CLIMATE CHANGES and DOWNSCALING

AIM

By condensing the future forecasts of climate change on ordinary meteorological and previous years' temperature, precipitation, snow, hail, humidity, evaporation, evapotranspiration (evaporation+sweating) with the country's past records of international scenarios, it is possible to determine the climate change that may occur in any desired year until 2100. It is necessary to make extensions (projections) by making use of existing mathematical equations in order to predict.

CONTENT

This course contains; Introduction of the course,Greenhouse gas (GHG) emission types,GHG emission inventory (verbal and numerical),Climate change scenarios and interpretations,Records of temperature and precipitation,Downscaling modelling elements,Statistical evaluation of the scenarios,Statistical downscaling procedures,Dynamic downscaling procedures,Combination procedures of scenarios ,Model adaptation, calibration, and verification,Statistical and probabilistic assessment of downscaling ,Climate change adaptation and mitigation,General assessment of the course.

1. 1

   Makes modeling about scanario and numerical data concerning climate change.

   Taught by: Discussion Method, Question - Answer Technique, Brainstorming Technique, Reverse Brainstorming Technique, Inquiry-Based Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework

2. 2

   Treats statistical and dynamig down scaling procedures.

   Taught by: Discussion Method, Question - Answer Technique, Brainstorming Technique, Reverse Brainstorming Technique, Inquiry-Based Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework

3. 3

   Achieves downscaling with statistical and probabilistic approaches.

   Taught by: Discussion Method, Question - Answer Technique, Brainstorming Technique, Reverse Brainstorming Technique, Inquiry-Based Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework

4. 4

   Down scales scenario data to measurement data.

   Taught by: Discussion Method, Question - Answer Technique, Brainstorming Technique, Reverse Brainstorming Technique, Inquiry-Based Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework

WEEKLY PLAN

1. WEEK 1

   Introduction of the course

   Preparation: Previewing book and lecture notes.

2. WEEK 2

   Greenhouse gas (GHG) emission types

   Preparation: Previewing book and lecture notes.

3. WEEK 3

   GHG emission inventory (verbal and numerical)

   Preparation: Previewing book and lecture notes.

4. WEEK 4

   Climate change scenarios and interpretations

   Preparation: Previewing book and lecture notes.

5. WEEK 5

   Records of temperature and precipitation

   Preparation: Previewing book and lecture notes.

6. WEEK 6

   Downscaling modelling elements

   Preparation: Previewing book and lecture notes.

7. WEEK 7

   Statistical evaluation of the scenarios

   Preparation: Previewing book and lecture notes.

8. WEEK 8

   Statistical downscaling procedures

   Preparation: Previewing book and lecture notes.

9. WEEK 9

   Dynamic downscaling procedures

   Preparation: Previewing book and lecture notes.

10. WEEK 10

    Combination procedures of scenarios

    Preparation: Previewing book and lecture notes.

11. WEEK 11

    Model adaptation, calibration, and verification

    Preparation: Previewing book and lecture notes.

12. WEEK 12

    Statistical and probabilistic assessment of downscaling

    Preparation: Previewing book and lecture notes.

13. WEEK 13

    Climate change adaptation and mitigation

    Preparation: Previewing book and lecture notes.

14. WEEK 14

    General assessment of the course

    Preparation: Previewing book and lecture notes.

ASSESSMENT

• Rate of Midterm Exam to Success50%
• Rate of Final Exam to Success50%

WORKLOAD

READING

• Şen, Z., (2009). İklim Değişikliği Tatlı Su Kaynakları ve Türkiye. Su Vakfı Yayınları, 272 sayfa Şen, Z., (2003) Yeraltısuyu (hidrojeoloji). Su Vakfı Yayınları, 198 sayfa Kansal, M.L., (2005). System Analysis Techniques in Water Resources Management. Turkish Water Foundation Publications, 264 pages.

TEACHING STAFF

• Prof.Dr. Zekai ŞENCOORDINATOR
• Prof.Dr. Zekai ŞEN