Revisiting the Applicability of the Iribarren Criteria to Tsunamis
Safety & HazardsThe Iribarren number, also known as the surf similarity parameter, is a dimensionless parameter used to describe the interaction between waves and beaches. The Iribarren Criteria, based on this number, is a widely used guideline for determining whether waves break as spilling or plunging waves. This criterion has been used extensively in coastal engineering to
Mysterious Circular Radar Anomalies Baffle Earth Scientists
Weather & ForecastsRadar has been an important tool for meteorologists and atmospheric scientists for many years. It allows them to observe weather patterns and atmospheric conditions that are not visible to the naked eye. In recent years, however, there have been reports of strange circular beams appearing on radar that cannot be easily explained. These anomalies have
Island Hopping: Using Coastline and Border Shapes to Guess Regions of the World in Worldle
Outdoor GearWorldle is a popular game that allows players to test their knowledge of geography by guessing the location of a country or region based on its outline on a map. One of the most challenging aspects of the game is identifying islands or smaller regions that are not easily recognizable. However, by using the shape
Milankovitch Analysis: Unraveling the Earth’s Climate History through Orbital Models
Modeling & PredictionThe study of Earth’s climate history is a fascinating and complex field that has been the subject of research for many decades. Scientists have developed various models and theories to explain the changes in climate that have occurred over time, and one of the most important of these is the Milankovitch analysis. This analysis is
Optimizing Interpolation of Weather Station Data Using External Parameters: A Comprehensive Analysis
Data & AnalysisWeather station data is an essential component of accurate weather forecasting and climate modeling. However, weather stations are typically located at fixed sites, which can result in missing data points and incomplete data sets. To address this issue, interpolation techniques are used to estimate missing data points based on available data. Interpolation is the process