These are some recent publications related to the Hydrological observations and predictions programme
2016
Yang, J., McMillan, H., Zammit, C. 2017. Modelling Surface water-groundwater interaction in New Zealand: Model development and application. Hydrological Processes, 31:925–934, DOI 10.1002/hyp.11075.
Srinivasan, M.S., Elley, G. 2017. Just-in-case to justified irrigation: Improving water use efficiency in irrigated dairy farms. In: Science and policy: nutrient management challenges for the next generation. (Eds L. D. Currie and M. J. Hedley). http://flrc.massey.ac.nz/publications.html
Fielke, S.J., Srinivasan, M.S. 2017. Co-innovation to increase community resilience: Influencing irrigation efficiency in the Waimakariri Irrigation Scheme. Sustainability Science DOI 10.1007/s11625-017-0432-6
Graham, S.L., Kochendorfer, J., McMillan, A.M.S., Duncan, M.J., Srinivasan, M.S., Hertzog, G. 2016. Effects of agricultural management on measurements, prediction, and partitioning of evapotranspiration in irrigated grasslands. Agricultural Water Management, 177:340-347.
Singh, S.K., Ibbitt, R., Srinivasan, M.S., Shankar, U. 2017. Inter-Comparison of Experimental Catchment Data and Hydrological Modelling. Journal of Hydrology, 550: 1-11. doi.org/10.1016/j.jhydrol.2017.04.049
2014
McMillan, H., Srinivasan, M.S. (2014) ‘Controls on variability in soil moisture and groundwater in a headwater catchment’. Hydrol. Earth Syst. Sci., 19,1767-1786 (https://doi.org/10.5194/hess-19-1767-2015)
Zammit, C., Rutherford, J., Harper, A., Willsman, A. 2015. Intercomparison of mixed precipitation measured by shielded and unshielded weighing bucket raingauge in an alpine setting. CIMO Conference Proceeding, July 2015- St Petersburg-Russia\July 2014
2013
McMillan, H., Guegen, M., Grimon, E., Woods, R., Clark, M., Rupp, D. 2014. Spatial variability of processes and model structure diagnostics in a 50 km2 catchment. Hydrological Processes 28(18): 4896–4913 DOI: 10.1002/hyp.9988
2012
McMillan, H., Tetzlaff, D., Clark, M., Soulsby, C. 2012. Do time variable tracers aid the evaluation of hydrological model structure? A multi-model approach. Water Resources Research. 48, W05501
Schaefli, B., van der Ent, R.J., Woods, R.A., Savenije, H.H.G. 2012. An analytical model for soil-atmosphere feedback. Hydrol. Earth Syst. Sci. Discuss. 8: 8315-8354. http://dx.doi.org/doi:10.5194/hessd-8-8315-2011
2011
Srinivasan, M.S., Schmidt, J., Poyck, S., Hreinsson, E.Ö. 2011. Irrigation Reliability Under Climate Change Scenarios: A Modeling Investigation in a River-Based Irrigation Scheme in New Zealand. Journal of the American Water Resources Association 47(6): 1261-1274.
McMillan, H., Clark, M.P., Bowden, W.B., Duncan, M.J., Woods, R.A. 2011. Hydrological field data from a modeller's perspective: Part 1. Diagnostic tests for model structure. Hydrological Processes 25: 511-522.
Clark, M.P., McMillan, H., Collins, D., Kavetski, D., Woods, R.A. 2011. Hydrological field data from a modeller's perspective: Part 2. Process-based evaluation of model hypotheses. Hydrological Processes 25: 523-543.
Clark, M.P., Hendrikx, J., Slater, A.G., Kavetski, D., Anderson, B., Cullen, N., Kerr, T., Hreinsson, E.Ö., Woods, R.A. 2011. Representing spatial variability of snow water equivalent in hydrologic and land-surface models: A review. Water Resources Research 47(W07539): doi:10.1029/2011WR010745. http://dx.doi.org/doi:10.1029/2011WR010745