Posted on July 19, 2023 (Updated on July 9, 2025)
Visualizing Air Pollution Models with Folium/Leaflet Tiles in Python
Software & ProgrammingAir pollution is a significant problem worldwide, with adverse effects on the environment and public health. Air pollution modeling is a technique used to predict air pollution levels in a given area. It helps policy makers and environmentalists make informed decisions about how to reduce air pollution levels. In this article we will explore how
Posted on June 3, 2023 (Updated on July 9, 2025)
Calculating Ocean Heat Content using Python: An Earth Science Guide
Software & ProgrammingMeasuring and monitoring ocean heat content is critical to understanding the Earth’s climate system and how it changes over time. Ocean heat content (OHC) refers to the amount of heat stored in the ocean, and it plays an important role in the Earth’s climate system. In this article, we will discuss the basics of OHC
Posted on June 3, 2023 (Updated on July 9, 2025)
Optimizing Spatial Extrema Detection in 2-D Netcdf Fields for Earth Science Analysis
Software & ProgrammingThe task of finding spatial extrema (minimum and maximum values) in a 2-D space-time netcdf field is a common problem in Earth science analysis. This is because many scientific variables, such as temperature, pressure, and precipitation, are often represented as 2-D space-time fields in the netcdf format. Finding the spatial extrema of such variables is
Posted on June 3, 2023 (Updated on July 9, 2025)
Converting CORDEX NetCDF Data for Import into DHI Mike: A Step-by-Step Guide
Software & ProgrammingClimate data are an essential component of Earth science research. The Coordinated Regional Climate Downscaling Experiment (CORDEX) is a global initiative to produce high-resolution regional climate change projections. CORDEX data are stored in the NetCDF format, which is widely used in Earth science research. DHI Mike is a powerful modeling software for water resources management
Posted on June 2, 2023 (Updated on July 9, 2025)
Improving Climate Model Projections using Empirical Quantile Mapping in R
Software & ProgrammingEmpirical Quantile Mapping is a statistical technique used in climate modeling to adjust the output of climate models to match observed climate data. It is widely used in the geosciences to improve the accuracy of climate model projections. The method is based on the idea that climate models are imperfect representations of the real climate
Posted on June 2, 2023 (Updated on July 9, 2025)
Visualizing NEXRAD Data in 3D using Python’s Matplotlib: A Guide for Earth Scientists
Software & ProgrammingNEXRAD, or Next Generation Weather Radar, is a network of high-resolution Doppler radar stations used by the National Weather Service to track weather across the United States. The data collected by these radar stations can be incredibly valuable to meteorologists and climatologists, providing detailed information about the movement and intensity of storm systems. One way