The potential for uncertainty in Numerical Weather Prediction model verification when using solid precipitation observations-Reference-Cited by-同舟云学术

The potential for uncertainty in Numerical Weather Prediction model verification when using solid precipitation observations

Published:2020-04-20 Issue:7 Volume:21 Page:
ISSN:1530-261X
Container-title:Atmospheric Science Letters
language:en
Short-container-title:Atmos Sci Lett

Author:

Buisán Samuel T.¹^ORCID,Smith Craig D.²,Ross Amber²,Kochendorfer John³,Collado José Luís¹,Alastrué Javier¹,Wolff Mareile⁴,Roulet Yves‐Alain⁵,Earle Michael E.⁶,Laine Timo⁷,Rasmussen Roy⁸,Nitu Rodica⁹

Affiliation:

1. Delegación Territorial de AEMET (Spanish State Meteorological Agency) en Aragón Zaragoza Spain

2. Environment and Climate Change Canada Saskatoon Saskatchewan Canada

3. National Atmospheric and Oceanic Administration, Air Resources LaboratoryAtmospheric Turbulence and Diffusion Division Oak Ridge Tennessee USA

4. Norwegian Meteorological Institute Oslo Norway

5. Meteoswiss Payerne Switzerland

6. Environment and Climate Change Canada Dartmouth Nova Scotia Canada

7. Finnish Meteorological Institute Helsinki Finland

8. National Center for Atmospheric Research Boulder Colorado USA

9. Environment and Climate Change Canada Toronto Ontario Canada

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asl.976

Reference20 articles.

1. Simulation of Northern Eurasian Local Snow Depth, Mass, and Density Using a Detailed Snowpack Model and Meteorological Reanalyses

2. Assessment of snowfall accumulation underestimation by tipping bucket gauges in the Spanish operational network

3. Using Snowfall Intensity to Improve the Correction of Wind-Induced Undercatch in Solid Precipitation Measurements

4. Ten Years of Science Based on the Canadian Precipitation Analysis: A CaPA System Overview and Literature Review

5. Goodison B.E. Louie P.Y.T.andYang D.(1998)WMO solid precipitation measurement intercomparison. WMO Instruments and Observing Methods Rep. 67 WMO/TD‐872 212 pp.

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