RCTT invites students, researchers, policymakers to take part in International training courses on Technologies on the Analysis of Carbon Satellite Data.

The training courses on Technologies on the Analysis of Carbon Satellite Data are designed and coordinated by Alliance of International Science Organizations (ANSO) and Cooperation on the Analysis of Carbon Satellites Data (CASA). They promote and foster individual and organizational effectiveness by developing and offering an array of innovative and diverse courses in support of the widespread use of carbon satellite data among international societies, space agencies and research institutes in developing countries.

Participants will acquire important knowledge and skills in various areas in the international policies to accelerate the "Net-Zero" transition, the major international carbon satellite datasets and services, and the technologies to use these data as part of the multi-component courses. A wide range of participants is from researchers, students, faculties, university staff, and policymakers. The training courses will promote the widespread use of carbon satellite data, advance the basic and applied regional and local carbon studies, and build collaborative networking among developing countries to better complete the common goal of "Net-Zero Emission".

Due to the COVID-19 epidemic, the training courses will be held online accessing through Zoom Meetings on February 14-25, 2022 (8:00-9:00 a.m. UTC), which will last 2 weeks.

Registration is required. Once done, the ZOOM link shall be sent to your email address. Please register before 5 February 2022. Official website of the training project: https://casa2022.casconf.cn/

The online accessing link of the Zoom Meetings to join the courses will be only sent to all registrants. And a training certificate will be awarded to all registrants after they have completed the training courses. Other participants can only watch the live broadcast.

Grant Opportunity: The Scientific Committee will vote 3-5 proposals relevant to the scientific issues

• Scientific big carbon data and infrastructure capacity.
• High-precision CO2 flux retrieval methods and global products.
• High precision CO2 distribution retrieval methods and global products.
• Solar-induced chlorophyll fluorescence extraction methods and global products.
• "Top-down" inversion with carbon satellite observations to support and verify CO2 emission inventories.
• Carbon emissions from human activities.
• "Carbon sink" mechanism for marine and terrestrial ecosystems.
• Fusion and application research with other Remote Sensing data.
• Carbon Neutrality and Green Growth
• Others

submitted by registrants within 1 month after the training courses. The winner will be granted full funds to have a one-month visiting study in China. All-round research support including data and computing resources, as well as funds are covered.

Welcome to contract the CASA Secretariat (casa_office@aircas.ac.cn; wubn@aircas.ac.cn) or access the website for more information.