Update Research of the Remote Arctic to reflect that Huo et al., (202…

…4) has been published

research/research-of-the-remote-arctic/index.html

@@ -50,12 +50,12 @@
 of study.</p><p>DART_LAB is a set of instructional materials designed to teach new users the fundamentals of data
 assimilation. &ldquo;As a user of DART, I like DART_LAB the most because it allows me to play around with
 different &lsquo;knobs&rsquo; and better understand how and why each of them can remove biases in model
-simulations and makes the assimilation perform better,&rdquo; said Huo.</p><p>In an article that is currently in review for publication in the Journal of Geophysical Research:
-Biogeosciences, Huo worked with a team that used DART to assimilate two data sources into CLM to
-assess the model&rsquo;s fidelity in Alaska and Western Canada. The first data source she assimilated was
-Leaf Area Index (LAI), or the ratio of leaf area to ground surface area inferred from a remote
-sensing instrument, in this case the Moderate Resolution Imaging Spectroradiometer. The second data
-source she assimilated was a machine learning product that estimated aboveground biomass.</p><p>The experiment compared CLM&rsquo;s estimates of Gross Primary Productivity (GPP) — how much carbon is
+simulations and makes the assimilation perform better,&rdquo; said Huo.</p><p>In an article published in the Journal of Geophysical Research: Biogeosciences, Huo worked with a
+team that used DART to assimilate two data sources into CLM to assess the model&rsquo;s fidelity in Alaska
+and Western Canada. The first data source she assimilated was Leaf Area Index (LAI), or the ratio of
+leaf area to ground surface area inferred from a remote sensing instrument, in this case the
+Moderate Resolution Imaging Spectroradiometer. The second data source she assimilated was a machine
+learning product that estimated aboveground biomass.</p><p>The experiment compared CLM&rsquo;s estimates of Gross Primary Productivity (GPP) — how much carbon is
 photosynthesized per year in a given area — both with and without data assimilation. This
 methodology allowed Huo&rsquo;s team to obtain a benchmark of the model&rsquo;s default behavior and compare it
 against the model&rsquo;s behavior when independent observational data was used as a constraint. Huo&rsquo;s
@@ -73,8 +73,9 @@
 the net carbon fluxes from land as input to the atmosphere.&rdquo;</p><p>Addressing these questions will require international collaboration among a new generation of
 scientists, akin to those who developed the current suite of land surface models a generation ago.
 Huo will surely relish the opportunity to contribute.</p><h3 id=references>References</h3><p>Huo, X., A. M. Fox, H. Dashti, C. Devine, W. Gallery, W. K. Smith, B. Raczka, J. L. Anderson,
-A. Rogers, D. J. P. Moore, 2024: Assimilating leaf area index and aboveground biomass reveals new
-processes in carbon update in the Arctic and Boreal Region. <em>JGR Biosciences</em> (in review).</p><p>Rogers, A., S. P. Serbin, K. S. Ely, and S. D. Wullschleger, 2019: Terrestrial biosphere models may
+A. Rogers, D. J. P. Moore, 2024: Integrating State Data Assimilation and Innovative Model
+Parameterization Reduces Simulated Carbon Uptake in the Arctic and Boreal Region. <em>JGR Biosciences</em>,
+<strong>129</strong>, e2024JG008004, <a href=https://doi.org/10.1029/2024JG008004>doi.org/10.1029/2024JG008004</a>.</p><p>Rogers, A., S. P. Serbin, K. S. Ely, and S. D. Wullschleger, 2019: Terrestrial biosphere models may
 overestimate Arctic CO2 assimilation if they do not account for decreased quantum yield and
-convexity at low temperature. <em>New Phytologist</em>, <strong>223</strong>, 167–179
+convexity at low temperature. <em>New Phytologist</em>, <strong>223</strong>, 167–179,
 <a href=https://doi.org/10.1111/nph.15750>doi.org/10.1111/nph.15750</a>.</p></div><div class="col-lg-4 mx-auto"><a href=https://dart.ucar.edu/images/featured-articles/xueli-huo.jpg><img class=img-fluid src=https://dart.ucar.edu/images/featured-articles/xueli-huo.jpg></a><p>Xueli Huo stands in front of Green Mountain.</p></div></div></div></section></main><footer class=site-footer><div class=container><div class=row><div class="col-lg-2 col-md-4"><div class=site-footer-widget><h5 class=site-footer-widget-title>Contact Info</h5><p class=site-footer-widget-description>1850 Table Mesa Dr.<br>Boulder, CO 80305<br><br><a href=mailto:[email protected]>[email protected]</a></p></div></div><div class="col-lg-2 col-md-4"><div class=site-footer-widget><h5 class=site-footer-widget-title>Sitemap</h5><ul class=site-footer-widget-links><li><a href=https://dart.ucar.edu/about>About Us</a></li><li><a href=https://dart.ucar.edu/research>Research</a></li><li><a href=https://dart.ucar.edu/tutorials>Tutorials</a></li><li><a href=https://dart.ucar.edu/contact>Contact</a></li></ul></div></div><div class="col-lg-2 col-md-4"><div class=site-footer-widget><h5 class=site-footer-widget-title>Research</h5><ul class=site-footer-widget-links><li><a href=https://dart.ucar.edu/research>Featured Projects</a></li><li><a href=https://dart.ucar.edu/publications>Publications</a></li><li><a href=https://dart.ucar.edu/presentations>Presentations</a></li></ul></div></div><div class="col-lg-4 col-md-6"><div class=site-footer-nsf>This material is based upon work supported by the NSF National Center for Atmospheric Research, a major facility sponsored by the U.S. National Science Foundation and managed by the University Corporation for Atmospheric Research. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.</div></div><div class="col-lg-2 col-md-6"><div class=site-footer-logo><a href=https://nsf.gov><img src=https://dart.ucar.edu/images/ncar-koru/footer-logo-nsf.png alt=logo-footer></a></div></div></div></div></footer><script src=https://dart.ucar.edu/js/vendor.min.js></script><script src=https://dart.ucar.edu/js/script.min.js></script><footer class=ucar-footer><div class=container><div class=row><div class="col-lg-1 col-md-4"><div class=ucar-footer-widget><center>© 2024 UCAR</center></div></div><div class="col-lg-1 col-md-4"><div class=ucar-footer-widget><h6><a href=https://www.ucar.edu/privacy-notice>Privacy</a></h5></div></div><div class="col-lg-1 col-md-4"><div class=ucar-footer-widget><h6><a href=https://www.ucar.edu/cookie-other-tracking-technologies-notice>Cookies</a></h5></div></div><div class="col-lg-1 col-md-4"><div class=ucar-footer-widget><h6><a href=https://www.ucar.edu/accessibility>Accessibility</a></h5></div></div><div class="col-lg-2 col-md-4"><div class=ucar-footer-widget><h6><a href=https://www.ucar.edu/terms-of-use>Terms of Use</a></h5></div></div><div class="col-lg-2 col-md-4"><div class=ucar-footer-widget><h6><a href=https://www.ucar.edu/notification-copyright-infringement-digital-millenium-copyright-act>Copyright Issues</a></h5></div></div><div class="col-lg-2 col-md-4"><div class=ucar-footer-widget><center><h6><a href=https://nsf.gov>Sponsored by NSF</a></h5></center></div></div><div class="col-lg-1 col-md-4"><div class=ucar-footer-widget><h6><a href=https://ncar.ucar.edu>NCAR Home</a></h5></div></div><div class="col-lg-1 col-md-4"><div class=ucar-footer-widget><h6><a href=https://www.ucar.edu>UCAR Home</a></h5></div></div></div></div></div></footer></body></html>