Characterizing and avoiding physical inconsistency generated by the application of univariate quantile mapping on daily minimum and maximum temperatures over Hudson Bay-Reference-Cited by-同舟云学术

Characterizing and avoiding physical inconsistency generated by the application of univariate quantile mapping on daily minimum and maximum temperatures over Hudson Bay

Published:2019-12-28 Issue:8 Volume:40 Page:3868-3884
ISSN:0899-8418
Container-title:International Journal of Climatology
language:en
Short-container-title:Int J Climatol

Author:

Agbazo Médard Noukpo¹^ORCID,Grenier Patrick¹²^ORCID

Affiliation:

1. Centre pour l'Étude et la Simulation du Climat à l'Échelle Régionale (ESCER)Université du Québec à Montréal (UQAM) Montréal Canada

2. Groupe Scénarios et services climatiques, Ouranos Montréal Canada

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/joc.6432

Reference46 articles.

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3. ENSO representation in climate models: from CMIP3 to CMIP5

4. Physical constraints for temperature biases in climate models

5. Multivariate Bias Correction of Climate Model Output: Matching Marginal Distributions and Intervariable Dependence Structure

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