Aragon B, R Houborg, K Tu, JB Fisher, M McCabe, CubeSats Enable High Spatiotemporal Retrievals of Crop-Water Use for Precision Agriculture, Remote Sensing, 10 (12): 1867, 2018.

Chang Y, Qin D, Ding Y, Zhao Q, Zhang S, A modified MOD16 algorithm to estimate evapotranspiration over alpine meadow on the Tibetan Plateau, China, Journal of Hydrology, 561:16-30, 2018.

Lu C, Zhao T, Shi X, Cao S, Ecological restoration by afforestation may increase groundwater depth and create potentially large ecological and water opportunity costs in arid and semiarid China, Journal of Cleaner Production, 176:1213-1222, 2018.

Purdy AJ, JB Fisher, ML Goulden, A Colliander, G Halverson, K Tu, JS Famiglietti, SMAP soil moisture improves global evapotranspiration, Remote Sensing of Environment, 219: 1-14, 2018.

Wang S, Ibrom A, Bauer-Gottwein P, Garcia M, Incorporating diffuse radiation into a light use efficiency and evapotranspiration model - An 11-year study in a high latitude deciduous forest, Agricultural and Forest Meteorology, 248:479-493, 2018.

Yao Y, Liang S, Cao B, Liu S, Yu G, Jia K, Zhang X, Zhang Y, Chen J, Fisher JB (2018). Satellite detection of water stress effects on terrestrial latent heat flux with MODIS shortwave infrared reflectance data. Journal of Geophysical Research: Atmospheres, 123.


Feng F, Li X, Yao Y, Liu M, Long-term spatial distributions and trends of the latent heat fluxes over the global cropland ecosystem using multiple satellite-based models. PLoS ONE, 12(8): e0183771, 2017.

Fisher JB, F Melton, E Middleton, C Hain, M Anderson, R Allen, MF McCabe, S Hook, D Baldocchi, PA Townsend, A Kilic, K Tu, DD Miralles, J Perret, J-P Lagouarde, D Waliser, AJ Purdy, A French, D Schimel, JS Famiglietti, G Stephens, EF Wood. (2017), The future of evapotranspiration: Global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources, Water Resources Research, 53, 2618–2626, doi:10.1002/2016WR020175.

Li Y, CHuanga, J Houa, J Gud, G Zhud, X Li. 2017. Mapping daily evapotranspiration based on spatiotemporal fusion of ASTER and MODIS images over irrigated agricultural areas in the Heihe River Basin, Northwest China, Agricultural and Forest Meteorology, 244-245:82-97.

McCabe MF, Aragon B, Houborg R, Mascaro J, CubeSats in hydrology: Ultrahigh-resolution insights into vegetation dynamics and terrestrial evaporation. Water Resources Research, 53, 10,017–10,024., 2017.

Wang S, A Ibrom, K Pilegaard, P Bauer-Gottwein, and M Garcia, Effects of diffuse radiation on carbon and water fluxes of a high latitude temperate deciduous forest, Geophysical Research Abstracts, Vol. 19, EGU2017-12865-2, 2017.

Webster E, Ramp D, Kingsford R, Incorporating an iterative energy restraint for the Surface Energy Balance System (SEBS), Remote Sensing of Environment, 198:267-285, 2017.

Yao, Y., Liang, S., Li, X., Chen, J., Liu, S., Jia, K., Zhang, X., Xiao, Z., Fisher, J.B., Mu, Q., Pan, M., Liu, M., Cheng, J., Jiang, B., Xie, X., Grünwald, T., Bernhofer, C., Roupsard, O., 2017. Improving global terrestrial evapotranspiration estimation using support vector machine by merging three process-based algorithms. Agricultural and Forest Meteorology, 242: 55-74.

Yao Y, S Liang, Xianglan Li, Y Zhang, J Chen, K Jia, X Zhang, JB Fisher, X Wang, L Zhang, J Xu, C Shao, G Posse, Y Li, V Magliulo, A Varlagin, EJ Moors, J Boike, C Macfarlane, T Kato, N Buchmann, DP Billesbach, J Beringer, S Wolf, SA Papuga, G Wohlfahrt, L Montagnani, J Ardö, E Paul-Limoges, C Emmel, L Hörtnagl, T Sachs, C Gruening, B Gioli, A López-Ballesteros, R Steinbrecher, B Gielen, Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method, Journal of Hydrology, 553: 508-526, 2017.

Yao Y, S Liang, J Yu, J Chen, S Liu, Y Lin, JB Fisher, TR McVicar, J Cheng, KJia, X Zhang, X Xie, B Jiang, L Sun, A simple temperature domain two-source model for estimating agricultural field surface energy fluxes from Landsat images, Journal of Geophysical Research - Atmospheres, 122, 5211-5236, doi:10.1002/2016JD026370, 2017.

Yao Y, S Liang, J Yu, J, Zhao S, Lin Y, Jia K, Zhang X, Cheng J, Xie X, Sun L, Wang X, Zhang L, Differences in estimating terrestrial water flux from three satellite-based Priestley-Taylor algorithms, International Journal of Applied Earth Observation and Geoinformation, 56:1–12, 2017.


Feng F, Li X, Yao Y, Liang S, Chen J, Zhao X, et al. (2016) An Empirical Orthogonal Function Based Algorithm for Estimating Terrestrial Latent Heat Flux from Eddy Covariance, Meteorological and Satellite Observations. PLoS ONE 11(7): e0160150. doi:10.1371/journal.pone.0160150

Gao, Y., Gan, G., Liu, M., Wang, J. (2016) Evaluating soil evaporation parameterizations at near-instantaneous scales using surface dryness indices, Journal of Hydrology, 541, pp. 1199-1211.

McCabe, M. F., Ershadi, A., Jimenez, C., Miralles, D. G., , and Wood, E. F. 2016. The GEWEX LandFlux project: evaluation of model evaporation using tower-based and globally-gridded forcing data, Geoscientific Model Development, 9, 283–305.

Michel D., C. Jiménez, D. M. Miralles, M. Jung, M. Hirschi, A. Ershadi, B. Martens, M. F. McCabe, J. B. Fisher, Q. Mu, S. I. Seneviratne, E. F. Wood, and D. Fernández-Prieto, The WACMOS-ET project – Part 1: Tower-scale performance of four observation-based evapotranspiration algorithms, Hydrology and Earth System Sciences, 20, 803-822, doi:10.5194/hess-20-803-2016, doi:10.5194/hess-20-823-2016, 2016.

Miralles D. G, C. Jiménez, M. Jung, D. Miche, A. Ershadi, M. F. McCabe, M. Hirschi, A. J. Dolman, J. B. Fisher, B. Martens, Q. Mu, S. I. Seneviratne, U. Weber, E. F. Wood and D.Fernández-Prieto, The WACMOS-ET project – Part 2: Evaluation of global land evaporation data sets, Hydrology and Earth System Sciences, 20, 823-842, 2016.

Yang, Z., Zhang, Q., Yang, Y., Hao, X., and Zhang, H., Evaluation of evapotranspiration models over semi-arid and semi-humid areas of China. Hydrological Processes, 30: 4292–4313. doi: 10.1002/hyp.10824, 2016.

Zhang K, Kimbal JS and Running SW. A review of remote sensing based actual evapotranspiration estimation, WIREs Water 3:834–853. doi: 10.1002/wat2.1168, 2016.

Zhang, K., J. Ma, G. Zhu, T. Ma, T. Han, and L. L. Feng (2016), Parameter sensitivity analysis and optimization for a satellite-based evapotranspiration model across multiple sites using Moderate Resolution Imaging Spectroradiometer and flux data, J. Geophys. Res. Atmos., 122, doi:10.1002/2016JD025768.

Zhu, G., Li, X., Zhang, K., Ding, Z., Han, T., Ma, J., Huang, C., He, J., and Ma, T., Multi-model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging. Hydrological Processes, 30: 2861–2879. doi: 10.1002/hyp.10832, 2016.


Badgley, G., Fisher, J.B., Jiménez, C., Tu, K.P., Vinukollu, R., 2015. On uncertainty in global terrestrial evapotranspiration estimates from choice of input forcing datasets. Journal of Hydrometeorology 16(4): 1449-1455.

Cao S and Zhang J, Political risks arising from the impacts of large-scale afforestation on water resources of the Tibetan Plateau, Gondwana Research, 28(2):898-903, 2015.

Feng F, J Chen, X Li, Y Yao, S Liang, M Liu, N Zhang, Y Guo, J Yu and M Sun. 2015. Validity of five satellite-based latent heat flux algorithms for semi-arid ecosystems, Remote Sensing, 7, 16733–16755; doi:10.3390/rs71215853.

Mao, J., Fu, W., Shi, X., Ricciuto, D., Fisher, J.B., Dickinson, R., Wei, Y., Shem, W., Piao, S., Wang, K., Schwalm, C., Tian, H., Mu, M., Arain, A., Ciais, P., Cook, R., Dai, Y., Hayes, D., Hoffman, F., Huang, M., Huang, S., Huntzinger, D., Ito, A., Jain, A., King, A., Lei, H., Lu, C., Michalak, A., Parazoo, N., Peng, C., Peng, S., Poulter, B., Schaefer, K., Jafarov, E., Thornton, P., Wang, W., Zeng, N., Zhenzhong, Z., Fang, Z., Zhu, Q., Zhu, Z., 2015. Disentangling climatic and anthropogenic controls on global terrestrial evapotranspiration trends. Environmental Research Letters 10: 094008.

Parr, D.; Wang, G.; Bjerklie, D.; Parr, D.; Wang, G.; Bjerklie, D. Integrating Remote Sensing Data on Evapotranspiration and Leaf Area Index with Hydrological Modeling: Impacts on Model Performance and Future Predictions. J. Hydrometeorol. 2015, 16, 2086–2100.

Yao, Yunjun; Shunlin Liang, Xianglan Li, Jiquan Chen, Kaicun Wang, Kun Jia, Jie Cheng, Bo Jiang, Joshua B. Fisher, Qiaozhen Mu, Thomas Grünwald, Christian Bernhofer, Olivier Roupsard. A satellite-based hybrid algorithm to determine the Priestley–Taylor parameter for global terrestrial latent heat flux estimation across multiple biomes, Remote Sensing of Environment. 165 (2015) 216–233.

Zhuang, Q. and Wu, B. (2015). Estimating Evapotranspiration from an Improved Two-Source Energy Balance Model Using ASTER Satellite Imagery. Water 7:6673–6688; doi:10.3390/w7126653.


Armanios, D., Fisher, J.B., 2014. Measuring water availability with limited ground data: An entirely remote sensing-based hydrologic budget model of the Rufiji Basin, Tanzania using TRMM, GRACE, MODIS, SRB and AIRS. Hydrological Processes, 28(3): 853-867.

Behrangi, A., Wong, S., Mallick, K., Fisher, J.B., 2014. On the net surface water exchange rate estimated from remote sensing observation and reanalysis. International Journal of Remote Sensing, 35(6): 2170-2185.

Chen, Y., Xia, J., Liang, S., Feng, J., Fisher, J.B., Li, X., Li, X., Liu, S., Ma, Z., Miyata, A., Mu, Q., Sun, L., Tang, J., Wang, K., Wen, J., Xue, Y., Yu, G., Zha, T., Zhang, L., Zhang, Q., Zhao, T., Zhao, L., Zhou, G., Yuan, W., 2014. Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China. Remote Sensing of Environment, 140: 279-293.

Christoffersen, B.O., Restrepo-Coupe, N., Arain, M.A., Baker, I.T., Cestaro, B.P., Ciais, P., Fisher, J.B., et al., 2014. Mechanisms of water supply and vegetation demand govern the seasonality and magnitude of evapotranspiration in Amazonia and Cerrado. Agricultural and Forest Meteorology, 191: 33-50.

Clark, K.E., Torres, M.A., West, A.J., Hilton, R.G., New, M., Horwath, A.B., Fisher, J.B., Rapp, J.M., Robles Caceres, A., Malhi, Y., 2014. The hydrological regime of a forested tropical Andean valley. Hydrology and Earth System Sciences, 18: 5377-5397.

Ershadi, A., McCabe, M., Evans, J., Chaney, N., & Wood, E. (2014). Multi-site evaluation of terrestrial evaporation models using FLUXNET data. Agricultural and Forest Meteorology, 187,46–61.

Marshall MT, Funk C, Michaelsen J., 2014. Agricultural Drought Monitoring in Kenya Using Evapotranspiration Derived from Remote Sensing and Reanalysis Data, in Remote Sensing of Drought: Innovative Monitoring Approaches, Taylor and Francis, Editors: M. Anderson, J.Verdin, pp.270.

Morillas L, Villagarcía L, Domingo F, Nieto H, Uclés O, M Garcia. 2014. Environmental factors affecting the accuracy of surface fluxes from a two-source model in Mediterranean drylands: Upscaling instantaneous to daytime estimates Agricultural and Forest Meteorology, 189: 140-158.

Yao, Y., Liang, S., Li, X., Hong, Y., Fisher, J.B., Zhang, N., Chen, J., Cheng, J., Zhao, S., Zhang, X., Jiang, B., Sun, L., Jia, K., Wang, K., Chen, Y., Mu, Q., Feng, F., 2014. Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations. Journal of Geophysical Research, 119(8): 4521-4545.

Yao Y, S Liang, S Zhao, Y Zhang, Q Qin, J Cheng, K Jia, X Xie, N Zhang and M Liu. 2014. Validation and application of the modified satellite-based Priestley-Taylor algorithm for mapping terrestrial evapotranspiration. Remote Sensing, 6, 880-904; doi:10.3390/rs6010880.


Garcia M, Sandholt I, Ceccato P, Ridler M, Mougin E, Kergoat L, Morillas L, Timouk F, Fensholt R, Domingo F. 2013. Actual evapotranspiration in drylands derived from in-situ and satellite data-assessing biophysical constraints. Remote Sensing of Environment, 131: 103-118.

Guzinski R., M. C. Anderson, W. P. Kustas, H. Nieto1, and I. Sandholt, Using a thermal-based two source energy balance model with time-differencing to estimate surface energy fluxes with day–night MODIS observations, Hydrol. Earth Syst. Sci., 17, 2809–2825, 2013.

Mallick, K., Jarvis, A.J, Boegh, E., Fisher, J.B., Drewry, D.T., Tu, K.P., Hook, S.J., Hulley, G., Ardö, J., Beringer, J., Arain, A., Niyogi, D., 2013. A Surface Temperature Initiated Closure (STIC) for surface energy balance fluxes. Remote Sensing of Environment 141: 243-261.

Mallick K, Jarvis A, Fisher JB, Tu KP, Boegh E, Niyogi D. 2013. Latent heat flux and canopy conductance based on Penman-Monteith, Priestley-Taylor equation and Bouchet’s complementary hypothesis: validation over multiple biomes. Journal of Hydrometeorology.

McCabe, M., Miralles, D., Jimenez, C., Ershadi, A., Fisher, J., Mu, Z., Liang, M., Mueller, B., Sheffield, J., Seneviratne, S., Wood, E., 2013. Global-scale estimation of land surface heat fluxes from space: product assessment and intercomparison. In: Remote Sensing of Energy Fluxes and Soil Moisture Content, Ed. Petropoulos, G.P. CRC Press, Taylor & Francis Group. 538 pp.

Marshall, M., K. Tu, C. Funk, J. Michaelsen, P. Williams, C. Williams, J. Ardö, B. Marie, B. Cappelaere, A. Grandcourt, A. Nickless, Y. Nouvellon, R. Scholes, and W. Kutsch. 2013. Improving operational land surface model canopy evapotranspiration in Africa using a direct remote sensing approach. Hydrology and Earth System Sciences,  17, 1079-1091, doi:10.5194/hess-17-1079-2013.

Mueller, B., Hirschi, M., Jimenez, C., Ciais, P., Dirmeyer, P.A., Dolman, A.J., Fisher, J.B., Jung, M., Ludwig, F., Maignan, F., Miralles, D.G., McCabe, M.F., Reichstein, M., Sheffield, J., Wang, K., Wood, E.F., Zhang, Y., Seneviratne, S.I., 2013. Benchmark products for land evapotranspiration: LandFlux-EVAL multi-dataset synthesis. Hydrology and Earth System Sciences 17: 3707-3720.

Polhamus A, Fisher JB, Tu KP. 2013. What controls the error structure in evapotranspiration models? Agriculture and Forest Meteorology, 169: 12-24.

Yao Y, Liang S, Chenga J, Liu S, Fisher JB, Zhang X, Jia K, Zhao X, Qing Q, Zhaoh B, Hani S,  Zhouj G, Zhouk G, Li Y, Zhao S. 2013. MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley–Taylor algorithm. Agriculture and Forest Meteorology, 171-172: 187-202.


Boroon, M.H.R., Fisher, J.B., 2012. Linking groundwater quality and quantity: an assessment of satellite-based groundwater storage anomalies from GRACE against ground measurements of contaminants in California. Journal of Environmental Science and Engineering B 1: 1271-1284.

Fisher, J. B., G. Badgley, and E. Blyth (2012), Global nutrient limitation in terrestrial vegetation, Global Biogeochemical Cycles, 26, GB3007, doi:10.1029/2011GB004252.

Moore, S., Fisher, J.B., 2012. Challenges and opportunities in GRACE-based groundwater storage assessment and management: an example from Yemen. Water Resources Management 26: 1425-1453.


Fisher, J.B., Whittaker, R., Malhi, Y., 2011. ET Come Home: Potential evapotranspiration in geographical ecology. Global Ecology and Biogeography 20: 1-18.

Mueller, B., Seneviratne, S.I., Jiménez, C., Corti, T., Hirschi, M., Balsamo, G., Ciais, P., Dirmeyer, P., Fisher, J.B., Guo, Z., Jung, M., Maignan, F., McCabe, M.F., Reichle, R., Reichstein, M., Rodell, M., Sheffield, J., Teuling, A.J., Wang, K., Wood, E.F., Zhang, Y., 2011. Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations. Geophysical Research Letters 38: L06402, doi:10.1029/2010GL046230.

Jiménez, C., Prigent, C., Mueller, B., Seneviratne, S.I., McCabe, M.F., Wood, E.F., Rossow, W.B., Balsamo, G., Betts, A.K., Dirmeyer, P.A., Fisher, J.B., Jung, M., Kanamitsu, M., Reichle, R.H., Reichstein, M., Rodell, M., Sheffield, J., Tu, K., Wang, K., 2011. Global intercomparison of 12 land surface heat flux estimates. Journal of Geophysical Research 116: D02102, doi:10.1029/2010JD014545.

Vinukollu, R.K., Meynadier, R., Sheffield, J., & Wood, E. F. (2011). Multi-model, multisensor estimates of global evapotranspiration: Climatology, uncertainties and trends. Hydrological Processes, 25,3993–4010.

Vinukollu, R.K., Wood, E.F., Ferguson, C.R., Fisher, J.B., 2011. Global estimates of evapotranspiration for climate studies using multi-sensor remote sensing data: Evaluation of three process-based approaches. Remote Sensing of Environment 115: 801-823.

Zelazowski, P., Malhi, Y., Huntingford, C., Sitch, S., Fisher, J.B., 2011. Changes in the potential distribution of humid tropical forests on a warmer planet. Philosophical Transactions of the Royal Society A - Mathematical, Physical & Engineering Sciences 369: 137-160.


Glenn EP, Nagler PL, Huete AR. 2010. Vegetation Index Methods for Estimating Evapotranspiration by Remote Sensing, Surv Geophys, 31:531–555.

Chen, Y., J. T. Randerson, G. van der Werf, D. Morton, M. Mu, P. Kasibhatla. 2010. Nitrogen deposition in tropical forests from savanna and deforestation fires, Global Change Biology, 16(7): 2024-2038.


Phillips, O.L., Aragão, L., Lewis, S.L., Fisher, J.B., et al., 2009. Drought sensitivity of the Amazon rainforest. Science, 323(5919): 1344-1347.

Fisher, J.B., Malhi, Y., de Araújo, A.C., Bonal, D., Gamo, M., Goulden, M.L., Hirano, T., Huete, A.R., Kondo, H., Kumagai, T., Loescher, H., Miller, S., Nobre, A.D., Nouvellon, Y., Oberbauer, S.F., Panuthai, S., von Randow, C., da Rocha, H.R., Roupsard, O., Saleska, S., Tanaka, K., Tanaka, N., Tu, K.P., 2009.  The land-atmosphere water flux in the tropics. Global Change Biology 15: 2694-2714.


Leuning R., Y. Q. Zhang, A. Rajaud, H. Cleugh, K. Tu (2008), A simple surface conductance model to estimate regional evaporation using MODIS leaf area index and the Penman-Monteith equation, Water Resour. Res., 44, W10419, doi:10.1029/2007WR006562. (pdf) (correction)

Fisher JB and Tu KP, Baldocchi DD. 2008. Global estimates of the land-atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites. Remote Sensing of Environment 112(3): 909-919. (pdf)


Fisher, J.B., Baldocchi, D.D., Misson, L., Dawson, T., Goldstein, A.H., 2007.  What the towers don?t see at night: Nocturnal sap flow in trees and shrubs at two AmeriFlux sites in California. Tree Physiology 27(4): 597-610. (pdf)

Dawson, T.E., Burgess, S.S.O., Tu, K.P., Oliveira, R.S., Santiago, L.S., Fisher, J.B., Simonin, K.S., Ambrose, A.R., 2007.  Nighttime transpiration in woody plants from contrasting ecosystems.  Tree Physiology 27(4): 561-575. (pdf)


Misson L, Tu KP, and Goldstein AH. 2006. Seasonality of photosynthetic parameters in a multi-specific and vertically complex forest ecosystem in the Sierra Nevada of California, Tree Physiology, 26:729-741. (pdf)


Fisher, J.B., DeBiase, T.A., Qi, Y., Xu, M., Goldstein, A.H., 2005.  Evapotranspiration models compared on a Sierra Nevada forest ecosystem. Environmental Modelling & Software 20(6): 783-796. (pdf)

Tu KP and Dawson TE. 2005. Partitioning ecosystem respiration using stable isotope analyses of CO2, In LB Flanagan, JR Ehleringer, DE Pataki (eds.), Stable Isotopes and Biosphere-Atmosphere Interactions: Processes and Biological Controls, Elsevier Academic Press, San Diego. (pdf)


Falge E, Baldocchi D, Olson R, Anthoni P, Aubinet M, Bernhofer Ch, Burba G, Ceulemans R, Clement R, Dolman H, Granier A, Gross P, Grünwald T, Hollinger D, Jenson N-O, Katul G, Keronen P, Kowalski A, Lai CT, Law B, Meyers T, Moncrief J, Moors EJ, Munger W, Pilegaard K, Rannik U, Rebmann C, Sukyer A, Tenhunen J, Tu K, Verma S, Vesala T, Wilson K, Wofsy S. 2001a. Gap filling strategies for defensible annual sums of net ecosystem exchange. Agricultural and Forest Meteorology, 107: 43-69. (pdf)

Falge E, Baldocchi DD, Olson RJ, Anthoni P, Aubinet M, Bernhofer Ch, Burba G, Ceulemans R, Clement R, Dolman H, Granier A, Gross P, Grünwald Th, Hollinger D, Jensen N-O, Katul G, Keronen P, Kowalski A, Lai CT, Law BE, Meyers T, Moncrieff J, Moors E, Munger JW, Pilegaard K, Rannik Ü, Rebmann C, Suyker A, Tenhunen J, Tu K, Verma S, Vesala T, Wilson K, Wofsy S. 2001b. Gap filling strategies for long term energy flux data sets, a short communication. Agricultural and Forest Meteorology. 107: 71-77. (pdf)


Tu KP. 2000. Modeling plant-soil-atmosphere carbon dioxide exchange using optimality principles, PhD. Dissertation. Universitiy of New Hampshire, Durham,New Hampshire. (pdf)


Hollinger, DY, SM Goltz, EA Davidson, TJ Lee, K Tu, and HT Valentine. 1999. Seasonal patterns and environmental control of carbon dioxide and water vapor in an ecotonal boreal forest. Global Change Biology. 5(8):891-902. (pdf)

Katul G, Hsieh C-I, Bowling D, Clark K, Shurpali N,Turnipseed A, Albertson J, Tu K, Hollinger D, Evans B, Offerle B, Anderson D, Ellsworth D, Vogel C, and Oren R. 1999. Spatial variability of turbulent fluxes in the roughness sub-layer of an even-aged pine forest. Boundary Layer Meteorology, 93:1-28. (pdf)



Wang S, A Ibrom, K Pilegaard, P Bauer-Gottwein, and M Garcia, Effects of diffuse radiation on carbon and water fluxes of a high latitude temperate deciduous forest, Geophysical Research Abstracts, Vol. 19, EGU2017-12865-2, 2017.


Marshall, M.T., Tu, K.P., Thenkabail, P.S. and Brown, J.F. (2016). Recent decline in crop water productivity in the United States: a call to grow “more crop per drop”, American Geophysical Union, Fall Meeting, San Francisco, California, USA.

Marshall, M.T. and Tu, K.P. (2016). Simulating macro-scale crop yield using an optimized light-use efficiency model, American Geophysical Union, Fall Meeting, San Francisco, California, USA.Geophysical Union, Fall Meeting, San Francisco, California, USA


Marshall M and Tu K, 2015. Light- and water-use efficiency model synergy: a revised look at crop yield estimation for agricultural decision-making, American Geophysical Union, Fall Meeting, San Francisco, California, USA

Moyano C, M Garcia, L Tornos, L Recuero, A Palacios-Orueta, and L de Juana, Assessing regional crop water demand using a satellite-based combination equation with a land surface temperature component, Geophysical Research Abstracts, Vol. 17, EGU2015-15503-1, 2015.


Verma, M.; Fisher, J. B.; Mallick, K.; Ryu, Y.; Tu, K. P.; Kobayashi, H.; Guillaume, A.; Moore, G.; Ramakrishnan, L.; Hendrix, V. 2014. Evaluating ET and Its Components from the CMIP5 Models with New, Global Remote Sensing-Based Estimates, American Geophysical Union, Fall Meeting, San Francisco, California, USA.


Garcia, M, Q Mu, P Ceccato, J Ardö, E Mougin, Lt Kergoat, F Timouk, I Sandholt, and J Fisher, Satellite-based drought monitoring in the Sahel: Evaluation of two global physically-based evapotranspiration algorithms, Geophysical Research Abstracts, Vol. 15, EGU2013-13379-1, 2013. 


Marshall MT, Tu K, Funk C, Michaelsen J., 2010. A Historical Record of Actual Evapotranspiration in Sub-Saharan Africa using Climate Reanalysis and Remote Sensing Data, 24th Conference on Hydrology, American Meteorological Society. 

Tu KP, 2010. An Ecophysiological Model for Remote Sensing of GPP, American Geophysical Union, Fall Meeting, San Francisco, California, USA.


Apodaca, R. L.; Simonin, K. A.; Tu, K. P.; Cohen, R. C.; Dawson, T. E. 2009. The evolution of capturing reliable isotopic water vapor signatures: An intercomparison of measurement techniques, American Geophysical Union, Fall Meeting, San Francisco, California, USA.

Dawson, T. E.; Tu, K. P., 2009. Partitioning Respiration Between Plant and Microbial Sources Using Natural Abundance Stable Carbon Isotopes, American Geophysical Union, Fall Meeting, San Francisco, California, USA.

Fisher, J.B., Armanios, D., Tu, K.P., 2009. Global evapotranspiration from remote sensing driven by SRB, AIRS and MODIS, validated at 36 FLUXNET sites, American Geophysical Union, Fall Meeting, San Francisco, California, USA.

Fisher, J.B., Tu, K., Armanios, D., 2009. Global evapotranspiration from remote sensing. Joint 6th International GEWEX and 2nd iLEAPS Science Conference; iLEAPS ECSW Meeting; LandFlux Meeting. Melbourne, Australia.

Kahmen A., Sachse D., Arndt S. K., Tu  K. P., Vitousek P., Dawson T. E. 2009. The environmental signals that CAN and CANNOT be inferred from δ18O signals in plant cellulose, American Geophysical Union, Fall Meeting, San Francisco, California, USA.

Marshall, M. T.; Funk, C.; Tu, K. P.; Michaelsen, J. 2009. Combining Remote Sensing and Climate Reanalysis Data to Estimate Evapotranspiration in sub-Saharan Africa, American Geophysical Union, Fall Meeting, San Francisco, California, USA.

McDowell N, Baldocchi D, Barbour M, Bickford C, Cuntz M, Hanson D, Knohl A, Powers H, Rahn T, Randerson J, Riley W, Still C, Tu KP, Walcroft A. 2008. Understanding the stable isotope composition of biosphere-atmosphere CO2 exchange, Eos Trans. AGU, 89, doi: 10.1029/2008EO100002.

Tu KP, 2009. Importance of Acclimation for Modeling Canopy Photosynthesis: LAI, Amax and Optimality, American Geophysical Union, Fall Meeting, San Francisco, California, USA.


Fisher, J.B., 2008. QUERCC: Quantifying and Understanding Ecosystem Roles in the Carbon Cycle.  QUEST Annual Science Meeting, Winchester, UK.

Tu KP. 2008. Using Optimality Principles to Predict Spatio-Temporal Patterns of Vegetation-Atmosphere Fluxes at Leaf to Global Scales, American Geophysical Union, Fall Meeting, San Francisco, California, USA.

Tu KP, Knohl A, Mambelli S, Ma S, Baldocchi D, Dawson T. Observations and scaling of water use efficiency from leaf to globe. Geophysical Research Abstracts, Vol. 10, EGU2008-A-07012, 2008. 

Tu  K.P., Lai  C., Ehleringer  J., McDowell  N., Alstad  K., Griffis  T., Bowling  D., Wingate  L., Ogee  J., Burlett  R., Mortazavi  B., Knohl  A., Yakir  D., Dawson  T., Members  B. , 2008. BASIN Synthesis and Spatial Mapping of Keeling Plot Data Using an Artificial Neural Network, American Geophysical Union, Fall Meeting, San Francisco, California, USA.


Fisher, J.B., Malhi, Y., de Araújo, A.C., Bonal, D., da Rocha, H.R., Goulden, M.L., Hirano, T., Kumagai, T., Loescher, H., Miller, S.,Nobre, A.D., Oberbauer, S., Saleska, S., von Randow, C., Tu, K.P., 2007. The tropical land-atmosphere water flux: Measurements, models and controls for evapotranspiration in the Amazon. LBA-ECO 11th Science Team Meeting, Salvador, Bahia, Brazil.

Knohl, A.; Tu, K. P.; Boukili, V.; Brooks, P. D.; Mambelli, S.; Riley, W. J.; Dawson, T. E.; MIBA-Us Site Participants. 2007. MIBA-US: Temporal and Spatial Variation of Water Isotopes in Terrestrial Ecosystems Across the United States, American Geophysical Union, Fall Meeting.

Tu KP, Knohl A, Mambelli S, Ma S, Baldocchi D, DawsonT (2007), Global remote sensing of water use efficiency: Initial test and application of a synergistic approach. Eos Trans. AGU, 88(52), Fall Meet. Suppl., Abstract B33D-1597.

Fisher, JB, Tu KP (2007), Global trends in potential and actual evapotranspiration based on 20 years of satellite observations. Eos Trans. AGU, 88(52), Fall Meet. Suppl., Abstract H34D-08. 

Mambelli S, Tu KP, Knohl A, Ma S, Baldocchi DD, Dawson TE. 2007. Water use efficiency in a blue oak (Quercus douglasii) savanna – a combined analysis of stable isotopes and eddy covariance, Eos Trans. AGU, 88(52), Fall Meet. Suppl., Abstract B33D-1594.


Fisher, J.B., Misson, L., Goldstein, A.H., 2006.  Sap flow measurements for ponderosa pine, manzanita and ceanothus at Blodgett Forest, California. Blodgett  Forest Research Workshop, Georgetown, California, USA.

Tu KP and Dawson TE. 2006. BASIN - Biogeosphere-Atmosphere Stable Isotope Network. AmeriFlux Annual Meeting, Boulder, Colorado, USA.

Tu KP and Fisher JB. 2006. Remote sensing of the land-atmosphere water flux: Global validation using FLUXNET data.Proceedings of the 1st iLEAPS Science Conference, Boulder, Colorado,USA. 

Tu KP, Massman WJ and Ham JM. 2006. Partitioning ET between plant and soil components using surface temperature and fractional vegetation cover. AmeriFlux Annual Meeting, Boulder, Colorado, US. 


Brenner RE, Tu KP, Dawson TE. 2005. Linking rainfall variability with the flux and (d13C) isotopic signature of ecosystem  respiration, Eos Trans. AGU, 86(52), Fall Meet. Suppl., Abstract B11A-0992.

Fisher JB and Tu KP. 2005. New global estimates of the land-atmosphere water flux: A fully remote sensing driven, flux site-validated ecophysiological model of evapotranspiration, 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS), Beijing, China, October.

Tolle G, J Polastre, R Szewczyk, DE Culler, N Turner, KP Tu, S Burgess, TE Dawson, P Buonadonna, D Gay, W Hong. 2005. A macroscope in the redwoods. SenSys 2005: 51-63.

Tu KP. 2005. Towards global estimates of the d18O-evapotranspiration flux: Implications of non-steady state isotopic enrichment of leaf water, presented at the BASIN Workshop, San Francisco, CA, USA.

Wood EF, MF McCabe, H Su, K Tu, (2005) Globally Distributed Evapotranspiration using Remote Sensing and CEOP Data. CEOP Phase 1 Achievements -- Presentations at CEOP/IGWCO Joint Meeting, Tokyo. 


Dawson TE, Culler D, Tu KP, et al. 2004. Beyond the footprint: emerging technologies and FluxNetworks, FLUXNET 2004 Open Workshop, Firenze, Italy.

Dawson, T., Tu, K., Fisher, J.B., Baldocchi, D., 2004.  Partitioning Evaporation and Transpiration Using 18-0 of Water.  Biosphere Atmosphere Stable Isotope Network Meeting, Point Reyes, California, USA.

Dawson TE, Tu KP, Fisher J and Baldocchi D. 2004. Partitioning evaporation and transpiration using 18O of water, BASIN Workshop, Point Reyes, CA.

Fisher, J.B., 2004. Estimation of Evapotranspiration Across Multiple Scales: Sap Flow, Flux Measurement, Remote Sensing, and Sociology.  NASA Earth System Science Network Symposium, Washington, D.C., USA.

Fisher, J.B., Tu, KP., 2004.  Validation of MODIS-Derived Parameters with FLUXNET Measurements: Surface Temperature, AirTemperature, Fraction of Photosynthetically Absorbed Radiation, and Albedo.  Numerical Terradynamic Simulation Group?s MODIS Vegetation Workshop II, Missoula, Montana, USA.

Su H, Wood EF, McCabe M and Tu KP, (2004), Model intercomparison of evapotranspiration estimation based on CEOP dataset, Eos Trans. AGU, 85(47), Fall Meet. Suppl., Abstract H13C-0440. 

Tu KP and Fisher JB. 2004. Remote sensing of plant transpiration and soil evaporation using MODIS data, MODIS Vegetation Workshop II, Missoula, Montana. 


Tu KP and Dawson TE., 2003. Variation in 13C abundance in respiration from different ecosystem components: Implications for flux partitioning, Eos Trans. AGU, 84(46), Fall Meet. Suppl., AbstractB31E-0351.  

Tu KP. 2003. On the use of relative humidity as an index of surface energy partitioning, Berkeley Atmospheric Sciences Symposium, Berkeley, California. 


Tu KP. 2002. Assessing photosynthetic capacity from canopy biophysics: A test of a generalized model using eddy flux data, Eos Trans. AGU, 82(47), Fall Meet. Suppl., Abstract B12B-0826. 

Tu KP and Dawson TE. 2002. Partitioning ecosystem respiration using stable carbon isotopes: a comparative approach, BASIN Workshop, Banff, Canada.


Fisher, J., DeBiase, T.A., Qi, Y., Xu, M., Goldstein, A., 2001. Evapotranspiration methods compared on a Sierra Nevadaforest ecosystem.  American Geophysical Union, San Francisco, California, USA.

DeBiase, T.A., Qi, Y., Fisher, J.B., Baldocchi, D., Goldstein, A., Xu, M., Liang, X., 2001. Comparison of potential evapotranspiration methods based on results from FLUXNET sites in the United States. American Geophysical Union, San Francisco, California, USA.

Tu KP, Dawson TE and Ponti F (2001), Partitioning ecosystem respiration using stable carbon isotopes in a mixed annual grassland, Eos Trans. AGU, 82(47), Fall Meet. Suppl., Abstract B11A-04.


DeBiase, T.A., Fisher, J.B., Qi, Y., Goldstein, A., 1999. Evapotranspiration revisited: Linking soil moisture and canopy resistance. International Symposium on Integrated Water Resource Management, University of California, Davis, USA.


Tu KP and Munger B. AmeriFlux eddy covariance software intercomparison, AmeriFlux Annual Meeting, St. Louis, Missouri, 1997.