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Modeling, Analysis, Predictions and Projections (MAPP)

Women’s History Month: A conversation with Dr. Allison Wing

In honor of Women’s History Month, we are profiling female staff and scientists who work at the NOAA Climate Program Office (CPO) or are funded by NOAA CPO. Dr. Allison Wing, the subject of this interview, works as an assistant professor in the Department of Earth, Ocean and Atmospheric Science (EOAS) at Florida State University. She also holds an appointment as an adjunct associate research scientist at Lamont-Doherty Earth Observatory.

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Dr. Angeline Pendergrass

Women’s History Month: A conversation with Dr. Angeline Pendergrass

In honor of Women’s History Month, NOAA is highlighting a few of its female scientists and funded researchers who are making significant strides in the climate sciences and other science fields. The following interview features Dr. Angeline Pendergrass, Assistant Professor in the Department of Earth and Atmospheric Science at Cornell University and Project Scientist I at the National Center for Atmospheric Research (NCAR). She is a co-lead of the NOAA CMIP6 Task Force, which is funded by the NOAA Climate Program Office’s Modeling, Analysis, Predictions, and Projections (MAPP) Program. She focuses on extreme precipitation and its response to climate variability and change.

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Women’s History Month: A conversation with Dr. Elizabeth Barnes

In honor of Women’s History Month, NOAA is highlighting a few of its female scientists and funded researchers who are making significant strides in the climate sciences and other science fields. The following interview is with Dr. Elizabeth Barnes, Associate Professor in the Department of Atmospheric Science at Colorado State University. Her research is funded in part by the NOAA Climate Program Office’s Modeling, Analysis, Predictions, and Projections (MAPP) Program. She focuses on climate variability and change, and how data science can help improve our understanding.

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Positive cloud feedback causing high sensitivity climate models to be less plausible for future climate projections

Cloud feedback refers to the response of clouds to surface temperature change. A positive cloud feedback would amplify greenhouse gas-induced warming and have a stronger cooling effect from aerosol‐cloud interactions. Uncertainties in predicting cloud feedbacks are the largest cause of spread in model predictions of future global warming.

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Powerful New Software Helps Expedite Weather and Climate Forecasting Improvements

Weather and climate models are an essential part of predicting extreme weather events and projecting future changes in climate. Since these models can enable better disaster preparedness and reduce risks related to extreme weather, it is important to ensure that their simulations include limited bias or error.

Powerful New Software Helps Expedite Weather and Climate Forecasting Improvements Read More »

Increasing Summertime Cloudiness May Lead to More Sea Ice Melt in the Arctic

Accurately simulating summertime large-scale circulation, as well as the cloud response to circulation, is a critical step toward increasing the reliability of seasonal sea ice forecasts and the rate of future sea ice loss.

Increasing Summertime Cloudiness May Lead to More Sea Ice Melt in the Arctic Read More »

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