DISCHMEX - Observations and simulations of the close-ridge small-scale atmospheric flow field and snow accumulation at Sattelhorn, Dischma valley, Davos, Switzerland.

The data presented here corresponds to the publication "A Close-Ridge Small-Scale Atmospheric Flow Field and its Influence on Snow Accumulation" (Gerber et al., 2017), which investigates an eddy-like structure in the vicinity of the Sattelhorn in the Dischma valley (Davos Switzerland) and its influence on snow accumulation. The dataset contains:

  • Alpine3D: Alpine3D snow depth grids (25 m resolution) for two simulations with and without snow redistribution.
  • ARPS: 10 ARPS simulations (25 m horizontal resolution) with different model setups (wind direction, wind speed, stability).
  • LiDAR: Processed LiDAR PPI (D2_PPI_1h) and RHI (D2_cross_1h) across the valley with a hourly resolution for the period 27 October 2015 01:00 - 29 October 2015c 21:00 (spatial resolution: 25 m).
  • meteostations-dischma: Meteorological station data of two meteorological stations in the Dischma valley with 10 minute resolution for the period 28 October 2015 - 30 October 2015.
  • TLS: Snow depth change data (m) between 28 October 2015 and 30 October 2015 based on terrestrial laser scans.

For more details about the simulation and observation data, see Gerber et al., 2017.

Publication: Gerber et al., 2017: A Close-Ridge Small-Scale Atmospheric Flow Field and its Influence on Snow Accumulation, submitted to JGR - Atmospheres.

Daten und Ressourcen

Zusätzliche Informationen

Identifier
361a9977-c156-485a-b77f-9a7a92e15bac@envidat
Titel für die URL des Datasets
dischmex-observations-and-simulations-of-the-close-ridge-small-scale-atmospheric-flow-field-and
Veröffentlichung des Datasets terminieren
Erstellungsdatum
1. Juni 2017
Änderungsdatum
15. November 2019
Aktualisierungsintervall
-
Zeitliche Abdeckung
-
Publisher-Informationen
Eawag: Swiss Federal Institute of Aquatic Science and Technology
Kontaktstellen
Sprachen
Englisch
Url
https://www.envidat.ch/#/metadata/10-16904-19
Beziehungen
-
Räumlich
Verwandte Datensätze
Schlagwörter
Nutzungsbedingungen
NonCommercialAllowed-CommercialAllowed-ReferenceRequired
Metadatenzugriff
API (JSON) XML herunterladen