Saturday, February 24, 2018
 

Unique collaboration works to extend sea ice prediction from days to...

Monica.Allen 0 6524

For more than two decades, Elizabeth Hunke has worked at the Department of Energy’s Los Alamos National Laboratory to design, create and improve a model used to predict sea ice extent, thickness and movement in both the Arctic and Antarctica. From the beginning, Hunke understood that collaboration was the key to improving this model. At a time when sea ice prediction is needed more than ever, NOAA, the Navy and other agencies are working together to extend sea ice prediction from days to decades.


Study: Asian carp could cause some Lake Erie fish to decline, others to...

University of Michigan, NOAA food web study shared with resource managers to help inform decisions

Monica.Allen 0 18518

ANN ARBOR—If they successfully invade Lake Erie, Asian carp could eventually account for about a third of the total weight of fish in the lake and could cause declines in most fish species—including prized sport and commercial fish such as walleye, according to a new computer modeling study by scientists at the University of Michigan, NOAA's Great Environmental Lakes Research Laboratory, other U.S. and Canadian research institutions.

Great Lakes water levels at or above average for next 6 months

NOAA and Army Corps issue forecast, consider El Niño potential impact

Monica.Allen 0 20856
Scientists from NOAA, the U.S. Army Corps of Engineers and Environment Canada have issued a six-month forecast for water levels to be at or above average on Lake Superior, Michigan, Huron, and Erie into spring of 2016. Lake Ontario water levels are expected to remain close to monthly averages. However, the impacts of the anticipated strong El Niño and other atmospheric anomalies on the forecast are difficult to predict.

Tracking harmful algal blooms in Lake Erie

Experimental forecasting tool aids local managers

Anonym 0 12108
As part of efforts to enhance its Experimental Lake Erie Harmful Algal Bloom Bulletin, NOAA is offering the HAB Tracker, a new experimental forecasting tool that aims to aid local managers in decision-making on harmful algal blooms (HABs). The experimental tool is available online on NOAA’s Great Lakes Environmental Laboratory (GLERL) website, and incorporates real-time data with modelling to produce daily an updated 5-day forecast of potential bloom distribution and movement.
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