Training time: October 15-16, 22-23
[The whole course is taught for 4 days, and playback is provided]
Daily classes (AM: 9:30-12:00 PM: 14:00-17:30)
foreword
This course will start with the basic usage of Python, explain step by step, from data visualization to the use of common data analysis methods, combined with specific examples of related disciplines, so that students can learn from it.
Student feedback
Data welfare
1. Complimentary CMIP June data (500G+)
Included variables: temperature, pressure, wet wind, radiation, precipitation
Included scenarios: historical, ssp126, ssp245, ssp370, ssp585
2. Complimentary CMIP 6-day data (1.8T+)
Included variables: temperature, pressure, wet wind, radiation, precipitation
Included scenarios: historical, ssp126, ssp245, ssp370, ssp585
3. Gift global VIPPHEN phenology data (40G+)
Time: 1981-2014, annual data
Spatial resolution: 5.6km
4. Present remote sensing precipitation data MSWEP 2.0 (325G+)
Time: 1979-2022
Time resolution: 3h
Spatial Resolution: 0.10˚
5. Present ERA5-LAND land surface reanalysis data (about 5T)
Time: 1951.1.1-2021.12.31 Time resolution: hourly
Spatial resolution: 0.1° (equiangular lonlat projection + wgs84)
Contains 11 variables: temperature, air pressure, radiation, evaporation, precipitation, humidity [see the data description file for details]
training period
Training time: October 15-16, 22-23, 2022
[The whole course is taught for 4 days, and playback is provided]
Daily classes (AM: 9:30-12:00 PM: 14:00-17:30)
training method
Webcast + student assistance group assistance + face-to-face practical work exchange with tutors (join the student assistance group after registration, check the meeting process)
Instructor accompanying
1. Establish a tutor-assistance exchange group, and conduct long-term Q&A and experience sharing to assist learning and application;
2. After the course ends, hold online Q&A exchanges from time to time to assist learning and consolidate work practice problem handling exchanges;
Teaching Features
1. An in-depth explanation of the principle;
2. Explanation of techniques and methods, providing all case data and codes;
3. Explain the implementation method in combination with the project case, and connect with the actual work application;
4. Follow the school to operate on the computer, independently complete the case operation exercises, and track and analyze the whole process;
5. At the end of the course, a dedicated student group will assist in the consolidation of learning and practical work application exchanges, and online Q&A will be held from time to time;
Certificates and hours
training fees
Non-member fee: 2980 yuan Member fee: 2580 yuan
【Students can apply for membership as required】
(Invoice types: training fees, conference fees, materials fees, technical consultation fees, etc., with stamped documents, etc., for the reimbursement of participants)
Course Details
Note: Please prepare your own computer and install the required software in advance.
ways of registration
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