Bias correction of WRF output for operational avalanche forecasting in the Indian Himalayan region
Author:
Funder
Ministry of Education
Snow and Avalanche Study Establishment
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12040-022-01899-w.pdf
Reference35 articles.
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2. Cannon A J 2016 Multivariate bias correction of climate model output: Matching marginal distributions and intervariable dependence structure; J. Clim. 29 7045–7064, https://doi.org/10.1175/JCLI-D-15-0679.1.
3. Cannon A J 2017 Multivariate quantile mapping bias correction: An N-dimensional probability density function transform for climate model simulations of multiple variables; Clim. Dyn. 50 31–49, https://doi.org/10.1007/s00382-017-3580-6.
4. Cannon A J, Sobie S R and Murdock T Q 2015 Bias correction of GCM precipitation by quantile mapping: How well do methods preserve changes in quantiles and extremes?; J. Clim. 28 6938–6959, https://doi.org/10.1175/JCLI-D-14-00754.1.
5. Cui B, Toth Z, Zhu Y and Hou D 2012 Bias correction for global ensemble forecast; Wea. Forecast. 27 396–410, https://doi.org/10.1175/WAF-D-11-00011.1.
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