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app.html
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<!DOCTYPE html>
<html {{ HTML_ATTRS }}>
<head {{ HEAD_ATTRS }}>
{{ HEAD }}
</head>
<body {{ BODY_ATTRS }}>
<noscript>
<style>
.hide-if-noscript {
display: none;
}
</style>
<div class="section">
<div class="container-fluid">
<div class="content is-size-5">
<div class="block">
<h1 class="title is-1">
Arctic Environmental and Engineering Data and Design Support
System (Arctic-EDS)
</h1>
<p class="intro">
Improving infrastructure resilience requires considering future
climate conditions that may differ from the past. Historical
observations are insufficient—the Arctic is warming four
times faster than the rest of the world.
</p>
<p>
High-resolution downscaled climate models provide valuable
insights into localized climate futures of temperature,
precipitation, and other environmental conditions such as
permafrost, but their output introduces uncertainties to
engineering applications. A systematic approach is needed to
integrate future climate trends into engineering, including
selecting appropriate models, understanding uncertainties, and
addressing variable spatial and temporal scales.
</p>
<p>
<strong>
The Arctic Environmental and Engineering Data and Design
Support System (Arctic-EDS) streamlines the process of using
downscaled climate models for engineering.
</strong>
The Arctic-EDS simplifies and centralizes the process of
finding, selecting, extracting, and formatting downscaled
climate model output: it pre-selects relevant models, simplifies
data extraction, and provides reports with future projections of
climate variables and indices. Data is available for download in
a tabular format, with links to source datasets and academic
references. Example computational notebooks demonstrate how to
apply the data to engineering applications.
</p>
<p>
All downscaled climate model outputs are vulnerable to various
sources of uncertainty, including:
</p>
<ul>
<li>Natural climate variability</li>
<li>
Limited historical climate station data from which to
interpolate gridded baseline datasets and validate modeled
gridded data
</li>
<li>Model assumptions and parameterizations</li>
<li>
Uncertainty regarding future societal and economic behaviors
</li>
<li>
Spatial and temporal resolutions of downscaled climate data
</li>
</ul>
<p>The Arctic-EDS regulates these uncertainties by:</p>
<ul>
<li>
Presenting gridded data from multiple climate models and
emissions scenarios
</li>
<li>Stating spatial and temporal scales of each dataset</li>
<li>Presenting bias-corrected data</li>
</ul>
<p>
No climate model or data processing technique can entirely
eliminate uncertainty, but the Arctic-EDS unlocks data that
shows how future climate conditions might differ from the past.
Each engineering application may require additional steps to
interpret results and apply them to a specific design.
</p>
</div>
<div class="block">
<p class="is-size-4">
<strong
>We’re sorry! This tool doesn’t work properly
without JavaScript enabled. Please enable it to
continue.</strong
>
</p>
<p>With JavaScript enabled, this site allows you to:</p>
<ul>
<li>
Search by community or latitude and longitude pair for
relavant data including temperature, precipitation, and more.
</li>
<li>
Online maps showing the spatial distribution of climate
variables.
</li>
</ul>
<p>
If you need help accessing this content, please email
<a href="mailto:[email protected]"
>.
</p>
</div>
</div>
</div>
<footer />
</div>
</noscript>
<div class="hide-if-noscript">{{ APP }}</div>
</body>
</html>