This undergraduate meteorology tutorial from Texas A&M University describes the common sources of weather forecasting computer model error, ways to identify model error, and how to correct a forecast for some simple types of error. Model sensitivity to parameterization and topography are covered. Educational levels: High school, Undergraduate lower division
Numerical models are a necessary tool for weather analysis and forecasting. But an important questio...
Operational forecasting is hampered both by the rapid divergence of nearby initial conditions and by...
Estimating errors is a crucial part of any scientific analysis. Whenever a parameter is estimated (m...
This undergraduate meteorology tutorial from Texas A&M University focuses on computer models that ar...
This undergraduate meteorology tutorial from Texas A&M University introduces the recommended procedu...
This paper investigates the nature of model error in complex deterministic nonlinear systems such as...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Meteorology, 1962.Includes bibliograp...
A series of experiments that explore the roles of model and initial condition error in numerical wea...
This undergraduate meteorology tutorial discusses how meteorologists use the concepts of air masses ...
Weather Forecasting is a set of computer-based learning modules that teach students about meteorolog...
The Fifth Workshop on Systematic Errors in Weather and Climate Models (WSE) was hosted by Environmen...
It is often easy to see when an atmospheric model disagrees with data. It is usually much harder to ...
The Fifth Workshop on Systematic Errors in Weather and Climate Models (WSE) was hosted by Environmen...
This paper addresses a procedure to extract error estimates for the physical and dynamical component...
This page addresses some common misperceptions in the field of meteorology that are often perpetuate...
Numerical models are a necessary tool for weather analysis and forecasting. But an important questio...
Operational forecasting is hampered both by the rapid divergence of nearby initial conditions and by...
Estimating errors is a crucial part of any scientific analysis. Whenever a parameter is estimated (m...
This undergraduate meteorology tutorial from Texas A&M University focuses on computer models that ar...
This undergraduate meteorology tutorial from Texas A&M University introduces the recommended procedu...
This paper investigates the nature of model error in complex deterministic nonlinear systems such as...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Meteorology, 1962.Includes bibliograp...
A series of experiments that explore the roles of model and initial condition error in numerical wea...
This undergraduate meteorology tutorial discusses how meteorologists use the concepts of air masses ...
Weather Forecasting is a set of computer-based learning modules that teach students about meteorolog...
The Fifth Workshop on Systematic Errors in Weather and Climate Models (WSE) was hosted by Environmen...
It is often easy to see when an atmospheric model disagrees with data. It is usually much harder to ...
The Fifth Workshop on Systematic Errors in Weather and Climate Models (WSE) was hosted by Environmen...
This paper addresses a procedure to extract error estimates for the physical and dynamical component...
This page addresses some common misperceptions in the field of meteorology that are often perpetuate...
Numerical models are a necessary tool for weather analysis and forecasting. But an important questio...
Operational forecasting is hampered both by the rapid divergence of nearby initial conditions and by...
Estimating errors is a crucial part of any scientific analysis. Whenever a parameter is estimated (m...