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2019

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Keller, C.B., J.M. Husson, R.N. Mitchell, W.F. Bottke, T.M. Gernon, P. Boehnke, E.A. Bell, N.L. Swanson-Hysell, S.E. Peters. 2019. Neoproterozoic glacial origin for the Great Unconformity. Proc. Nat. Academy Sci. U.S.A. 116(4):1136-1145. 201804350. doi:pnas.1804350116
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Keating-Bitonti, C.R., and S.E. Peters. 2019. Influence of increasing carbonate saturation in Atlantic bottom water during the late Miocene. Palaeogeography, Palaeoclimatology, Palaeoecology 518:134-142. doi:10.1016/j.palaeo.2019.01.006
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Gee, C.T., P.M. Sanders, S.E. Peters, M.T. El-Hennawy, M.S.M. Antar, I.S. Zalmout, P.D. Gingerich. 2019. Fossil burrow assemblage, not mangrove roots: reinterpretation of the main whale-bearing layer in the late Eocene of Wadi Al-Hitan, Egypt. Palaeodiversity and Palaeoenvironments 99(2):143-158. doi:10.1007/s12549-018-0337-0
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Khider, D., Emile-Geay, J., McKay, N.P., Gil, Y., Garijo, D., Ratnakar, V., Alonso-Garcia, M., Bertrand, S., Bothe, O., Brewer, P., Bunn, A., Chevalier, M., Comas-Bru, L., Csank, A., Dassié, E., DeLong, K., Felis, T., Francus, P., Frappier, A., Gray, W., Goring, S., Jonkers, L., Kahle, M., Kaufman, D., Kehrwald, N.M., Martrat, B., McGregor, H., Richey, J., Schmittner, A., Scroxton, N., Sutherland, E., Thirumalai, K., Allen, K., Arnaud, F., Axford, Y., Barrows, T., Bazin, L., Pilaar Birch, S.E., Bradley, E., Bregy, J., Capron, E., Cartapanis, O., Chiang, H.W., Cobb, K.M., Debret, M., Dommain, R., Du, J., Dyez, K., Emerick, S., Erb, M.P., Falster, G., Finsinger, W., Fortier, D., Gauthier, N., George, S., Grimm, E., Hertzberg, J., Hibbert, F., Hillman, A., Hobbs, W., Huber, M., Hughes, A.L.C., Jaccard, S., Ruan, J., Kienast, M., Konecky, B., Le Roux, G., Lyubchich, V., Novello, V.F., Olaka, L., Partin, J.W., Pearce, C., Phipps, S.J., Pignol, C., Piotrowska, N., Poli, M.S., Prokopenko, A., Schwanck, F., Stepanek, C., Swann, G.E.A., Telford, R., Thomas, E., Thomas, Z., Truebe, S., von Gunten, L., Waite, A., Weitzel, N., Wilhelm, B., Williams, J., Winstrup, M., Zhao, N., Zhou, Y., 2019. PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data. Paleoceanography and Paleoclimatology doi:10.1029/2019PA003632.
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Salonen, J.S., Korpela, M., Williams, J.W., Luoto, M., 2019. Machine-learning based reconstructions of primary and secondary climate variables from North American and European fossil pollen data. Scientific Reports 9, 15805.


Burke, K.D.*, Williams, J.W., Brewer, S., Finsinger, W., Giesecke, T., Lorenz, D.J., Ordonez, A., 2019. Differing climatic mechanisms control transient and accumulated vegetation novelty in Europe and eastern North America. Philosophical Transactions of the Royal Society B: Biological Sciences 374: 20190218.


Dawson, A., Paciorek, C. J., Goring, Simon, J., Jackson, S. T., McLachlan, J. S., and Williams J. W. (2019) Quantifying trends and uncertainty in prehistoric forest composition in the upper Midwestern United States. Ecology doi: 10.1002/ecy.2856
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Williams, J. W., Burke, K.*, Crossley, M., Grant, D.*, and Radeloff, V. C. (2019) Land use and climatic causes of environmental novelty in Wisconsin since 1890. Ecological Applications https://doi.org/10.1002/eap.1955
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Seeley, M.*, Goring, S., and Williams, J. W. (2019) Testing hypotheses about environmental and dispersal controls on Fagus grandifolia distributions in the upper Midwest Great Lakes region. Journal of Biogeography 46: 405-419


Stegner, M. A.*, Ratajczak, Z., Carpenter, S. R., and Williams, J. W. (2019) Inferring critical transitions in long time series with irregular sampling and variable time-averaging. Quaternary Science Reviews 207: 49-63.


Ramiadantsoa, T.*, Stegner, M. A.*, Williams, J. W., and Ives, A. R. (2019) The potential role of intrinsic processes in generating abrupt and quasi-synchronous tree declines during the Holocene. Ecology 100: e02579.


Krause, T. R., Russell, J. M., Zhang, R., Williams, J. W., and Jackson, S. T. (2019) Late-Quaternary vegetation, climate, and fire history of the Southeast Atlantic Coastal Plain based on a 30,000-yr multi-proxy record from White Pond, South Carolina (USA). Quaternary Research. https://doi.org/10.1017/qua.2018.95
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Mioduszewski, J., S. Vavrus, M. Wang, M. Holland, and L. Landrum, 2019: Future interannual variability of Arctic sea ice in coupled climate models. The Cryosphere, 13, 113-124.


Wang, F., S. J. Vavrus, J. A. Francis, and J. E. Martin, 2019: The role of thermal advection in regulating wintertime mean and extreme temperatures over interior North America during the past and future. Climate Dyn., 53, 6125-6144. doi:10.1007/s00382-019-04917-8.
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Holland, M. M., L. Landrum, D. Bailey, and S. Vavrus, 2019: Changing seasonal predictability of Arctic summer sea ice area in a warming climate. J. Climate, 32, 4963-4979.


Notaro, M., F. Wang, and Y. Yu, 2019: Elucidating observed land surface feedbacks across sub-Saharan Africa. Climate Dynamics, 53, 1741-1763.


Notaro, M., K. Emmett, and D. O’Leary, 2019: Spatio-temporal variability in remotely sensed vegetation greenness across Yellowstone National Park. Journal of Remote Sensing, 11, 798, doi:10.3390/rs11070798.
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Yan, B., J. Mao, X. Shi, F.M. Hoffman, M. Notaro, et al., 2019: Predictability of tropical vegetation greenness using sea surface temperatures. Environmental Research Communications, https://doi.org/10.1088/2515-7620/ab178a.
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Xu, X., Yu, X., Bao, L., Desai, A.R., 2019. Size Distribution of Particulate Matter in Runoff from Different Leaf Surfaces during Controlled Rainfall Processes, Environmental Pollution, 255, 113234, doi:10.1016/j.envpol.2019.113234.
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Xu, K., Pingintha-Durden, N., Luo, H., Durden, D., Sturtevant, C., Desai,A.R., Florian, C., Metzger, S., 2019. The eddy-covariance storage term in air: consistent community resources improve flux measurement reliability, Agricultural and Forest Meteorology, 279, 107734, doi:10.1016/j.agrformet.2019.107734.
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Xiao, J., Li, X., He., B., Arain, M.A., Beringer, J., Desai, A.R., Emmel, C., Hollinger, D.Y., KRasnova, A., Mammarella, I., Noe, S.M., Serrano Ortiz, P., Rey-Sanchez, C., Rocha, A.V., and Varlagin, A., 2019. Reply: Solar-induced chlorophyll fluorescence exhibits a nearly universal relationship with gross primary productivity across a wide variety of biomes. Global Change Biology, 25, e4–e6 , doi:10.1111/gcb.14565.
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Turner, J., Desai, A.R., Thom, J., Wickland, K.P., Olson, B., 2019. Wind sheltering impacts on land-atmosphere fluxes over fens. Frontiers in Environmental Science, 7, 179, doi:10.3389/fenvs.2019.00179.
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Sühring, M., Metzger, S., Xu, K., and Desai, A.R., 2019. Tradeoffs in flux dis-aggregation: a large-eddy simulation study. Boundary Layer Meteorology, 170, 69–93, doi:10.1007/s10546-018-0387-x.
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Reed, D.E., Desai, A.R., Whitaker, E., Nuckles, H., 2019. Evaluation of Low-Cost, Automated Lake Ice Thickness Measurements. J. Atmos. Ocean, Tech, 36, 527–534, doi:10.1175/JTECH-D-18-0214.1.
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Peltola, O., Vesala, T., Gao, Y., Räty, O., Alekseychik, P., Aurela, M., Chojnicki, B., Desai, A. R., Dolman, A. J., Euskirchen, E. S., Friborg, T., Göckede, M., Helbig, M., Humphreys, E., Jackson, R. B., Jocher, G., Joos, F., Klatt, J., Knox, S. H., Kowalska, N., Kutzbach, L., Lienert, S., Lohila, A., Mammarella, I., Nadeau, D. F., Nilsson, M. B., Oechel, W. C., Peichl, M., Pypker, T., Quinton, W., Rinne, J., Sachs, T., Samson, M., Schmid, H. P., Sonnentag, O., Wille, C., Zona, D., and Aalto, T., 2019. Monthly Gridded Data Product of Northern Wetland Methane Emissions Based on Upscaling Eddy Covariance Observations. Earth System Science Data, 11, 1263–1289, doi:10.5194/essd-11-1263-2019.
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Peaucelle, M., Bacour, C., Ciais, P., Vuichard, N., Kuppel, S., Penuelas, J.; Belelli Marchesini, L., Blanken, P.D., Buchmann, N., Chen, J., Delpierre, N., Desai, A. R., Dufrêne; E., Gianelle, D., Gimeno-Colera, C., Gruening, C., Helfter, C., Hörtnagl, L., Ibrom, A., Joffre, R., Kato, T., Kolb, T., Law, B., Lindroth, A., Mammarella, I., Merbold, L., Minerbi, S., Montagnani, L., Šigut, L., Sutton, M., Varlagin, A., Vesala, T., Wohlfahrt, G., Wolf, S., Yakir, D., Viovy, N., 2019. Co-variations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model. Global Ecology and Biogeography, 28: 1351– 1365, doi:10.1111/geb.12937.
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Loken, L., Crawford, J., Schramm, P., Stadler, P., Desai, A.R., and Stanley, E., 2019. Large spatial and temporal variability of carbon dioxide and methane in a eutrophic lake, J. Geophys Res.-Biogeosciences, 124 2248– 2266, doi:10.1029/2019JG005186.
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Knox, S., Jackson, R.B., Poulter, B., McNicol , G., Fluet-Chouinard, E., Zhang, Z., Hugelius, G., Bousquet, P., Canadell, J,G., Saunois, M., Papale, D., Chu, H., Keenan, T.F., Baldocchi, D., Torn, M.S., Mammarella, Trotta, C., I., Aurela, M., Bohrer, G., Campbell, D., Cescatti, A., Chamberlain, S., Chen, J., Chen, W., Dengel, S., Desai, A.R., Euskirchen, E., Friborg, T., Gasbarra, D., Goded, M., Goeckede, M., Heimann, M., Helbig, M., Hirano, T., Hollinger, D.Y., Iwata, H., Kang, M., Klatt, J., Krauss, K.W., Kutzbach, L., Lohila, A., Mitra, B., Morin, T.H., Nilsson, M.B., Niu, S., Noormets, A., Oechel, W.C., Peichl, M., Peltola, O., Reba, M.L., Richardson, A.D., Runkle, B.R., Ryu, Y., Sachs, T., Schäfer, K.V., Schmid, H.P., Shurpali, N., Sonnentag, O., Tang, A.C., Ueyama, M., Vargas, R., Vesala, T., Ward, E.J., Windham-Myers, L., Wohlfahrt, G., and Zona, D., 2019. FLUXNET-CH4 Synthesis Activity: Objectives, Observations, and Future Directions. Bull. Amer. Meteor. Soc., 100, 2607–2632, doi:10.1175/BAMS-D-18-0268.1.
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Keenan, T., Desai, A.R., and Moore, D., 2019. Growth and opportunities in networked synthesis through AmeriFlux New Phytologist, 222: 1685-1687. doi:10.1111/nph.15835.
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Donnelly, A., Yu, R., Liu, L., Hanes, J.M., Liang, L., Schwartz, M. and Desai, A.R., 2019. Comparing in-situ leaf observations in early spring with flux tower CO2 exchange and MODIS EVI in a northern mixed forest. Ag. Forest Meteorol., 278: 107673, doi:10.1016/j.agrformet.2019.107673.
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Bechtold, M., De Lannoy, B., Koster, R., Reichle, R., Mahanama, S., Bleuten, W., Bourgault, M.-A., Brümmer, C., Burdun, J., Desai, A.R., Devito, K., Grünwald, T., Grygoruk, M., Humphreys, E., Klatt, J., Kurbatova, J., Lohila, A., Munir, T., Nilsson, M.B., Price, J., Röhl, M., Schneider, A., and Tiemeyer, B., 2019. PEAT-CLSM: A Specific Treatment of Peatland Hydrology in the NASA Catchment Land Surface Model. J. Advances in Modeling of Earth Systems (JAMES), 11, 2130– 2162, doi:10.1029/2018MS001574.
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Alexander, S., S. Wu, and P. Block, 2019: Model selection based on sectoral application scale for increased value of hydroclimate prediction information, Journal of Water Resources Planning and Management 145(5), doi.org/10.1061/(ASCE)WR.1943-5452.0001044.
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Delorit, J., and P. Block, 2019: Using seasonal forecasts to inform water market-scale option contracts, Journal of Water Resources Planning and Management 145(5), doi.org/10.1061/(ASCE)WR.1943-5452.0001068. Winner of 2020 Best Research-Oriented Paper Award.
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Blum, A., B. Zaitchik, S. Alexander, S. Wu, Y. Zhang, S. Shukla, T. Yimanie Alemneh, and P. Block, 2019: A Grand Prediction: Communicating and evaluating 2018 summertime Upper Blue Nile rainfall and streamflow forecasts in preparation for Ethiopia’s new dam, Frontiers in Water 1:3, https://doi.org/10.3389/frwa.2019.00003.
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Zhang, Y., L. You, D. Lee, and P. Block, 2019: Integrating Climate Prediction and Regionalization into an Agro-economic Model to Guide Agricultural Planning, Climatic Change 158:435-451, doi.org/10.1007/s10584-019-02559-7.
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Giuliani, M., M. Zaniolo, A. Castelletti, G. Davoli, and P. Block, 2019: Detecting the state of the climate system via artificial intelligence to improve seasonal forecasts and inform reservoir operations, Water Resources Research 55(11):9133-9147, doi.org/10.1029/2019WR025035.
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Delorit, J., D. Parker, and P. Block, 2019: An Agro-economic approach to framing perennial farm-scale water resources demand management for water right markets, Agricultural Water Management 218:68-81, doi.org/10.1016/j.agwat.2019.03.029.
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IJ Orland, F He, M Bar-Matthews, G Chen, A Ayalon, and JE Kutzbach (2019) Resolving seasonal rainfall changes in the Middle East during the last interglacial period. Proc. Natl. Acad. Sci. U.S.A. 116, 24985–24990.


Sühring, M., Metzger, S., Xu, K., and Desai, A.R., 2019. Tradeoffs in flux dis-aggregation: a large-eddy simulation study. Boundary Layer Meteorology, 170, 69–93, doi:10.1007/s10546-018-0387-x.


Xiao, J., Li, X., He., B., Arain, M.A., Beringer, J., Desai, A.R., Emmel, C., Hollinger, D.Y., KRasnova, A., Mammarella, I., Noe, S.M., Serrano Ortiz, P., Rey-Sanchez, C., Rocha, A.V., and Varlagin, A., 2019. Reply: Solar-induced chlorophyll fluorescence exhibits a nearly universal relationship with gross primary productivity across a wide variety of biomes. Global Change Biology, 00, 1–3, doi:10.1111/gcb.14565.


Mioduszewski, J., S. Vavrus, M. Wang, M. Holland, and L. Landrum, 2019: Future interannual variability of Arctic sea ice in coupled climate models. The Cryosphere, 13, 113-124.


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