Researchers construct a model of impact for El Nino

  • Thread starter Thread starter Sheppie
  • Start date Start date
  • Tags Tags
    Impact Model
Click For Summary
SUMMARY

Researchers from the U.S. and Europe have developed a predictive model for flooding risks associated with El Niño and La Niña events, as detailed in their paper published in the Proceedings of the National Academy of Sciences. By analyzing weather data from 1959 to 2000 and correlating it with economic impacts from flooding, the model identifies areas at increased risk during these weather phenomena. The findings indicate that 34% of the Earth's surface experiences abnormal flooding during El Niño, while this figure rises to 38% during La Niña events.

PREREQUISITES
  • Understanding of El Niño and La Niña weather patterns
  • Familiarity with statistical modeling techniques
  • Knowledge of flood impact assessment methodologies
  • Experience with historical weather data analysis
NEXT STEPS
  • Research advanced statistical modeling techniques for environmental data
  • Explore the use of machine learning in predicting weather-related disasters
  • Study the economic impacts of flooding in various geographical regions
  • Investigate historical weather data sources and their applications in climate science
USEFUL FOR

Climate scientists, environmental researchers, disaster management professionals, and policymakers focused on flood risk assessment and mitigation strategies.

Sheppie
Messages
5
Reaction score
0
Earth is changing constantly and there is still so much we don't know about it.

Researchers construct a model of impact for El Nino / La Nina events
17 hours ago by https://sciencex.com/authors/bobyirka/
Phys.org) —A small team made up of researchers from the U.S. and Europe has constructed a model that helps map parts of the world that are most at risk of flooding due to El Niño/La Niña events. In their paper published in Proceedings of the National Academy of Sciences, the team describes how they compared weather data over the past half century with economic impacts of actual floods to create a model that may soon be used to help predict flooding events in the future.
By now, most everyone has heard about El Niño/La Niña weather events— El Niño is where warm water west of South America causes more rain to fall in some places. La Niña is where the same waters are cooler than normal resulting in different changes to rain patterns. Perhaps less well known is that such events have a worldwide impact, causing more flooding than normal in some parts of the world and less in others. Oftentimes the flooding that occurs results in damage to property and loss of life, thus it would be a good thing if forecasts could be made, warning people in areas most at risk. Unfortunately, up till now, such forecasts have not been available because such events don't always cause the same types of flooding in the same places. In this new effort, the researchers sought to provide a model for building such a forecasting ability by using data over a long period of time.

The research team obtained weather data for the years 1959 to 2000, pulling out periods of El Niño/La Niña weather events which they then compared with reports of damage due to flooding. Next they compared those results with flood reports during normal times and used what they found to create a model. The model showed that during El Niño events, 34 percent of the Earth's surface had higher or lower than normal amounts of flooding—that number jumped to 38 percent for La Niña weather events.
Read more at: http://phys.org/news/2014-10-impact-el-nino-la-nina.html#jCp
http://www.sciencedaily.com/releases/2014/10/141021125943.htm
http://geology.com/below-sea-level/
http://www.scienceclarified.com/Di-El/Earth-Science.html
 
Earth sciences news on Phys.org

Similar threads

  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 54 ·
2
Replies
54
Views
13K
  • · Replies 27 ·
Replies
27
Views
4K
Replies
1
Views
6K
Replies
1
Views
6K
  • · Replies 7 ·
Replies
7
Views
8K
  • · Replies 33 ·
2
Replies
33
Views
20K
  • · Replies 2 ·
Replies
2
Views
4K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 4 ·
Replies
4
Views
3K