Chandranath Chatterjee
Chandranath Chatterjee
Professor (Hydrology and Water Resources), IIT Kharagpur
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Cited by
Development of an accurate and reliable hourly flood forecasting model using wavelet–bootstrap–ANN (WBANN) hybrid approach
MK Tiwari, C Chatterjee
Journal of Hydrology 394 (3-4), 458-470, 2010
Flood forecasting using ANN, neuro-fuzzy, and neuro-GA models
A Mukerji, C Chatterjee, NS Raghuwanshi
Journal of Hydrologic Engineering 14 (6), 647-652, 2009
Flood inundation modeling using MIKE FLOOD and remote sensing data
S Patro, C Chatterjee, S Mohanty, R Singh, NS Raghuwanshi
Journal of the Indian Society of Remote Sensing 37 (1), 107-118, 2009
Uncertainty assessment and ensemble flood forecasting using bootstrap based artificial neural networks (BANNs)
MK Tiwari, C Chatterjee
Journal of Hydrology 382 (1), 20-33, 2010
Regional flood frequency analysis using L-moments for North Brahmaputra region of India
R Kumar, C Chatterjee
Journal of Hydrologic Engineering 10 (1), 1-7, 2005
Development of regional flood frequency relationships using L-moments for Middle Ganga Plains Subzone 1 (f) of India
R Kumar, C Chatterjee, S Kumar, AK Lohani, RD Singh
Water Resources Management 17 (4), 243-257, 2003
Runoff estimation for an ungauged catchment using geomorphological instantaneous unit hydrograph (GIUH) models
R Kumar, C Chatterjee, RD Singh, AK Lohani, S Kumar
Hydrological Processes: An International Journal 21 (14), 1829-1840, 2007
Hydrodynamic modelling of a large flood‐prone river system in India with limited data
S Patro, C Chatterjee, R Singh, NS Raghuwanshi
Hydrological Processes 23 (19), 2774-2791, 2009
Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study
DS Bisht, C Chatterjee, S Kalakoti, P Upadhyay, M Sahoo, A Panda
Natural Hazards, 1-28, 2016
A new wavelet--bootstrap--ANN hybrid model for daily discharge forecasting
MK Tiwari, C Chatterjee
Journal of Hydroinformatics 13 (3), 500-519, 2011
Comparison of hydrodynamic models of different complexities to model floods with emergency storage areas
C Chatterjee, S Förster, A Bronstert
Hydrological Processes: An International Journal 22 (24), 4695-4709, 2008
Flood estimation by GIUH-based Clark and Nash models
B Sahoo, C Chatterjee, NS Raghuwanshi, R Singh, R Kumar
Journal of Hydrologic Engineering 11 (6), 515-525, 2006
Are recent frequent high floods in Mahanadi basin in eastern India due to increase in extreme rainfalls?
PP Jena, C Chatterjee, G Pradhan, A Mishra
Journal of Hydrology 517, 847-862, 2014
Spatial variability of climate change impacts on yield of rice and wheat in the Indian Ganga Basin
A Mishra, R Singh, NS Raghuwanshi, C Chatterjee, J Froebrich
Science of the Total Environment 468, S132-S138, 2013
Sensitivity analysis of the GIUH based Clark model for a catchment
R Kumar, C Chatterjee, AK Lohani, S Kumar, RD Singh
Water Resources Management 16 (4), 263-278, 2002
Reservoir inflow forecasting using ensemble models based on neural networks, wavelet analysis and bootstrap method
S Kumar, MK Tiwari, C Chatterjee, A Mishra
Water resources management 29 (13), 4863-4883, 2015
GIS based morphometric analysis of Ajay river basin up to Sararath gauging site of south Bihar
R Kumar, AK Lohani, CC Sanjay, RK Nema
J. Appl. Hydrol 14 (4), 45-54, 2000
Evaluation of TRMM rainfall estimates over a large Indian river basin (Mahanadi)
D Kneis, C Chatterjee, R Singh
Hydrology and Earth System Sciences 18 (7), 2493-2502, 2014
Wavelet Bootstrap Multiple Linear Regression Based Hybrid Modeling for Daily River Discharge Forecasting
V Sehgal, MK Tiwari, C Chatterjee
Water Resources Management 28 (10), 2793–2811, 2014
A wavelet-based non-linear autoregressive with exogenous inputs (WNARX) dynamic neural network model for real-time flood forecasting using satellite-based rainfall products
T Nanda, B Sahoo, H Beria, C Chatterjee
Journal of hydrology 539, 57-73, 2016
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