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Author name: Kristina Kiest

Monitoring the Global Ocean through Ocean Climate Indicators

NOAA’s Climate Monitoring program competitively selected two new three-year projects totaling $855,734 in grants to produce observation-based global and (preferably) regional indices that facilitate monitoring the status, trends, extremes, and variability of ocean physical properties for the benefit of research, predictions, and decision makers. The two new projects join 13 multi-year projects totaling $2.2 million, that were funded last year in the same competition.

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Nitrogen Cycle improvements in the GFDL Earth System Models

In FY 2015, CPO’s Atmospheric Chemistry, Carbon Cycle and Climate (AC4) program funded one new multi-institutional award totaling $1.45 million, which consisted of $400,000 in Grants to universities, $974,874 in other awards to universities, and $95,000 in internal NOAA funding to advance Earth System Models.

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NOAA’s Climate Program Office awards $48M to advance climate research, improve community resilience

The Climate Program Office (CPO), a part of NOAA’s Office of Oceanic and Atmospheric Research (OAR), has awarded 53 new projects conducted by NOAA laboratories and operational centers, universities, and other agency and research partners valued at more than $48 million over the 1-5 year duration of the projects.

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Assessing flood hazards on the U.S. East Coast considering sea level rise and tropical cyclone activity

A new study published in Nature Climate Change on Sept. 21, 2015, and supported by NOAA’s Climate Program Office employs a unique approach to assess flood risk by combining consideration of oceanographic sea level rise (SLR) and tropical cyclone intensity, frequency and duration into a flood index.

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Assessment of NARCCAP model in simulating rainfall extremes using a spatially constrained regionalization method

Greg Carbone, a RISA PI, is co-author on a paper published in the Journal of Climatology. The paper–“Assessment of NARCCAP model in simulating rainfall extremes using a spatially constrained regionalization method”–appeared online on Sept. 14.

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