Earth Science Modeling | Physically-Based versus Statistical Models скачать в хорошем качестве

Earth Science Modeling | Physically-Based versus Statistical Models

We'll explore the two dominant types of models used in the earth sciences. Physically-based models lean on laws of physics and thermodynamics to create a series of equations that reproduces aspects of earth's processes. We can use these models to make useful forecasts. Statistical models are fast and flexible, and can be used to find new processes or develop simplistic representations of systems; however, they require substantial data to train and test. In this video we will explore how three different problems of increasingly complexity can be modeled with physically-based models, process-based models, and statistical models. 0:00 Introduction 1:38 Model Intercomparison 1 - Ball Bouncing on a Rigid Surface 4:21 Model Intercomparison 2 - Rainfall-Runoff Partitioning 7:35 Model Intercomparison 3 - The Soil-Plant-Air Continuum #earthscience #statisticalmodeling #computermodel #hydrologicmodel #ecosystemscience #ecosystemmodel #researchmethodology #experimentaldesign #dataanalysis #rstudio #rstats #dataanalyst #outdoorscience #hydrologycode #RStudio #SpatialAnalysis #USGS #MoranI #WaterQuality #DataScience #RProgramming #Geostatistics #gis #watersensor #datascience #spatialdata #waterchemistry #spatialdata #streams #howtoanalyzeenvironmentaldata #besttoolsfordataanalysis #dataanalyticsforenvironment