As part of the initiative, a strong involvement of the WMO Regional Training Centres (RTCs) would be highly desirable, as well as of the Intergovernmental Oceanographic Commission’s (IOC) Ocean Teacher Global Academy (OTGA), Ocean Best Practices System (IOC-OBPS), GOOS, and the GEO flagship initiatives like GEO BON/Marine BON15. Up to now, RTCs have played only a negligible role in supporting atmospheric composition observations, and a better coordination with the WMO infrastructure department and RTCs is recommended. A curriculum on the atmospheric composition, especially GHG and their effects on the climate and their measurements, has to be developed based on the experiences gathered from the training courses for technicians /observers and meteorologists. Curriculums developed for this implementation plan shall be translated into all of the WMO official languages. Learning opportunities will be offered in online, hybrid and in-person modalities. It is recommended to record and stream in-person courses, with a preference to hold these courses in all WMO regions. Clear synergies can be also identified and used with training programmes of UNFCCC and UNEP, and with existing and future efforts of the satellite operators.
To evaluate the needs for capacity development, a survey of Member countries has been conducted. Data collection took place from 13 October to 12 December 2023, encompassing responses from a total of 43 countries. The objective is to grasp the Member countries’ capabilities for Implementation of G3W. The full analysis of the survey is available on the G3W web site.
It was noted that many countries do not distinguish between long-lived GHGs and air pollutants. The largest proportion of responses (46%) came from agencies that are not responsible for GHG inventories. From the average responses per region, it is evident that there is a shortage of personnel in modelling compared to observations. The question about observational capability is the one with a particularly high number of non- responses or "0“(no measurement) responses. Especially regarding the non- responses, it can be inferred that there is a significant number of countries with limited knowledge about their current situation.
In response to evaluation of operational setting, the most prevalent responses were for “Purely on research grants”, followed by “Full support from the government for > 5 years”.
63% of ocean observations are conducted by RA VI.
Many countries indicated that they either do not have a GHG monitoring plan or are in the stage of development without a concrete timeline, accounting for 63%. This suggests that most countries lack a concrete plan for GHG monitoring at the national level.
The grand mean indicates that about three stations per responding country need repair/upgrade and about 11 stations on average per country are in need of being newly built for well-covered observation, on average.
Activities to be considered:
C1: Establish a competence framework for participation in G3W
Establish specific competencies in GHG observations, modeling, data management, and facility management for training centers.
C2: Continuous evaluation of the GHG capacities contributing to G3W
Follow up on the WMO capacities survey regarding national GHG capacities and needs, and catalog available training institutions and partners in collaboration with relevant entities like IOC and GEO.
C3: Develop capacities among the Members regarding use of G3W data
Facilitate mapping of national GHG institutions, share examples of inter-agency cooperation frameworks, develop reusable training materials for climate policy engagement, and create distance learning modules to support G3W knowledge.
C4: Establish GHGs training programmes for Member
Develop blended, face-to-face, and online training programs on GHG observations, modeling, and data management. Conduct train-the-trainer events for RTCs and create tools to evaluate training efficiency.
C5: Develop twinning and exchange programmes between countries to develop national capacities in GHGs observations, modelling, data management and data utilization.