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

Description

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.

Resources

Name Format Description Link
74 https://www.envidat.ch/dataset/meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde/resource/30d1a503-fd18-43a5-9af9-e0e0f1855272
74 https://www.envidat.ch/dataset/meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde/resource/705365e0-bdd9-4dca-966d-e8f9b9b7ede5
57 https://www.envidat.ch/dataset/meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde/resource/d1a89df0-4991-48a0-8fbc-35f72afb953e
57 https://www.envidat.ch/dataset/meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde/resource/282b7bc4-a607-4927-a2fd-858610a973c8

Tags

  • jim
  • snow-depth
  • snow
  • snow-simulation
  • jules-investigation-model

Topics

  • EDUC

Categories