Evaluation of the skill of North-American Multi-Model Ensemble (NMME) Global Climate Models in predicting average and extreme precipitation and temperature over the continental USA-Reference-Cited by-同舟云学术

Evaluation of the skill of North-American Multi-Model Ensemble (NMME) Global Climate Models in predicting average and extreme precipitation and temperature over the continental USA

Published:2016-08-04 Issue:12 Volume:53 Page:7381-7396
ISSN:0930-7575
Container-title:Climate Dynamics
language:en
Short-container-title:Clim Dyn

Author:

Slater Louise J.,Villarini Gabriele,Bradley Allen A.

Funder

Climate Program Office

U.S. Army Corps of Engineers

U.S. Geological Survey

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

http://link.springer.com/article/10.1007/s00382-016-3286-1/fulltext.html

Reference61 articles.

1. Becker E, Van den Dool H, Zhang Q (2014) Predictability and forecast skill in NMME. J Clim 27(15):5891–5906. doi: 10.1175/JCLI-D-13-00597.1

2. Boer GJ, Kharin VV, Merryfield WJ (2013) Decadal predictability and forecast skill. Clim Dyn 41(7–8):1817–1833. doi: 10.1007/s00382-013-1705-0

3. Bradley AA, Schwartz SS (2011) Summary verification measures and their interpretation for ensemble forecasts. Mon Weather Rev 139(9):3075–3089. doi: 10.1175/2010MWR3305.1

4. Bradley AA, Habib M, Schwartz SS (2015) Climate index weighting of ensemble streamflow forecasts using a simple bayesian approach. Water Res Res 51(9):1–49. doi: 10.1002/2014WR016811

5. Daly C, Gibson WP, Taylor GH, Johnson GL, Pasteris P (2002) A knowledge-based approach to the statistical mapping of climate. Clim Res 22(9):99–113

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