Climate related disasters cost 520 billion USD each year.


Goal 13: Climate Action

Take urgent action to combat climate change and its impacts.


Strengthen resilience and adaptive capacity to climate related disasters

Strengthen resilience and adaptive capacity to climate-related hazards and natural disasters in all countries.


Integrate climate change measures into policies and planning

Integrate climate change measures into national policies, strategies and planning.


Build knowledge and capacity to meet climate change

Improve education, awareness-raising and human and institutional capacity on climate change mitigation, adaptation, impact reduction and early warning.


Implement the UN framework convention on climate change

Implement the commitment undertaken by developed-country parties to the United Nations Framework Convention on Climate Change to a goal of mobilizing jointly $100 billion annually by 2020 from all sources to address the needs of developing countries in the context of meaningful mitigation actions and transparency on implementation and fully operationalize the Green Climate Fund through its capitalization as soon as possible.


Promote mechanisms to raise capacity for planning and management

Promote mechanisms for raising capacity for effective climate change-related planning and management in least developed countries and small island developing States, including focusing on women, youth and local and marginalized communities.

Current Situation

Climate change is now the leading cause of significant population displacement and has been identified by the UN as a “threat-multiplier:” a catalyst for social, political and international conflict.

The 2018 Special Report on Global Warming of 1.5° from the International Panel on Climate Change (IPCC) argues that limiting global warming to 1.5°C could “reduce the number of people both exposed to climate-related risks and susceptible to poverty by up to several hundred million by 2050,” and “reduce challenging impacts on ecosystems, human health and well-being.” 

Impact Opportunity

In model pathways with no or limited overshoot of 1.5°C, global net anthropogenic CO2 emissions decline by about 45% from 2010 levels by 2030, and reach net zero around 2050. By limiting global warming to below 2°C CO2, emissions are projected to decline by about 25% by 2030 and reach net zero around 2070.

The transition of the global energy system is broadly characterised by rapid and sustained increases of energy efficiency, extensive use of carbon dioxide removal (CDR) technology, and decarbonisation of electricity generation.

The costs for these scenarios amount to a fraction of the projected consumption growth, as well as a fraction of the projected costs of climate change related economic losses, given our current emission reduction trajectory.

By limiting global warming to below 2°C CO2, emissions are projected to decline by about 25% by 2030 and reach net zero around 2070.


Shared Datasets

Provides science and information, focusing on news, data, and climate teaching materials, and the data products and services to track global climate data.

Our World Data provides a complete guide to CO2 and Greenhouse gas emission profiles for individual countries, charting how emissions are changing in each country, reduction progress and statistics.

NCEI provides the world’s largest collection of weather and climate data, including information that’s “land-based, marine, model, radar, weather balloon, satellite, and paleoclimatic” alongside other datasets.

Melting glaciers

Areas of the ocean that have frozen are considered “sea ice,” and can vary from slushy, barely solid areas to sheets of ice that are meters thick.

The Climate Hazards Group InfraRed Precipitation with Station Data (CHIRPS) is a joint project between the US. Geological Survey and UC Santa Barbara.

The National Oceanic and Atmospheric Administration (NOAA), the National Aeronautics and Space Administration (NASA), and the UK Meteorological Office (UK Met) have used detailed station data going back to the 1800s to analyze temperature changes and have all confirmed the warming of our planet.

The Carbon Monitor dataset, led by researchers Zhu Liu, Philippe Ciais and Steven Davis, was created as the first estimate of daily CO2 emissions for six different sectors, including power, ground transportation, industrial production, residential consumption, and maritime and aircraft transportation.

Ongoing Research

The World Climate Research Programme (WCRP) addresses frontier scientific questions related to the climate system. Most critically, WCRP-supported research provides the climate science that underpins the United Nations Framework Convention on Climate Change.

HELIX has assessed climate change impacts and adaptation at global warming of 1.5, 2, 4 and 6°C. They projected future changes at global scale and also looked in more detail in three regions: Europe, Sub-Saharan Africa in the Northern Hemisphere, and the north-East Indian sub-continent.

NCEI is responsible for hosting and providing access to one of the most significant archives on Earth, with comprehensive oceanic, atmospheric, and geophysical data.

Climate Watch offers open data, visualizations and analysis to help policymakers, researchers and other stakeholders gather insights on countries' climate progress.


Climate Extreme Scenario Publications

Goal Partners

World Resources Institute

WRI’s International Climate Action Initiative uses analysis, innovation and partnerships to achieve effective national policies and implement the Paris Agreement on climate change.


Created in 1988 by the World Meteorological Organization (WMO) and the United Nations Environment Programme (UNEP), the IPCC provides governments with scientific information that they can use to develop climate policies.

Group for the Environment, Renewable Energy and Solidarity (GERES)

As an organisation specialising in sustainable and renewable energies, climate change and environmental protection, GERES works for an energy transition, along with natural resource conservation and improved living conditions for local people, both in Europe and in the developing world.

We’re applying Artificial Intelligence and Machine Learning to measure and accelerate progress on the United Nations SDGs. » Learn more

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