<h2>Climate Variability in the Arctic</h2>
 <p> <strong>Researcher:</strong> </strong>Uma Bhatt<br />
        <strong>Funding Source: </strong>IARC/NSF<br />
        <strong>Collaborators:</strong> </strong>Igor Polyakov, Xiangdong Zhang, Vladimir Alexeev, Student
      Rebecca Legatt</p>
<p > The goal of this project is to gain a better understanding of the role of multi-decadal (MDV) processes and greenhouse warming in climate variations over the last century. This research primarily uses observations, but climate models will be analyzed to test mechanisms. </p>
      <p > This work will employ a vast database of long-term arctic observations taken in the atmosphere and ocean. These data are analyzed using standard climate techniques, new methods developed in petroleum science, and tools from non-linear dynamics. The IPCC ensemble of climate model output will be used to test hypotheses developed from the analysis of observations. Analyzing the climate models also contributes to climate community knowledge because the models are evaluated and compared. </p>
      <p > The outcomes of this project include:</p>
      <ul>
        <li>  Better understanding of the patterns of climate variability associated with MDV and the
          long-term trend.</li>
        <li> Documentation of the spatial patterns (e.g., sea level pressure, temperature) of the warming
          of the 1930s versus the 2000s. </li>
      </ul>
      <p > This research lends itself well to a bigger picture view of climate in the Arctic. This research investigates observations from the ice-ocean-atmosphere system to develop hypotheses about how the climate operates. These hypotheses can then be tested using climate model output. Analyzing the climate models contributes to greater climate community knowledge since the models are evaluated and compared to observations. </p>