A Quantile Regression Forests approach for sedigraph-reconstruction and sediment yield calculation


Data set accompanying the publication "Reconstructing five decades of sediment export from two glaciated high-alpine catchments in Tyrol, Austria, using nonparametric regression".

The data set contains 1. the code of the quantile regression forest model applied in the above mentioned manuscript to reconstruct suspended sediment concentrations and yields for the past five decades at the two nested gauges Vernagt (VF) and Vent (V) in the Upper Ötztal, Austria, 2. the preprocessed input data (discharge, precipitation, air temperature and suspended sediment concentrations derived from turbidity measurements) for both gauges, and 3. the model results.

  1. The model code is a modified version of this code: https://github.com/TillF/ssc_prediction (Jan 18th 2022) Modifications:
  2. extended preprocessing steps in different temporal resolutions
  3. includes tuning of aggregation factors, which determine the time span of antecedent hydroclimatic (discharge, temperature, precipitation) conditions included in the calculations

  4. The input data are preprocessed versions of the original data which have been provided by the Hydrographic Service of Tyrol, Austria, and the Bavarian Academy of Sciences and Humanity, Munich, Germany, or are already available online (see table A1 in the appendix of the above mentioned manuscript for details):

  5. gaps have been filled as far as possible, which includes combining and converting data from different stations, and
  6. the data have been aggregated or disaggregated to achieve consistent temporal resolutions.

  7. The model results can be found in the folder GAUGE_NAME/reconstruction_model/5_model_application/MC_01

  8. in the temporal resolution of the model (i.e. daily or hourly) as one table per year (e.g. flood_periods_quantForest_GAUGE_NAME_hist1.txt)
  9. aggregated to annual suspended sediment yields (flood_periods_quantForest_GAUGE_NAME.txt)
DOI https://doi.org/10.23728/b2share.78cdc99c8d454d8894c086a01f561627
Source https://b2share.eudat.eu/records/78cdc99c8d454d8894c086a01f561627
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/78cdc99c8d454d8894c086a01f561627
Creator Schmidt, Lena Katharina; Grosse, Peter Martin; Francke, Till
Contributor Christoph Mayer; Matthias Siebers; Hydrographic Service of Tyrol, Austria
Publication Year 2022
Funding Reference Deutsche Forschungsgemeinschaft NatRiskChange GRK 2043/1 and GRK 2043/2
Rights GNU General Public License 3 (GPL-3.0); info:eu-repo/semantics/openAccess
OpenAccess true
Contact leschmid(at)uni-potsdam.de
Format zip
Size 419.5 MB; 1 file
Discipline 3.3.2 → Earth sciences → Environmental science; 3.3.9 → Earth sciences → Geomorphology; 3.3.13 → Earth sciences → Hydrology
Spatial Coverage (10.911 LON, 46.857 LAT); Rofental, Ötztal, Tyrol, Austria
Temporal Coverage 1966-12-31T23:00:00.000Z 2020-12-29T23:00:00.000Z