Andrew Light, WRI Distinguished Senior Fellow, joined C-SPAN’s Washington Journal to discuss the effects of climate change, U.S. national and subnational climate policy, and the implications of withdrawing from the Paris Agreement.
Aqueduct Global Maps 3.0 Data include indicators of water quantity, water variability, water quality, ESG risk, and access to water.
This data ranks countries and their subnational areas – like states and provinces – by several water risk indicators, including baseline water stress and drought risk.
Building on our Green Climate Fund Contributions Calculator 1.0, this Calculator 2.0 allows you to see contributions made to the current round of funding as well as explore potential divisions of contributions.
Between 1850 and 1960, the world generally experienced a constant growth of emissions, due largely to industrialization and population growth, particularly in the United States.
This visualization shows key findings from a new WRI report, Shifting Currents: Opportunities For Low-Carbon Electric Cities In The Global South, that highlights which cities are ripe to electrify and which should prioritize a different path to decarbonization.
This graphic shows a summary of progress towards 22 milestones across six key sectors, which were identified as needing to be achieved by 2020 in order to bend the curve in global greenhouse gas emissions and put the world on a pathway consistent with the Paris Agreement.
Dr. Andrew Steer, WRI’s President & CEO, shared insights on stories related to the environment, economy, and international dynamics in the coming year.
Many people point to renewable energy as the greatest threat facing fossil fuel power plants. New WRI research finds that the real threat may be water.
Countries urgently need to increase funding for the Green Climate Fund (GCF) to ensure it delivers predictable support for advancing climate action in developing countries. How much should each country give? This calculator allows you to explore potential divisions of financial contributions, using objective data.
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