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.
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.
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.
Americans’ health, security and economic wellbeing are tied to climate and weather. Every day, we see communities grappling with environmental challenges due to unusual or extreme events related to climate and weather.
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