Chandranath Chatterjee
Chandranath Chatterjee
Professor (Hydrology and Water Resources), IIT Kharagpur
Verified email at agfe.iitkgp.ernet.in
Title
Cited by
Cited by
Year
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
2262010
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
1582009
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
1382009
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
1332010
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
1222005
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
1132003
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
952007
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
882009
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
822016
A new wavelet--bootstrap--ANN hybrid model for daily discharge forecasting
MK Tiwari, C Chatterjee
Journal of Hydroinformatics 13 (3), 500-519, 2011
822011
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
772008
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
682006
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
662014
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
662013
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
632002
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
592015
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
59*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
542014
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
522014
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
502016
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