[17] Decker, M., S. Ma, and A.J. Pitman (2017) Local land--atmosphere feedbacks limit irrigation demand, Environmental Research Letters, https://doi.org/10.1088/1748-9326/aa65a6.
[16] Decker, M., D. Or., A.J. Pitman, and A.M. Ukkola (2017) New turbulent resistance parameterization for soil evaporation based on a pore scale model: impact on surface fluxes in CABLE, Journal of Advances in Modeling Earth Systems, 9, doi:10.1002/2016MS000832.
[15] Ukkola, A., M.G. De Kauwe, A.J. Pitman, M.J. Best, G. Abramowitz, V. Haverd, M. Decker, N Haughton, (2016) Land surface models systematically overestimate the intensity, duration and magnitude of seasonal-scale evaporative droughts, Environmental Research Letters, 11 104012.
[14] Ukkola, A., A.J. Pitman, M. Decker, M.G. De Kauwe, G. Abramowitz, J. Kala, and Y.P. Wang, (2016) Modelling evapotranspiration during precipitation deficits: identifying critical processes in a land surface model, Hydrology and Earth System Science, 20, 2403-2419.
[13] Decker, M., A.J. Pitman, and J. Evans, (2015) Diagnosing the seasonal land--atmosphere correspondence over northern Australia: dependence on soil moisture state and correspondence strength definition, Hydrology and Earth System Science, 19, 3433-3447, doi:10.5194/hess-19-3433-2015.
[12] Decker, M., (2015) Development and evaluation of a new soil moisture and runoff parameterization for the CABLE LSM including subgrid--scale processes, Journal of Advances in Modeling Earth Systems, 7, 1788-1809, doi:10.1002/2015MS000507.
[11] Kala, J., M. Decker, J.F. Exbrayat, A.J. Pitman, C. Carouge, J. Evans, and G. Abramowitz (2014) Influence of leaf area index prescriptions on simulations of heat, moisture, and carbon fluxes, Journal of Hydrometeorology, 15, 448-503.
[10] Decker, M., A.J. Pitman, and J. Evans, (2014) Applying scaled vegetation greenness metrics to constrain simulated transpiration anomalies: a study over Australia, Journal of Hydrometeorology, 15, 1607--1623, doi:10.1175/JHM--D--13--070.1.
[9] Kala, J., J.P. Evans, A.J. Pitman, C.B. Schaaf, M. Decker, C. Carouge, D. Mocko, and Q. Sun, (2014), Implementation of a soil albedo scheme in the CABLEv1.4b land surface model and evaluation against MODIS estimates over Australia, Geoscientific Model Development, 7, 2121-2140, doi:10.5194/gmd--7--2121--2014.
[8] Decker, M., A.J. Pitman, and J. Evans, (2013) Groundwater constraints on simulated transpiration variability over Southeastern Australian forests, Journal of Hydrometeorology, 14, 534--559, doi:10.1175/JHM--D--12--058.1.
[7] Decker, M., M.A. Brunke, K. Sakaguchi, X. Zeng, and M. Bisolovich, (2012), Evaluation of the reanalysis products from GSFC, NCEP, and ECMWF using flux tower observations, Journal of Climate, 25, 1916--1944, doi:10.1175/JCLI--D--11--00004.1.
[6] Wang, Z., X. Zeng, M. Decker, (2010), Improving snow processes in the Noah land model, Journal of Geophysical Research, 115, 2156--2202, doi::10.1029/2009JD013761.
[5] Zeng, X., and M. Decker, (2010), Reply to Improving the Numerical Solution of Soil Moisture-Based Richards Equation for Land Models with a Deep or Shallow Water Table, Journal of Hydrometeorology, 11, 1051--1054, DOI: 10.1175/2010JHM1199.1.
[4] Oleson, K., et al., M. Decker, (2010), Technical Description of version 4.0 of the Community Land Model (CLM), NCAR/TN--478+STR, NCAR TECHNICAL NOTE.
[3] Decker, M. and X. Zeng, (2009), Impact of modified Richards equation on global soil moisture simulation in the Community Land Model (CLM3.5), Journal of Advances in Modeling Earth Systems, 1, 5, 22 pp, doi:10.3894/JAMES.2009.1.5.
[2] Zeng, X., and M. Decker., (2009), Improving the numerical solution of soil moisture-based Richards equation for land models with a deep or shallow water table, Journal of Hydrometeorology, 10, 308--319, doi:10.1175/2008JHM1011.1.
[1] Decker, M., and X. Zeng, (2006), An empirical formulation of soil ice fraction based on in situ observations, Geophysical Research Letters, 33, L05402, doi:10.1029/2005GL024914.
In Review
[19] Tangdamrongsub, N., S. Han, and M. Decker (2018)On the use of GRACE intersatellite tracking data for improved estimation of soil moisture and groundwater in Australia, Hydrology and Earth System Science, doi:10.5194/hess-2017-318,in review.
[18] Ukkola, A., A.J. Pitman, M.G. De Kauwe, G. Abramowitz, N. Herger, J.P. Evans,, and M. Decker (2018) Evaluating CMIP5 model agreement for multiple drought metrics, Journal of Hydrometeorology, in review.
In Progress
[22] Decker, M., A. Ahmed, and A.J. Pitman (2018) Quantifying the benefits and transferability of optimized canopy and
soil parameters in CABLE, Journbal undecided.
[21] Tangdamrongsub, N., S. Han, and M. Decker, et al. (2018) Comparison of estimated soil moisture and groundwater from
combining WGHM, CABLE, PCR-GLOBWB, W3 with GRACE intersatellite tracking data, Journal of Remote Sensing, Special Issue: Remote Sensing and Groundwater
[20] Decker, M., X. Zubin, and P.J. Ross (2018) Comparing numerical solutions to Richards Equation for land surface modeling: Adequate accuracy for a conceptual model, To be submitted to Journal of Advances in Modeling Earth Systems.