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Biography

Dr. Shailesh Kumar Singh

National Institute of Water and Atmospheric Research, Christchurch, New Zealand,

Senior Scientist

Email: Shailesh.Singh@niwa.co.nz

Research fields:

· Climate Change

· Earth System Modelling

· Environmental Science

· Geographic Information System

· Geostatistics

· Soil Science

Qualifications

2010 Ph.D, University of Stuttgart, Germany, Civil Engineering (Hydrology)

2007 M.Tech, Indian Institute of Technology, Madras, India, Civil Engineering

2005 B.Tech Kerala Agricultural University, Kerala, India, Agricultural Engineering

Publications

  1. Dehai Liaoa, Jun Niua, Shaozhong Kanga, Singh S. K., Taisheng Du (2020) Effects of elevated CO2 on the evapotranspiration over the agricultural land in Northwest China, Journal of Hydrology, in Press, https://doi.org/10.1016/j.jhydrol.2020.125858
  2. Singh S. K.,George A Gri_ths, Hoa X Pham,(2020) Meteorological drought in Northland, New Zealand: a regional and local analysis using copulas, Journal of hydrology (NZ) (In Press)
  3. Han, Qiong; Liu, Qin; Wang, Tiejun; Wang, Lichun; Di, Chongli; Chen, Xi; Smettem, Keith;Singh S. K.,(2020) Diagnosis of environmental controls on daily actual evapotranspiration across a global ux tower network: the roles of water and energy, Environ. Res. Lett, in Press, doi.org/10.1088/1748-9326/abcc8c
  4. Jinyu Hui, Yiping Wu, Fubo Zhao, Xiaohui Lei , Pengcheng Sun , Singh S. K. , Weihong Liao , Linjing Qiu , Jiguang Li (2020) Parameter optimization for uncertainty reduction and simulation improvement of hydrological modeling, Remote Sensing, 12(24), 4069, doi.org/10.3390/rs12244069.
  5. Alejandro Chamorro, Lutz Breuer, Singh S. K., Tobias Houska (2020) Projection of Droughts as Multivariate Phenomenon in the Rhine River, Water 12(8),2288, doi.org/10.3390/w12082288.
  6. Singh S. K., Markus Pahlow, Julien Augas, Scott L. Graham (2020). Methods for regional calibration-a case study using the TopNet hydrological model for the Bay of Plenty region, New Zealand, Australian Journal ofWater Resources,1-14,doi.org/10.1080/13241583.2020.1821487
  7. Singh S. K. (2018) Robust dynamic parameter estimation for hydrological model, Int. J. Hydrology Science and Technology, (in press).
  8. M. S. Srinivasan, Richard W. Muirhead, Singh S. K., Ross M. Monaghan, Roland Stenger, Murray E. Close, Andrew Manderson, John J. Drewry, Leo Christopher Smith, Diana Selbie Roger Hodson (2020) Development of a national-scale framework to characterise transfers of N, P and Escherichia coli from land to water, New Zealand Journal of Agricultural Research, DOI: 10.1080/00288233.2020.1713822
  9. George A Griffiths, Singh S. K., Alistair McKerchar,(2020) Flood frequency estimation in New Zealand using a region of influence approach and statistical depth functions, Journal of Hydrology, 589:125187 doi:https://doi.org/10.1016/j.jhydrol.2020.125187
  10. Singh S. K. (2020) Hydrological model parameters space during calibration, Int. J. Hydrology Science and Technology, 10(1):52-71.
  11. Raqona VK, Singh S. K., Shankar U (2020) Toward mapping potential groundwater recharge zones across Viti Levu and Vanua Levu (Fiji islands) Sustainable Earth Review 1:7-15.
  12. Singh S. K., Markus Pahlow; Qingyun Duan, Griffiths, George (2019). Improving hydrological multi-model prediction by elimination of double-counting in the ensemble, Journal of Hydrology (NZ) Vol. 58, No. 2,81-103.
  13. George A Griffiths, Singh S. K., Alistair McKerchar, (2019) Towards prediction of extreme foods in New Zealand, Journal of hydrology (NZ) Vol. 58, No. 2,105-116
  14. Huaibin Wei, Zhang Jun-e, Singh S. K., Mingna Wang, (2019) Response of hydrological system to urbanization: a case study in Tianjin City, China, Desalination and Water Treatment, 149, 305314, doi: 10.5004/dwt.2019.23847.
  15. Arman Haddadchi, D. Murray Hicks, Jon M. Olley, Singh, S. K., M. S. Srinivasan (2019) Grid-based sediment tracing approach to determine sediment sources, Land Degradation Development,30:2088-2106 doi:10.1002/ldr.3407.
  16. Singh S. K., George Griffiths, Alistair McKerchar (2019) Reply to discussion on Temporal patterns for design hyetographs in New Zealand by S. Singh, G. Griffiths and A. McKerchar, submitted by Robert French and Malcolm Jones, Australian Journal of Water Resources 23:156-157 doi:10.1080/13241583.2019.1669960
  17. Singh S. K.,Jiaying Liang, Alejandro Chamorro (2018) Influence of calibration data on hydrological model prediction, Int. J. Hydrology Science and Technology, 8:244-257 _ Singh S. K. and Richard Ibbitt (2018), Assessment of irrigation demand shortfall, AIMS Geosciences,4(3): 166-179. doi: 10.3934/geosci.2018.3.166
  18. Singh S. K., Roland Stenger (2018) Indirect Methods to Elucidate Water Flows and Contaminant Transfer Pathways through Meso-scale Catchments a Review Environmental Processes doi:10.1007/s40710-018-0331-6.
  19. Singh S. K.,Markus Pahlow, Doug J. Booker, Ude Shankar (2018) Towards baseflow index characterisation at national scale in New Zealand, Journal of Hydrology, Volume 568, 2019, Pages 646-657.
  20. Megan L Devane, Ph.D.; Louise Weaver; Singh S. K.; Brent J Gilpin (2018) Indirect faecal source tracking methods to elucidate critical sources of pathogens and contaminant microbial transport through catchments - a review. Journal of Environmental Management, Volume 222, 293-303.
  21. Jinjin Ge, Wenqi Peng, Wei Huang, Xiaodong Qu, Singh S. K. (2018) Quantitative Assessment of Flow Regime Alteration using a Revised Range of Variability Method, Water 2018, 10, 597.
  22. Singh S. K., Zeddies, Malte ; Shankar , Ude (2017) Potential groundwater recharge zones across New Zealand, Geoscience Frontiers, 2018, page 1-9,doi.org/10.1016/j.gsf.2018.05.018.
  23. Wang Tiejun, Singh S. K., Andras Bardossy (2019).On the use of the critical event concept for quantifying soil moisture dynamics, Geoderma, Vol.335,27-34.
  24. Singh S. K.,George Griffiths, Alistair McKerchar (2017) Temporal patterns for design hyetographs in New Zealand, Australian Journal of Water Resources, Vol.22(1),78-83,doi:10.1080/13241583.2018.1475441.
  25. Singh S. K.,George Griffiths, Alistair McKerchar (2018) Towards estimating areal reduction factor for design rainfall in New Zealand, Journal of Hydrology (NZ) 57 (1): 25-33.
  26. Singh S. K. (2018). Regionalisation of hydrological model parameters in nested catchments. American Journal of Geographical Research and Reviews, 1:8.
  27. Singh S. K., Alejandro Chamorro, M S Srinivasan, Lutz Breuer (2017). Analysis of drought severity-duration-frequency using copula, Journal of Hydrology (NZ) Vol. 56(1),13-30.
  28. Singh S. K. (2018), Evaluation of Seasonal Streamflow Forecasting,. American Journal of Geographical Research and Reviews, 1:4.
  29. Singh S. K., Marcy, Nelly (2017) Comparative study of hydrological model, simple versus complex model for climate change, AIMS Geosciences, Vol 3(3), 467-497.
  30. Singh S.K, Subhajit Dutta (2017). Observational Uncertainty in Hydrological Modelling using Data Depth, Global NEST Journal, Vol. 19(3), 489-497.
  31. Singh S. K., Richard P. Ibbitt, M. S. Srinivasan, Ude Shankar (2017) Inter-comparison of experimental catchment data and hydrological modelling, Journal of Hydrology, Vol.550,1-11, doi.org/10.1016/j.jhydrol.2017.04.049
  32. Singh S. K. (2015) Long-term streamflow forecasting based on ensemble streamflow prediction technique. Water Resources Management, 30(7):2295-2309.
  33. Singh S. K. (2016) Sub-grid snow variability in stream ow modelling of an alpine catchment, Int. J. Hydrology Science and Technology, Vol. 7(3), 268-285

  1. Singh, S. K., H. McMillan, A. Bardossy and C. Fateh (2016). Nonparametric catchment clustering using the data depth function. Hydrological Sciences Journal 61(15): 2649-2667.
  2. Singh S. K., Bardossy A. (2015) Hydrological model calibration by sequential replacement of week parameter sets using depth function, Hydrology,2(1), 1-24; doi:10.3390/hydrology1010040.
  3. Singh S. K., S. K. Jain, Bardossy A., (2014). Calibration of a Catchment Model using the ROPE Algorithm., Hydrology Journal, Vol. 37 Issue 1 and 2, pp 1-13.
  4. Singh S. K., S. K. Jain, Bardossy A., (2014). Training of Artificial Neural Networks Using Information-Rich Data, Hydrology,1(1), 40-62; doi:10.3390/hydrology1010040
  5. Singh S. K.; Hilary McMillan and A. Bardossy. (2013) Use of the data depth function to differentiate between case of interpolation and extrapolation in hydrological model prediction., Journal of Hydrology, vol. 477 213-228
  6. Hilary McMillan, Einar Hreinsson, Martyn Clark, S. K. Singh, Christian Zammit, Michael Uddstrom. (2012) Operational hydrological data assimilation with the Retrospective Ensemble Kalman Filter: Use of observed discharge to update past and present model states for ow forecasts.; Hydrology and. Earth System. Science, 9, 9533-9575, doi:10.5194/hessd-9- 9533-2012
  7. Singh S. K.; Jiaying Liang and A. Bardossy.(2012) Improving calibration strategy of physically based model WaSiM-ETH using critical events., Hydrological Sciences Journal, 57 (8), 1487-1505.
  8. Singh S. K., Bardossy A.;(2012). Calibration of hydrological models on hydrologically unusual events., Advance in Water Resources, Volume 38, Pages 81-91.
  9. Singh S. K., Bardossy A., Gotzinger J., K.P. Sudheer., (2012). Effect of resolution on regionalization of model parameters, Hydrological Process, Volume 26, Page 3499-3509
  10. Bardossy A., Singh S. K. (2011). Regionalisation of model parameters using data depth function, Hydrology Research Vol 42(5), pp:356-371
  11. Bardossy A., Singh S. K. (2008). Robust estimation of hydrological model parameters., Hydrology and Earth System. Science., 12, 1273-1283.
  12. Sudheer, K. P., Singh. S. K., Mathew M, and Raju, R. (2007). Constraints in Production and Postproduction Management of Vanilla Crop. Agricultural Engineering Today, Vol. 31(1), PP:37-40.