NCAR develops flood prediction tool

serbia floods

BOULDER, CO — The National Center for Atmospheric Research (NCAR) recently reported results of its first round of testing for a new detection system they believe will better forecast potential flooding, according to an article on the organizations website.

Using weather forecasting tools integrated with hydrologic models in new ways, the STEP (Short-term Explicit Prediction) Hydromet Experiment was tested July 7 through August 15 in the Front Range of Colorado where heavy flooding occurred in 2013.

“There’s still a lot of research ahead to see why the heaviest rainbands align the way they do in events like this,” said Rita Roberts, one of the principal investigators.

The results are still being reviewed, but NCAR hopes to adapt STEP for other commonly flooded areas.

The project aims to provide greater action times for the public and decision makers before a flood.

“Flash floods are a worldwide issue,” Roberts added. “At NCAR, we’re pulling together capabilities we’ve developed across the center and working to develop a system that can be used elsewhere.”

To read the full article, please click here.

Cleanfax Staff

Cleanfax provides cleaning and restoration professionals with information designed to help them manage and grow their businesses.

Follow Cleanfax Staff

Related Posts

Share This Article

Join Our Newsletter

Expert Videos

Popular Content


CoreLogic: Spearheading Innovation and Technology in the Restoration Industry


Insurance Restoration Strategies Unlocked: How to Identify & Conquer Top Challenges in the Industry

AI sales

Is AI Going to Be the Death of the Salesperson?

Grow your social media

The Digital Marketing Demystified Series—Part 2: Grow Your Business with Social Media

Digital Marketing - Part 1

The Digital Marketing Demystified Series—Part 1: World Class Email Marketing


As a restoration contractor, does it concern you that some insurance companies are dropping coverage in certain states, such as California and Florida?

View Results

Loading ... Loading ...