Summary: Access maps, graphs, and tables describing real-time, recent, and past streamflow conditions for the United States, including Alaska, Hawai'i, and Puerto Rico.

The ozone hole didn't cause global warming, but climate and the ozone hole are related in other ways.

Summary: Drinking water and wastewater utilities of all sizes can use this tool to determine their vulnerability to both man-made and natural hazards and evaluate potential improvements to enhance their security and resiliency.

Summary: In the Northeast, extreme weather events and other climate-driven changes are shaping mitigation and adaptation efforts, such as coastal wetland restoration and changes in fishing behavior. Many climate impacts in the region have disproportionate impacts on low-income communities and communities of color. Cities and states are implementing climate action plans with innovative approaches that embrace inclusive and equitable processes.

Summary: Assess past and current climate conditions using an array of interactive products.

Summary: Researchers can use this resource to assess extreme rainfall return frequency for New York and New England, using an alternate methodology to that used in NOAA Atlas 14.

Summary: Growers in the Northeast can use this website to help make planting, pest management, and a range of other weather- and climate-based agricultural decisions.

Summary: Engineers in New York State can use this website to determine future changes in rainfall recurrence intervals.

For New Englanders, the saying “as American as apple pie” may as well be “as New England as lobster.” But warming sea surface temperatures from climate change are forcing populations of the American lobster to higher latitudes than ever before—and upending fishing communities on the New England coast.  

Sometimes, on a long journey, it’s good to revisit the basics. That’s the theme for this edition of Beyond the Data. We’re going old school, looking at some good old climatology adages and truisms, through the lens of a sturdy, reliable warhorse of a dataset.