Satellite Weather Forecasting and Modelling Geo 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective V) detail syllabus for Geoinformatics Engineering (Geo), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (GI8008), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other geo 8th sem syllabus for be 2017 regulation anna univ you can visit Geo 8th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective V subjects do refer to Professional Elective V. The detail syllabus for satellite weather forecasting and modelling is as follows.
Course Objective:
- To introduce Weather Forecasting and Modeling in digital scenario applications.
- To familiarize with terms and techniques used in weather forecasting.
- To gain fair knowledge in Satellite Imaging and vertical profiling system in weather forecasting methods.
- To understand the role of Global and National level Satellites and observations in weather forecasting.
Unit I
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Unit II
Satellite and Ground Sensors
Data Acquisition: Surface observation and AWS – Upper level data and charts – Satellites in Weather Forecasting: GOES and POES in weather Forecasting – Satellite imagery – Sounders -Doppler Radars – WMO and Global network of weather observations – IMD and the national network of observations – Kalpana and INSAT satellites – Imaging radars and sounders in INSAT series.
Unit III
Weather Forecast Processing
Forecasting Tools and Techniques: Human-Machine mix – Forecast process – Surface Charts and Maps – Meteogram – T-Phi diagram applications – Radio Sonde and its charts – Upper level charts – Radar imagery and extraction of weather element maps – satellite sounder profiles -Advanced Weather Interactive Processes Systems (AWIPS).
Unit IV
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Unit V
Weather Forecast Models
Forecast Models and Applications: Global Forecast Systems and Models – National Weather Forecast Systems – Simple Persistence Models – Analogue Models – Trend analysis and modeling – Statistical and Numerical Forecast Models – Probability Forecasts.
Course Outcome:
At the end of the course the candidate is knowledgeable in
- Weather forecasting tools, techniques and methods of weather forecasting.
- Global network of weather observation systems and integration.
- Satellites and its role in weather observations and analysis.
- Indian weather satellites and their observation tools
Text Books:
- Donald C. Ahrens (2009) Meteorology Today An Introduction to Weather, Climate and
- Environment, Brooks/Cole, Cengage Learning, Australia Jeppesen GmbH (2004), Meteorology, JAA ATPL Training, Jeppesen Sanderson Inc, Germany
References:
- Kelkov R.R. (2007) Satellite Meteorology, BS publications, Hyderabad, India
- Herhart Riehl (1954), Tropical Meteorology, Mcgraw hill Buole company, New York
- WMO (2011) Guide to Climatological Practices, WMO -N0100, World Meteorology
- Organization, Geneva.
- WMO (2008) Guide to Meteorological Instruments and Methods of Observation, WMO-N01
- http://www.weather.gov/
- http://www.esa.int/Our_Activities/Observing_the_Earth/The_Living_Planet_Programme/M
- eteorological_missions
- http://www.bis-space.com/belgium/wp-content/uploads/2015/05/meteor.pdf
- https://new.meteoinfo.ru/en
- https://www.isro.gov.in/applications/meteorology
- http://www.imd.gov.in/Welcome%20To%20IMD/Welcome.php
- https://spaceflightnow.com/
For detail syllabus of all other subjects of BE Geo, 2017 regulation do visit Geo 8th Sem syllabus for 2017 Regulation.
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