Joint Declaration on Harnessing the Data Revolution for Climate Resilience

November 18, 2016


We recognize the crucial importance of coordinating our efforts and championing bold, transformative action to make data available for local, regional, and national decision-making to build resilience against climate change. Open, accessible, and timely data are vital to development and humanitarian efforts across the globe.

We welcome the adoption last year of the Paris Agreement, and note that harnessing the data revolution for climate resilience can contribute not only to climate change action broadly, but can also help further other goals, including those contained in the 2030 Agenda for Sustainable Development and its Sustainable Development Goals.

Harnessing the data revolution in order to improve climate resilience efforts will require a diverse set of partners. Governments at all levels, civil society organizations, research centers and universities, the private sector, and international organizations bring experience that will be critical to enabling transparent, mutually accountable, participatory, and technologically facilitated solutions to the global challenge of building climate resilience.

The world urgently needs to collect and harness data to better understand trends and likelihoods in severe weather events as well as hydrologic, oceanic, and ecological impacts under a changing climate, and how they affect communities, cities, subnational jurisdictions, nations, and regions. We envision a world in which communities and governments at all levels have access to timely, relevant, and up-to-date information that supports management of climate variability and change.

Therefore, today we resolve to take the following concrete actions, among others, in order to increase climate resilience through data improvements:

1. Mobilizing the public and private sectors to design data systems and deploy their data for climate resilience

2. Accelerating efforts to support the open sharing, as appropriate, of historical climate and related weather, hydrologic, and oceanic data as well as information on severe weather trends and the associated economic, ecological, and social impacts

3. Supporting work across the public and private sectors to encourage user-friendly, and, to the extent possible, open-source platforms that respond to the needs of resilience planners and implementers by providing easy and timely access to the best available and most relevant information for climate risk assessment and planning, including the development of early warning systems

4. Increasing collaboration and innovation to identify and respond to information gaps and to integrate data from multiple sources

5. Embracing common technical standards, open climate data standards, data interoperability, capacity-building efforts, and best practices for improving access to data that inform climate resilience decisions and help monitor progress

6. Encouraging and supporting coordination among complementary initiatives related to climate resilience

National Governments:

People’s Republic of Bangladesh

Kingdom of Belgium

Canada

Republic of Colombia

Republic of Costa Rica

Republic of Finland

French Republic

Federal Republic of Germany

Ireland

Japan

Republic of Kenya

Republic of Korea

Republic of Macedonia

Republic of the Marshall Islands

United Mexican States

Federal Republic of Nigeria

Kingdom of Norway

Republic of Peru

Republic of Sierra Leone

Ukraine

United Kingdom of Great Britain and Northern Ireland

United States of America

Subnational and Local Governments:

City of Buenos Aires, Argentina

Chincha, Peru

Cuenca, Ecuador

Esmeraldas, Ecuador

Oakland, USA

County of Sonoma, USA

Organizations:

Amazon Web Services

Consejo Ciudadano Sectorial de Desarrollo Urbano y Vivienda (Ecuador)

Data Act Lab

Eco-City Builders

Economic Commission for Latin America and the Caribbean

Esri

Future Earth

GeoCensos

Google

Group on Earth Observations

IBM

Inter-American Development Bank

Microsoft

World Bank

World Council on City Data

World Resources Institute