Many modernization projects are undertaken in low- and mid-income countries, to improve national and regional capacities to produce and deliver weather, climate, and hydrological information. Development partners marked significant success, and gained considerable knowledge over years, to enhance the public infrastructure for monitoring, prediction, and knowledge production.
In the meantime, we have witnessed rapid changes in the scene. Notably, technological advances and open data policies have significantly enlarged the role of the private sector, calling for the optimal mix of public-private collaboration that would improve the provision of public services. Sustainability continues to be a great challenge for those projects, bearing the questions as to “How to ensure lasting impact of the development projects?”, and, “How to maximize their benefit for the whole country or region?”
The GWE Forum Coordination Group met virtually on 3 June 2021, to review the activities of the Forum conducted during the fiscal year 2021 (July 2020 – June 2021), and to develop a preliminary agenda for activities to be undertaken in the fiscal year 2022 (July 2021 – June 2022).
In the first in a series of blogs on the role of hydromet services in decarbonizing economies, we highlight the economic opportunities and societal benefits of strengthening the resilience of our basic infrastructure to the weather and climate. There is an immediate need, which goes hand in hand with the infrastructure investments in decarbonizing societies, to improve meteorological and hydrological information on all timescales and to blend this information with many other data sources in an integrated system that can greatly enhance the day-to-day functioning of society. The basic message is – decarbonizing society depends on strengthening hydromet services.
A significant challenge faced by NMHSs in developing countries is a lack of sufficient government support required to fulfill its public functions, improve and sustain weather and climate services at a level which optimizes the accuracy, timeliness and reliability of forecasts and warnings, and ultimately, optimizes their value and socio-economic impact to the country.