List of Publications (in reverse
chronological order)
Summary: Citations - 2192; h-index
-29; i10-index - 51 (Google scholar)
Citations - 1541; h-index -24
(Scopus)
(For latest update: Google Scholar, Scopus)
Books – 02
Book Chapters – 16
Patent/Copyright – 01
Refereed Journals – 95
Conferences and Symposia – 83
Technical Reports – 07
Note to
publishers: These articles are put on my website solely for fair use by the
academic community. However, if you believe that your copyright has been
violated by the presence of my pdf articles on this website, please let me know
immediately and your concern will be addressed.
Books:
First Edition details:
Maity R.,
(2018), Statistical Methods in Hydrology and Hydroclimatology, Springer, Copyright © 2018 Springer
Nature Singapore Pte Ltd., pp. 444, e-Book ISBN: 978-981-10-8779-0, Hard Cover
ISBN: 978-981-10-8778-3, DOI: 10.1007/978-981-10-8779-0. Online
link, Coverpage.
Book Chapters:
Patent/Copyright:
Refereed Journals:
2024
2023
2022
2021
2020
33.
Pichuka S., and R.
Maity, (2020), How far
the CORDEX high-resolution data represents observed precipitation: An analysis across Indian mainland, Theoretical and
Applied Climatology, Springer,
142, 899–910, https://doi.org/10.1007/s00704-020-03355-5. Article link. Article
(3.7 MB).
34.
Suman M.
and R. Maity (2020), Southward shift
of precipitation extremes over south Asia: Evidences from CORDEX data, Scientific
Reports, Nature Publishing Group, 10:6452, doi: 10.1038/s41598-020-63571-x. Article link. Article
(3.4 MB).
35. Pichuka S., and R. Maity, (2020), Assessment of Extreme Precipitation in Future
through Time-Invariant and Time-Varying
Downscaling Approaches, Water Resources Management, Springer, 34(5),
1809–1826, doi: 10.1007/s11269-020-02531-6.
Article link. Article
(1.3 MB).
36.
Sarkar S., and R. Maity, (2020), High-resolution One-day Probable Maximum
Precipitation dataset across India and its Future-projected Changes over India,
Data in Brief, Elsevier, 30:105525, doi: 10.1016/j.dib.2020.105525. Article link. Article
(0.7 MB).
37.
Sarkar
S., and R. Maity, (2020), Estimation
of Probable Maximum Precipitation in the context of climate change, MethodsX, Elsevier, 7, doi: 10.1016/j.mex.2020.100904. Article link. Article
(0.9 MB)
38.
Dutta R.,
and R. Maity, (2020), Spatial variation in long-lead
predictability of summer monsoon rainfall using a time-varying model and global
climatic indices, International
Journal of Climatology, Royal
Meteorological Society (RMetS), 40(14),
5925–5940, https://doi.org/10.1002/joc.6556. Article link. Article
(4.3 MB).
39.
Khan M.I. and R.
Maity (2020), Hybrid deep learning approach for multi-step-ahead daily
rainfall prediction using GCM simulations, IEEE
Access, IEEE, 8(1),
52774-52784, doi: 10.1109/ACCESS.2020.2980977. Article link. Article
(1.7 MB).
40.
Sarkar S., and R. Maity, (2020), Increase in Probable Maximum Precipitation in a
Changing Climate over India, Journal of
Hydrology, Elsevier, 585, 10.1016/j.jhydrol.2020.124806. Article link. Article
(1.8 MB).
41.
Maity R., K. Chanda, R. Dutta, J.V. Ratnam, M. Nonaka, and S. Behera
(2020), Contrasting
features of hydroclimatic teleconnections and
the predictability of seasonal rainfall over east and west Japan,
Meteorological
Applications, Royal Meteorological
Society (RMetS), 27:e1881,
DOI: DOI: 10.1002/met.1881. Article
link. Article
(1.3 MB).
42.
Pal M., R. Maity, J.V. Ratnam, M. Nonaka, and S. K. Behera, (2020),
Long-lead Prediction of ENSO Modoki Index using Machine Learning algorithms, Scientific Reports, Nature Publishing Group, 10:365, DOI: 10.1038/s41598-019-57183-3.
Article link. Article
(2.6 MB).
2019
43.
Patra A, Bhaskaran, PK, and R. Maity (2019), Spectral Wave Characteristics over the Head Bay of Bengal: A Modeling
Study, Pure and Applied Geophysics, Springer, 176(12), 5463–5486, doi:
10.1007/s00024-019-02292-3. Article
link. Article
(5.0 MB).
44. Suman M. and R. Maity (2019), Hybrid wavelet-ARX approach for modeling
association between rainfall and meteorological forcings at river basin scale, Journal
of Hydrology, Elsevier, 577(123918), DOI:
10.1016/j.jhydrol.2019.123918. Article link. Article
(3.1 MB).
45. Dash
S. and R. Maity (2019), Temporal
evolution of precipitation based climate change indices across India: Contrast
between pre- and post-1975 features, Theoretical and Applied
Climatology, Springer, 138(3), 1667-1678, DOI:
10.1007/s00704-019-02923-8. Article link.
Article
(2.3 MB).
46. Pal M. and R. Maity (2019), Soil Moisture Retrieval using Quad-Polarized SAR Data from Radar Imaging Satellite 1 (RISAT1) through Artificial Intelligence based Soft Computing Techniques, Journal of the Indian Society of Remote Sensing, Springer, 47(10),1671–1682, DOI: 10.1007/s12524-019-01015-4. Article link. Article (3.4 MB).
47.
Sarkar S., Germer, K., R. Maity, and Durner W. (2019), Measuring
Near-Saturated Hydraulic Conductivity of Soils by quasi Unit-Gradient
Percolation – 2. Application of the Methodology, Journal
of Plant Nutrition and Soil Science,
Wiley, 182, 535-540,
DOI: 10.1002/jpln.201800383. Article
link. Article
(1.2 MB).
48.
Sarkar S., Germer, K., R. Maity, and Durner W. (2019),
Measuring Near-Saturated Hydraulic Conductivity of Soils by quasi Unit-Gradient
Percolation – 1. Theory and Numerical Analysis, Journal
of Plant Nutrition and Soil Science,
Wiley, 182,
524-534, DOI: 10.1002/jpln.201800382. Article link. Article
(1.7 MB).
49.
Maity R., M. Suman, P. Laux, and H. Kunstmann, (2019),
Bias correction of zero-inflated RCM precipitation fields: A copula-based scheme for both mean and extreme, Journal
of Hydrometeorology, American
Meteorological Society (AMetSoc), 20(4), 595-611, DOI:
10.1175/JHM-D-18-0126.1. Article
link. Article
(2.3 MB).
50. Pal
M. and R. Maity (2019), Development
of a spatially-varying statistical soil moisture profile model by coupling
memory and forcing using hydrologic soil groups, Journal
of Hydrology, Elsevier, 570, 141-155, DOI:
10.1016/j.jhydrol.2018.12.042. Article link.
Article
(4.2 MB).
51. Suman
M. and R. Maity (2019), Assessment
of Streamflow Variability with upgraded HydroClimatic Conceptual Streamflow
Model, Water Resources Management, Springer, 33(4),1367–1382, DOI:
10.1007/s11269-019-2185-8. Article link.
Article
(1.9 MB).
2018
52. Dutta
R., and R. Maity, (2018), Temporal
evolution of hydroclimatic teleconnection and long-lead prediction of Indian
summer monsoon rainfall using time varying model, Scientific Reports, Nature Publishing Group, 8:10778, DOI:
10.1038/s41598-018-28972-z. Article link.
Article
(3.6 MB).
53. Naren A., and R. Maity, (2018), Modelling of
Local Sea Level Rise and its Future Projection under Climate Change using
Regional Information through EOF Analysis, Theoretical and
Applied Climatology, Springer,
134(3-4), 1269-1285, DOI: 10.1007/s00704-017-2338-8. Article link. Article
(4.4 MB).
54. Pichuka S., and R. Maity, (2018),
Development of a time-varying downscaling model considering non-stationarity
using a Bayesian approach, International
Journal of Climatology, Royal
Meteorological Society (RMetS), 38(7), 3157-3176, DOI:
10.1002/joc.5491. Article
link, Article
(1.4 MB).
2017
55. Chanda K., and R.
Maity, (2017), Assessment of Trend in Global Drought Propensity in the 21st
century using Drought Management Index, Water Resources
Management, Springer, 31(4),
1209-1225, DOI: 10.1007/s11269-017-1571-3. Article link, Article
(4.7 MB).
56. Pichuka S., P.R. Rajendra, R. Maity, and H. Kunstmann, (2017), Development of a method to identify change in
the pattern of extreme streamflow events in future climate: Application on the
Bhadra reservoir inflow in India, Journal
of Hydrology: Regional Studies, Elsevier,
9,
236-246, DOI: 10.1016/j.ejrh.2016.12.084. Article link, Article
(1.1 MB).
57. Pal M., R. Maity, M. Suman, S.K. Das, P. Patel and H.S. Srivastava, (2017), Satellite based Probabilistic Assessment of Soil Moisture using C-band Quad-polarized RISAT 1 data, IEEE Transactions on Geoscience and Remote Sensing, IEEE, 55(3), 1351-1362, DOI: 10.1109/TGRS.2016.2623378. Article link, Article (1.1 MB).
2016
58.
Naren
A., and R. Maity, (2016),
Hydroclimatic Modelling of Local Sea Level Rise and its Projection in Future, Theoretical and Applied
Climatology, Springer,
130(3-4), 761-774, DOI:
10.1007/s00704-016-1897-4. Article
link, Article
(4.3 MB).
59.
Subbarao
P., and R. Maity, (2016), Spatio-temporal downscaling of projected
precipitation in 21st century: Indication of a wetter monsoon over
the upper Mahanadi basin in India, Hydrological Sciences
Journal, Taylor & Francis,
62(3), 467-482, DOI:
10.1080/02626667.2016.1241882. Article link, Article
(2.4 MB).
60.
Maity R., M. Suman, and N. K. Verma, (2016),
Drought prediction using a wavelet based approach to model the temporal consequences
of different types of droughts, Journal of
Hydrology, Elsevier, 539, 417-428, DOI:
10.1016/j.jhydrol.2016.05.042. Article link, Article
(1.6 MB).
61.
Pal,
M., R. Maity, and S. Dey,
(2016), Statistical Modelling of Vertical Soil Moisture Profile: Coupling of
Memory and Forcing, Water Resources Management, Springer, 30(6), 1973-1986, DOI: 10.1007/s11269-016-1263-4. Article link, Article
(0.8 MB).
2015
62.
Chanda
K., and R. Maity, (2015), Closure to “Discussion of Meteorological
Drought Quantification with Standardized Precipitation Anomaly Index for the
Regions with Strongly Seasonal and Periodic Precipitation by Kironmala Chanda
and Rajib Maity”, Journal of Hydrologic
Engineering, American Society for Civil
Engineering (ASCE), 21(5):
07016004, DOI: 10.1061/(ASCE)HE.1943-5584.0001369. Article link,
Article
(0.4 MB).
63.
Maity R., A. Aggrawal, and K. Chanda, (2015), Do CMIP5
models hint at a warmer and wetter India in the twenty-first century?, Journal of Water and Climate Change, IWA Publishing, 7(2), 280-295; DOI: 10.2166/wcc.2015.126. Article link, Article
(1.3 MB).
64.
Chanda
K., and R. Maity, (2015),
Meteorological Drought Quantification with Standardized Precipitation Anomaly
Index (SPAI) for the Regions with Strongly Seasonal and Periodic Precipitation,
Journal of Hydrologic
Engineering, American Society for Civil
Engineering (ASCE), 20(12),
06015007-1 – 06015007-8, DOI: 10.1061/(ASCE)HE.1943-5584.0001236. Article link,
Article
(1.7 MB).
65.
Das
S. K, and R. Maity, (2015), A
hydrometeorological approach for probabilistic simulation of monthly soil
moisture under bare and crop land conditions, Water
Resources Research, American Geophysical
Union (AGU), 51(4),
2336–2355, DOI:10.1002/2014WR016043. Article link, Article
(2.6 MB).
66.
Chanda
K., and R. Maity, (2015), Uncovering Global Climate Fields Causing Local
Precipitation Extremes, Hydrological Sciences
Journal, Taylor & Francis,
61(10), 1227-1237, DOI:
10.1080/02626667.2015.1006232. Article link, Article
(1.6 MB).
67.
Maity R., S. Dey, and P. Varun, (2015), Alternative
Approach for Estimation of Precipitation using Doppler Weather Radar Data, Journal of Hydrologic
Engineering, American Society for Civil
Engineering (ASCE), 20(10):04015006,
DOI: 10.1061/(ASCE)HE.1943-5584.0001146. Article link,
Article
(8.9 MB).
2014
68.
Meenu
R., R. Maity, R. Ojha, and R. S. Govindaraju,
(2014), Predictor selection for streamflows using a graphical modeling
approach, Stochastic Environmental Research
and Risk Assessment, Springer,
29(6), 1583-1599, DOI:
10.1007/s00477-014-0977-1. Article
link, Article
(3.5 MB).
69.
Chanda
K., R. Maity, A. Sharma, and R.
Mehrotra, (2014), Spatiotemporal Variation
of Long-term Drought Propensity through Reliability-Resilience-Vulnerability
based Drought Management Index, Water
Resources Research, American Geophysical
Union (AGU), 50(10), 7662–7676, DOI: 10.1002/2014WR015703. Article link, Article
(3.5 MB).
70.
Das
S. K., and R. Maity, (2014),
Potential of Probabilistic Hydrometeorological Approach
for Precipitation-Based Soil Moisture Estimation, Journal of Hydrologic
Engineering, American Society for Civil
Engineering (ASCE), 20(4):04014056,
DOI: 10.1061/(ASCE)HE.1943-5584.0001034. Article link,
Article
(3.6 MB).
71.
Das
S. K. and R. Maity, (2014), On the
Application of Probabilistic Hydrometeorological Simulation of Soil Moisture
across Different Stations in India, Journal of Geoscience and Environment
Protection, Scientific Research,
2(3), 159-169. DOI:
10.4236/gep.2014.23021. Article
link, Article
(0.7 MB).
72.
Bhagwat P.P., and R. Maity, (2014), Development of
HydroClimatic Conceptual Streamflow (HCCS) Model for Tropical River Basins, Journal
of Water and Climate Change, IWA
Publishing, 5(1), 36-60, DOI: 10.2166/wcc.2013/015. Article
link, Article
(1.2 MB).
73.
Bhagwat P.P., and R. Maity, (2014), Reply to the
“Discussion by Haddad et al. on ‘Hydroclimatic Streamflow Prediction using
Least Square-Support Vector Regression’ by Bhagwat and Maity (2013)”, ISH Journal of
Hydraulic Engineering, Taylor &
Francis, 20(3), 276-277, DOI: 10.1080/09715010.2014.881075. Article link, Article
(1.0 MB).
2013
74.
Maity R., R. Meenu, and R.S. Govindaraju, (2013),
Identification of Hydrologic Drought Triggers from Hydro-climatic Predictor
Variables, Water
Resources Research, American Geophysical
Union (AGU), 49(7),
4476 – 4492, DOI: 10.1002/wrcr.20346. Article link, Article
(1.3 MB).
75.
Bhagwat P.P., and R. Maity, (2013), Hydroclimatic Streamflow Prediction using Least Square-Support
Vector Regression, ISH Journal of
Hydraulic Engineering, Taylor &
Francis, 19(3), 320-328, DOI:
10.1080/09715010.2013.819705. Article link, Article
(1.1 MB).
76.
Das S. K., and R. Maity, (2013), Probabilistic Simulation of Surface Soil Moisture
using Hydrometeorological Inputs, ISH Journal
of Hydraulic Engineering, Taylor &
Francis, 19(3), 227-234, DOI:
10.1080/09715010.2013.798907. Article link, Article
(0.7 MB).
77.
Maity R., A. Sharma, D. Nagesh Kumar, and K. Chanda,
(2013), Characterizing drought using the reliability-resilience-vulnerability
concept, special issue on Data Driven Approaches to Droughts, Journal of Hydrologic
Engineering, American Society for Civil
Engineering (ASCE), 18(7),
859-869, DOI: 10.1061/(ASCE)HE.1943-5584.0000639. Article
link, Article
(1.6 MB).
2012
78.
Maity R.,
(2012), Probabilistic Assessment of one-step-ahead Rainfall Variation by Split
Markov Process, Hydrological
Processes, Wiley, 26(7), 3182 – 3194, DOI:
10.1002/hyp.8245. Article link,
Article
(0.6 MB).
79.
Kashid
S.S., and R. Maity (2012),
Prediction of Monthly Rainfall on Homogeneous Monsoon Regions of India Based on
Large Scale Circulation Patterns using Genetic Programming, Journal of
Hydrology, Elsevier,
454-455, 26-41, DOI: 10.1016/j.jhydrol.2012.05.033. Article link, Article
(1.3 MB).
80.
Bhagwat
P.P., and R. Maity, (2012),
Multistep-ahead River Flow Prediction using LS-SVR at Daily Scale, Journal of Water Resource and
Protection (JWARP), 4(7),
528-539, DOI: 10.4236/jwarp.2012.47062. Article link, Article
(1.8 MB).
2011
81.
Maity R.,
and S. S. Kashid, (2011), Importance Analysis of Local and Global Climate
Inputs for Basin-Scale Streamflow Prediction, Water
Resources Research, American Geophysical
Union (AGU), 47(11),
W11504, DOI:10.1029/2010WR009742. Article
link, Article
(1.4 MB).
2010
82.
Kashid
S. S., S. Ghosh, and R. Maity,
(2010), Streamflow Prediction using Multi-Site Rainfall Obtained from
Hydroclimatic Teleconnection, Journal of
Hydrology, Elsevier, 395(1-2), 23-38, DOI: 10.1016/j.jhydrol.2010.10.004. Article
link, Article
(1.3 MB).
83.
Maity R.,
and S. S. Kashid, (2010), Short-term basin-scale streamflow forecasting using
large-scale coupled atmospheric oceanic circulation and local outgoing longwave
radiation, Journal
of Hydrometeorology, American
Meteorological Society (AMetSoc), 11(2), 370-387, DOI: 10.1175/2009JHM1171.1. Article link, Article
(1.2 MB).
84.
Maity R.,
P. P. Bhagwat and A. Bhatnagar, (2010), Potential of Support Vector Regression
for Prediction of Monthly Streamflow using Endogenous Property, Hydrological
Processes, Wiley, 24(7), 917-923, DOI: 10.1002/hyp.7535. Article link,
Article
(0.3 MB).
2009
85.
Maity R.,
and S. S. Kashid, (2009), Hydroclimatological approach for monthly streamflow
prediction using genetic programming, ISH Journal of
Hydraulic Engineering, Taylor &
Francis, 15(2),
89-107, DOI: 10.1080/09715010.2009.10514943. Article
link, Article
(1.3 MB).
86.
Maity R.,
and D. Nagesh Kumar, (2009), Hydroclimatic influence of large-scale circulation
on the variability of reservoir inflow, Hydrological
Processes, Wiley, 23(6), 934 – 942, DOI:
10.1002/hyp.7227. Article link,
Article
(0.2 MB).
87.
Maity R.,
S. S. Kashid and A. Bhatnagar, (2009), Hydrometeorological modeling approaches
using Support Vector Regression (SVR) and Genetic Programming (GP), Special Issue of the ISH Journal
of Hydraulic Engineering, Taylor &
Francis, 15(SP1),
244-257, DOI: 10.1080/09715010.2009.10514978. Article
link, Article
(0.9 MB).
2008
88.
Maity R.,
and D. Nagesh Kumar, (2008), Probabilistic prediction of hydroclimatic
variables with nonparametric quantification of uncertainty, Journal of
Geophysical Research - Atmospheres, American Geophysical Union
(AGU), 113(D14), D14105, DOI:
10.1029/2008JD009856. Article
link, Article
(0.9 MB).
89.
Nagesh
Kumar D., and R. Maity, (2008), Bayesian dynamic modeling for
nonstationary hydroclimatic time series forecasting along with uncertainty
quantification, Hydrological
Processes, Wiley, 22(17), 3488-3499, DOI:
10.1002/hyp.6951. Article link,
Article
(0.3 MB).
90.
Maity R.,
and D. Nagesh Kumar, (2008), Basin-scale streamflow forecasting using the
information of large-scale atmospheric circulation phenomena, Hydrological Processes, Wiley, 22(5), 643-650, DOI: 10.1002/hyp.6630. Article link,
Article
(0.3 MB).
2007
91.
Maity R., D.
Nagesh Kumar and Ravi S. Nanjundiah, (2007), Review of hydroclimatic
teleconnection between hydrologic variables and large-scale atmospheric
circulation indices with Indian perspective, ISH Journal of
Hydraulic Engineering, Taylor &
Francis, 13(1),
77-92, DOI: 10.1080/09715010.2007.10514859. Article
link, Article
(1.1 MB).
92.
Nagesh
Kumar D., M. J. Reddy and R. Maity, (2007), Regional Rainfall
Forecasting using Large Scale Climate Teleconnections and Artificial
Intelligence Techniques, Journal
of Intelligent Systems, De Gruyter,
16(4), 307-322, DOI:
10.1515/JISYS.2007.16.4.307. Article
link, Article
(0.3 MB).
93.
Maity R.,
and D. Nagesh Kumar, (2007), Hydroclimatic teleconnection between global
sea surface temperature and rainfall over India at subdivisional monthly scale,
Hydrological
Processes, Wiley, 21(14), 1802-1813, DOI:
10.1002/hyp.6300. Article link,
Article
(1.2 MB).
2006
94.
Maity R.,
and D. Nagesh Kumar, (2006), Hydroclimatic association of monthly summer monsoon
rainfall over India with large-scale atmospheric circulation from tropical
Pacific Ocean and Indian Ocean region, Atmospheric Science
Letters, Royal Meteorological Society
(RMetS), 7(4),
101-107, DOI: 10.1002/asl.141. Article
link, Article
(0.8 MB).
95.
Maity R.,
and D. Nagesh Kumar, (2006), Bayesian dynamic modeling for monthly Indian
summer monsoon rainfall using El Niño-Southern Oscillation (ENSO) and
Equatorial Indian Ocean Oscillation (EQUINOO), Journal of
Geophysical Research - Atmospheres, American Geophysical Union
(AGU), 111(D7), D07104,
DOI:10.1029/2005JD006539. Article
link, Article
(PDF 1.5 MB).
Project/Technical Report:
Conferences and Symposia:
28.
Dutta
R., and R. Maity, (2020),
Time-varying Model for Seasonal Rainfall Prediction in Japan Based on the
Temporal Evolution of Hydroclimatic Teleconnection, 17th Annual
Meeting of Asia Oceania Geosciences Society (AOGS 2020) at Sono Belle Vivaldi
Park, Hongcheon during Jun 28 – July 04, 2020.
29.
Das
P., K. Chanda and R. Maity, (2020), How useful are CORDEX
products for the assessment of future agricultural drought propensity across
the Indian subcontinent?, In session HS2.4.7 – Hydrological change: Regional
hydrological behaviour under transient climate and land use conditions,
EGU2020-6856, European Geosciences Union General Assembly 2020, May 03-08,
2020, Vienna, Austria.
30.
Suman
M., and R. Maity, (2020), Modeling of Basin Scale Hydro-meteorological
association by Hybrid Wavelet-ARX approach, In session HS2.4.7 – Hydrological
change: Regional hydrological behaviour under transient climate and land use
conditions, EGU2020-6856, European Geosciences Union General Assembly 2020, May
03-08, 2020, Vienna, Austria.
31.
Maity R., K. Chanda, R. Dutta, J. V. Ratnam,
M. Nonaka and S. Behera (2020), How dissimilar are the large-scale
hydroclimatic precursors and predictability of anomalous monthly rainfall in
east and west Japan?, In session HS2.4.7 – Hydrological change: Regional
hydrological behaviour under transient climate and land use conditions, EGU2020-6856,
European Geosciences Union General Assembly 2020, May 03-08, 2020, Vienna,
Austria
32.
Pal
M., and R. Maity, (2020), Spatially-Varying Statistical Soil Moisture Profile
Model by Coupling Memory and Forcing using Hydrologic Soil Groups to Estimate
Vertical Soil Moisture Profile, In session HS2.4.7 – Hydrological change:
Regional hydrological behaviour under transient climate and land use
conditions, EGU2020-6856, European Geosciences Union General Assembly 2020, May
03-08, 2020, Vienna, Austria.
33.
Maity R., M. Suman, P. Laux, and H. Kunstmann (2019),
Copula-based Bias correction scheme for zero-inflated RCM precipitation fields,
In the proceeding of Water Future Conference 2019, at Indian Institute of
Science (IISc), Bangaluru, India during September 24-27, 2019.
34.
Naren
A, and R. Maity (2019),
Hydroclimatic Projection of Coastal Inundation for the 21st Century during
Tropical Cyclone Thane in the Bay of Bengal, In the proceedings of 6th
Biennial Conference of Oceanic Society of India (OSICON-19) at Centre for Marine
Living Resources & Ecology, Ministry of Earth Science, Kochi, Kerala, India during December 12 – 14,
2019.
35.
Chanda
K., and R. Maity,
(2019), Hydroclimatic Prediction using Machine Learning Approach
incorporating Time-varying Concept, In the Proceedings of the 16th Annual
Meeting of Asia Oceania Geosciences Society (AOGS 2019) at Singapore during
28th July 28 – August 02, 2019.
36.
Dash
S., and R. Maity, (2019), Temporal
Evolution of Precipitation and Temperature Based Climate Change Indices Across
India, In the Proceedings of the 16th Annual Meeting of Asia Oceania
Geosciences Society (AOGS 2019) at Singapore during 28th July 28 – August 02,
2019.
37.
Dutta
R., and R. Maity, (2019), Potential
of Graphical Modelling in Long-lead Seasonal Prediction of Regional Summer
Monsoon Rainfall in Context of Climate Change, In the Proceedings of the 16th
Annual Meeting of Asia Oceania Geosciences Society (AOGS 2019) at Singapore
during 28th July 28 – August 02, 2019.
38.
Sarkar
S., and R. Maity, (2019), Observed
Change in Spatio-temporal Distribution of Global Probable Maximum Precipitation
in a Changing Climate, In the Proceedings of the 16th Annual Meeting
of Asia Oceania Geosciences Society (AOGS 2019) at Singapore during 28th July
28 – August 02, 2019.
39.
Naren
A., and R. Maity, (2019), Hydroclimatic Projection of Coastal Inundation for
the 21st Century during Tropical Cyclone AILA in the Bay of Bengal, In session
NH5.7/AS4.63/CL3.10/GM11.10/OS2.12 - Natural hazards and climate change impacts
in coastal areas, EGU2019-4383, European Geosciences Union General Assembly
2019, April 07-12, 2018, Vienna, Austria
40.
Pichuka
S., and R. Maity, (2019), Assessment
of urban temperature rise with time-varying downscaling model, In the
proceedings of National Environmental Conference 2019, January 31- February 02,
2019, IIT Bombay, India.
41.
Pichuka
S., and R. Maity, (2018),
Downscaling of Soil Moisture using Time-Varying Downscaling Model, AGU Fall
Meeting, Abstract ID# 135846, December 10-14, 2018, Washington DC, USA.
42.
Dutta
R., and R. Maity, (2018),
Probabilistic Prediction of Monthly Streamflow using Graphical Modeling
Approach, In the proceedings of HYDRO 2018 International conference,
HYD-18-120, December 19-21, 2018 at National Institute of Technology Patna,
India.
43.
Pichuka
S., and R. Maity, (2018), Assessment
of Extremes using Time-Varying Downscaling Model, In the proceedings of HYDRO
2018 International conference, HYD-18-109, December 19-21, 2018 at National
Institute of Technology Patna, India.
44.
Chanda
K., and R. Maity, (2018), Trivariate
Probabilistic Assessment of Meteorological Drought to Develop Drought Severity
Maps, In the session HS2.4.1 – Hydrologic Extremes in a Changing Climate, AOGS
15th Annual Meeting, June 03-08, 2018, Honolulu, Hawaii.
45.
Pichuka
S., and R. Maity, (2018), Time-Invariant
and Time-Varying Downscaling Approaches for the Assessment of Extreme
Temperatures Rise during 21st Century, In session HS2.4.1 –
Hydrological change: Regional hydrological behaviour under transient climate
and land use conditions, Vol. 20, EGU2018-11645, European Geosciences Union
General Assembly 2018, April 08-13, 2018, Vienna, Austria.
46.
Chanda
K., and R. Maity, (2018), Spatio-temporal Variation of Soil Moisture Drought
Propensity at the Continental Scale over the 21st century, In session
HS2.4.1 – Hydrological change: Regional hydrological behaviour under transient
climate and land use conditions, Vol. 20, EGU2018-742, European Geosciences
Union General Assembly 2018, April 08-13, 2018, Vienna, Austria.
47.
Pichuka
S., and R. Maity, (2018), How far
the CORDEX high-resolution data represents observed precipitation for the
Indian region? 6th Vietnam
International Water Week –VACI
2018, 4-8 March, 2018, Hanoi.
48.
Naren
A., and R. Maity, (2017), Modelling of
Local Sea Level Rise and its Projection in Future under Climate Change, In the
Proceedings of the 14th Annual Meeting of Asia Oceania Geosciences
Society (AOGS 2017) at Singapore during 6-11 August 2017, Singapore.
49.
Maity R., (2017), Streamflow Modelling
Considering Changing Climate and Watershed Characteristics, Invites speaker in
a session on “Impact & Consequences of Changing Climate and Landuse on
Hydrology” at 14th Annual Meeting of Asia Oceania Geosciences
Society (AOGS 2017) at Singapore during 6-11 August 2017, Singapore.
50.
Pal
M., M. Suman, S. K. Das, and R. Maity,
(2017), Probabilistic Assessment of Soil Moisture using C-band Quad-polarized
Remote Sensing Data from RISAT1, In Session HS6.4 Remote sensing of soil
moisture, EGU2017-14907, European Geosciences Union General Assembly 2017,
23-28 April, 2017 in Vienna, Austria.
51.
Maity R., (2016), Development of a
time-varying downscaling approach in a changing climate considering
nonstationarity issue, Network Meeting of the Alexander von Humboldt Foundation,
Freiburg, October 05-07, 2016.
52.
Suman
M., and R. Maity, (2016), Foreseeing
the Agricultural and Hydrological Drought Knowing the Ongoing Meteorological
Scenarios through Wavelet Analysis, International Conference on Hydraulics,
Water Resources, Coastal & Environmental
Engineering (HYDRO 2016 International), December 8-10, 2016 at CWPRS,
Pune, abstract accepted (Abstract ID# HYD-16-418).
53.
Das
S. K., and R. Maity, (2016), Copula-based Probabilistic
Estimation of Soil Moisture and its Potential Application in Air Pollution
Meteorology, AGU Fall Meeting, Abstract ID# 135846, December 12-16, 2016, San
Francisco, California, USA.
54.
Chanda
K., and R. Maity, (2016),
Identification of Distinct Global Climate Patterns behind Hydrological Extremes
in North-Eastern and Western India, Special session on Extreme Events in a
Changing Climate, 7th International Conference on Sustainable Built Environment 2016, December 16-18, 2016, Kandy, Sri Lanka.
55.
Pichuka
S., and R. Maity, (2016), Impact of Climate
Change on Monthly Precipitation during 21st Century in Upper
Mahanadi Basin, India, In the Proceedings of 3rd National Conference on
Sustainable Water Resources Development and Management (SWARDAM-2016), July 4-5, 2016, Organised by Department of Civil
Engineering, Government College of Engineering, Aurangabad – 431005,
Maharashtra, India.
56.
Chanda
K., and R. Maity, (2016), Global
Climate Pattern behind Hydrological Extremes in Central India, International
Conference on Water, Environment, Energy and Society (ICWEES-2016), organized
jointly by the Texas A & M University, Texas, USA and AISECT University,
March 15-18, 2016, Bhopal, India.
57.
Subbarao
P., and R. Maity, (2015),
Development of a Time Varying Downscaling Model Using Bayesian Approach and its
Comparison with Statistical Downscaling Model, In the Proceedings of the 20th International Conference on Hydraulics, Water Resources and
River Engineering (HYDRO-2015), December
17-19, 2015, IIT Roorkee.
58.
Chanda
K., and R. Maity, (2015), Assessment
of trend in drought propensity across the globe using CanESM2 projections, AGU
Joint Assembly, 3-7 May 2015, Abstract ID: 34864, Final paper No. AS13B-02,
Montreal, Canada.
59.
Maity R., (2015), Water Resources and Climate
Change: HydroClimatic Conceptual Streamflow (HCCS) Model as a potential approach for
watershed hydrologic modeling, In the proceedings of 47th IWWA
Annual Convention, 30 Jan – 1 Feb, 2015, Kolkata, pp. 140-152.
60.
Maity R., K. Chanda, D. Nagesh Kumar, A. Sharma and R.
Mehrotra, (2014), Potential of the Reliability-Resilience-Vulnerability (RRV)
Based Drought Management Index (DMI), AGU Fall Meeting, Final paper #
H23N-1085, December 15-19, 2014, San Francisco, California, USA.
61.
Das S. K., and R.
Maity, (2014), On
the Application of Probabilistic Hydrometeorological Simulation of Soil
Moisture Across Different Stations in India, In the Proceedings of 2nd Hydrology, Ocean and Atmosphere
Conference (HOAC 2014) during June
13-15, 2014 at Beijing, China.
62.
Maity R., S. Dey and A. Koppa, (2014),
HydroClimatic Conceptual Streamflow (HCCS) Model: A New Approach for Watershed
Hydrologic Modeling, In the proceedings of 19th IAHR - APD
Congress, September 21 - 24, 2014, WRU, Hanoi, Vietnam.
63.
Chanda K., and R.
Maity, (2013), Variation of Reliability-Resilience-Vulnerability based
Drought Managemnet Index (DMI) for Mahanadi basin, In the Proceedings of
National conference on Sustainable Water Resources Planning, Management and
Impact of Climate Change, during April 5-6, 2013 at BITS, Pilani Hyderabad
Campus, India.
64.
Das S. K., and R.
Maity, (2012), Probabilistic Simulation of Surface Soil Moisture using
Hydrometeorological Inputs, In the Proceedings of Conference on Hydraulics,
Water Resources, Coastal and Environmental Engineering (HYDRO-2012), December
7-8, 2012, IIT Bombay, Mumbai, India.
65.
Bhagwat P. P., and R.
Maity, (2012), Multistep-Ahead Stream Flow Prediction using Least
Square-Support Vector Regression, In the Proceedings of Conference on
Hydraulics, Water Resources, Coastal and Environmental Engineering (HYDRO-2012),
December 7-8, 2012, IIT Bombay, Mumbai, India.
66.
Maity R., and K. Chanda, (2012), Spatio-temporal analysis of
drought predictability across India, In the Proceedings of 5th
International Congress of Environmental Research (ICER), November, 22-24, 2012,
Universiti Malaysia Terengganu (UMT), Terengganu, Malaysia.
67.
Chanda K., and R. Maity, (2012), Influence of local
hydrometeorological variables on basin scale drought status, In the Proceedings
of 5th International Congress of Environmental Research (ICER), November,
22-24, 2012, Universiti Malaysia Terengganu (UMT), Terengganu, Malaysia.
68.
Maity R., R. Ojha, and R. S. Govindaraju,
(2012), Assessment of multi-dimensional coupled association
among hydroclimatic variables using graphical modelling
approach, Presented in
World Environment and Water Resources Congress, EWRI, ASCE, May 20-24, 2012.
69.
Maity R., M. Ramadas and R. S. Govindaraju,
(2012), Dimensionality reduction in hydroclimatic variables for probabilistic
streamflow prediction using a hybrid approach, Presented in World
Environment and Water Resources Congress, EWRI, ASCE, May 20-24, 2012.
70.
Maity R., and
K. Chanda, (2011), Probabilistic prediction of streamflow using the information
of Outgoing Longwave Radiation through Placket copula, In the
proceedings of International conference on Sustainable Water Resources
Management and Climate Change Adaptation, National Institute of Technology,
Durgapur, February 17-19, 2011, pp. 119-130.
71.
Maity R., and
M. Sawant, (2010), Uncertainty quantification for predicted stream flow
through a semi parametric approach, In the conference on ‘Sustainable Water Resources
Management and Impact of Climate Change’, March 5 – 6, 2010, March 5 – 6, 2010,
BITS-Pilani, Hyderabad Campus, India, pp. 280-290.
72.
Maity R.,
(2010), Large-scale climatic forcing along with local meteorological influence
on hydrologic variables, 5th IWA Young Water Professional Conference, July 5 – 7, 2010, Sydney,
Australia.
73.
Kashid
S.S., and R. Maity, (2010),
Prediction of monthly rainfall over homogeneous monsoon regions of India based
on large scale circulation patterns using genetic programming, In EWRI's 3rd
developing nations conference: India 2010 - An International Perspective on
Current & Future State of Water Resources & the Environment, January
5-7, 2010, Chennai, India.
74.
Kashid
S.S., and R. Maity, (2009),
Hydroclimatological Approach for Monthly Basin Scale Streamflow Prediction
using Genetic Programming, AIAWRM-02, 4th Indian International Conference on
Artificial Intelligence (IICAI-09), December 16-18, 2009, Tumkur, India.
75.
Kashid
S.S., and R. Maity, (2009), Analysis
of basin-scale streamflow variation using local and global climatic
inputs, In the Proceedings of the
workshop entitled Development and Application of Advanced Soft Computing
Techniques in Multidimensional Geospatial Data Analysis, 15-16
October, 2009, IIT Kanpur, Invited paper.
76.
Maity R.,
and D. Nagesh Kumar, (2009), Rainfall-runoff modeling using system concept of
watershed characteristics, In the Proceedings of An International Perspective on Environmental and
Water Resources, EWRI, ASCE, 5-7 January 2009, Bangkok, Thailand.
77.
Maity R.,
and D. Nagesh Kumar, (2009), Uncertainty Quantification for Hydrologic Models
using Copula, In the Proceedings of
International Conference on Water, Environment, Energy and Society
(WEES-2007), New Delhi, India.
78.
Maity R., S. S. Kashid, and A. Bhatnagar, (2008), Hydrometeorological
modeling approachesusing support vector regression and genetic programming, In the Proceeding of the
Brainstorming Workshop on Application of Advanced Soft Computing Techniques in
Geo-Spatial Data Analysis, September 22-23, 2008, IIT Bombay, Mumbai, pp. 185-195, Invited paper.
79.
Maity R.,
(2007), An Introduction to
climate forcing on hydrologic variables, In the Proceedings of the national
conference on Hydraulics and Water Resources, HYDRO - 2007, Organized by SVNIT,
Surat, and Indian Society for Hydraulics, December 21 - 22, 2007, pp. 40 - 46.
80.
Maity R.,
and D. Nagesh Kumar, (2007), Bayesian dynamic linear modeling for streamflow forecasting using large-scale
atmospheric circulations, In
the Proceedings of International Conference on Civil Engineering in the
New Millennium: Opportunities and Challenges (CENeM-2007), January
11-14, 2007, 150- year anniversary conference at Bengal Engineering and Science
University, Shibpur, Howrah, West Bengal, India, Vol. IV, pp. 2736-2744, Invited Paper.
81.
Maity R.,
and D. Nagesh Kumar, (2006),
Artificial Neural Network
approach for hydroclimatic streamflow
forecasting in India using ENSO and EQUINOO, In the Proceedings of World Environmental and Water Resources Congress, EWRI, ASCE, Omaha, Nebraska, USA.
82.
Nagesh
Kumar D., M. Janga Reddy and
R. Maity, (2005), Regional Rainfall Forecasting
using Large Scale Climate Teleconnections and Evolutionary Algorithms, In the Proceedings
of 2nd Indian International Conference on Artificial Intelligence,
WR 105, Pune, India, pp. 1169 - 1182.
83.
Nagesh Kumar D., and R. Maity, (2004), Analysis of Orissa rainfall with sea
surface temperature anomaly by
similarity search technique, In the Proceedings of Prediction in Ungauged Basin
for Sustainable Water Resources Planning and Management (PUBSWRPM-2004),
BITS, Pilani, India, pp.7 – 15, Invited
Paper.
Last Updated: February,
2024