For drought analysis, ArcGIS is used for mapping and spatial analysis, and Python code is used to process, analyze, and model drought data.

For drought modeling, I suggest SWAT (Soil and Water Assessment Tool) and WPS (Weather and Climate Models).

Analyzing and modelling drought involves various software tools and platforms, depending on the specific aspects of drought you are studying (e.g., meteorological, hydrological, or agricultural). Here’s a list of commonly used software for different drought analysis and modelling tasks:

1. Geographic Information Systems (GIS) Software

• ArcGIS: Widely used for spatial analysis and mapping. ArcGIS can be used to analyze drought impacts on land use, vegetation, and water resources.
• QGIS: An open-source GIS software that offers similar capabilities to ArcGIS for spatial data analysis and visualization.

2. Remote Sensing and Earth Observation Software

• ERDAS IMAGINE: Used for processing satellite and aerial imagery to monitor drought conditions and land cover changes.
• ENVI: Software for processing and analyzing remote sensing data, including vegetation indices that can indicate drought stress.

3. Hydrological and Meteorological Modeling Tools

• SWAT (Soil and Water Assessment Tool): A widely used hydrological model to simulate the impacts of land management practices on water, sediment, and agricultural chemical yields in large watersheds.
• HEC-HMS (Hydrologic Modeling System): Developed by the U.S. Army Corps of Engineers for simulating the precipitation-runoff processes of dendritic watershed systems.
• WBM (Watershed Budget Model): Used for hydrological simulations and drought analysis at watershed scales.

4. Climate and Weather Modeling Software

• WRF (Weather Research and Forecasting Model): A numerical weather prediction system that simulates and predicts weather and climate, including drought conditions.
• CLIMAP: A climate model that can be used to understand historical and future drought scenarios based on climate data.

5. Statistical and Data Analysis Software

• R: A powerful statistical computing and graphics language that includes packages for analyzing climatic data and modelling drought impacts (e.g., drought package, climate package).
• MATLAB: Used for numerical computing and can be applied to analyze and model drought data with its extensive toolboxes.

6. Drought-Specific Tools

• Drought Monitor: This website provides maps and data on drought conditions in various regions. Tools and data are available through the U.S. Drought Monitor and similar platforms in other countries.
• VIC (Variable Infiltration Capacity) Model: A land surface model used to simulate hydrological processes and drought impacts on water availability.

7. Integrated Platforms

• Google Earth Engine: A cloud-based platform for large-scale geospatial analysis, including drought monitoring and assessment using satellite imagery and remote sensing data.

8. Data Management and Visualization

• Tableau: Visualizing drought data and trends helps present complex datasets in an understandable format.
• Excel: While not as specialized, it is frequently used for data management and preliminary analysis.

Summary

The choice of software depends on the specific needs of your drought analysis or modelling, including the scale of your study (local, regional, global), the type of data you are working with (satellite, climate models, hydrological data), and your analytical goals.