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<!DOCTYPE HTML><html lang="en"><head> <meta http-equiv="Content-Type" content="text/html;charset=utf-8" /> <link rel="stylesheet" type="text/css" href="https://www.giss.nasa.gov/css/css2104.css" media="all" /> <title>Pubs.GISS: Tedesco et al. 2023: A computationally efficient statistically downscaled 100 m resolution Greenland...</title> <link rel="stylesheet" type="text/css" href="/css/pubs.css" media="all" /> <script src="/js/pubs.js" async="async"></script> <link rel="apple-touch-icon" href="/gfx/apple-touch-icon-180x180.png" /> <link rel="apple-touch-icon-precomposed" href="/gfx/apple-touch-icon-180x180.png" /> <link rel="apple-touch-icon" sizes="192x192" href="/gfx/apple-touch-icon-192x192.png" /> <link rel="apple-touch-icon" sizes="180x180" href="/gfx/apple-touch-icon-180x180.png" /> <link rel="apple-touch-icon" sizes="152x152" href="/gfx/apple-touch-icon-152x152.png" /> <link rel="apple-touch-icon" sizes="128x128" href="/gfx/apple-touch-icon-128x128.png" /> <link rel="apple-touch-icon" sizes="76x76" href="/gfx/apple-touch-icon-76x76.png" /> <meta name="orgcode" content="611" /> <meta name="rno" content="Gavin.A.Schmidt.1" /> <meta name="content-owner" content="Robert.B.Schmunk.1" /> <meta name="webmaster" content="Robert.B.Schmunk.1" /> <meta name="viewport" content="width=956, initial-scale=1" /><script id="_fed_an_ua_tag" src="https://dap.digitalgov.gov/Universal-Federated-Analytics-Min.js?agency=NASA&subagency=GISS&yt=true&dclink=true" async="async"></script> </head><body> <div id="bkg1"><div id="bkg2"></div></div> <div id="page"> <div class="hidden"> <a href="#content" title="Go to Main Content" accesskey="2">Go to Main Content (Accesskey 2)</a><br /><a href="#nav" title="Go to Site Menu" accesskey="3">Go to Site Menu (Accesskey 3)</a></div> <div id="header"> <div id="headerlogo"> <a href="https://www.nasa.gov/"><img src="https://www.giss.nasa.gov/gfx/2013/nasa_x2.png" alt="NASA Logo, National Aeronautics and Space Administration" style="width:140px;height:98px" /></a></div> <div id="centername"> <h1><a href="https://www.nasa.gov/">National Aeronautics and Space Administration</a></h1> <h2><a href="https://www.giss.nasa.gov/">Goddard Institute for Space Studies</a></h2></div> <div id="hierarchy"> <h2><a href="https://www.nasa.gov/goddard/">Goddard Space Flight Center</a><br /><a href="https://science.gsfc.nasa.gov/sci">Sciences and Exploration Directorate</a><br /><a href="https://science.gsfc.nasa.gov/earth">Earth Sciences Division</a></h2></div></div> <div id="paper"> <div id="content"><div id="cpad"><h2>Publication Abstracts</h2> <h3>Tedesco et al. 2023</h3> <p><span class="gissauthor">Tedesco, M.</span>, P. Colosio, X. Fettweis, and G. Cervone, 2023: A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR. <cite>The Cryosphere</cite>, <b>17</b>, no. 12, 5061-5074, doi:10.5194/tc-17-5061-2023.</p> <p>The Greenland Ice Sheet (GrIS) has been contributing directly to sea level rise and this contribution is projected to accelerate over the next decades. A crucial tool for studying the evolution surface mass loss (e.g., surface mass balance, SMB) consists of regional climate models (RCMs) which can provide current estimates and future projections of sea level rise associated with such losses. However, one of the main limitations of RCMs is the relatively coarse horizontal spatial resolution at which outputs are currently generated. Here, we report results concerning the statistical downscaling of the SMB modeled by the Modèle Atmosphérique Régional (MAR) RCM from the original spatial resolution of 6 km to 100 m building on the relationship between elevation and mass losses in Greenland. To this goal, we developed a geospatial framework that allows the parallelization of the downscaling process, a crucial aspect to increase the computational efficiency of the algorithm. Using the results obtained in the case of the SMB, surface and air temperature are assessed through the comparison of the modeled outputs with in situ and satellite measurement. The downscaled products show a considerable improvement in the case of the downscaled product with respect to the original coarse output, with the coefficient of determination (R2) increasing from 0.868 for the original MAR output to 0.935 for the SMB downscaled product. Moreover, the value of the slope and intercept of the linear regression fitting modeled and measured SMB values shifts from 0.865 for the original MAR to 1.015 for the downscaled product in the case of the slope and from the value -235 mm w.e. yr<sup>-1</sup> (original) to -57 mm w.e. yr<sup>-1</sup> (downscaled) in the case of the intercept, considerably improving upon results previously published in the literature.</p> <ul style="padding-top: 0"> <li><a href="http://dx.doi.org/10.5194/tc-17-5061-2023">Go to journal article webpage</a></li> </ul> <p><b>Export citation:</b> [ <a href="javascript:void(0)" onclick="showBibtexCite(1)" onkeypress="showBibtexCite(1)">BibTeX</a> ] [ <a href="javascript:void(0)" onclick="showRisCite(1)" onkeypress="showRisCite(1)">RIS</a> ]</p> <div id="bibtex" class="bibtex"><h4>BibTeX Citation</h4> <pre>@article{te06200a, author={Tedesco, M. and Colosio, P. and Fettweis, X. and Cervone, G.}, title={A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR}, year={2023}, journal={The Cryosphere}, volume={17}, number={12}, pages={5061--5074}, doi={10.5194/tc-17-5061-2023}, } </pre> <p style="font-weight:bold;text-align:center">[ <a href="javascript:void(0)" onclick="hideBibtexCite(1)" onkeypress="hideBibtexCite(1)">Close</a> ]</p></div> <div id="bibtexfade" class="bibtexfade" onclick="hideBibtexCite(1)" onkeypress="hideBibtexCite(1)" tabindex="0"></div> <div id="ris" class="ris"><h4>RIS Citation</h4> <pre>TY - JOUR ID - te06200a AU - Tedesco, M. AU - Colosio, P. AU - Fettweis, X. AU - Cervone, G. PY - 2023 TI - A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR JA - The Cryosphere JO - The Cryosphere VL - 17 IS - 12 SP - 5061 EP - 5074 DO - 10.5194/tc-17-5061-2023 ER - </pre><hr /> <p style="font-weight:bold;text-align:center">[ <a href="javascript:void(0)" onclick="hideRisCite(1)" onkeypress="hideRisCite(1)">Close</a> ]</p></div> <div id="risfade" class="risfade" onclick="hideRisCite(1)" onkeypress="hideRisCite(1)" tabindex="0"></div> <h4 class="goback"><a href="/year/2023.html">• Return to 2023 Publications</a></h4> <h4 class="goback"><a href="/">• Return to Publications Homepage</a></h4> <div class="clear"></div></div></div> <div id="nav"><h3>Site Menu</h3> <ul id="mnav"> <li><a href="https://www.giss.nasa.gov/">GISS Home</a></li> <li><a href="https://www.giss.nasa.gov/research/">News & Features</a> <ul class="mnav2"> <li><a href="https://www.giss.nasa.gov/research/">News & Features 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