国际学生入学条件
Applicants to the doctoral program in climate dynamics should have demonstrated high aptitude for quantitative reasoning, mathematics, and physical science. The applicant should have an undergraduate degree from an accredited institution, with a GPA of at least 3.000 in undergraduate work.The TOEFL requirement is a score of at least 575 (paper based exam), 230 (computer-based exam), or 88 (internet based exam, score for each individual section must be at least 20).
展开 IDP—雅思考试联合主办方
雅思考试总分
6.0
了解更多
雅思考试指南
- 雅思总分:6
- 托福网考总分:88
- 托福笔试总分:575
- 其他语言考试:NA
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
我们的学生了解大气,海洋和陆地表面如何共同确定气候。通过与国际知名科学家的合作,学生们开展了独立的工作,以进一步了解气候,气候如何变化以及我们可以预测多少气候。该计划中的工具包括最先进的气候模型,先进的统计技术和全面的数据集。我们的毕业生已经在顶尖的实验室和大学工作。<br>气候动力学计划欢迎全日制和非全日制学生。华盛顿地区联邦实验室的许多兼职学生都是从事与气候有关的工作的专业人士。了解气候的可变性和可预测性带来了困难的数学,计算和观测问题,这些问题近年来引起了越来越多的智力兴奋。从计划明年的用电需求和预
Our students learn about how the atmosphere, ocean, and land surface work together to determine the climate. In collaboration with internationally-known scientists, students conduct independent work to further our understanding of climate, how it varies, and how much of it we can predict. Tools in the program include cutting-edge climate models, sophisticated statistical techniques, and comprehensive data sets. Our graduates have gone on to work at top laboratories and universities.<br>Climate Dynamics Program welcomes both full-time and part-time students. Many part-time students are professionals at Washington-area Federal laboratories where climate-related work is conducted.Understanding climate variability and predictability poses difficult mathematical, computational, and observational questions that have generated increasing intellectual excitement in recent years. Climate variability has important ramifications for society, from planning for next year's electrical demand and forecasting agricultural production to answering complex questions involving long-term change in global climate, sea level, and biodiversity. While it is impossible to predict day-to-day weather more than a few weeks in advance, progress in predicting El Ni?o supports the idea that seasonal averages of temperature, rainfall, and other factors may be at least partly predictable months or even years in advance. Likewise, there is a strong scientific basis for predicting long-term changes in global climate due to changing greenhouse gas concentrations.
展开