Incorporating root hydraulic redistribution in CLM4.5: Effects on predicted site and global evapotranspiration, soil moisture, and water storage

Journal of Advances in Modeling Earth Systems

Volumn 7, Issue 4, 2015, Pages 1828-1848

  Tang, Jinyun ^a   Riley, William J ^a   Niu, Jie ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

evapotranspiration; root hydraulic redistribution; total water storage

Indexed keywords

DIGITAL STORAGE; EVAPOTRANSPIRATION; FORECASTING; FORESTRY; GROUNDWATER; MOISTURE; SENSITIVITY ANALYSIS; SOIL MOISTURE; SOILS; WATER SUPPLY;

COMMUNITY LAND MODELS; GRAVITY RECOVERY AND CLIMATE EXPERIMENTS; METEOROLOGICAL FORCING; NUMERICAL IMPLEMENTATION; PEDO-TRANSFER FUNCTIONS; ROOT HYDRAULIC REDISTRIBUTION; TERRESTRIAL WATER STORAGE; WATER STORAGE;

SOIL SURVEYS;

EVAPOTRANSPIRATION; GLOBAL PERSPECTIVE; GRACE; NUMERICAL MODEL; PEDOTRANSFER FUNCTION; SOIL MOISTURE; WATER STORAGE; WATER TABLE;

AMAZONIA; BLODGETT FOREST; BRAZIL; CALIFORNIA; PARA [BRAZIL]; SANTAREM [PARA]; UNITED STATES;

EID: 84959545923     PISSN: None     EISSN: 19422466     Source Type: Journal    
DOI: 10.1002/2015MS000484     Document Type: Article

References (41)

1. Amenu, G. G., and, P. Kumar, (2008), A model for hydraulic redistribution incorporating coupled soil-root moisture transport, Hydrol. Earth Syst. Sci., 12 (1), 55-74.
2. Bleby, T. M., A. J. Mcelrone, and, R. B. Jackson, (2010), Water uptake and hydraulic redistribution across large woody root systems to 20 m depth, Plant Cell Environ., 33 (12), 2132-2148, doi: 10.1111/J.1365-3040.2010.02212.X.
3. Caldwell, M. M., T. E. Dawson, and, J. H. Richards, (1998), Hydraulic lift: Consequences of water efflux from the roots of plants, Oecologia, 113 (2), 151-161.
4. Chauvel, A., M. Grimaldi, and, D. Tessier, (1991), Changes in soil pore-space distribution following deforestation and revegetation-An example from the Central Amazon Basin, Brazil, For. Ecol. Manage., 38 (3-4), 259-271.
5. Clapp, R. B., and, G. M. Hornberger, (1978), empirical equations for some soil hydraulic properties, Water Resour. Res., 14 (4), 601-604.
6. Collins, W. D., J.J. Hack, B. A. Boville, P. J. Rasch, D. L. Williamson, J. T. Kiehl, B. Briegleb, B., and, J. R. Mc Caa, (2002), Description of the NCAR Community Atmospheric Model (CAM2), Natl. Cent. For Atmos. Res., Boulder, Colo.
7. Cosby, B. J., G. M. Hornberger, R. B. Clapp, and, T. R. Ginn, (1984), A statistical exploration of the relationships of soil-moisture characteristics to the physical-properties of soils, Water Resour. Res., 20 (6), 682-690.
8. Delire, C., J. C. Calvet, J. Noilhan, I. Wright, A. Manzi, and, C. Nobre, (1997), Physical properties of Amazonian soils: A modeling study using the Anglo-Brazilian Amazonian Climate Observation Study data, J. Geophys. Res., 102 (D25), 30,119-30,133.
9. de Paiva, R. C. D., D. C. Buarque, W. Collischonn, M. P. Bonnet, F. Frappart, S. Calmant, and, C. A. B. Mendes, (2013), Large-scale hydrologic and hydrodynamic modeling of the Amazon River basin, Water Resour. Res., 49, 1226-1243, doi: 10.1002/wrcr.20067.
10. Deshpande, M. D., and, D. P. Giddens, (1977), Direct solution of 2 linear-systems of equations forming coupled tridiagonal-type matrices, Int. J. Numer. Methods Eng., 11 (6), 1049-1052.
11. Fisher, J. B., T. A. DeBiase, Y. Qi, M. Xu, and, A. H. Goldstein, (2005), Evapotranspiration models compared on a Sierra Nevada forest ecosystem, Environ. Modell. Software, 20 (6), 783-796.
12. Haghighi, E., E. Shahraeeni, P. Lehmann, and, D. Or, (2013), Evaporation rates across a convective air boundary layer are dominated by diffusion, Water Resour. Res., 49, 1602-1610, doi: 10.1002/wrcr.20166.
13. Hultine, K. R., W. L. Cable, S. S. O. Burgess, and, D. G. Williams, (2003), Hydraulic redistribution by deep roots of a Chihuahuan Desert phreatophyte, Tree Physiol., 23 (5), 353-360.
14. Jung, M., et al., (2011), Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations, J. Geophys. Res., 116, G00J07, doi: 10.1029/2010JG001566.
15. Kitajima, K., M. F. Allen, and, M. L. Goulden, (2013), Contribution of hydraulically lifted deep moisture to the water budget in a Southern California mixed forest, J. Geophys. Res. Biogeosci., 118, 1561-1572, doi: 10.1002/2012JG002255.
16. Koster, R. D., Z. C. Guo, R. Q. Yang, P. A. Dirmeyer, K. Mitchell, and, M. J. Puma, (2009), On the nature of soil moisture in Land surface models, J. Clim., 22 (16), 4322-4335, doi: 10.1175/2009JCLI2832.1.
17. Landerer, F. W., and, S. C. Swenson, (2012), Accuracy of scaled GRACE terrestrial water storage estimates, Water Resour. Res., 48, W04531, doi: 10.1029/2011WR011453.
18. Lawrence, P. J., et al., (2012), Simulating the biogeochemical and biogeophysical impacts of transient land cover change and wood harvest in the Community Climate System Model (CCSM4) from 1850 to 2100, J. Clim., 25 (9), 3071-3095, doi: 10.1175/JCLI-D-11-00256.1.
19. Lee, J. E., R. S. Oliveira, T. E. Dawson, and, I. Fung, (2005), Root functioning modifies seasonal climate, Proc. Natl. Acad. Sci. U. S. A., 102 (49), 17576-17581.
20. Luo, X. Y., X. Liang, and, H. R. McCarthy, (2013), VIC plus for water-limited conditions: A study of biological and hydrological processes and their interactions in soil-plant-atmosphere continuum, Water Resour. Res., 49, 7711-7732, doi: 10.1002/2012WR012851.
21. Mizukami, N., M. P. Clark, A. G. Slater, L. D. Brekke, M. M. Elsner, J. R. Arnold, and, S. Gangopadhyay, (2014), Hydrologic implications of different large-scale meteorological model forcing datasets in mountainous regions, J. Hydrometeorol., 15 (1), 474-488.
22. Neumann, R. B., and, Z. G. Cardon, (2012), The magnitude of hydraulic redistribution by plant roots: A review and synthesis of empirical and modeling studies, New Phytol., 194 (2), 337-352, doi: 10.1111/J.1469-8137.2012.04088.X.
23. Noilhan, J., and, P. Lacarrere, (1995), Gcm grid-scale evaporation from mesoscale modeling, J. Clim., 8 (2), 206-223.
24. Oki, T., and, S. Kanae, (2006), Global hydrological cycles and world water resources, Science, 313 (5790), 1068-1072.
25. Oleson, K. W., Y. Dai, G. Bonan, M. Bosilovich, P. Dirmeyer, F. Hoffman, P. Houser, S. Levis, G.-Y. Niu, and, P. Thornton, (2004), Technical description of the Community Land Model (CLM), Natl. Cent. Atmos. Res. Tech. Note, NCAR/TN-461 + STR, Natl. Cent. For Atmos. Res., Boulder, Colo.
26. Oleson, K. W., et al., (2013), Technical description of version 4.5 of the Community Land Model (CLM). Natl. Cent. Atmos. Res. Tech. Note NCAR/TN-503+STR, 422 pp., Natl. Cent. For Atmos. Res., Boulder, Colo., doi: 10.5065/D6RR1W7M.
27. Oliveira, R. S., T. E. Dawson, S. S. O. Burgess, and, D. C. Nepstad, (2005), Hydraulic redistribution in three Amazonian trees, Oecologia, 145 (3), 354-363, doi: 10.1007/S00442-005-0108-2.
28. Piao, S. L., et al., (2012), The carbon budget of terrestrial ecosystems in East Asia over the last two decades, Biogeosciences, 9(9), 3571-3586.
29. Post, W. M., and, L. Zobler,. 2000. Global Soil Types, 0.5-Degree Grid (Modified Zobler), Oak Ridge Natl. Lab. Distrib. Active Arch. Cent., Oak Ridge, Tenn. Doi: 10.3334/ORNLDAAC/540. [Available at http://www.daac.ornl.gov.]
30. Qian, T. T., A. Dai, K. E. Trenberth, and, K. W. Oleson, (2006), Simulation of global land surface conditions from 1948 to 2004. Part I: Forcing data and evaluations, J. Hydrometeorol., 7 (5), 953-975.
31. Ryel, R. J., M. M. Caldwell, C. K. Yoder, D. Or, and, A. J. Leffler, (2002), Hydraulic redistribution in a stand of Artemisia tridentata: Evaluation of benefits to transpiration assessed with a simulation model, Oecologia, 130 (2), 173-184.
32. Shukla, J., and, Y. Mintz, (1982), Influence of land-surface evapo-transpiration on the earths climate, Science, 215 (4539), 1498-1501.
33. Silver, W. L., J. Neff, M. McGroddy, E. Veldkamp, M. Keller, and, R. Cosme, (2000), Effects of soil texture on belowground carbon and nutrient storage in a lowland Amazonian forest ecosystem, Ecosystems, 3 (2), 193-209.
34. Strang, G., (1968), On Construction and comparison of difference schemes, SIAM J. Numer. Anal., 5 (3), 506-517.
35. Swenson, S. C., and, D. M. Lawrence, (2014), Assessing a dry surface layer-based soil resistance parameterization for the Community Land Model using GRACE and FLUXNET-MTE data, J. Geophys. Res. Atmos., 119, 10,299-10,312, doi: 10.1002/2014JD022314.
36. Tang, J. Y., and, W. J. Riley, (2013a), Impacts of a new bare-soil evaporation formulation on site, regional, and global surface energy and water budgets in CLM4, J. Adv. Model Earth Syst., 5, 558-571, doi: 10.1002/jame.20034.
37. Tang, J. Y., and, W. J. Riley, (2013b), A new top boundary condition for modeling surface diffusive exchange of a generic volatile tracer: Theoretical analysis and application to soil evaporation, Hydrol. Earth Syst. Sci., 17 (2), 873-893.
38. Tang, J. Y., W. J. Riley, C. D. Koven, and, Z. M. Subin, (2013), CLM4-BeTR, a generic biogeochemical transport and reaction module for CLM4: Model development, evaluation, and application, Geosci. Model Dev., 6 (1), 127-140.
39. Warren, J. M., P. J. Hanson, C. M. Iversen, J. Kumar, A. P. Walker, and, S. D. Wullschleger, (2015), Root structural and functional dynamics in terrestrial biosphere models-evaluation and recommendations, New Phytol., 205 (1), 59-78, doi: 10.1111/nph.13034.
40. Yan, B. Y., and, R. E. Dickinson, (2014), Modeling hydraulic redistribution and ecosystem response to droughts over the Amazon basin using Community Land Model 4.0 (CLM4), J. Geophys. Res. Biogeosci., 119, 2130-2143, doi: 10.1002/2014JG002694.
41. Zeng, X. B., (2001), Global vegetation root distribution for land modeling, J. Hydrometeorol., 2 (5), 525-530.