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LECTURE
METEOROLOGICAL STATISTICS
ATMOSPHERIC CIRCULATION AND PRACTICE
PKNU PPL
HOME
MEMBERS
PROFESSOR
CURRENT MEMBERS
PAST MEMBERS
PUBLICATION
PAPERS
BOOKS
LECTURE
METEOROLOGICAL STATISTICS
ATMOSPHERIC CIRCULATION AND PRACTICE
More
HOME
MEMBERS
PROFESSOR
CURRENT MEMBERS
PAST MEMBERS
PUBLICATION
PAPERS
BOOKS
LECTURE
METEOROLOGICAL STATISTICS
ATMOSPHERIC CIRCULATION AND PRACTICE
METEOROLOGICAL STATISTICS
Course objectives
1. We study NCL (NCAR Command Language), a statistical analysis tool for meteorological data, to conduct basic statistical analysis applied to meteorology.
2. Learn how to apply the meteorological statistical techniques to weather data using NCL
Course
schedule
Week
Lecture and Experiment Contents
File
대기과학을 위한 NCL ( 봄인컨설팅 )
PDF
Week 1
Course overview and NCL programming language overview
PDF
Week
2
Linux environments and the vi editor
PDF
Week
3
Understanding workstation and attributes / NCL graphics Ⅰ- Line Plots
PDF
Week
4
NCL graphics Ⅱ- Bar Charts and Contour Plots
PDF
Week
5
File I/O in various formats (ascii, binary, standard grid data (NetCDF, GRIB))
PDF
Week
6_1
Mid-term
PDF
Week
6_2
Mid-homework
PDF
Week
7
NCL data structure and variables
PDF
Week
8
NCL graphics Ⅲ - Map Projection and Vector Plots
PDF
Week
9
NCL graphics Ⅳ - Overlay and Panel Plots
PDF
Week
10
Climatology and anomaly
Week
11
Composite analysis
Week
12
Statistical test
Week
13
Regression analysis
Week
14
The basic of concepts machine learning
Week
15
Final-term
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