All Stories

  1. Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning
  2. Hydrological Alterations under Climate Change
  3. Changes in the spatial variability of extreme precipitation characteristics across Peninsular India
  4. Coastal vulnerability considering combined effect of tropical cyclones and future sea level rise
  5. Modeling climate change impacts on vector-borne disease using machine learning models: Case study of Visceral leishmaniasis (Kala-azar) from Indian state of Bihar
  6. Development of a Long-Range Hydrological Drought Prediction Framework Using Deep Learning
  7. Unveiling climate change‐induced temperature‐based hotspots across India through multimodel future analysis from CMIP6
  8. Investigating Spatio-Temporal Trends and Anomalies in Long-Term Meteorological Variables to Determine If Maharashtra is an Emerging Warming State in India
  9. Assessing the Potential of AI–ML in Urban Climate Change Adaptation and Sustainable Development
  10. Unveiling an environmental drought Index and its applicability in the perspective of drought recognition amidst climate change
  11. Population Exposure to Compound Precipitation-Temperature Extremes in the Past and Future Climate across India
  12. Impacts of hydrometeorological factors on discharge simulation in the North West Himalayas: a SUFI-2 algorithm-driven investigation using the SWAT model
  13. Climate change may cause oasification or desertification both: an analysis based on the spatio-temporal change in aridity across India
  14. Future projection of climate extremes across contiguous northeast India and Bangladesh
  15. Effect of climate change on soil erosion indicates a dominance of rainfall over LULC changes
  16. Uniqueness of India's Northeast with respect to climate change impact: an assessment of streamflow variation in the Gomati River basin
  17. Artificial intelligence/machine learning techniques in hydroclimatology: A demonstration of deep learning for future assessment of stream flow under climate change
  18. Changing Pattern of Intensity–Duration–Frequency Relationship of Precipitation due to Climate Change
  19. Multi-site hydrometeorological simulation of streamflow for upper Jhelum basin in northwest Himalayas using HEC–HMS soil moisture accounting algorithm
  20. Future Characteristics of Extreme Precipitation Indicate the Dominance of Frequency Over Intensity: A Multi‐Model Assessment From CMIP6 Across India
  21. Hybrid deep learning approach for multi-step-ahead prediction for daily maximum temperature and heatwaves
  22. Value addition in coupled model intercomparison project phase 6 over phase 5: global perspectives of precipitation, temperature and soil moisture fields
  23. Future of solar energy potential in a changing climate across the world: A CMIP6 multi-model ensemble analysis
  24. Assessing Global-Scale Synergy Between Adaptation, Mitigation, and Sustainable Development for Projected Climate Change
  25. Demystifying artificial intelligence amidst sustainable agricultural water management
  26. Statistical Methods in Hydrology and Hydroclimatology
  27. Changing spectral patterns of long‐term drought propensity in Iran through reliability–resilience–vulnerability‐based Drought Management Index
  28. Time-varying network-based approach for capturing hydrological extremes under climate change with application on drought
  29. Short and Medium Range Forecast of Soil Moisture for the Different Climatic Regions of India Using Temporal Networks
  30. Assimilation of remote sensing based surface soil moisture to develop a spatially varying vertical soil moisture profile database for entire Indian mainland
  31. Revealing alarming changes in spatial coverage of joint hot and wet extremes across India
  32. Long-term simulation of daily rainfall across India: Performance of cumulus convection schemes in regional climate model during southwest and northeast monsoon
  33. Benefit of time-varying downscaling model for the assessment of urban temperature rise
  34. Global climate shift in 1970s causes a significant worldwide increase in precipitation extremes
  35. Potential of Deep Learning in drought assessment by extracting information from hydrometeorological precursors
  36. Precipitation of Mainland India: Copula‐based bias‐corrected daily CORDEX climate data for both mean and extreme values
  37. Assessment of basin-wise future agricultural drought status across India under changing climate
  38. Future Changes in extreme precipitation over South Asia and its causes
  39. Benefit of Time-Varying Models Developed Using Graphical Modeling Approach for Probabilistic Prediction of Monthly Streamflow
  40. Time-Varying Downscaling Model (TVDM) and its Benefit to Capture Extreme Rainfall
  41. Identification of potential causal variables for statistical downscaling models: effectiveness of graphical modeling approach
  42. How far the CORDEX high-resolution data represents observed precipitation: an analysis across Indian mainland
  43. Temporal Networks‐Based Approach for Nonstationary Hydroclimatic Modeling and its Demonstration With Streamflow Prediction
  44. High-resolution one-day probable maximum precipitation dataset across India and its future-projected changes over India
  45. Increase in probable maximum precipitation in a changing climate over India
  46. Southward shift of precipitation extremes over south Asia: Evidences from CORDEX data
  47. Spatial variation in long‐lead predictability of summer monsoon rainfall using a time‐varying model and global climatic indices
  48. How dissimilar are the large-scale hydroclimatic precursors and predictability of anomalous monthly rainfall in east and west Japan?
  49. How useful are CORDEX products for the assessment of future agricultural drought propensity across the Indian subcontinent?
  50. Modeling of Basin Scale Hydro-meteorological association by Hybrid Wavelet-ARX approach
  51. Spatially-Varying Statistical Soil Moisture Profile Model by Coupling Memory and Forcing using Hydrologic Soil Groups to Estimate Vertical Soil Moisture Profile
  52. Assessment of Extreme Precipitation in Future through Time-Invariant and Time-Varying Downscaling Approaches
  53. Long-lead Prediction of ENSO Modoki Index using Machine Learning algorithms
  54. Contrasting features of hydroclimatic teleconnections and the predictability of seasonal rainfall over east and west Japan
  55. Estimation of Probable Maximum Precipitation in the context of climate change
  56. Hybrid Deep Learning Approach for Multi-Step-Ahead Daily Rainfall Prediction Using GCM Simulations
  57. Hybrid Wavelet-ARX approach for modeling association between rainfall and meteorological forcings at river basin scale
  58. Spectral Wave Characteristics over the Head Bay of Bengal: A Modeling Study
  59. Temporal evolution of precipitation-based climate change indices across India: contrast between pre- and post-1975 features
  60. Soil Moisture Retrieval Using Quad-Polarized SAR Data from Radar Imaging Satellite 1 (RISAT1) Through Artificial Intelligence-Based Soft Computing Techniques
  61. Measuring near‐saturated hydraulic conductivity of soils by quasi unit‐gradient percolation—2. Application of the methodology
  62. Measuring near‐saturated hydraulic conductivity of soils by quasi unit‐gradient percolation—1. Theory and numerical analysis
  63. Bias Correction of Zero-Inflated RCM Precipitation Fields: A Copula-Based Scheme for Both Mean and Extreme Conditions
  64. Development of a spatially-varying Statistical Soil Moisture Profile model by coupling memory and forcing using hydrologic soil groups
  65. Assessment of Streamflow Variability with Upgraded HydroClimatic Conceptual Streamflow Model
  66. Predictability of Hydrological Systems Using the Wavelet Transformation: Application to Drought Prediction
  67. Temporal evolution of hydroclimatic teleconnection and a time-varying model for long-lead prediction of Indian summer monsoon rainfall
  68. Development of a time‐varying downscaling model considering non‐stationarity using a Bayesian approach
  69. Basic Concepts of Probability and Statistics
  70. Basic Statistical Properties of Data
  71. Frequency Analysis, Risk, and Uncertainty in Hydroclimatic Analysis
  72. Hypothesis Testing and Nonparametric Test
  73. Multivariate Analysis
  74. Probability Distributions and Their Applications
  75. Regression Analysis and Curve Fitting
  76. Statistical Methods in Hydrology and Hydroclimatology
  77. Introduction
  78. Theory of Copula in Hydrology and Hydroclimatology
  79. Time Series Analysis
  80. Modeling of local sea level rise and its future projection under climate change using regional information through EOF analysis
  81. Global Climate Pattern Behind Hydrological Extremes in Central India
  82. Satellite-Based Probabilistic Assessment of Soil Moisture Using C-Band Quad-Polarized RISAT1 Data
  83. Assessment of Trend in Global Drought Propensity in the Twenty-First Century Using Drought Management Index
  84. 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
  85. Spatio-temporal downscaling of projected precipitation in the 21st century: indication of a wetter monsoon over the Upper Mahanadi Basin, India
  86. Hydroclimatic modelling of local sea level rise and its projection in future
  87. Drought prediction using a wavelet based approach to model the temporal consequences of different types of droughts
  88. Closure to “Meteorological Drought Quantification with Standardized Precipitation Anomaly Index for the Regions with Strongly Seasonal and Periodic Precipitation” by Kironmala Chanda and Rajib Maity
  89. Uncovering global climate fields causing local precipitation extremes
  90. Statistical Modelling of Vertical Soil Moisture Profile: Coupling of Memory and Forcing
  91. Meteorological Drought Quantification with Standardized Precipitation Anomaly Index for the Regions with Strongly Seasonal and Periodic Precipitation
  92. Do CMIP5 models hint at a warmer and wetter India in the 21st century?
  93. Alternative Approach for Estimation of Precipitation Using Doppler Weather Radar Data
  94. A hydrometeorological approach for probabilistic simulation of monthly soil moisture under bare and crop land conditions
  95. Potential of Probabilistic Hydrometeorological Approach for Precipitation-Based Soil Moisture Estimation
  96. Potential of Genetic Programming in Hydroclimatic Prediction of Droughts: An Indian Perspective
  97. Predictor selection for streamflows using a graphical modeling approach
  98. Spatiotemporal variation of long-term drought propensity through reliability-resilience-vulnerability based Drought Management Index
  99. Reply to the “Discussion by Haddad et al. on ‘Hydroclimatic stream flow prediction using least square-support vector regression’ by Bhagwat and Maity (2013)”
  100. On the Application of Probabilistic Hydrometeorological Simulation of Soil Moisture across Different Stations in India
  101. Development of HydroClimatic Conceptual Streamflow (HCCS) model for tropical river basin
  102. Hydroclimatic streamflow prediction using Least Square-Support Vector Regression
  103. Probabilistic simulation of surface soil moisture using hydrometeorological inputs
  104. Characterizing Drought Using the Reliability-Resilience-Vulnerability Concept
  105. Identification of hydrologic drought triggers from hydroclimatic predictor variables
  106. Prediction of monthly rainfall on homogeneous monsoon regions of India based on large scale circulation patterns using Genetic Programming
  107. Probabilistic assessment of one-step-ahead rainfall variation by Split Markov Process
  108. Multistep-ahead River Flow Prediction using LS-SVR at Daily Scale
  109. Importance analysis of local and global climate inputs for basin-scale streamflow prediction
  110. Streamflow prediction using multi-site rainfall obtained from hydroclimatic teleconnection
  111. Short-Term Basin-Scale Streamflow Forecasting Using Large-Scale Coupled Atmospheric–Oceanic Circulation and Local Outgoing Longwave Radiation
  112. Potential of support vector regression for prediction of monthly streamflow using endogenous property
  113. Hydroclimatic influence of large-scale circulation on the variability of reservoir inflow
  114. HYDROCLIMATOLOGICAL APPROACH FOR MONTHLY STREAMFLOW PREDICTION USING GENETIC PROGRAMMING
  115. HYDROMETEROLOGICAL MODELING APPROACHES USING SUPPORT VECTOR REGRESSION (SVR) AND GENETIC PROGRAMMING (GP)
  116. Bayesian dynamic modelling for nonstationary hydroclimatic time series forecasting along with uncertainty quantification
  117. Probabilistic prediction of hydroclimatic variables with nonparametric quantification of uncertainty
  118. Basin-scale stream-flow forecasting using the information of large-scale atmospheric circulation phenomena
  119. REVIEW OF HYDROCLIMATIC TELECONNECTION BETWEEN HYDROLOGIC VARIABLES AND LARGE-SCALE ATMOSPHERIC CIRCULATION PATTERNS WITH INDIAN PERSPECTIVE
  120. Regional Rainfall Forecasting using Large Scale Climate Teleconnections and Artificial Intelligence Techniques
  121. Hydroclimatic teleconnection between global sea surface temperature and rainfall over India at subdivisional monthly scale
  122. Artificial Neural Network Approach for Streamflow Forecasting in India Using ENSO and EQUINOO
  123. Hydroclimatic association of the monthly summer monsoon rainfall over India with large-scale atmospheric circulations from tropical Pacific Ocean and the Indian Ocean region
  124. Bayesian dynamic modeling for monthly Indian summer monsoon rainfall using El Niño–Southern Oscillation (ENSO) and Equatorial Indian Ocean Oscillation (EQUINOO)
  125. STATISTICAL TABLES