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Pereira, H. M., Martins, I. S., Rosa, I. M. D., Kim, H., Leadley, P., Popp, A., van Vuuren, D. P., Hurtt, G., Quoss, L., Arneth, A., Baisero, D., Bakkenes, M., Chaplin-Kramer, R., Chini, L., Di Marco, M., Ferrier, S., Fujimori, S., Guerra, C. A., Harfoot, M., Harwood, T. D., Hasegawa, T., Haverd, V., Havlik, P., Hellweg, S., Hilbers, J. P., Hill, S. L. L., Hirata, A., Hoskins, A. J., Humpenoder, F., Janse, J. H., Jetz, W., Johnson, J. A., Krause, A., Leclere, D., Matsui, T., Meijer, J. R., Merow, C., Obersteiner, M., Ohashi, H., De Palma, A., Poulter, B., Purvis, A., Quesada, B., Rondinini, C., Schipper, A. M., Settele, J., Sharp, R., Stehfest, E., Strassburg, B. B. N., Takahashi, K., Talluto, M. V., Thuiller, W., Titeux, N., Visconti, P., Ware, C., Wolf, F., Alkemade, R. 2024. Global trends and scenarios for terrestrial biodiversity and ecosystem services from 1900 to 2050. Science. 384(6694), 458-465. doi: 10.1126/science.adn3441 ( Hurtt (CMS 2020)   )  [quad chart]
Pereira, H. M., Martins, I. S., Rosa, I. M. D., Kim, H., Leadley, P., Popp, A., van Vuuren, D. P., Hurtt, G., Quoss, L., Arneth, A., Baisero, D., Bakkenes, M., Chaplin-Kramer, R., Chini, L., Di Marco, M., Ferrier, S., Fujimori, S., Guerra, C. A., Harfoot, M., Harwood, T. D., Hasegawa, T., Haverd, V., Havlik, P., Hellweg, S., Hilbers, J. P., Hill, S. L. L., Hirata, A., Hoskins, A. J., Humpenoder, F., Janse, J. H., Jetz, W., Johnson, J. A., Krause, A., Leclere, D., Matsui, T., Meijer, J. R., Merow, C., Obersteiner, M., Ohashi, H., De Palma, A., Poulter, B., Purvis, A., Quesada, B., Rondinini, C., Schipper, A. M., Settele, J., Sharp, R., Stehfest, E., Strassburg, B. B. N., Takahashi, K., Talluto, M. V., Thuiller, W., Titeux, N., Visconti, P., Ware, C., Wolf, F., Alkemade, R. 2024. Global trends and scenarios for terrestrial biodiversity and ecosystem services from 1900 to 2050. Science. 384(6694), 458-465. doi: 10.1126/science.adn3441 ( Hurtt (CMS 2020)   )  [quad chart]
Rawlins, M. A., Karmalkar, A. V. 2024. Regime shifts in Arctic terrestrial hydrology manifested from impacts of climate warming. The Cryosphere. 18(3), 1033-1052. doi: 10.5194/tc-18-1033-2024 ( Rawlins (RSWQ 2017)   )  [quad chart]
Foster, K. T., Sun, W., Shiga, Y. P., Mao, J., Michalak, A. M. 2024. Multiscale assessment of North American terrestrial carbon balance. Biogeosciences. 21(3), 869-891. doi: 10.5194/bg-21-869-2024 ( Michalak (TE 2021)   )  [quad chart]
Burrell, A. L., Cooperdock, S., Potter, S., Berner, L. T., Hember, R., Macander, M. J., Walker, X. J., Massey, R., Foster, A. C., Mack, M. C., Goetz, S. J., Rogers, B. 2024. The predictability of near-term forest biomass change in boreal North America. Ecosphere. 15(1). doi: 10.1002/ecs2.4737 ( Goetz (TE 2021)   )  [quad chart]
Kim, J. E., Wang, J. A., Li, Y., Czimczik, C. I., Randerson, J. T. 2024. Wildfire-induced increases in photosynthesis in boreal forest ecosystems of North America. Global Change Biology. 30(1). doi: 10.1111/gcb.17151 ( Wang (TE 2021)   )  [quad chart]
Hogan, J. A., Domke, G. M., Zhu, K., Johnson, D. J., Lichstein, J. W. 2024. Climate change determines the sign of productivity trends in US forests. Proceedings of the National Academy of Sciences. 121(4). doi: 10.1073/pnas.2311132121 ( Saatchi (CMS 2015)  , 1 citations )  [quad chart]
Hessilt, T. D., Rogers, B. M., Scholten, R. C., Potter, S., Janssen, T. A. J., Veraverbeke, S. 2024. Geographically divergent trends in snow disappearance timing and fire ignitions across boreal North America. Biogeosciences. 21(1), 109-129. doi: 10.5194/bg-21-109-2024 ( Rogers (TE 2014)  , 1 citations )  [quad chart]
Murray-Tortarolo, G., Perea, K., Mendoza-Ponce, A., Martinez-Arroyo, A., Murguia-Flores, F., Jaramillo, V. J., Serrano-Medrano, M., Garcia-Garcia, M., Vargas, R., Chatterjee, A., Michalak, A., Zhang, Z., Wang, J. A., Poulter, B. 2024. A Greenhouse Gas Budget for Mexico During 2000-2019. Journal of Geophysical Research: Biogeosciences. 129(1). doi: 10.1029/2023JG007667 ( Vargas (CMS 2020)   )  [quad chart]
Kennedy, S., C. Wade, L. Ma, H. Leslie-Bole, C. Dahl, A. Favero, A. Zhao, K. Kennedy, A. Trivedi, S. Edelstein, A. Joel Canton, A. Denvir, K. Clark-Sutton, S. Wood, G. Hurtt, and N. Hultman (2024). “Harnessing the Land Sector to Achieve U.S. Climate Goals: An all-of-society approach to meeting our climate goals and bolstering the carbon sink by 2035.” Center for Global Sustainability, University of Maryland and America Is All In. 21 pp. https://americaisallin.com/harnessing-the-land-sector ( Hurtt (CMS 2020)   )  [quad chart]
Hurtt, G., Ma, L., Shen, Q. (2024) "Potential Pathways for Growing the Forest Carbon Sink." In Maryland's Climate Pollution Reduction Plan. Appendix Forestry and Land Use Sector Modeling. PDF ( Hurtt (CMS 2020)   )  [quad chart]
Whitcomb, J., Chen, R., Clewley, D., Kimball, J. S., Pastick, N. J., Yi, Y., Moghaddam, M. 2023. Maps of active layer thickness in northern Alaska by upscaling P-band polarimetric synthetic aperture radar retrievals. Environmental Research Letters. 19(1), 014046. doi: 10.1088/1748-9326/ad127f ( Kimball (TE 2018)   )  [quad chart]
Kyzivat, E. D., Smith, L. C. 2023. A Closer Look at the Effects of Lake Area, Aquatic Vegetation, and Double-Counted Wetlands on Pan-Arctic Lake Methane Emissions Estimates. Geophysical Research Letters. 50(24). doi: 10.1029/2023GL104825 ( Butman (TE 2021)   )  [quad chart]
Wang, Z., Xie, Y., Jia, X., Ma, L., Hurtt, G. 2023. High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale. Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems. doi: 10.1145/3589132.3625577 ( Hurtt (CMS 2020)   )  [quad chart]
Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Bakker, D. C. E., Hauck, J., Landschutzer, P., Le Quere, C., Luijkx, I. T., Peters, G. P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Anthoni, P., Barbero, L., Bates, N. R., Becker, M., Bellouin, N., Decharme, B., Bopp, L., Brasika, I. B. M., Cadule, P., Chamberlain, M. A., Chandra, N., Chau, T., Chevallier, F., Chini, L. P., Cronin, M., Dou, X., Enyo, K., Evans, W., Falk, S., Feely, R. A., Feng, L., Ford, D. J., Gasser, T., Ghattas, J., Gkritzalis, T., Grassi, G., Gregor, L., Gruber, N., Gurses, O., Harris, I., Hefner, M., Heinke, J., Houghton, R. A., Hurtt, G. C., Iida, Y., Ilyina, T., Jacobson, A. R., Jain, A., Jarnikova, T., Jersild, A., Jiang, F., Jin, Z., Joos, F., Kato, E., Keeling, R. F., Kennedy, D., Klein Goldewijk, K., Knauer, J., Korsbakken, J. I., Kortzinger, A., Lan, X., Lefevre, N., Li, H., Liu, J., Liu, Z., Ma, L., Marland, G., Mayot, N., McGuire, P. C., McKinley, G. A., Meyer, G., Morgan, E. J., Munro, D. R., Nakaoka, S., Niwa, Y., O'Brien, K. M., Olsen, A., Omar, A. M., Ono, T., Paulsen, M., Pierrot, D., Pocock, K., Poulter, B., Powis, C. M., Rehder, G., Resplandy, L., Robertson, E., Rodenbeck, C., Rosan, T. M., Schwinger, J., Seferian, R., Smallman, T. L., Smith, S. M., Sospedra-Alfonso, R., Sun, Q., Sutton, A. J., Sweeney, C., Takao, S., Tans, P. P., Tian, H., Tilbrook, B., Tsujino, H., Tubiello, F., van der Werf, G. R., van Ooijen, E., Wanninkhof, R., Watanabe, M., Wimart-Rousseau, C., Yang, D., Yang, X., Yuan, W., Yue, X., Zaehle, S., Zeng, J., Zheng, B. 2023. Global Carbon Budget 2023. Earth System Science Data. 15(12), 5301-5369. doi: 10.5194/essd-15-5301-2023 ( Hurtt (CMS 2020)  , 34 citations )  [quad chart]
Liu, Z., Kimball, J. S., Ballantyne, A., Watts, J. D., Natali, S. M., Rogers, B. M., Yi, Y., Klene, A. E., Moghaddam, M., Du, J., Zona, D. 2023. Widespread deepening of the active layer in northern permafrost regions from 2003 to 2020. Environmental Research Letters. doi: 10.1088/1748-9326/ad0f73 ( Du (TE 2021)  Kimball (TE 2018)   )  [quad chart]
Donahue, K., Kimball, J. S., Du, J., Bunt, F., Colliander, A., Moghaddam, M., Johnson, J., Kim, Y., Rawlins, M. A. 2023. Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations. Frontiers in Big Data. 6. doi: 10.3389/fdata.2023.1243559 ( Kimball (TE 2018)   )  [quad chart]
Shumilo, L., Skakun, S., Gore, M. L., Shelestov, A., Kussul, N., Hurtt, G., Karabchuk, D., Yarotskiy, V. 2023. Conservation policies and management in the Ukrainian Emerald Network have maintained reforestation rate despite the war. Communications Earth & Environment. 4(1). doi: 10.1038/s43247-023-01099-4 ( Hurtt (CMS 2020)  , 1 citations )  [quad chart]
Reavis, C. W., Reba, M. L., Shults, D. D., Runkle, B. R. K. 2023. Assessing the methane mitigation potential of innovative management in US rice production. Environmental Research Letters. 18(12), 124020. doi: 10.1088/1748-9326/ad0925 ( Runkle (CMS 2020)   )  [quad chart]
Chen, S., Woodcock, C. E., Saphangthong, T., Olofsson, P. 2023. Satellite data reveals a recent increase in shifting cultivation and associated carbon emissions in Laos. Environmental Research Letters. 18(11), 114012. doi: 10.1088/1748-9326/acffdd ( Woodcock (CMS 2018)  , 1 citations )  [quad chart]
Yoseph, E., Hoy, E., Elder, C. D., Ludwig, S. M., Thompson, D. R., Miller, C. E. 2023. Tundra fire increases the likelihood of methane hotspot formation in the Yukon-Kuskokwim Delta, Alaska, USA. Environmental Research Letters. 18(10), 104042. doi: 10.1088/1748-9326/acf50b ( AAC Management  Miller (TE 2018)  , 2 citations )  [quad chart]  [What We're Learning]
Massey, R., Rogers, B. M., Berner, L. T., Cooperdock, S., Mack, M. C., Walker, X. J., Goetz, S. J. 2023. Forest composition change and biophysical climate feedbacks across boreal North America. Nature Climate Change. doi: 10.1038/s41558-023-01851-w ( Goetz (TE 2021)  Rogers (CARBON 2016)  , 1 citations )  [quad chart]
Lundquist, J. D., Kim, R. S., Durand, M., Prugh, L. R. 2023. Seasonal Peak Snow Predictability Derived From Early-Season Snow in North America. Geophysical Research Letters. 50(17). doi: 10.1029/2023GL103802 ( Prugh (IDS 2019)  , 1 citations )  [quad chart]
Emick, E., Babcock, C., White, G. W., Hudak, A. T., Domke, G. M., Finley, A. O. 2023. An approach to estimating forest biomass while quantifying estimate uncertainty and correcting bias in machine learning maps. Remote Sensing of Environment. 295, 113678. doi: 10.1016/j.rse.2023.113678 ( Hudak (CMS 2018)  , 2 citations )  [quad chart]
Wang, R., Bowling, D. R., Gamon, J. A., Smith, K. R., Yu, R., Hmimina, G., Ueyama, M., Noormets, A., Kolb, T. E., Richardson, A. D., Bourque, C. P., Bracho, R., Blanken, P. D., Black, T. A., Arain, M. A. 2023. Snow-corrected vegetation indices for improved gross primary productivity assessment in North American evergreen forests. Agricultural and Forest Meteorology. 340, 109600. doi: 10.1016/j.agrformet.2023.109600 ( Gamon (TE 2014)  , 3 citations )  [quad chart]
Huemmrich, K. F., Gamon, J., Campbell, P., Mora, M., Vargas Zesati, S. A., Almanza, B., Tweedie, C. E. 2023. 20 years of change in Tundra NDVI from coupled field and satellite observations. Environmental Research Letters. doi: 10.1088/1748-9326/acee17 ( Huemmrich (TE 2016)  Huemmrich (TE 2018)   )  [quad chart]
Wang, R., Springer, K. R., Gamon, J. A. 2023. Confounding effects of snow cover on remotely sensed vegetation indices of evergreen and deciduous trees: An experimental study. Global Change Biology. doi: 10.1111/gcb.16916 ( Gamon (TE 2014)  , 3 citations )  [quad chart]
Brown, M. E., Mitchell, C., Halabisky, M., Gustafson, B., Gomes, H. D. R., Goes, J. I., Zhang, X., Campbell, A. D., Poulter, B. 2023. Assessment of the NASA carbon monitoring system wet carbon stakeholder community: data needs, gaps, and opportunities. Environmental Research Letters. 18(8), 084005. doi: 10.1088/1748-9326/ace208 ( Poulter (CMS 2018)  , 1 citations )  [quad chart]
Potter, S., Cooperdock, S., Veraverbeke, S., Walker, X., Mack, M. C., Goetz, S. J., Baltzer, J., Bourgeau-Chavez, L., Burrell, A., Dieleman, C., French, N., Hantson, S., Hoy, E. E., Jenkins, L., Johnstone, J. F., Kane, E. S., Natali, S. M., Randerson, J. T., Turetsky, M. R., Whitman, E., Wiggins, E., Rogers, B. M. 2023. Burned area and carbon emissions across northwestern boreal North America from 2001-2019. Biogeosciences. 20(13), 2785-2804. doi: 10.5194/bg-20-2785-2023 ( Rogers (CARBON 2016)  Rogers (TE 2014)  , 5 citations )  [quad chart]  [What We're Learning]
Sullender, B. K., Cunningham, C. X., Lundquist, J. D., Prugh, L. R. 2023. Defining the danger zone: critical snow properties for predator-prey interactions. Oikos. doi: 10.1111/oik.09925 ( Prugh (IDS 2019)   )  [quad chart]
Sun, W., Luo, X., Fang, Y., Shiga, Y. P., Zhang, Y., Fisher, J. B., Keenan, T. F., Michalak, A. M. 2023. Biome-scale temperature sensitivity of ecosystem respiration revealed by atmospheric CO2 observations. Nature Ecology & Evolution. doi: 10.1038/s41559-023-02093-x ( Keenan (CARBON 2020)  Keenan (IDS 2016)  , 1 citations )  [quad chart]
Kyzivat, E. D., Smith, L. C. 2023. Contemporary and historical detection of small lakes using super resolution Landsat imagery: promise and peril. GIScience & Remote Sensing. 60(1). doi: 10.1080/15481603.2023.2207288 ( Butman (TE 2021)  , 1 citations )  [quad chart]
Kennedy, J., Hurtt, G. C., Liang, X., Chini, L., Ma, L. 2023. Changing cropland in changing climates: quantifying two decades of global cropland changes. Environmental Research Letters. 18(6), 064010. doi: 10.1088/1748-9326/acca97 ( Hurtt (CMS 2020)   )  [quad chart]
Ma, L., Hurtt, G., Tang, H., Lamb, R., Lister, A., Chini, L., Dubayah, R., Armston, J., Campbell, E., Duncanson, L., Healey, S., O'Neil-Dunne, J., Ott, L., Poulter, B., Shen, Q. 2023. Spatial heterogeneity of global forest aboveground carbon stocks and fluxes constrained by spaceborne lidar data and mechanistic modeling. Global Change Biology. doi: 10.1111/gcb.16682 ( Hurtt (CMS 2020)  , 3 citations )  [quad chart]
Greaves, H. E., Boelman, N. T., Brinkman, T. J., Liston, G. E., Prugh, L. R., Reinking, A. K. 2023. Simulating future climate change impacts on snow- and ice-related driving hazards in Arctic-boreal regions. Environmental Research Letters. 18(2), 025006. doi: 10.1088/1748-9326/acb5b1 ( Boelman (TE 2018)  , 2 citations )  [quad chart]  [What We're Learning]
Olaya, P., Kennedy, D., Llamas, R., Valera, L., Vargas, R., Lofstead, J., Taufer, M. 2023. Building Trust in Earth Science Findings through Data Traceability and Results Explainability. IEEE Transactions on Parallel and Distributed Systems. 34(2), 704-717. doi: 10.1109/TPDS.2022.3220539 ( Vargas (CMS 2020)  , 8 citations )  [quad chart]
Li, X., Wessels, K., Armston, J., Hancock, S., Mathieu, R., Main, R., Naidoo, L., Erasmus, B., Scholes, R. 2023. First validation of GEDI canopy heights in African savannas. Remote Sensing of Environment. 285, 113402. doi: 10.1016/j.rse.2022.113402 ( Armston (CMS 2020)  , 8 citations )  [quad chart]
Wessels, K., Li, X., Bouvet, A., Mathieu, R., Main, R., Naidoo, L., Erasmus, B., Asner, G. P. 2023. Quantifying the sensitivity of L-Band SAR to a decade of vegetation structure changes in savannas. Remote Sensing of Environment. 284, 113369. doi: 10.1016/j.rse.2022.113369 ( Armston (CMS 2020)  , 3 citations )  [quad chart]
Vargas, R., Le, V. H. 2023. The paradox of assessing greenhouse gases from soils for nature-based solutions. Biogeosciences. 20(1), 15-26. doi: 10.5194/bg-20-15-2023 ( Vargas (CMS 2020)  , 6 citations )  [quad chart]
Kennedy, K. M., A. Zhao, S. J. Smith, K. O’Keefe, B. Phelps, S. Kennedy, R. Cui, C. Dahl, S. Dodds, S. Edelstein, S. Francis, E. Ghosh, G. Hurtt, D. Irani, L. Ma, Y. Ou, R. Praisa, A. Taylor, A. Trivedi, N. Wetzler, J. Williams, N. Hultman (2023) Maryland’s Climate Pathway: An analysis of actions the State can take to achieve Maryland’s nation-leading greenhouse gas emissions reduction goals. 118 pages. Center for Global Sustainability, University of Maryland. https://www.marylandsclimatepathway.com/services-7 ( Hurtt (CMS 2020)   )  [quad chart]
Bourgeau-Chavez, L. L., Graham, J. A., Vander Bilt, D. J. L., Battaglia, M. J. 2022. Assessing the broadscale effects of wildfire under extreme drought conditions to boreal peatlands. Frontiers in Forests and Global Change. 5. doi: 10.3389/ffgc.2022.965605 ( Bourgeau-Chavez (RRNES 2015)  Bourgeau-Chavez (TE 2014)  Bourgeau-Chavez (TE 2018)  , 1 citations )  [quad chart]  [What We're Learning]
Cheng, R., Kohler, P., Frankenberg, C. 2022. Impact of radiation variations on temporal upscaling of instantaneous Solar-Induced Chlorophyll Fluorescence. Agricultural and Forest Meteorology. 327, 109197. doi: 10.1016/j.agrformet.2022.109197 ( Lin (CMS 2018)  , 6 citations )  [quad chart]
Cunningham, C. X., Liston, G. E., Reinking, A. K., Boelman, N. T., Brinkman, T. J., Joly, K., Hebblewhite, M., Boutin, S., Czetwertynski, S., Sielecki, L. E., Prugh, L. R. 2022. Human and animal movements combine with snow to increase moose-vehicle collisions in winter. Environmental Research Letters. 17(12), 125007. doi: 10.1088/1748-9326/aca8bf ( Boelman (TE 2018)  , 2 citations )  [quad chart]
Kraatz, S., Bourgeau-Chavez, L., Battaglia, M., Poley, A., Siqueira, P. 2022. Mapping and Scaling of In Situ Above Ground Biomass to Regional Extent With SAR in the Great Slave Region. Earth and Space Science. 9(12). doi: 10.1029/2022EA002431 ( Bourgeau-Chavez (TE 2018)  , 1 citations )  [quad chart]  [What We're Learning]
Mauro, F., Monleon, V. J., Gray, A. N., Kuegler, O., Temesgen, H., Hudak, A. T., Fekety, P. A., Yang, Z. 2022. Comparison of Model-Assisted Endogenous Poststratification Methods for Estimation of Above-Ground Biomass Change in Oregon, USA. Remote Sensing. 14(23), 6024. doi: 10.3390/rs14236024 ( Hudak (CMS 2018)  , 1 citations )  [quad chart]
Foster, A. C., Wang, J. A., Frost, G. V., Davidson, S. J., Hoy, E., Turner, K. W., Sonnentag, O., Epstein, H., Berner, L. T., Armstrong, A. H., Kang, M., Rogers, B. M., Campbell, E., Miner, K. R., Orndahl, K. M., Bourgeau-Chavez, L. L., Lutz, D. A., French, N., Chen, D., Du, J., Shestakova, T. A., Shuman, J. K., Tape, K., Virkkala, A., Potter, C., Goetz, S. 2022. Disturbances in North American boreal forest and Arctic tundra: impacts, interactions, and responses. Environmental Research Letters. 17(11), 113001. doi: 10.1088/1748-9326/ac98d7 ( Bourgeau-Chavez (TE 2018)  Goetz (TE 2018)  , 13 citations )  [quad chart]  [What We're Learning]
Liu, Z., Kimball, J. S., Ballantyne, A. P., Parazoo, N. C., Wang, W. J., Bastos, A., Madani, N., Natali, S. M., Watts, J. D., Rogers, B. M., Ciais, P., Yu, K., Virkkala, A., Chevallier, F., Peters, W., Patra, P. K., Chandra, N. 2022. Respiratory loss during late-growing season determines the net carbon dioxide sink in northern permafrost regions. Nature Communications. 13(1). doi: 10.1038/s41467-022-33293-x ( Kimball (TE 2018)  Natali (TE 2014)  Parazoo (IDS 2016)  Rogers (CARBON 2016)  Watts (NIP 2017)  , 3 citations )  [quad chart]
Corrao, M. V., Hudak, A. T., Desautel, C., Bright, B. C., Carlo, E. S. 2022. Carbon monitoring and above ground biomass trends: Anchor forest opportunities for tribal, private and federal relationships. Trees, Forests and People. 9, 100302. doi: 10.1016/j.tfp.2022.100302 ( Hudak (CMS 2018)   )  [quad chart]
Elder, M., Phillips, C. A., Potter, S., Frumhoff, P. C., Rogers, B. M. 2022. The costs and benefits of fire management for carbon mitigation in Alaska through 2100. Environmental Research Letters. 17(10), 105001. doi: 10.1088/1748-9326/ac8e85 ( Rogers (TE 2014)  , 1 citations )  [quad chart]
Murray-Tortarolo, G., Poulter, B., Vargas, R., Hayes, D., Michalak, A. M., Williams, C., Windham-Myers, L., Wang, J. A., Wickland, K. P., Butman, D., Tian, H., Sitch, S., Friedlingstein, P., O'Sullivan, M., Briggs, P., Arora, V., Lombardozzi, D., Jain, A. K., Yuan, W., Seferian, R., Nabel, J., Wiltshire, A., Arneth, A., Lienert, S., Zaehle, S., Bastrikov, V., Goll, D., Vuichard, N., Walker, A., Kato, E., Yue, X., Zhang, Z., Chaterjee, A., Kurz, W. 2022. A Process-Model Perspective on Recent Changes in the Carbon Cycle of North America. Journal of Geophysical Research: Biogeosciences. 127(9). doi: 10.1029/2022JG006904 ( Hayes (CMS 2020)  Poulter (CMS 2018)  Vargas (CMS 2020)  , 7 citations )  [quad chart]
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Brown, M. E., Escobar, V. M., Younis, F. M., Sepulveda Carlo, E., McGroddy, M., Arias, S. D., Griffith, P., Hurtt, G. 2022. Scientist-stakeholder relationships drive carbon data product transfer effectiveness within NASA program. Environmental Research Letters. 17(9), 095004. doi: 10.1088/1748-9326/ac87bf ( Hurtt (CMS 2020)  Poulter (CMS 2018)  , 3 citations )  [quad chart]
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