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Statistical DownScaling Model (SDSM) Data Analysis Course
Last updated 03/2023
Duration: 2h 8m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 1.5 GB
Genre: eLearning | Language: English[Auto]

Analysis of Statistical Downscaling Model (SDSM) projected future rainfall, Temperature, humidity, etc, of the world.​

What you'll learn
Download SDSM Software
Install SDSM Software
Download NotePad++
Download data for SDSM
Download Predicted file
Download GCM data
Process Prediction Data in Excel
Process Prediction Data in NotePad++
Analysis of Daily Rainfall Data
Analysis of Maximum Tempreture Data
Analysis of Minimum Tempreture Data
Process Analysis data
Create Graphic Chart For final Prediction
And Manay More..
Requirements
Basic Computer Knowledge
Installed MS Offce With Excel
Basic Computer Operating Knowledge
Description
In this course, you will learn Statistical DownScaling Model (SDSM) software. In this modern world as a researcher, we design analysis and explore climate by using software to enhance the best quality analysis. Because of accurate results and analysis by Statistical DownScaling Model (SDSM) software, we are able taking decisions properly to predict the climatic change of the world of different parts.
To enhance the proper analysis of rainfall, temperature, humidity, etc, of the different parts of the world, this Statistical DownScaling Model (SDSM) climatic Data Analysis Course will help you perfectly with proper guidelines.
With my professional experience, I have created this course with a proper sequence of steps of topics so that you can understand and learn the proper way. Although the course is focused on Statistical DownScaling Model (SDSM), the climatic concepts and steps are used with references to parameters of different climatic data. The course focuses on the analysis and knowledge utilized on a professional level worldwide.
After completing this course you will get the following outcomes
Will be able to process data perfectly.
Will be able to use SDSM Software confidently.
Will be able to analyze rainfall data.
Will be able to analyze temperature data.
Will be able to analyze humidity data.
Will be able to analyze streamflow data.
Will be able to take the critical decision on climate change.
And Many more...
Who this course is for
Researcher on Climate
Graduate Researcher on Climate
Undergraduate Researcher on Climate
Thesis Worker on Climate
Project Worker on Climate
PhD Researcher on Climate

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