Intro
Preface
Acknowledgements
Contents
About the Editors
Temporal Networks: A New Approach to Model Non-stationary Hydroclimatic Processes with a Demonstration for Soil Moisture Prediction
1 Introduction
2 Methodological Approach in Temporal Networks
3 Application of the Temporal Network-Based Approach
3.1 Study Area and Data Source
3.2 Model Performance and Discussion
4 Concluding Remarks
References
Downscaling of GCM Output Using Deep Learning Techniques
1 Introduction
2 Study Area and Datasets
2.1 Mahanadi Basin

2.2 NCEP Reanalysis Datasets
2.3 Predictors Selection for Precipitation Prediction
2.4 APHRODITE Datasets
3 Methodologies
3.1 Deep Neural Network (DNN)
3.2 Convolutional Neural Network (CNN)
3.3 2D CNN
3.4 3D CNN
3.5 Hybrid Deep Neural Network (Hybrid-DNN)
3.6 Performance Evaluation Metrics
4 Results and Discussion
5 Conclusions
References
Application of TVDM in Modeling the Observed Precipitation Over Godavari River Basin, India
1 Introduction
2 Study Area and Data Source
2.1 Godavari River Basin
2.2 Data Used

2.3 Canadian Earth System Model-Version2 (CanESM2)
3 Methodology
3.1 Time-Varying Downscaling Model (TVDM)
4 Results and Discussions
5 Conclusions
References
Assessment of Kernel Regression Based Statistically Downscaled Rainfall Over Tapi River Basin, India
1 Introduction
2 Study Area and Data Source
2.1 Tapi River Basin
2.2 Data Used
3 Results and Discussions
3.1 Rainfall Characteristics
3.2 Sub-Basin Wise Rainfall Distribution
4 Conclusions
References

Analysis of Uncertainty Due to Climate Change Using REA Approach in Different Regions of Western Ghats, South India
1 Introduction
2 Study Area
3 Material and Methods
4 Results and Discussion
4.1 REA Weighted Ensemble and Uncertainty Estimation Grid Wise
4.2 River Basin Scale REA
5 Conclusions
References
Assessment of Temperature for Future Time Series Over Lower Godavari Sub-Basin, Maharashtra State, India
1 Introduction
2 Materials and Method
2.1 Downscaling
2.2 Study Area and Data Source
3 Results and Discussions

3.1 Calibration and Validation of the Model
4 Conclusions
References
Projection of Daily Rainfall States Over Tapi Basin Using CMIP5 and CMIP6-Based Global Climate Model
1 Introduction
2 Material and Methods
2.1 Study Area
2.2 Data Used
2.3 Methodology
3 Results and Analysis
4 Conclusions
References
Assessment of Precipitation Extremes in Northeast India Under CMIP5 Models
1 Introduction
2 Study Area and Data Collection
2.1 Study Area
2.2 Data Collection
2.3 Calculated Values of EPIs
3 Results and Discussion