Global Atlas of Fraction of Snowfall in Forest

<p><strong>Global Atlas of Fraction of Snowfall in Forest (FSF)</strong></p> <p>The FSF (FSF_11km.tif) is the product of the fraction of snowfall (Snowfall_Fraction*) from ERA5-Land (Mu&ntilde;oz Sabater et al., 2019) with the tree cover (TreeCover_11km.tif) from Hansen et al. (2013).</p> <p>Digital elevation model (DEM_11km.tif) from the Copernicus GLO30 product and K&ouml;ppen-Geiger climate (Koppen_11km.tif) are also provided on the same grid as FSF.</p> <p>The FSF is also averaged per hydrological basin of level 3 in the HydroBasin dataset (Lehner et al., 2013) and mountain range (Snethlage et al., 2022) respectively in data_hybas.geojson and data_gmba.geojson.</p> <p>&nbsp;</p> <p><strong>References</strong></p> <p>Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., Kommareddy, A., Egorov, A., Chini, L., Justice, C. O., Townshend, J. R. G. (2013). High-Resolution Global Maps of 21st-Century Forest Cover Change. <em>Science</em>, <em>342</em>(6160), 850&ndash;853. https://doi.org/10.1126/science.1244693</p> <p>&nbsp;</p> <p>Kottek, M., Grieser, J., Beck, C., Rudolf, B., &amp; Rubel, F. (2006). World Map of the K&ouml;ppen-Geiger climate classification updated. <em>Meteorologische Zeitschrift</em>, <em>15</em>(3), 259&ndash;263. https://doi.org/10.1127/0941-2948/2006/0130</p> <p>&nbsp;</p> <p>Lehner, B., &amp; Grill, G. (2013). Global river hydrography and network routing: baseline data and new approaches to study the world&rsquo;s large river systems. <em>Hydrological Processes</em>, <em>27</em>(15), 2171&ndash;2186. https://doi.org/10.1002/hyp.9740</p> <p>&nbsp;</p> <p>Mu&ntilde;oz Sabater, J. (2019). ERA5-Land monthly averaged data from 1981 to present [Data set]. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). https://doi.org/doi:10.24381/cds.68d2bb30</p> <p>&nbsp;</p> <p>Snethlage, Mark A., Geschke, J., Ranipeta, A., Jetz, W., Yoccoz, N. G., K&ouml;rner, C., et al. (2022). A hierarchical inventory of the world&rsquo;s mountains for global comparative mountain science. <em>Scientific Data</em>, <em>9</em>(1), 149. https://doi.org/10.1038/s41597-022-01256-y</p>