de.pangaea.dataset909880 und dataset PANGAEA

info@pangaea.de

https://www.pangaea.de/ information pointOfContact 2026-04-30T22:01:36Z https://doi.pangaea.de/10.1594/PANGAEA.909880 2019-12-11T08:29:22 publication https://doi.org/10.1594/PANGAEA.909880 Yamaguchi, Satoru https://orcid.org/0000-0001-9972-0443 information author Hiroyuki, Hirashima author Avanzi, Francesco

francesco.avanzi@polimi.it

https://orcid.org/0000-0003-4235-2373 information author PANGAEA

info@pangaea.de

https://www.pangaea.de/ information publisher tableDigital 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 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. completed Yamaguchi, Satoru https://orcid.org/0000-0001-9972-0443 information principalInvestigator Japan lysimeters machine learning Preferential flow random forest snow SNOWPACK theme 1995-01-01 creation PANGAEA

info@pangaea.de

https://www.pangaea.de/ information pointOfContact copyright copyright CC-BY-4.0: Creative Commons Attribution 4.0 International textTable und geoscientificInformation 138.88333 138.88333 37.41667 37.41667 2006-01-05T00:00:00 2018-03-19T00:00:00 DATE/TIME thematicClassification Temperature, air physicalMeasurement °C °C Short-wave downward (GLOBAL) radiation physicalMeasurement W/m**2 W/m**2 Long-wave downward radiation physicalMeasurement W/m**2 W/m**2 Snow water equivalent physicalMeasurement mm mm Snow thickness physicalMeasurement m m Precipitation, daily total physicalMeasurement mm/day mm/day Density, snow physicalMeasurement bulk-snow kg/m**3 kg/m**3 Temperature, ice/snow physicalMeasurement snow surface °C °C Precipitation, rain physicalMeasurement mm mm Precipitation, snow physicalMeasurement mm mm Day of water year physicalMeasurement accumulated starting from October 1 day day Snowfall days physicalMeasurement no. to date days days Sensible heat physicalMeasurement J/m**2 J/m**2 Latent heat physicalMeasurement J/m**2 J/m**2 Short-wave net radiation physicalMeasurement J/m**2 J/m**2 Long-wave net radiation physicalMeasurement J/m**2 J/m**2 Melt rate in water equivalent per day physicalMeasurement total surface melt input mm w.e./day mm w.e./day Number of melt events physicalMeasurement of previous large melt events # # Liquid water content physicalMeasurement Bulk LWC in vol% % % Snow grain size, mean physicalMeasurement mm mm Snow grain size, difference physicalMeasurement mean, across adjacent layers mm mm Snow grain size, difference physicalMeasurement max, across adjacent layers mm mm Density, snow, difference physicalMeasurement mean, across adjacent layers kg/m**3 kg/m**3 Density, snow, difference physicalMeasurement max, across adjacent layers kg/m**3 kg/m**3 Density over grain size, difference physicalMeasurement mean, across adjacent layers kg/m**3/mm kg/m**3/mm Density over grain size, difference physicalMeasurement max, across adjacent layers kg/m**3/mm kg/m**3/mm Number of layers physicalMeasurement # # Layer thickness physicalMeasurement mean m m Runoff physicalMeasurement simulated snowpack runoff mm/day mm/day Runoff, standard deviation physicalMeasurement of mean snowpack runoff (observed) mm/day mm/day Coefficient of variation thematicClassification of mean snowpack runoff (observed) Runoff, maximum deviation physicalMeasurement of mean snowpack runoff (observed) mm/day mm/day Runoff physicalMeasurement mean snowpack runoff (observed) mm mm text/tab-separated-values unknown https://doi.pangaea.de/10.1594/PANGAEA.909880?format=textfile download dataset The data set was checked for completeness, correctness, and consistency of metainformation. Validity of used methods was checked and - if applicable - precision and range of data. EVENT LABEL: Nagaoka_SIRC (Snow and Ice Research Center) * LATITUDE: 37.416670 * LONGITUDE: 138.883330 * ELEVATION: 97.0 m * LOCATION: Japan * METHOD/DEVICE: Monitoring station