Research Scholar in Physical Oceanography at CSIR-NIO, Goa
Describe the data sources (e.g., satellite data, in-situ measurements) and their characteristics (resolution, temporal coverage).
Outline any preprocessing steps such as data cleaning, quality control, and format conversion (e.g., NetCDF to CSV).
Present summary statistics, histograms, and other visualizations to explore the characteristics of your data.
Identify any trends, anomalies, or patterns.
Detail the statistical methods used (e.g., regression analysis, time series analysis).
Interpret results and discuss their significance in the context of oceanographic processes.
Utilize geographic data analysis tools (e.g., xarray, cartopy) to analyze spatial patterns.
Create maps and visualizations to illustrate spatial relationships.
Analyze temporal trends and variability in oceanographic parameters over time.
Use time series analysis techniques to identify cycles or long-term changes.
Describe any numerical models or simulations used to complement your analysis.
Compare model outputs with observational data and discuss model validation.