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2016
Marce R, George P, Buscarinu P, Deidda M, Dunalska J, de Eyto E, G F, Grossart H-P, Istvanovics V, Lenhardt M et al..  2016.  Automatic high frequency monitoring for improved lake and reservoir management. Environmental Science and Technology. 50
Dugan HA, Woolway RI, Santoso AB, Corman JR, Jaimes A, Nodine ER, Patil VP, Zwart JA, Brentrup J.A., Hetherington AL et al..  2016.  Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes. Inland Waters.
Smyth R.L., Caruso A., M.A. Borre, Zhu G., Hetherington A.L., Jennings E., Klug J.L., Piccolo M.L., Rusak J.A., Weather K.C. et al..  2016.  High-frequency lake data benefits society through broader engagement with citizens, stakeholders, and decision makers: a synthesis of GLEON data use survey and member experiences. . Inland Waters. 6:555-564.
Honti M., Istvanovics V., Staehr P.A., Brighenti L.S., Zhu M., Zhu G..  2016.  Robust estimation of lake metabolism by coupling high frequency dissolved oxygen and chlorophyll fluorescence data in a Bayesian framework. Inland Waters. 6
Honti M., Istvanovics V., Staehr P.A., Brighenti L.S., Zhu M., Zhu G..  2016.  Robust estimation of lake metabolism by coupling high frequency dissolved oxygen and chlorophyll fluorescence data in a Bayesian framework. Inland Waters. 6
Honti M, Istvánovics V, Staehr PA, Brighenti LS, Zhu M, Zhu G.  2016.  Robust estimation of lake metabolism by coupling high frequency dissolved oxygen and chlorophyll fluorescence data in a Bayesian framework. Inland Waters. 6(4)
Honti M, Istvánovics V, Staehr PA, Brighenti LS, Zhu M, Zhu G.  2016.  Robust estimation of lake metabolism by coupling high frequency dissolved oxygen and chlorophyll fluorescence data in a Bayesian framework. Inland Waters. 6(4)
2015
Tan Z., Zhuang Q..  2015.  Arctic lakes are continuous methane sources to the atmosphere under warming conditions. Environmental Research Letters. 10
Read EK, Patil VP, Oliver SK, Hetherington AL, Brentrup J.A., Zwart JA, Winters KM, Corman JR, Nodine ER, Woolway RI et al..  2015.  The importance of lake-specific characteristics for water quality across the continental United States. Ecological Applications. 25(4):943-955.
Zhu M., Zhu G., Nurminen L..  2015.  The influence of macrophytes on sediment resuspension and the effect of associated nutrients in a shallow and large lake (Lake Taihu, China). Plos ONE. 10(6)
Zhu M., Zhu G., Nurminen L..  2015.  The influence of macrophytes on sediment resuspension and the effect of associated nutrients in a shallow and large lake (Lake Taihu, China). Plos ONE. 10(6)
Tan Z., Zhuang Q., Henze D.K., Frankenberg C., Dlugokencky E., Sweeney C., Turner A.J..  2015.  Mapping pan-Arctic methane emissions at high spatial resolution using an adjoint atmospheric transport and inversion method and process-based wetland and lake biogeochemical models. Atmospheric Chemistry and Physics Discussions. 15
Tan Z., Zhuang Q..  2015.  Methane emissions from pan-Arctic lakes during the 21st century: An analysis with process-based models of lake evolution and biogeochemistry. Journal of Geophysical Research: Biogeosciences. 120
Tan Z., Zhuang Q., K. Anthony W.  2015.  Modeling methane emissions from arctic lakes: Model development and site-level study. Journal of Advances in Modeling Earth Systems. 7
Zwart JA, Solomon CT, Jones SE.  2015.  Phytoplankton traits predict ecosystem function in a global set of lakes. Ecology. 96(8):2257-2264.
O'Reilly C, Sharma S, Gray DK, Hampton SE, Read JS, Rowley RJ, Schneider P, Lenters JD, McIntyre PB, Kraemer BM et al..  2015.  Rapid and highly variable warming of lake surface waters around the globe. Geophysical Research Letters. 42(24):10,773-10,781.

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