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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">gesj</journal-id><journal-title-group><journal-title xml:lang="en">GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY</journal-title><trans-title-group xml:lang="ru"><trans-title>GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2071-9388</issn><issn pub-type="epub">2542-1565</issn><publisher><publisher-name>Russian Geographical Society</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.24057/2071-9388-2025-3737</article-id><article-id custom-type="elpub" pub-id-type="custom">gesj-3993</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>RESEARCH PAPER</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>A Review Of Upscaling Algorithms For Flow Direction Rasters</article-title><trans-title-group xml:lang="ru"><trans-title></trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Uzhegov</surname><given-names>Mikhail V.</given-names></name></name-alternatives><bio xml:lang="en"><p>Leninskie Gory 1, Moscow, 119991</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Entin</surname><given-names>Andrey L.</given-names></name></name-alternatives><bio xml:lang="en"><p>Leninskie Gory 1, Moscow, 119991</p></bio><email xlink:type="simple">aentin@geogr.msu.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>Department of Cartography and Geoinformatics, Faculty of Geography, Lomonosov Moscow State University</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>08</day><month>04</month><year>2025</year></pub-date><volume>18</volume><issue>1</issue><fpage>89</fpage><lpage>96</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Uzhegov M.V., Entin A.L., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Uzhegov M.V., Entin A.L.</copyright-holder><copyright-holder xml:lang="en">Uzhegov M.V., Entin A.L.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ges.rgo.ru/jour/article/view/3993">https://ges.rgo.ru/jour/article/view/3993</self-uri><abstract><p>Modern Earth system models and global hydrological models require input data in the form of flow direction grids (rasters) with a relatively low resolution. Typical resolution for these models is about 0.5–1°. At high resolution, up to 1 km cell size, flow direction grids are usually generated from digital elevation models (DEMs), but for coarse-resolution grids, more specialized approaches need to be used. In this paper we review upscaling methods for flow direction grids, including grid-based flow tracing, catchment area aggregation and vector network processing. We also indicate methods that have been used to create publicly available datasets in global coverage (DRT and IHU), and provide links to these datasets. The paper also considers methods for estimating the result of flow direction generation on coarse-resolution grids, as well as the results of applying these estimates to existing methods. It is shown that the task of estimating the result requires further development, including the development of new estimation methods and comparative comparison of the most modern upscaling approaches.</p></abstract><kwd-group xml:lang="en"><kwd>flow direction</kwd><kwd>upscaling</kwd><kwd>generalization</kwd><kwd>Earth system models</kwd></kwd-group><funding-group><funding-statement xml:lang="en">The work is supported by the grant of the Russian Science Foundation, project no. 23-27-00232.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Danko D.M. (1991). The digital chart of the world project. In: Proceedings of the Eleventh Annual ESRI User Conference, 1, 169–180.</mixed-citation><mixed-citation xml:lang="en">Danko D.M. (1991). The digital chart of the world project. 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