Meteorological data used to develop and validate the bias-detecting ensemble (BDE)

These data were used to drive and evaluate Jules Investigation Model (JIM) snow simulations. The data provided are the forcing data used for the "deterministic" runs as described in Winstral et al., 2019. The bias-detecting ensemble (Winstral et al., 2019) used observed snow depths (HS) to detect biases in these deterministic simulations related to precipitation and energy inputs to JIM. Simulations that included the BDE evaluations substantially improved JIM simulations.

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Identifier
04470a99-93e5-499d-b869-6c30dffdc2f5@envidat
Titel für die URL des Datasets
meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde
Veröffentlichung des Datasets terminieren
Erstellungsdatum
8. Januar 2019
Änderungsdatum
23. August 2021
Aktualisierungsintervall
-
Zeitliche Abdeckung
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Publisher-Informationen
Eawag: Swiss Federal Institute of Aquatic Science and Technology
Kontaktstellen
Sprachen
Englisch
Url
https://www.envidat.ch/#/metadata/meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde
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