G3W and Capacity Building
The successful implementation of G3W necessitates a robust and all-encompassing capacity building programme. This must cater to diverse roles within the organizational structure, spanning managerial levels, operators, data managers, modellers, and infrastructure support professionals. It is imperative that training occurs before, during, and after the roll-out, ensuring the acquisition, maintenance, and expansion of competencies. For an in-depth exploration of capacity building details, the complete information is available in the 9. Capacity Building section of the G3W Implementation Plan, published on the WMO INFCOM-3 mini-site.
Survey on National Capacities for G3W Implementation
To assess the requirements for capacity development, a comprehensive survey of Member countries was conducted. Commencing on October 13, 2023, the data collection phase garnered responses from 47 out of the 193 member nations. The primary objective was to ascertain the capabilities of member countries in implementing G3W.
Our sincere gratitude extends to the 47 nations that participated, providing invaluable insights into G3W capacity building efforts. These countries include: Algeria, Argentina, Australia, Austria, Barbados, Bosnia and Herzegovina, Burundi, Cabo Verde, Canada, Costa Rica, Cyprus, Czech Republic, Denmark, Egypt, Fiji, Finland, Germany, Hong Kong-China, Indonesia, Ireland, Italy, Japan, Latvia, Madagascar, Mauritius, Monaco, Mongolia, Morocco, New Zealand, Nigeria, Norway, Pakistan, Peru, Republic of Armenia, Republic of Benin, Republic of Korea, Russia, Slovakia, South Africa, Spain, Sweden, Switzerland, Tunisia, United Kingdom, United States of America, Vietnam. |
Overview
This page will cover key contents such as the survey introduction, survey questions and their main figures, summary, key findings, and limitations. Please note that this analysis includes responses from 43 countries received before December 12th. Updates for responses collected after this date will be provided shortly on this page. For a detailed analysis of each question, you can navigate the full version here.
Survey Introduction & Respondents
Data collection took place from October 13th to December 12th, encompassing responses from a total of 43 countries. The objective is to grasp the member countries’ capabilities for Implementation of G3W.
<Chart 1. Response rate by region>
RA X | Total members | Survey Respondents | Response rate |
|---|---|---|---|
RA I | 53 | 11 | 20.8% |
RA II | 34 | 6 | 17.6% |
RA III | 12 | 2 | 16.7% |
RA IV | 22 | 1 | 4.5% |
RA V | 22 | 4 | 18.2% |
RA VI | 50 | 19 | 38.0% |
<Table 1. Response rate by region>
The response rates are highest in Region VI: Europe, with 38%, followed by Region I: Africa at 20.8%. Meanwhile, in terms of RA III and IV, two or fewer countries responded, RAIII: Peru, Argentina; RA IV: Costa Rica. Consequently, meaningful analysis for those regions is challenging.
Responses were primarily collected on a country basis, and in cases where multiple agencies within a single country provided responses, the data was aggregated for statistical analysis.
Survey questions and results
Is your agency responsible for the compilation of national GHG inventory?
3
Staff(s) in modelling | Staff(s) in observation | |
Grand Mean | 4.1 | 8.2 |
Staff(s) in modelling | Staff(s) in observation | |
Grand Mean | 4.1 | 8.2 |
<Table 4. Grand Mean of In Situ Measurements>
CO2 | CH4 | N2O | Other GHG | |
Non-response | 0 | 2 | 2 | 3 |
“0” | 11 | 14 | 18 | 12 |
Table 6. In Situ: Sum of Countries
with non-response/ no measurement
CO2 | CH4 | N2O | Other GHG | |
Grand Mean | 5.3 | 1.5 | 0.5 | o.4 |
<Table 5. Grand Mean of Direct Flux Measurements>
CO2 | CH4 | N2O | Other GHG | |
Non-response | 3 | 6 | 6 | 7 |
“0” | 20 | 24 | 29 | 30 |
Table 7. Direct Flux: Sum of Countries
with non-response/ no measurement
Summary
Key Findings
Limitation