Climate Services and Climate Impact Modelling
القراءة , المملكة المتحدة
زيارة موقع البرنامج
مصاريف
تاريخ البدء
2026-04-01
وسيلة الدراسة
عبر الإنترنت بالكامل
مدة
6 weeks
حقائق البرنامج
تفاصيل البرنامج
درجة
الدورات
تخصص رئيسي
Mathematics | Statistics | Meteorology
التخصص
لسانيات | العلوم
نوع التعليم
عبر الإنترنت بالكامل
لغة الدورة
إنجليزي
دفعات
| تاريخ بدء البرنامج | آخر موعد للتسجيل |
| 2026-04-01 | - |
عن البرنامج
نظرة عامة على البرنامج
University of Reading Department of Meteorology
The Department of Meteorology at the University of Reading offers a range of programs for undergraduate, master's, and PhD students.
Undergraduate Programs
- Undergraduate courses
- Why study a degree with us?
- How you'll study
- Department life for undergraduates
Master's Programs
- Master's courses
- Why study a master's with us?
- How you'll study as a master's student
- Preparation for our master's courses
- Department life for master's students
PhD Programs
- PhD opportunities
- Why study a PhD with us?
- PhD fees and funding
- PhD scholarships
- How we support PhD students
- Department life for PhD students
- How to apply for a PhD
Online Courses
- Premium Online Courses
- Fundamentals of Meteorology
- Statistics for Weather and Climate Science
- Tropical Meteorology
- Climate Services and Climate Impact Modelling
- Open courses
Climate Services and Climate Impact Modelling Course
This course is delivered by Professor David Brayshaw and runs during April and May 2026. The course covers the science and practical techniques required for the provision of quantitative climate services and climate impact modelling.
Course Details
- The course involves a mixture of online videos and lecture notes, interactive online discussion sessions, and online computing labs.
- Candidates spend 4-6 hours per week over 6 weeks to complete the course.
- There are 108 pages of lecture notes accompanied by 10 hours of video content.
- Optional seminars are given by expert speakers who share their experiences of delivering weather and climate services to end-users.
Online Timetabled Sessions
- 22 April 14:00-15:00 Online lecture
- 29 April 14:00-15:00 Online lecture
- 6 May 14:00-15:00 Online lecture
- 6 May 15:00-17:00 Online computing lab
- 13 May 14:00-15:00 Online lecture
- 13 May 15:00-17:00 Online computing lab
- 20 May 14:00-15:00 Online lecture
- 20 May 15:00-17:00 Online computing lab
Optional Guest Seminars
- These will be held from 16:00-18:00 (UK time) on:
- Thu 23rd April
- Thu 30th April
- Thu 7th May
- Thu 14th May
Prerequisites
- The course is highly quantitative and based on master's-level material.
- Most students normally undertaking the material would have a good first degree (2.2 or higher) in a quantitative subject.
- Competence in manipulating data mathematically, statistically, and computationally is required.
- Programming experience in data analysis, such as Python, is expected.
- Familiarity with meteorology or atmospheric science is advantageous but not essential.
- Recommended skills include:
- Equivalent to a B in A level Maths
- Recent use of mathematics including linear equations, functions, basic statistics, and basic calculus
- Programming experience (for example in R, Python, or Matlab) standard equivalent to a first year science undergraduate programming module.
Department of Meteorology
The Department of Meteorology is part of the School of Mathematical, Physical and Computational Sciences.
Related Departments
- Computer Science
- Mathematics and Statistics
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