text: import React from "react"
  import LandingPage from "../components/landingpage"
  import WebtoolLink from "../components/webtool_link"
  import ActivitiesHighlighted from "../components/activities_highlighted"
  import Seo from "../components/seo"
  
  const IndexPage = () => (
    <LandingPage>
      <Seo title="Home" />
      <div className="container">
        <div className="row">
          <div className="col-md-8">
            <h1>Project Context</h1>
            <p>
              Arctic Ocean sea ice has been declining for several decades now.
              As the ice retreats, more open water is exposed. This reduces
              the amount of light reflected back from the Arctic and leads to
              further Arctic warming and sea ice loss. This particular
              phenomena contributes to the amplification of warming across
              Arctic regions, which is changing the regular connections
              between river water and atmospheric circulation, and
              consequently the heat and energy flowing into the Arctic Ocean.
            </p>
            <p>
              Modern observations of Arctic river flow, and estimates of
              associated heat budgets, rarely extend back more than several
              decades. These records are too short and discontinuous to fully
              quantify the long-term trends in freshwater flow and heat
              budgets. This makes it difficult to understand the processes
              underlying those trends.
            </p>
            <p>
              The TRISH project is designed to fill that gap by utilizing
              tree-ring records and river gauge data in the Arctic to
              reconstruct and study multi-century fluctuations of water, heat
              and energy flow to the Arctic Ocean.
            </p>
            <p>
              We use a wide array of existing and newly collected tree-ring
              data from Siberia, coupled with a long record of river gauge data,
              to develop and test reconstructions of water flow and heat
              budgets for the Yenisei River, the second largest river of the
              Arctic.
            </p>
            <p>
              Causal attribution of spatial-temporal variations of river
              hydrology requires consideration of changing snowmelt, thawing
              permafrost, and modification of natural flow regimes by dams and
              reservoirs. These considerations are addressed with the New
              Hampshire University Water Balance Model. By engaging with
              multiple layers of instrumental and modeled data updated to 2020
              (e.g., climatic, hydrologic, anthropogenic, General Circulation
              Model (GCM) outputs) the team is using over 300 Siberian tree-ring
              records to reconstruct river discharge and water
              temperature for the last 300 years.
            </p>
          </div>
          <div className="col-md-4 bg-cool-gray">
            <WebtoolLink />
            <h2>Highlighted Activities</h2>
            <ActivitiesHighlighted />
          </div>
        </div>
      </div>
    </LandingPage>
  )
  
  export default IndexPage
  