All Stories

  1. A deep learning approach for vertical soil moisture profile estimation using hydrometeorological data
  2. High-resolution agricultural drought hazard mapping using the potential of geospatial data and machine learning approaches
  3. Deep learning reveals future streamflow characteristics change and climate sensitivity
  4. Impacts of the Degree of Heterogeneity on Design Flood Estimates: Region of Influence vs. Fixed Region Approaches
  5. Population exposure to compound climate extremes: global analysis to identify continent wise age group disparities in a warming world
  6. A basin scale future projection of drought characteristics using bias-corrected CMIP6 (MIROC6) model ensemble
  7. Understanding climate change impacts on water resources through a combined vulnerability assessment method
  8. Short-term satellite soil moisture for agricultural drought characterization over Godavari basin, India
  9. From Concept to Comparison: Developing and Validating the Environmental Drought Index (EDI) for Holistic Drought Analysis
  10. Spatial Drought Vulnerability Mapping for Regional Climate Resilience: A study over India’s Northeast including Bangladesh
  11. Association between hydroclimatic factors and vegetation health: Impact of climate change in the past and future
  12. Analysis of Flash Droughts Across Indian Mainland: A Comparison Between CMIP6 Simulations and ERA5 Reanalysis Data
  13. Persistent Oscillations in the Decadal Prediction of Central Mediterranean Wetting and Drying Phases
  14. Synthesising causal loop between environmental and compound droughts: A systems-driven framework for climate-resilient governance in monsoon-sensitive agroecosystems
  15. Towards the Development of a Comprehensive Heatwave Proneness Index and Identification of Hotspots Across Indian Mainland
  16. Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning
  17. Interconnected Climate-Induced Impacts on Water Resources in Geographically Diverse Regions: A Spotlight on Northeast India and Bangladesh
  18. Changing Pattern of Drought Proneness Across Iran
  19. Hydrological Alterations under Climate Change
  20. Changes in the spatial variability of extreme precipitation characteristics across Peninsular India
  21. Coastal vulnerability considering combined effect of tropical cyclones and future sea level rise
  22. Modeling climate change impacts on vector-borne disease using machine learning models: Case study of Visceral leishmaniasis (Kala-azar) from Indian state of Bihar
  23. Development of a Long-Range Hydrological Drought Prediction Framework Using Deep Learning
  24. Unveiling climate change‐induced temperature‐based hotspots across India through multimodel future analysis from CMIP6
  25. Investigating Spatio-Temporal Trends and Anomalies in Long-Term Meteorological Variables to Determine If Maharashtra is an Emerging Warming State in India
  26. Assessing the Potential of AI–ML in Urban Climate Change Adaptation and Sustainable Development
  27. Unveiling an environmental drought Index and its applicability in the perspective of drought recognition amidst climate change
  28. Population Exposure to Compound Precipitation-Temperature Extremes in the Past and Future Climate across India
  29. Impacts of hydrometeorological factors on discharge simulation in the North West Himalayas: a SUFI-2 algorithm-driven investigation using the SWAT model
  30. Climate change may cause oasification or desertification both: an analysis based on the spatio-temporal change in aridity across India
  31. Future projection of climate extremes across contiguous northeast India and Bangladesh
  32. Precipitation-based climate change hotspots across India through a Multi-model assessment from CMIP6
  33. Effect of climate change on soil erosion indicates a dominance of rainfall over LULC changes
  34. Unfolding unique features of precipitation-temperature scaling across India
  35. Uniqueness of India's Northeast with respect to climate change impact: an assessment of streamflow variation in the Gomati River basin
  36. Artificial intelligence/machine learning techniques in hydroclimatology: A demonstration of deep learning for future assessment of stream flow under climate change
  37. Changing Pattern of Intensity–Duration–Frequency Relationship of Precipitation due to Climate Change
  38. Multi-site hydrometeorological simulation of streamflow for upper Jhelum basin in northwest Himalayas using HEC–HMS soil moisture accounting algorithm
  39. Future Characteristics of Extreme Precipitation Indicate the Dominance of Frequency Over Intensity: A Multi‐Model Assessment From CMIP6 Across India
  40. Hybrid deep learning approach for multi-step-ahead prediction for daily maximum temperature and heatwaves
  41. Value addition in coupled model intercomparison project phase 6 over phase 5: global perspectives of precipitation, temperature and soil moisture fields
  42. Future of solar energy potential in a changing climate across the world: A CMIP6 multi-model ensemble analysis
  43. Assessing Global-Scale Synergy Between Adaptation, Mitigation, and Sustainable Development for Projected Climate Change
  44. Demystifying artificial intelligence amidst sustainable agricultural water management
  45. Statistical Methods in Hydrology and Hydroclimatology
  46. Changing spectral patterns of long‐term drought propensity in Iran through reliability–resilience–vulnerability‐based Drought Management Index
  47. Time-varying network-based approach for capturing hydrological extremes under climate change with application on drought
  48. Short and Medium Range Forecast of Soil Moisture for the Different Climatic Regions of India Using Temporal Networks
  49. Assimilation of remote sensing based surface soil moisture to develop a spatially varying vertical soil moisture profile database for entire Indian mainland
  50. Revealing alarming changes in spatial coverage of joint hot and wet extremes across India
  51. Long-term simulation of daily rainfall across India: Performance of cumulus convection schemes in regional climate model during southwest and northeast monsoon
  52. Benefit of time-varying downscaling model for the assessment of urban temperature rise
  53. Global climate shift in 1970s causes a significant worldwide increase in precipitation extremes
  54. Potential of Deep Learning in drought assessment by extracting information from hydrometeorological precursors
  55. Precipitation of Mainland India: Copula‐based bias‐corrected daily CORDEX climate data for both mean and extreme values
  56. Assessment of basin-wise future agricultural drought status across India under changing climate
  57. Future Changes in extreme precipitation over South Asia and its causes
  58. Benefit of Time-Varying Models Developed Using Graphical Modeling Approach for Probabilistic Prediction of Monthly Streamflow
  59. Time-Varying Downscaling Model (TVDM) and its Benefit to Capture Extreme Rainfall
  60. Identification of potential causal variables for statistical downscaling models: effectiveness of graphical modeling approach
  61. How far the CORDEX high-resolution data represents observed precipitation: an analysis across Indian mainland
  62. Temporal Networks‐Based Approach for Nonstationary Hydroclimatic Modeling and its Demonstration With Streamflow Prediction
  63. High-resolution one-day probable maximum precipitation dataset across India and its future-projected changes over India
  64. Increase in probable maximum precipitation in a changing climate over India
  65. Southward shift of precipitation extremes over south Asia: Evidences from CORDEX data
  66. Spatial variation in long‐lead predictability of summer monsoon rainfall using a time‐varying model and global climatic indices
  67. How dissimilar are the large-scale hydroclimatic precursors and predictability of anomalous monthly rainfall in east and west Japan?
  68. How useful are CORDEX products for the assessment of future agricultural drought propensity across the Indian subcontinent?
  69. Modeling of Basin Scale Hydro-meteorological association by Hybrid Wavelet-ARX approach
  70. Spatially-Varying Statistical Soil Moisture Profile Model by Coupling Memory and Forcing using Hydrologic Soil Groups to Estimate Vertical Soil Moisture Profile
  71. Assessment of Extreme Precipitation in Future through Time-Invariant and Time-Varying Downscaling Approaches
  72. Long-lead Prediction of ENSO Modoki Index using Machine Learning algorithms
  73. Contrasting features of hydroclimatic teleconnections and the predictability of seasonal rainfall over east and west Japan
  74. Estimation of Probable Maximum Precipitation in the context of climate change
  75. Hybrid Deep Learning Approach for Multi-Step-Ahead Daily Rainfall Prediction Using GCM Simulations
  76. Hybrid Wavelet-ARX approach for modeling association between rainfall and meteorological forcings at river basin scale
  77. Spectral Wave Characteristics over the Head Bay of Bengal: A Modeling Study
  78. Temporal evolution of precipitation-based climate change indices across India: contrast between pre- and post-1975 features
  79. Soil Moisture Retrieval Using Quad-Polarized SAR Data from Radar Imaging Satellite 1 (RISAT1) Through Artificial Intelligence-Based Soft Computing Techniques
  80. Measuring near‐saturated hydraulic conductivity of soils by quasi unit‐gradient percolation—2. Application of the methodology
  81. Measuring near‐saturated hydraulic conductivity of soils by quasi unit‐gradient percolation—1. Theory and numerical analysis
  82. Bias Correction of Zero-Inflated RCM Precipitation Fields: A Copula-Based Scheme for Both Mean and Extreme Conditions
  83. Development of a spatially-varying Statistical Soil Moisture Profile model by coupling memory and forcing using hydrologic soil groups
  84. Assessment of Streamflow Variability with Upgraded HydroClimatic Conceptual Streamflow Model
  85. Predictability of Hydrological Systems Using the Wavelet Transformation: Application to Drought Prediction
  86. Temporal evolution of hydroclimatic teleconnection and a time-varying model for long-lead prediction of Indian summer monsoon rainfall
  87. Development of a time‐varying downscaling model considering non‐stationarity using a Bayesian approach
  88. Basic Concepts of Probability and Statistics
  89. Basic Statistical Properties of Data
  90. Frequency Analysis, Risk, and Uncertainty in Hydroclimatic Analysis
  91. Hypothesis Testing and Nonparametric Test
  92. Multivariate Analysis
  93. Probability Distributions and Their Applications
  94. Regression Analysis and Curve Fitting
  95. Statistical Methods in Hydrology and Hydroclimatology
  96. Introduction
  97. Theory of Copula in Hydrology and Hydroclimatology
  98. Time Series Analysis
  99. Modeling of local sea level rise and its future projection under climate change using regional information through EOF analysis
  100. Global Climate Pattern Behind Hydrological Extremes in Central India
  101. Satellite-Based Probabilistic Assessment of Soil Moisture Using C-Band Quad-Polarized RISAT1 Data
  102. Assessment of Trend in Global Drought Propensity in the Twenty-First Century Using Drought Management Index
  103. 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
  104. Spatio-temporal downscaling of projected precipitation in the 21st century: indication of a wetter monsoon over the Upper Mahanadi Basin, India
  105. Hydroclimatic modelling of local sea level rise and its projection in future
  106. Drought prediction using a wavelet based approach to model the temporal consequences of different types of droughts
  107. 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
  108. Uncovering global climate fields causing local precipitation extremes
  109. Statistical Modelling of Vertical Soil Moisture Profile: Coupling of Memory and Forcing
  110. Meteorological Drought Quantification with Standardized Precipitation Anomaly Index for the Regions with Strongly Seasonal and Periodic Precipitation
  111. Do CMIP5 models hint at a warmer and wetter India in the 21st century?
  112. Alternative Approach for Estimation of Precipitation Using Doppler Weather Radar Data
  113. A hydrometeorological approach for probabilistic simulation of monthly soil moisture under bare and crop land conditions
  114. Potential of Probabilistic Hydrometeorological Approach for Precipitation-Based Soil Moisture Estimation
  115. Potential of Genetic Programming in Hydroclimatic Prediction of Droughts: An Indian Perspective
  116. Predictor selection for streamflows using a graphical modeling approach
  117. Spatiotemporal variation of long-term drought propensity through reliability-resilience-vulnerability based Drought Management Index
  118. Reply to the “Discussion by Haddad et al. on ‘Hydroclimatic stream flow prediction using least square-support vector regression’ by Bhagwat and Maity (2013)”
  119. On the Application of Probabilistic Hydrometeorological Simulation of Soil Moisture across Different Stations in India
  120. Development of HydroClimatic Conceptual Streamflow (HCCS) model for tropical river basin
  121. Hydroclimatic streamflow prediction using Least Square-Support Vector Regression
  122. Probabilistic simulation of surface soil moisture using hydrometeorological inputs
  123. Characterizing Drought Using the Reliability-Resilience-Vulnerability Concept
  124. Identification of hydrologic drought triggers from hydroclimatic predictor variables
  125. Prediction of monthly rainfall on homogeneous monsoon regions of India based on large scale circulation patterns using Genetic Programming
  126. Probabilistic assessment of one-step-ahead rainfall variation by Split Markov Process
  127. Multistep-ahead River Flow Prediction using LS-SVR at Daily Scale
  128. Importance analysis of local and global climate inputs for basin-scale streamflow prediction
  129. Streamflow prediction using multi-site rainfall obtained from hydroclimatic teleconnection
  130. Short-Term Basin-Scale Streamflow Forecasting Using Large-Scale Coupled Atmospheric–Oceanic Circulation and Local Outgoing Longwave Radiation
  131. Potential of support vector regression for prediction of monthly streamflow using endogenous property
  132. Hydroclimatic influence of large-scale circulation on the variability of reservoir inflow
  133. HYDROCLIMATOLOGICAL APPROACH FOR MONTHLY STREAMFLOW PREDICTION USING GENETIC PROGRAMMING
  134. HYDROMETEROLOGICAL MODELING APPROACHES USING SUPPORT VECTOR REGRESSION (SVR) AND GENETIC PROGRAMMING (GP)
  135. Bayesian dynamic modelling for nonstationary hydroclimatic time series forecasting along with uncertainty quantification
  136. Probabilistic prediction of hydroclimatic variables with nonparametric quantification of uncertainty
  137. Basin-scale stream-flow forecasting using the information of large-scale atmospheric circulation phenomena
  138. REVIEW OF HYDROCLIMATIC TELECONNECTION BETWEEN HYDROLOGIC VARIABLES AND LARGE-SCALE ATMOSPHERIC CIRCULATION PATTERNS WITH INDIAN PERSPECTIVE
  139. Regional Rainfall Forecasting using Large Scale Climate Teleconnections and Artificial Intelligence Techniques
  140. Hydroclimatic teleconnection between global sea surface temperature and rainfall over India at subdivisional monthly scale
  141. Artificial Neural Network Approach for Streamflow Forecasting in India Using ENSO and EQUINOO
  142. Hydroclimatic association of the monthly summer monsoon rainfall over India with large-scale atmospheric circulations from tropical Pacific Ocean and the Indian Ocean region
  143. Bayesian dynamic modeling for monthly Indian summer monsoon rainfall using El Niño–Southern Oscillation (ENSO) and Equatorial Indian Ocean Oscillation (EQUINOO)
  144. STATISTICAL TABLES