Government
Meteorological and Air Quality Services for the Public Sector
Supporting Efficiency, Sustainability, and Safety in Public Service Operations.
Sectors » Government
We take pride in playing a crucial role in ensuring that government and public sector operations run efficiently
We provide essential meteorological and climate services. Our solutions are designed to align with the unique needs and priorities of public service, including sustainability, public safety, and the efficient use of resources.
By supporting government entities in managing climate risks and enabling early warning systems, we help ensure that services continue to operate smoothly, to anticipate extreme weather events and protect infrastructure and communities.
Our approach to meteorological and climate services is rooted in these principles, providing tools and solutions to inform decision-making and support long-term climate resilience.
Areas of expertise
FAQ
In how many countries has METEOSIM developed air quality consulting projects for public sector entities?
METEOSIM has developed consulting projects for public sector entities mainly in Spain, but also in France, Saudi Arabia, Colombia and Kuwait.
What is the most important thing a public sector entity should consider before undertaking an air quality modeling project?
Any public sector entity, whether at the national, subnational, or local level, must have high-quality information on pollutant emissions in the form of an air quality inventory.
Our city already has a Low Emission Zone (LEZ), with traffic restriction measures. What benefit can modeling bring us?
Air quality modeling can help in several ways to understand how effective the LEZ is and what measures should be adopted at any given time based on meteorological conditions and other pollutant sources.
What new obligations will Spanish Autonomous Communities have with the new Air Quality Directive?
The European Air Quality Directive will be transposed into Spanish law, but from the moment of its publication at the end of October 2024, it already requires Autonomous Communities to establish a roadmap to comply with much stricter air quality standards within the next three years, and to incorporate modeling as a tool to assess the effectiveness of the measures to be taken.
In how many countries has METEOSIM developed consulting projects for National Meteorological Agencies?
METEOSIM has developed consulting projects for Meteorological Agencies in Angola, Bangladesh, the United Arab Emirates, and Malawi. Recently, we began an ambitious project in Kuwait.
So does this mean METEOSIM cannot carry out projects for more developed countries like Spain or European institutions?
In the past, METEOSIM has worked for Meteorological Agencies of Spanish Autonomous Communities such as the Basque Country and Catalonia, and more recently, several METEOSIM consultants contributed to a project for the European Centre for Medium-Range Weather Forecasts (ECMWF).
How does METEOSIM ensure its consultants have the knowledge to carry out such high-level projects?
METEOSIM selects its consultants from top Spanish and international universities that offer Master’s degrees in Meteorology and/or Modeling. In addition, we provide them with a comprehensive internal training program, followed by placements at prestigious institutions such as NCAR in Boulder, USA.
In how many countries has METEOSIM developed projects related to climate change adaptation by providing climate change projections?
METEOSIM has developed climate change projections for more than 20 countries, including Angola, Burkina Faso, Côte d’Ivoire, Ethiopia, Burundi, Mali, Mauritania, Mozambique, Uganda, Costa Rica, Nicaragua, Peru, and Colombia.
What does METEOSIM’s work consist of in these climate change adaptation projects?
Our role is to act as experts in climate data and climate modeling within the framework of Climate Risk Analysis (CRA), which requires this data as input in the assessment process.
How does METEOSIM carry out this type of project? What is the step-by-step process?
After an initial planning phase, we identify available national information on monitoring networks and look for data from similar projects in recent years. If such data is not available, we locate the best climate databases, such as Global Climate Models (GCMs) and Regional Climate Models (RCMs), download long-period data, and apply statistical enhancements. Finally, we validate the past data with historical records from the region, analyze the uncertainty associated with the models and different emission scenarios, and complete the process with an analysis of indicators relevant to the specific project.
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