_version_ 1867168201600663552
author Yamaguchi, Satoru
Hiroyuki, Hirashima
Avanzi, Francesco
author_facet Yamaguchi, Satoru
Hiroyuki, Hirashima
Avanzi, Francesco
collection Datos científicos de ciencias marinas y ambientales
contents 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.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_909880
institution PANGAEA
language en
publishDate 2019
publisher PANGAEA
record_format pangaea
spellingShingle 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
Coefficient of variation; DATE/TIME; Day of water year; Density, snow; Density, snow, difference; Density over grain size, difference; Japan; Latent heat; Layer thickness; Liquid water content; Long-wave downward radiation; Long-wave net radiation; lysimeters; machine learning; Melt rate in water equivalent per day; Monitoring station; MONS; Nagaoka_SIRC; Number of layers; Number of melt events; Precipitation, daily total; Precipitation, rain; Precipitation, snow; Preferential flow; random forest; Runoff; Runoff, maximum deviation; Runoff, standard deviation; Sensible heat; Short-wave downward (GLOBAL) radiation; Short-wave net radiation; snow; Snow and Ice Research Center; Snowfall days; Snow grain size, difference; Snow grain size, mean; SNOWPACK; Snow thickness; Snow water equivalent; Temperature, air; Temperature, ice/snow
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.
title Daily summary of weather, snow, and preferential-flow conditions at the Snow and Ice Research Center, Nagaoka (Japan) - snow seasons 2006 through 2018
topic Coefficient of variation; DATE/TIME; Day of water year; Density, snow; Density, snow, difference; Density over grain size, difference; Japan; Latent heat; Layer thickness; Liquid water content; Long-wave downward radiation; Long-wave net radiation; lysimeters; machine learning; Melt rate in water equivalent per day; Monitoring station; MONS; Nagaoka_SIRC; Number of layers; Number of melt events; Precipitation, daily total; Precipitation, rain; Precipitation, snow; Preferential flow; random forest; Runoff; Runoff, maximum deviation; Runoff, standard deviation; Sensible heat; Short-wave downward (GLOBAL) radiation; Short-wave net radiation; snow; Snow and Ice Research Center; Snowfall days; Snow grain size, difference; Snow grain size, mean; SNOWPACK; Snow thickness; Snow water equivalent; Temperature, air; Temperature, ice/snow
url https://doi.org/10.1594/PANGAEA.909880