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Calculating Kinetic Energy Spectra from Ocean Current Time Series using MATLAB
Software & ProgrammingDecoding Ocean Currents: How to Calculate Kinetic Energy Spectra with MATLAB (Without Drowning in Data) Ocean currents: they’re not just pretty blue swirls on a map. They’re the lifeblood of our planet, moving heat, shuttling nutrients, and generally making sure the Earth doesn’t turn into a frozen wasteland or a boiling cauldron. Understanding them is
Posted on May 27, 2024 (Updated on July 11, 2025)
Сorrect way to calculate transport through a section in an ocean numerical model
Software & ProgrammingIntroduction to transport calculations in ocean models Numerical ocean models are powerful tools for understanding the complex dynamics of the world’s oceans. A critical aspect of these models is the accurate calculation of transport through different sections of the domain being modeled. Transport, which represents the movement of water, heat, and other properties, is a
Posted on May 27, 2024 (Updated on July 9, 2025)
Visualizing Wind Patterns in Python Without U and V Components
Software & ProgrammingHere is a draft article on “Plotting wind barbs in Python (no U,V component)”: Introduction to Wind Bar Plotting in Python Wind data is a critical component of many earth science applications, from weather forecasting to wind energy analysis. While vector wind data (with U and V components) is the most common format, there are
Posted on May 25, 2024 (Updated on July 9, 2025)
Automating Conversion of GrADS GRD Files to NetCDF Format: A Step-by-Step Guide
Software & ProgrammingIntroduction to GrADS .ctl files and batch conversion As an expert in geoscience data analysis and visualization, I’m pleased to share my knowledge on the effective use of GrADS (Grid Analysis and Display System) for batch conversion of grid (.grd) files to NetCDF (.nc) format. GrADS is a powerful tool widely used in the geoscience
Posted on May 24, 2024 (Updated on July 9, 2025)
Overcoming Memory Constraints: Efficient Interpolation and Extrapolation of Unstructured Geospatial Data in Python
Software & ProgrammingIntroduction to interpolation and extrapolation of unstructured data in Python Interpolation and extrapolation are fundamental techniques for analyzing unstructured data, which is commonly encountered in geoscience applications. Unstructured data refers to data that does not have a predefined format or structure, making it difficult to analyze and extract meaningful insights. Python, with its rich ecosystem
Posted on May 21, 2024 (Updated on July 9, 2025)
Effortless Netcdf Generation: Creating a File Filled with Zeros
Software & ProgrammingIntroduction to generating NetCDF files filled with zeros In the geosciences, the Network Common Data Form (NetCDF) file format has become an essential tool for managing and analyzing large-scale geospatial data. These files are capable of storing multidimensional arrays of data, making them particularly useful for representing various environmental variables, such as temperature, precipitation, or