Introduction | Monte Carlo Experiments | Monte Carlo Experiment 1 (trend-free rainfall series) | Monte Carlo Experiment 2 (super-imposed trend) | Case Studies Applications | Case Study 1 -- Oxford Rainfall | Analyse Data Looking for Changes | Interpreting the Output Data Fields from the “Oxford.Changes” | $model.selection | $Statistics | Key Observations: | $Changes.Freq.Drought | Summary: | Interpreting the Output Data Fields from the “Oxford.Changes.linear” | $Statistics and $Changes.Freq.Drought | Case Study 2 - Brazil Drought Events | Aggregating daily data into a specified time scale: | Applying the SPIChanges::SPIChanges() for entire Brazil | Assessing changes in severe to moderate drought events | References

Introduction | Getting Started | Data | Function TSaggreg() | Arguments | Value | Example 1 | Function SPIChanges() | Usage | Example 2 | Example 3

Introduction | Getting Started | Using ETO_PM() to calculate daily amounts of reference evapotranspiration | Step 1: Applying ETO_PM() in Campinas-SP, Brazil | Step 2: Applying ETO_PT() and ET0_HS() in Campinas-SP, Brazil | Step 3: The Crop Water Balance Accounting. Applying InitialD() and CWB() in Campinas-SP, Brazil | References

Introduction | Basic Instructions: Getting Started | Using PlotData() to visually inspect NASA-POWER data | Example 1: Inspecting indices' input for Campinas-SP, Brazil | ScientSDI(): Replacing suspicious data and calculating the distributions' parameters | Example 2: Applying the ScientSDI() function for Campinas-SP, Brazil | Accuracy(): Verifying how well NASA-POWER data actually represent real-world/observed data | Example 3: Applying the Accuracy function to compare observed (obs) and NASA-POWER PE data in Campinas-SP, Brazil | OperatSDI(): Generating routine operational NASA-SPI and NASA-SPEI estimates | Example 4: Applying the OperatSDI function to calculate the SPI and SPEI in Campinas-SP, Brazil | Not So Basic Instructions: | The ScientSDI() function: Removing suspicious data and assessing the indices' conceptual assumptions | Example 5.1: Applying the ScientSDI() function with the GEV and verifying conceptual assumptions (Campinas-SP). | Example 5.2: Applying the ScientSDI() function with the GLO and verifying conceptual assumptions (Campinas-SP). | The Accuracy() function: Applying the Accuracy function and calculating confidence intervals. | Example 6: Applying the Accuracy function and calculating confidence intervals (Campinas-SP). | References