Statistical DownScaling Model (SDSM) Data Analysis Course

Name: Statistical DownScaling Model (SDSM) Data Analysis Course
Rating: 3.9 (18 reviews)

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

Created byEngr Hedaetullah

Last updated 5/2023

English

English [Auto],

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..

Course content

3 sections • 14 lectures • 2h 8m total length

How to Download SDSM Software3:12
Learn how to download the statistical downscaling modelling software (SDSM) from the official download page, verify minimum 5 gb ram and 133 mhz processor, and choose a version.
How to Install SDSM Software2:23
How to Download SDSM User Manual2:39
Explore how to locate and download the SDSM user manual from the official site, including original manuals for versions 4.2 and 5.2, and supplementary manuals for the latest version.
How to Download NotePad++ Software2:38
download Notepad++ by selecting the latest 8.4.8, choose 64-bit or portable version, verify your system is 64-bit in desktop properties, and complete the download.
How to Install NotePad++ Software1:18
Download Meteorological Department DATA0:01

Download SDSM GCM Predictors Variables8:48
The Canadian Climate Data and Scenarios (CCDS) site is an interface for distributing climate change information.
Statistically downscaled climate scenarios: CMIP6 and CMIP5 statistically downscaled climate scenarios, predictors, and information on downscaling tools.
How to get data from Meteorological Department2:02
Collect data from your country’s meteorological department, such as the Bangladesh Meteorological Department. Merge the datasets from 1950–2011 and 2012–2016 to prepare for predicting future data in the SDSM analysis.
Process data for Analysis15:56
Process rainfall data from 2000 to 2015 for the Chittagong station by compiling, transposing monthly records in Excel, and saving a validated .dat file for the SDSM data analysis workflow.
Identify Missing Data3:03
User Manual for Rainfall Data Analysis0:04
User Manual for Tempreture Data Analysis0:04

Analysis of Maximum Temperature data in SDSM45:34
Explore maximum temperature analysis in the SDSM framework. Learn data management, quality control, predictor screening, and future projections under RCP 4.5 and 8.5 with GCM data.
Analysis of Minimum Temperature data on SDSM40:33
Learn to analyze minimum temperature data with SDSM, select predictors by correlation and p-values, calibrate models, and generate future projections under GCM data and RCP scenarios.

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

Statistical DownScaling Model (SDSM) Data Analysis Course

What you'll learn

Explore related topics

Course content

Software and Data Download for Analysis6 lectures • 12min

Collect and Process Predictor and Predicted data6 lectures • 30min

Analysis of Climatic Data Using SDSM2 lectures • 1hr 26min

Requirements

Description

Who this course is for: