Back to Search Start Over

The Setup of the MesoVICT Project.

Authors :
Dorninger, Manfred
Gilleland, Eric
Brown, Barbara G.
Casati, Barbara
Wilson, Laurence J.
Mittermaier, Marion P.
Ebert, Elizabeth E.
Source :
Bulletin of the American Meteorological Society; Sep2018, Vol. 99 Issue 9, p1887-1906, 20p
Publication Year :
2018

Abstract

Recent advancements in numerical weather prediction (NWP) and the enhancement of model resolution have created the need for more robust and informative verification methods. In response to these needs, a plethora of spatial verification approaches have been developed in the past two decades. A spatial verification method intercomparison was established in 2007 with the aim of gaining a better understanding of the abilities of the new spatial verification methods to diagnose different types of forecast errors. The project focused on prescribed errors for quantitative precipitation forecasts over the central United States. The intercomparison led to a classification of spatial verification methods and a cataloging of their diagnostic capabilities, providing useful guidance to end users, model developers, and verification scientists. A decade later, NWP systems have continued to increase in resolution, including advances in high-resolution ensembles. This article describes the setup of a second phase of the verification intercomparison, called the Mesoscale Verification Intercomparison over Complex Terrain (MesoVICT). MesoVICT focuses on the application, capability, and enhancement of spatial verification methods to deterministic and ensemble forecasts of precipitation, wind, and temperature over complex terrain. Importantly, this phase also explores the issue of analysis uncertainty through the use of an ensemble of meteorological analyses. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00030007
Volume :
99
Issue :
9
Database :
Complementary Index
Journal :
Bulletin of the American Meteorological Society
Publication Type :
Academic Journal
Accession number :
132258124
Full Text :
https://doi.org/10.1175/BAMS-D-17-0164.1