Groundwater Constraints on Simulated Transpiration Variability over Southeastern Australian Forests

M. Decker Climate Change Research Centre, University of New South Wales, Sydney, New South Wales, Australia

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A. J. Pitman ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, New South Wales, Australia

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J. P. Evans Climate Change Research Centre, University of New South Wales, Sydney, New South Wales, Australia

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Abstract

A land surface scheme with and without groundwater–vegetation interactions is used to explore the impact of rainfall variability on transpiration over drought-vulnerable regions of southeastern Australia. The authors demonstrate that if groundwater is included in the simulations, there is a low correlation between rainfall variability and the response of transpiration to this variability over forested regions. Groundwater reduces near-surface water variability, enabling forests to maintain transpiration through several years of low rainfall, in agreement with independent observations of vegetation greenness. If groundwater is not included, the transpiration variability matches the rainfall variability independent of land cover type. The authors’ results suggest that omitting groundwater in regions where groundwater sustains forests will 1) probably overestimate the likelihood of forest dieback during drought, 2) overestimate a positive feedback linked with declining transpiration and a drying boundary layer, and 3) underestimate the impact of land cover change due to inadequately simulating the different responses to drought for different land cover types.

Corresponding author address: Mark Decker, Climate Change Research Centre, Level 4 Mathews Building, University of New South Wales, Sydney, NSW 2052, Australia. E-mail: m.decker@unsw.edu.au

Abstract

A land surface scheme with and without groundwater–vegetation interactions is used to explore the impact of rainfall variability on transpiration over drought-vulnerable regions of southeastern Australia. The authors demonstrate that if groundwater is included in the simulations, there is a low correlation between rainfall variability and the response of transpiration to this variability over forested regions. Groundwater reduces near-surface water variability, enabling forests to maintain transpiration through several years of low rainfall, in agreement with independent observations of vegetation greenness. If groundwater is not included, the transpiration variability matches the rainfall variability independent of land cover type. The authors’ results suggest that omitting groundwater in regions where groundwater sustains forests will 1) probably overestimate the likelihood of forest dieback during drought, 2) overestimate a positive feedback linked with declining transpiration and a drying boundary layer, and 3) underestimate the impact of land cover change due to inadequately simulating the different responses to drought for different land cover types.

Corresponding author address: Mark Decker, Climate Change Research Centre, Level 4 Mathews Building, University of New South Wales, Sydney, NSW 2052, Australia. E-mail: m.decker@unsw.edu.au
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  • Anyah, R. O., Weaver C. P. , Miguez-Macho G. , Fan Y. , and Robock A. , 2007: Incorporating water table dynamics in climate modeling: 3. Simulated groundwater influence on coupled land–atmosphere variability. J. Geophys. Res., 113, D07103, doi:10.1029/2007JD009087.

    • Search Google Scholar
    • Export Citation
  • Avila, F., Pitman A. J. , Donat M. , Alexander L. , and Abramowitz G. , 2012: Climate model simulated changes in temperature extremes due to land cover change. J. Geophys. Res., 117, D04108, doi:10.1029/2011JD016382.

    • Search Google Scholar
    • Export Citation
  • Benyon, R. G., Theiveyanathan S. , and Doody T. M. , 2006: Impacts of tree plantations on groundwater in south-eastern Australia. Aust. J. Bot., 54, 181192.

    • Search Google Scholar
    • Export Citation
  • Berg, A. A., Famiglietti J. S. , Walker J. P. , and Houser P. R. , 2003: Impact of bias correction to reanalysis products on simulations of North American soil moisture and hydrological fluxes. J. Geophys. Res., 108, 4490, doi:10.1029/2002JD003334.

    • Search Google Scholar
    • Export Citation
  • Betts, A. K., Ball J. H. , Beljaars A. C. M. , Miller M. J. , and Viterbo P. A. , 1996: The land surface-atmosphere interaction: A review based on observational and global modeling perspectives. J. Geophys. Res., 101, 72097225.

    • Search Google Scholar
    • Export Citation
  • Buermann, W., Wang Y. , Dong J. , Zhou L. , Zeng X. , Dickinson R. E. , Potter C. S. , and Myneni R. B. , 2002: Analysis of a multiyear global vegetation leaf area index data set. J. Geophys. Res., 107, 4646, doi:10.1029/2001JD000975.

    • Search Google Scholar
    • Export Citation
  • Cai, W., Cowan T. , Briggs P. , and Raupach M. , 2009: Rising temperature depletes soil moisture and exacerbates severe drought conditions across southeast Australia. Geophys. Res. Lett., 36, L21709, doi:10.1029/2009GL040334.

    • Search Google Scholar
    • Export Citation
  • Canadell, J., Jackson R. B. , Ehleringer J. R. , Mooney H. A. , Sala O. E. , and Schulze E.-D. , 1996: Maximum rooting depth of vegetation types at the global scale. Oecologia, 108, 583595.

    • Search Google Scholar
    • Export Citation
  • Chen, D.-X., and Coughenour M. B. , 2004: Photosynthesis, transpiration, and primary productivity: Scaling up from leaves to canopies and regions using process models and remotely sensed data. Global Biogeochem. Cycles, 18, GB4033, doi:10.1029/2002GB001979.

    • Search Google Scholar
    • Export Citation
  • Cowan, I. R., 1982: Regulation of water use in relation to carbon gain in higher plants. Encyclopedia of Plant Physiology, O. L. Lange et al., Eds., Springer-Verlag, 589–614.

  • Cowling, S. A., and Field C. B. , 2003: Environmental controls of leaf area production: Implications for vegetation and land surface modeling. Global Biogeochem. Cycles, 17, 1007, doi:10.1029/2002GB001915.

    • Search Google Scholar
    • Export Citation
  • Davidson, E., and Coauthors, 2011: Carbon inputs and water uptake in deep soils of an eastern Amazon forest. For. Sci., 57, 5158.

  • Decker, M., and Zeng X. , 2009: Impact of the modified Richards equation on global soil moisture simulation in the Community Land Model (CLM3.5). J. Adv. Model. Earth Syst.,1, 22 pp. [Available online at http://james.agu.org/index.php/JAMES/article/viewArticle/v1n5.]

  • Decker, M., Brunke M. A. , Wang Z. , Sakaguchi K. , Zeng X. , and Bosilovich M. , 2012: Evaluation of the reanalysis products from GSFC, NCEP, and ECMWF using flux tower observations. J. Climate, 25, 19161944.

    • Search Google Scholar
    • Export Citation
  • Eamus, D., and Froend R. , 2006: Groundwater-dependent ecosystems: The where, what and why of GDEs. Aust. J. Bot., 54, 9196.

  • Eberbach, P. L., and Burrows G. E. , 2006: The transpiration response by four topographically distributed Eucalyptus species, to rainfall occurring during drought in south eastern Australia. Physiol. Plant., 127, 483493.

    • Search Google Scholar
    • Export Citation
  • Evans, J. P., Pitman A. J. , and Cruz F. T. , 2011: Coupled atmospheric and land surface dynamics over southeast Australia: A review, analysis and identification of future research priorities. Int. J. Climatol., 31, 17581772.

    • Search Google Scholar
    • Export Citation
  • Fan, Y., and Miguez-Macho G. , 2010: Potential groundwater contribution to Amazon dry-season evapotranspiration. Hydrol. Earth Syst. Sci., 14, 20392056.

    • Search Google Scholar
    • Export Citation
  • Fan, Y., Miguez-Macho G. , Weaver C. P. , Walko R. , and Robock A. , 2007: Incorporating water table dynamics in climate modeling: 1. Water table observations and the equilibrium water table simulations. J. Geophys. Res., 112, D10125, doi:10.1029/2006JD008111.

    • Search Google Scholar
    • Export Citation
  • Findell, K. L., Knutson T. R. , and Milly P. C. D. , 2006: Weak simulated extratropical responses to complete tropical deforestation. J. Climate, 19, 28352850.

    • Search Google Scholar
    • Export Citation
  • Gent, P. R., and Coauthors, 2011: The Community Climate System Model version 4. J. Climate, 24, 49734991.

  • Gotangco Castillo, C. K., Levis S. , and Thornton P. , 2012: Evaluation of the new CNDV option of the Community Land Model: Effects of dynamic vegetation and interactive nitrogen on CLM4 means and variability. J. Climate, 25, 37023714.

    • Search Google Scholar
    • Export Citation
  • Guerschman, J. P., Hill M. J. , Renzullo L. J. , Barrett D. J. , Marks A. S. , and Botha E. J. , 2009: Estimating fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil in Australian tropical savanna region upscaling the EO-1 Hyperion and MODIS sensors. Remote Sens. Environ., 113, 928945.

    • Search Google Scholar
    • Export Citation
  • Gulden, L. E., Rosero E. , Yang Z.-L. , Rodell M. , Jackson C. S. , Niu G.-Y. , Yeh J.-F. P. , and Famiglietti J. , 2007: Improving land-surface model hydrology: Is an explicit aquifer model better than a deeper soil profile? Geophys. Res. Lett., 34, L09402, doi:10.1029/2007GL029804.

    • Search Google Scholar
    • Export Citation
  • Hong, S.-Y., and Kalnay E. , 2000: Role of sea surface temperature and soil-moisture feedback in the 1998 Oklahoma-Texas drought. Nature, 408, 842844.

    • Search Google Scholar
    • Export Citation
  • Huang, M. X. L., and Leng L. R. , 2008: A generalized subsurface flow parameterization considering subgrid spatial variability of recharge and topography. J. Hydrometeor., 9, 11511171.

    • Search Google Scholar
    • Export Citation
  • Jackson, R. B., Canadell J. , Ehleringer J. R. , Mooney H. A. , Sala O. E. , and Schulze E. D. , 1996: A global analysis of root distributions for terrestrial biomes. Oecologia, 108, 389411.

    • Search Google Scholar
    • Export Citation
  • Jones, D. A., Wang W. , and Fawcett R. , 2009: High-quality spatial climate data-sets for Australia. Aust. Meteor. Oceanogr. J., 58, 233248.

    • Search Google Scholar
    • Export Citation
  • Kleidon, A., and Heimann M. , 2000: Assessing the role of deep rooted vegetation in the climate system with model simulations: Mechanism, comparison to observations and implications for Amazonian deforestation. Climate Dyn., 16, 183199.

    • Search Google Scholar
    • Export Citation
  • Kollet, S. J., and Maxwell R. M. , 2008: Capturing the influence of groundwater dynamics on land surface processes using an integrated, distributed watershed model. Water Resour. Res., 44, W02402, doi:10.1029/2007WR006004.

    • Search Google Scholar
    • Export Citation
  • Landerer, F. W., and Swenson S. C. , 2012: Accuracy of scaled GRACE terrestrial water storage estimates. Water Resour. Res., 48, W04531, doi:10.1029/2011WR011453.

    • Search Google Scholar
    • Export Citation
  • Landsberg, J. J., and Hingston F. J. , 1996: Evaluating a simple radiation dry matter conversion model using data from Eucalyptus globulus plantations in Western Australia. Tree Physiol., 16, 801808.

    • Search Google Scholar
    • Export Citation
  • Lawrence, D. M., Oleson K. W. , Flanner M. G. , Fletcher C. G. , Lawrence P. J. , Levis S. , Swenson S. C. , and Bonan G. B. , 2012: The CCSM4 land simulation, 1850– 2005: Assessment of surface climate and new capabilities. J. Climate, 25, 22402260.

    • Search Google Scholar
    • Export Citation
  • Leblanc, M. J., Tregoning P. , Ramillien G. , Tweed S. O. , and Fakes A. , 2009: Basin-scale, integrated observations of the early 21st century multiyear drought in southeast Australia. Water Resour. Res., 45, W04408, doi:10.1029/2008WR007333.

    • Search Google Scholar
    • Export Citation
  • Lenton, T. M., Held H. , Kriegler E. , Hall J. W. , Lucht W. , Rahmstorf S. , and Schellnhuber H. J. , 2008: Tipping elements in the Earth’s climate system. Proc. Natl. Acad. Sci. USA, 105, 17861793, doi:10.1073/pnas.0705414105.

    • Search Google Scholar
    • Export Citation
  • Leung, L. R., Huang M. , Qian Y. , and Liang X. , 2011: Climate–soil–vegetation control on groundwater table dynamics and its feedbacks in a climate model. Climate Dyn., 36, 5781.

    • Search Google Scholar
    • Export Citation
  • Li, H., Huang M. , Wigmosta M. S. , Ke Y. , Coleman A. M. , Leung L. R. , Wang A. , and Ricciuto D. M. , 2011: Evaluating runoff simulations from the Community Land Model 4.0 using observations from flux towers and a mountainous watershed. J. Geophys. Res., 116, D24120, doi:10.1029/2011JD016276.

    • Search Google Scholar
    • Export Citation
  • Liang, X., Xie Z. , and Huang M. , 2003: A new parameterization for surface and groundwater interactions and its impact on water budgets with the variable infiltration capacity (VIC) land surface model. J. Geophys. Res., 108, 8613, doi:10.1029/2002JD003090.

    • Search Google Scholar
    • Export Citation
  • Lo, M.-H., Yeh P. J.-F. , and Famigletti J. S. , 2008: Constraining water table depth simulations in a land surface model using estimated baseflow. Adv. Water Resour., 31, 15521564.

    • Search Google Scholar
    • Export Citation
  • Lo, M.-H., Famigletti J. S. , Yeh P. J.-F. , and Syed T. H. , 2010: Improving parameter estimation and water table depth simulation in a land surface model using GRACE water storage and estimated baseflow data. Water Resour. Res., 46, W05517, doi:10.1029/2009WR007855.

    • Search Google Scholar
    • Export Citation
  • Maxwell, R. M., Chow F. K. , and Kollet S. J. , 2007: The groundwater–land-surface–atmosphere connection: Soil moisture effects on the atmospheric boundary layer in fully-coupled simulations. Adv. Water Resour., 30, 24472466.

    • Search Google Scholar
    • Export Citation
  • Maxwell, R. M., Lundquist J. K. , Mirocha J. D. , Smith S. G. , Woodward C. S. , and Tompson A. F. B. , 2011: Development of a coupled groundwater–atmospheric model. Mon. Wea. Rev., 139, 96116.

    • Search Google Scholar
    • Export Citation
  • McMurtrie, R. E., Leuning R. , Thompson W. A. , and Wheeler A. M. , 1992: A model of canopy photosynthesis and water use incorporating a mechanistic formulation of leaf CO2 exchange. For. Ecol. Manage., 52, 261278.

    • Search Google Scholar
    • Export Citation
  • Miguez-Macho, G., Fan Y. , Waever C. P. , Walko R. , and Robock A. , 2007: Incorporating water table dynamics in climate modeling. 2: Formulation, validation, and soil moisture simulation. J. Geophys. Res., 112, D13108, doi:10.1029/2006JD008112.

    • Search Google Scholar
    • Export Citation
  • Molders, N., and Ruhaak W. , 2002: On the impact of explicitly predicted runoff on the simulated atmospheric response to small-scale land-use change—An integrated modeling approach. Atmos. Res., 63, 338.

    • Search Google Scholar
    • Export Citation
  • Mu, Q., Heinsch F. A. , Zhao M. , and Running S. W. , 2007: Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sens. Environ., 111, 519536.

    • Search Google Scholar
    • Export Citation
  • Nepstad, D. C., and Coauthors, 1994: The role of deep roots in the hydrological and carbon cycles of Amazonian forests and pastures. Nature, 372, 666669.

    • Search Google Scholar
    • Export Citation
  • Ngo-Duc, T., Laval K. , Ramillien G. , Polcher J. , and Cazenave A. , 2007: Validation of the land water storage simulated by Organising Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE) with Gravity Recovery and Climate Experiment (GRACE) data. Water Resour. Res., 43, W04427, doi:10.1029/2006WR004941.

    • Search Google Scholar
    • Export Citation
  • Niu, G.-Y., Yang Z.-L. , Dickinson R. E. , Gulden L. E. , and Su H. , 2007: Development of a simple groundwater model for use in climate models and evaluation with Gravity Recovery and Climate Experiment data. J. Geophys. Res., 112, D07103, doi:10.1029/2006JD007522.

    • Search Google Scholar
    • Export Citation
  • O’Grady, A. P., Eamus D. , and Hutley L. B. , 1999: Transpiration increases during the dry season: Patterns of tree water use in eucalypt open-forests of northern Australia. Tree Physiol., 19, 591597.

    • Search Google Scholar
    • Export Citation
  • O’Grady, A. P., Eamus D. , Cook P. G. , and Lamontagne S. , 2006: Groundwater use by riparian vegetation in the wet–dry tropics of northern Australia. Aust. J. Bot., 54, 145154, doi:10.1071/BT04164.

    • Search Google Scholar
    • Export Citation
  • Oleson, K. W., and Coauthors, 2008: Improvements to the Community Land Model and their impact on the hydrological cycle. J. Geophys. Res., 113, G01021, doi:10.1029/2007JG000563.

    • Search Google Scholar
    • Export Citation
  • Oleson, K. W., and Coauthors, 2010: Technical description of version 4.0 of the Community Land Model (CLM). NCAR Tech. Note NCAR/TN-478+STR, National Center for Atmospheric Research, Boulder, CO, 257 pp.

  • Pan, M., and Coauthors, 2003: Snow process modeling in the North American Land Data Assimilation System (NLDAS): 2. Evaluation of model simulated snow water equivalent. J. Geophys. Res., 108, 8850, doi:10.1029/2003JD003994.

    • Search Google Scholar
    • Export Citation
  • Pielke, R. A., Sr., and Coauthors, 2011: Land use/land cover changes and climate: Modeling analysis and observational evidence. Wiley Interdiscip. Rev.: Climatic Change, 2, 828850, doi:10.1002/wcc.144.

    • Search Google Scholar
    • Export Citation
  • Pokhrel, Y., Hanasaki N. , Koirala S. , Cho J. , Yeh P. J.-F. , Kim H. , Kanae S. , and Oki T. , 2012: Incorporating anthropogenic water regulation modules into a land surface model. J. Hydrometeor., 13, 255269.

    • Search Google Scholar
    • Export Citation
  • Qian, T., Dai A. , Trenberth K. E. , and Oleson K. W. , 2006: Simulation of global land surface conditions from 1948–2004. Part I: Forcing data and evaluation. J. Hydrometeor., 7, 953975.

    • Search Google Scholar
    • Export Citation
  • Reichle, R. H., Koster R. D. , De Lannoy G. J. M. , Forman B. A. , Liu Q. , Mahanama S. P. P. , and Touré A. , 2011: Assessment and enhancement of MERRA land surface hydrology estimates. J. Climate, 24, 63226338.

    • Search Google Scholar
    • Export Citation
  • Rice, K. J., Matzner S. L. , Byer W. , and Brown J. R. , 2004: Patterns of tree dieback in Queensland, Australia: The importance of drought stress and the role of resistance to cavitation. Oecologia, 139, 190198.

    • Search Google Scholar
    • Export Citation
  • Rienecker, M., and Coauthors, 2011: MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications. J. Climate, 24, 36243648.

    • Search Google Scholar
    • Export Citation
  • Rihani, J., Maxwell R. M. , and Chow F. K. , 2010: Coupling groundwater and land-surface processes: Idealized simulations to identify effects of terrain and subsurface heterogeneity on land surface energy fluxes. Water Resour. Res., 46, W12523, doi:10.1029/2010WR009111.

    • Search Google Scholar
    • Export Citation
  • Robock, A., and Coauthors, 2003: Evaluation of the North American Land Data Assimilation System over the southern Great Plains during the warm season. J. Geophys. Res., 108, 8846, doi:10.1029/2002JD003245.

    • Search Google Scholar
    • Export Citation
  • Rosero, E., Yang Z. L. , Gulden L. E. , Niu G. Y. , and Gochis D. J. , 2009: Evaluating enhanced hydrological representations in Noah LSM over transition zones: Implications for model development. J. Hydrometeor., 10, 600622.

    • Search Google Scholar
    • Export Citation
  • Sacks, W. J., Cook B. I. , Buenning N. , Levis S. , and Helkowski J. H. , 2009: Effects of global irrigation on the near-surface climate. Climate Dyn., 33, 159175, doi:10.1007/s00382-008-0445-z.

    • Search Google Scholar
    • Export Citation
  • Sakaguchi, K., Zeng X. , Christoffersen B. J. , Restrepo-Coupe N. , Saleska S. R. , and Brando P. M. , 2011: Natural and drought scenarios in an east central Amazon forest: Fidelity of the Community Land Model 3.5 with three biogeochemical models. J. Geophys. Res., 116, G01029, doi:10.1029/2010JG001477.

    • Search Google Scholar
    • Export Citation
  • Schenk, H. J., and Jackson R. B. , 2002: The global biogeography of roots. Ecol. Monogr., 72, 311328.

  • Seuffert, G., Gross P. , and Simmer C. , 2002: The influence of hydrologic modeling on the predicted local weather: Two-way coupling of a mesoscale weather prediction model and a land surface hydrologic model. J. Hydrometeor., 3, 505523.

    • Search Google Scholar
    • Export Citation
  • Sinclair, T. R., and Horie T. , 1989: Leaf nitrogen, photosynthesis, and crop radiation use efficiency: A review. Crop Sci., 29, 9098.

    • Search Google Scholar
    • Export Citation
  • Stöckli, R., and Coauthors, 2008: The use of Fluxnet in the Community Land Model development. J. Geophys. Res., 113, G01025, doi:10.1029/2007JG000562.

    • Search Google Scholar
    • Export Citation
  • Szilagyi, J., Rundquist D. C. , and Gosseli D. C. , 1998: NDVI relationship to monthly evaporation. Geophys. Res. Lett., 25, 17531756.

  • Tapley, B. D., Bettadpur S. , Watkins M. , and Reigber C. , 2004: The Gravity Recovery and Climate Experiment: Mission overview and early results. Geophys. Res. Lett., 31, L09607, doi:10.1029/2004GL019920.

    • Search Google Scholar
    • Export Citation
  • Ummenhofer, C. C., England M. H. , McIntosh P. C. , Meyers G. A. , Pook M. J. , Risbey J. S. , Gupta A. S. , and Taschetto A. S. , 2009: What causes southeast Australia’s worst droughts? Geophys. Res. Lett., 36, L04706, doi:10.1029/2008GL036801.

    • Search Google Scholar
    • Export Citation
  • van Dijk, A. I. J. M., Renzullo L. J. , and Rodell M. , 2011: Use of Gravity Recovery and Climate Experiment terrestrial water storage retrievals to evaluate model estimates by the Australian water resources assessment system. Water Resour. Res., 47, W11524, doi:10.1029/2011WR010714.

    • Search Google Scholar
    • Export Citation
  • Williams, J. L., III, and Maxwell R. M. , 2011: Propagating subsurface uncertainty to the atmosphere using fully-coupled, stochastic simulations. J. Hydrometeor., 12, 690701.

    • Search Google Scholar
    • Export Citation
  • Yang, X., Smith P. L. , Yub T. , and Gaob H. , 2011: Estimating evapotranspiration from terrestrial groundwater-dependent ecosystems using Landsat images. Int. J. Digital Earth, 4, 154170, doi:10.1080/17538947.2010.491561.

    • Search Google Scholar
    • Export Citation
  • Yeh, P. J.-F., and Eltahir E. A. B. , 2005: Representation of water table dynamics in a land surface scheme. Part I: Model development. J. Climate, 18, 18611880.

    • Search Google Scholar
    • Export Citation
  • Yeh, P. J.-F., and Famiglietti J. , 2009: Regional groundwater evapotranspiration in Illinois. J. Hydrometeor., 10, 464478.

  • Yeh, P. J.-F., Swenson S. C. , Famiglietti J. S. , and Rodell M. , 2006: Remote sensing of groundwater storage changes in Illinois using the Gravity Recovery and Climate Experiment (GRACE). Water Resour. Res., 42, W12203, doi:10.1029/2006WR005374.

    • Search Google Scholar
    • Export Citation
  • Yi, Y., Kimball J. S. , Jones L. A. , Reichle R. H. , and McDonald K. C. , 2011: Evaluation of MERRA land surface estimates in preparation for the Soil Moisture Active Passive Mission. J. Climate, 24, 37973816.

    • Search Google Scholar
    • Export Citation
  • York, J. P., Person M. , Gutowski W. J. , and Winter T. C. , 2002: Putting aquifers into atmospheric simulation models: An example from the Mill Creek Watershed, northeastern Kansas. Adv. Water Resour., 25, 221238.

    • Search Google Scholar
    • Export Citation
  • Yuan, H., Dai Y. , Xiao Z. , Ji D. , and Shangguan W. , 2011: Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling. Remote Sens. Environ., 115, 11711187.

    • Search Google Scholar
    • Export Citation
  • Zeng, X., and Decker M. , 2009: Improving the numerical solution of soil moisture-based Richards equation for land models with a deep or shallow water table. J. Hydrometeor., 10, 308319.

    • Search Google Scholar
    • Export Citation
  • Zhang, K., Kimball J. S. , Nemani R. R. , and Running S. W. , 2010: A continuous satellite-derived global record of land surface evapotranspiration from 1983 to 2006. Water Resour. Res., 46, W09522, doi:10.1029/2009WR008800.

    • Search Google Scholar
    • Export Citation
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