 1 citations )  [quad chart]
Liu, J., Baskaran, L., Bowman, K., Schimel, D., Bloom, A. A., Parazoo, N. C., Oda, T., Carroll, D., Menemenlis, D., Joiner, J., Commane, R., Daube, B., Gatti, L. V., McKain, K., Miller, J., Stephens, B. B., Sweeney, C., Wofsy, S. 2021. Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020). Earth System Science Data. 13(2), 299-330. doi: 10.5194/essd-13-299-2021 ( Bowman (CMS 2016)  Oda (CARBON 2013)  , 2 citations )  [quad chart]
Gurney, K. R., Liang, J., Roest, G., Song, Y., Mueller, K., Lauvaux, T. 2021. Under-reporting of greenhouse gas emissions in U.S. cities. Nature Communications. 12(1). doi: 10.1038/s41467-020-20871-0 ( Gurney (CARBON 2013)  , 6 citations )  [quad chart]
Li, X., Wigneron, J., Frappart, F., Fan, L., Ciais, P., Fensholt, R., Entekhabi, D., Brandt, M., Konings, A. G., Liu, X., Wang, M., Al-Yaari, A., Moisy, C. 2021. Global-scale assessment and inter-comparison of recently developed/reprocessed microwave satellite vegetation optical depth products. Remote Sensing of Environment. 253, 112208. doi: 10.1016/j.rse.2020.112208 ( Konings (NIP 2017)  , 10 citations )  [quad chart]
Li, X., Wigneron, J., Frappart, F., Fan, L., Ciais, P., Fensholt, R., Entekhabi, D., Brandt, M., Konings, A. G., Liu, X., Wang, M., Al-Yaari, A., Moisy, C. 2021. Global-scale assessment and inter-comparison of recently developed/reprocessed microwave satellite vegetation optical depth products. Remote Sensing of Environment. 253, 112208. doi: 10.1016/j.rse.2020.112208 ( Konings (NIP 2017)  , 10 citations )  [quad chart]
Feldman, A. F., Short Gianotti, D. J., Konings, A. G., Gentine, P., Entekhabi, D. 2021. Patterns of plant rehydration and growth following pulses of soil moisture availability. Biogeosciences. 18(3), 831-847. doi: 10.5194/bg-18-831-2021 ( Konings (NIP 2017)   )  [quad chart]
Holtzman, N. M., Anderegg, L. D. L., Kraatz, S., Mavrovic, A., Sonnentag, O., Pappas, C., Cosh, M. H., Langlois, A., Lakhankar, T., Tesser, D., Steiner, N., Colliander, A., Roy, A., Konings, A. G. 2021. L-band vegetation optical depth as an indicator of plant water potential in a temperate deciduous forest stand. Biogeosciences. 18(2), 739-753. doi: 10.5194/bg-18-739-2021 ( Konings (NIP 2017)  , 4 citations )  [quad chart]
Jiang, C., Guan, K., Wu, G., Peng, B., Wang, S. 2021. A daily, 250 m and real-time gross primary productivity product (2000-present) covering the contiguous United States. Earth System Science Data. 13(2), 281-298. doi: 10.5194/essd-13-281-2021 ( Guan (CMS 2016)  , 3 citations )  [quad chart]
Lamb, R. L., Hurtt, G., Boudreau, T. J., Campbell, E., Sepulveda Carlo, E., Chu, H., de Mooy, J., Dubayah, R. O., Gonsalves, D., Guy, M., Hultman, N. E., Lehman, S., Leon, B., Lister, A., Lynch, C., Ma, L., Martin, C. R., Robbins, N. P., Rudee, A., Silva, C. E., Skoglund, C., Tang, H. 2021. Context and future directions for integrating forest carbon into sub-national climate mitigation planning in the RGGI region of the U.S. Environmental Research Letters. doi: 10.1088/1748-9326/abe6c2 ( Hurtt (CMS 2016)  Tang (NIP 2017)  , 1 citations )  [quad chart]
Cusworth, D. H., Duren, R. M., Thorpe, A. K., Pandey, S., Maasakkers, J. D., Aben, I., Jervis, D., Varon, D. J., Jacob, D. J., Randles, C. A., Gautam, R., Omara, M., Schade, G. W., Dennison, P. E., Frankenberg, C., Gordon, D., Lopinto, E., Miller, C. E. 2021. Multisatellite Imaging of a Gas Well Blowout Enables Quantification of Total Methane Emissions. Geophysical Research Letters. 48(2). doi: 10.1029/2020GL090864 ( Duren (CMS 2018)  , 5 citations )  [quad chart]
Mauro, F., Hudak, A. T., Fekety, P. A., Frank, B., Temesgen, H., Bell, D. M., Gregory, M. J., McCarley, T. R. 2021. Regional Modeling of Forest Fuels and Structural Attributes Using Airborne Laser Scanning Data in Oregon. Remote Sensing. 13(2), 261. doi: 10.3390/rs13020261 ( Hudak (CMS 2018)   )  [quad chart]
Temesgen, H., F. Mauro, A.T. Hudak, B. Frank, V. Monleon, P. Fekety, M. Palmer and T. Bryant. (2021) Fay-Herriot models for stand-level inventories using variable radius plot data. Frontiers in Forests and Global Change 4: 745916. doi: 10.3389/ffgc.2021.745916 ( Hudak (CMS 2018)   )  [quad chart]
Menlove, J., Healey, S. P. 2020. A Comprehensive Forest Biomass Dataset for the USA Allows Customized Validation of Remotely Sensed Biomass Estimates. Remote Sensing. 12(24), 4141. doi: 10.3390/rs12244141 ( Healey (CMS 2016)   )  [quad chart]
Tang, H., Ma, L., Lister, A., O'Neil-Dunne, J., Lu, J., Lamb, R. L., Dubayah, R. O., Hurtt, G. 2020. High-resolution forest carbon mapping for climate mitigation baselines over the RGGI region, USA. Environmental Research Letters. doi: 10.1088/1748-9326/abd2ef ( Dubayah (CMS 2011)  Hurtt (CMS 2014)  Hurtt (CMS 2016)  Tang (NIP 2017)  , 5 citations )  [quad chart]
Sayers, M., Bosse, K., Fahnenstiel, G., Shuchman, R. 2020. Carbon Fixation Trends in Eleven of the World's Largest Lakes: 2003-2018. Water. 12(12), 3500. doi: 10.3390/w12123500 ( Sayers (CMS 2016)  , 3 citations )  [quad chart]
Arevalo, P., Bullock, E. L., Woodcock, C. E., Olofsson, P. 2020. A Suite of Tools for Continuous Land Change Monitoring in Google Earth Engine. Frontiers in Climate. 2. doi: 10.3389/fclim.2020.576740 ( Olofsson (CMS 2015)  , 5 citations )  [quad chart]
Park, H., Watanabe, E., Kim, Y., Polyakov, I., Oshima, K., Zhang, X., Kimball, J. S., Yang, D. 2020. Increasing riverine heat influx triggers Arctic sea ice decline and oceanic and atmospheric warming. Science Advances. 6(45), eabc4699. doi: 10.1126/sciadv.abc4699 ( Kimball (TE 2014)  , 12 citations )  [quad chart]
Davidson, S. C., Bohrer, G., Gurarie, E., LaPoint, S., Mahoney, P. J., Boelman, N. T., Eitel, J. U. H., Prugh, L. R., Vierling, L. A., Jennewein, J., Grier, E., Couriot, O., Kelly, A. P., Meddens, A. J. H., Oliver, R. Y., Kays, R., Wikelski, M., Aarvak, T., Ackerman, J. T., Alves, J. A., Bayne, E., Bedrosian, B., Belant, J. L., Berdahl, A. M., Berlin, A. M., Berteaux, D., Bety, J., Boiko, D., Booms, T. L., Borg, B. L., Boutin, S., Boyd, W. S., Brides, K., Brown, S., Bulyuk, V. N., Burnham, K. K., Cabot, D., Casazza, M., Christie, K., Craig, E. H., Davis, S. E., Davison, T., Demma, D., DeSorbo, C. R., Dixon, A., Domenech, R., Eichhorn, G., Elliott, K., Evenson, J. R., Exo, K., Ferguson, S. H., Fiedler, W., Fisk, A., Fort, J., Franke, A., Fuller, M. R., Garthe, S., Gauthier, G., Gilchrist, G., Glazov, P., Gray, C. E., Gremillet, D., Griffin, L., Hallworth, M. T., Harrison, A., Hennin, H. L., Hipfner, J. M., Hodson, J., Johnson, J. A., Joly, K., Jones, K., Katzner, T. E., Kidd, J. W., Knight, E. C., Kochert, M. N., Kolzsch, A., Kruckenberg, H., Lagasse, B. J., Lai, S., Lamarre, J., Lanctot, R. B., Larter, N. C., Latham, A. D. M., Latty, C. J., Lawler, J. P., Leandri-Breton, D., Lee, H., Lewis, S. B., Love, O. P., Madsen, J., Maftei, M., Mallory, M. L., Mangipane, B., Markovets, M. Y., Marra, P. P., McGuire, R., McIntyre, C. L., McKinnon, E. A., Miller, T. A., Moonen, S., Mu, T., Muskens, G. J. D. M., Ng, J., Nicholson, K. L., Oien, I. J., Overton, C., Owen, P. A., Patterson, A., Petersen, A., Pokrovsky, I., Powell, L. L., Prieto, R., Quillfeldt, P., Rausch, J., Russell, K., Saalfeld, S. T., Schekkerman, H., Schmutz, J. A., Schwemmer, P., Seip, D. R., Shreading, A., Silva, M. A., Smith, B. W., Smith, F., Smith, J. P., Snell, K. R. S., Sokolov, A., Sokolov, V., Solovyeva, D. V., Sorum, M. S., Tertitski, G., Therrien, J. F., Thorup, K., Tibbitts, T. L., Tulp, I., Uher-Koch, B. D., van Bemmelen, R. S. A., Van Wilgenburg, S., Von Duyke, A. L., Watson, J. L., Watts, B. D., Williams, J. A., Wilson, M. T., Wright, J. R., Yates, M. A., Yurkowski, D. J., Zydelis, R., Hebblewhite, M. 2020. Ecological insights from three decades of animal movement tracking across a changing Arctic. Science. 370(6517), 712-715. doi: 10.1126/science.abb7080 ( Boelman (TE 2014)  Bohrer (BIOCLIM 2010)  , 15 citations )  [quad chart]  [What We're Learning]
Hurtt, G. C., Chini, L., Sahajpal, R., Frolking, S., Bodirsky, B. L., Calvin, K., Doelman, J. C., Fisk, J., Fujimori, S., Klein Goldewijk, K., Hasegawa, T., Havlik, P., Heinimann, A., Humpenoder, F., Jungclaus, J., Kaplan, J. O., Kennedy, J., Krisztin, T., Lawrence, D., Lawrence, P., Ma, L., Mertz, O., Pongratz, J., Popp, A., Poulter, B., Riahi, K., Shevliakova, E., Stehfest, E., Thornton, P., Tubiello, F. N., van Vuuren, D. P., Zhang, X. 2020. Harmonization of global land use change and management for the period 850-2100 (LUH2) for CMIP6. Geoscientific Model Development. 13(11), 5425-5464. doi: 10.5194/gmd-13-5425-2020 ( Chini (TE 2012)  Hurtt (CMS 2016)  , 67 citations )  [quad chart]
He, J., Loboda, T. V. 2020. Modeling cloud-to-ground lightning probability in Alaskan tundra through the integration of Weather Research and Forecast (WRF) model and machine learning method. Environmental Research Letters. 15(11), 115009. doi: 10.1088/1748-9326/abbc3b ( Loboda (TE 2014)  , 1 citations )  [quad chart]
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