PANGAEA_909880 Daily summary of weather, snow, and preferential-flow conditions at the Snow and Ice Research Center, Nagaoka (Japan) - snow seasons 2006 through 2018 Yamaguchi, Satoru; Hiroyuki, Hirashima; Avanzi, Francesco Daily summary of weather, snow, and preferential-flow conditions at the Snow and Ice Research Center, Nagaoka (Japan) - snow seasons 2006 through 2018 2019-12-11 PANGAEA Dataset Supplement to: Avanzi, Francesco; Johnson, Ryan Curtis; Oroza, Carlos A; Hirashima, Hiroyuki; Maurer, Tessa; Yamaguchi, Satoru (2019): Insights into preferential-flow snowpack runoff using Random Forest. Water Resources Research, https://doi.org/10.1029/2019WR024828 https://doi.pangaea.de/10.1594/PANGAEA.909880 Investigator Satoru Yamaguchi Earth Science DATE/TIME Temperature, air Short-wave downward (GLOBAL) radiation Long-wave downward radiation Snow water equivalent Snow thickness Precipitation, daily total Density, snow Temperature, ice/snow Precipitation, rain Precipitation, snow Day of water year Snowfall days Sensible heat Latent heat Short-wave net radiation Long-wave net radiation Melt rate in water equivalent per day Number of melt events Liquid water content Snow grain size, mean Snow grain size, difference Density, snow, difference Density over grain size, difference Number of layers Layer thickness Runoff Runoff, standard deviation Coefficient of variation Runoff, maximum deviation Runoff geoscientificInformation Japan lysimeters machine learning Monitoring station Nagaoka_SIRC Preferential flow random forest snow Snow and Ice Research Center SNOWPACK 2006-01-05 2018-03-19 Complete 37.41667 37.41667 138.88333 138.88333 unrestricted CC-BY-4.0: Creative Commons Attribution 4.0 International English PANGAEA Data Publisher for Earth & Environmental Science https://www.pangaea.de/ Data Center Contact Michael Diepenbroek info@pangaea.de

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Bremen Bremen 28359 Germany online 28941 data points text/tab-separated-values

This dataset includes daily summaries of weather, snow, and preferential-flow conditions at the Snow and Ice Research Center, Nagaoka (Japan) -- snow seasons 2006 through 2018. The summary comprises 29 candidate predictors (features) of preferential flow as estimated by a weather-snow station, manual snow pits, and a snow model (SNOWPACK) and four metrics of preferential-flow characteristics measured by a multi-compartment lysimeter made by nine 1-m2 cells (standard deviation of mean snowpack runoff, coefficient of variation of mean snowpack runoff, maximum deviation of mean snowpack runoff, and mean snowpack runoff). This dataset was produced during the preparation of the paper ''Insights into preferential-flow snowpack runoff using Random Forest'' (WRR, doi:10.1029/2019WR024828). More details about this dataset can be found in the above mentioned paper. ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.909880"!

http://commons.wikimedia.org/w/index.php?title=Image:Ice-floe_params_hg.png Snow thickness http://en.wikipedia.org/wiki/ISO_8601 DATE/TIME https://doi.org/10.1029/2019WR024828 Insights into preferential-flow snowpack runoff using Random Forest DIF 9.4 2019-12-11 2026-04-30