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A*e FIG q121ILMCLASSIFIEDAIR FORCE ENVIRONMENTAL TECHNICAL APPLICATIONS CENTERETC MODEL OUTPUT STATISTICS FORECAST GUIDANCE. (U) SEP 76 H MJG4ES USAFETAC TN76 3__r_p____.4 J____ USAFETA C TN 163 .iii _
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How to fill out model output statistics mos

01
Gather the necessary data required for the model output statistics (MOS) such as observed and forecasted values.
02
Calculate the error between the observed and forecasted values.
03
Determine the relevant statistics to be calculated such as mean error, root mean square error, correlation coefficient, etc.
04
Use a statistical software or programming language to perform the calculations.
05
Organize and present the results in a clear and understandable format for interpretation.

Who needs model output statistics mos?

01
Meteorologists and climate scientists who want to evaluate the accuracy and skill of their forecasting models.
02
Researchers studying the performance of different weather and climate models.
03
Policy makers and planners who rely on weather forecasts for decision making.
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Model Output Statistics (MOS) refers to a set of techniques used in meteorology to create site-specific weather forecasts based on numerical weather prediction models. MOS provides statistical guidance on meteorological elements such as temperature, precipitation, and wind.
Entities required to file Model Output Statistics (MOS) typically include organizations and businesses involved in weather forecasting, meteorological data collection, and related research, as well as certain governmental agencies.
Filling out Model Output Statistics involves gathering relevant meteorological data, applying the appropriate statistical techniques for the specific model outputs, and then compiling these findings into a specified reporting format, which may vary based on regulations or organizational requirements.
The purpose of Model Output Statistics is to enhance the accuracy and reliability of weather forecasts by using statistical methods to interpret model outputs, thereby providing better forecast information to stakeholders.
Information reported on Model Output Statistics typically includes predicted meteorological parameters such as temperature, humidity, precipitation amounts, wind speed and direction, and any other relevant variables derived from model data.
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