TY - JOUR
T1 - The setup of the MesoVICT project
AU - Dorninger, Manfred
AU - Gilleland, Eric
AU - Casati, Barbara
AU - Mittermaier, Marion P.
AU - Ebert, Elizabeth E.
AU - Brown, Barbara G.
AU - Wilson, Laurence J.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - 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.
AB - 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.
KW - VARIATIONAL DATA ASSIMILATION
KW - NUMERICAL WEATHER PREDICTION
KW - SPATIAL VERIFICATION METHODS
KW - MULTISCALE GEM MODEL
KW - PART I
KW - ENSEMBLE FORECASTS
KW - NEIGHBORHOOD VERIFICATION
KW - PRECIPITATION FORECASTS
KW - ICE CONCENTRATION
KW - CLUSTER-ANALYSIS
UR - http://www.scopus.com/inward/record.url?scp=85052510155&partnerID=8YFLogxK
U2 - 10.1175/BAMS-D-17-0164.1
DO - 10.1175/BAMS-D-17-0164.1
M3 - Article
AN - SCOPUS:85052510155
VL - 99
SP - 1887
EP - 1906
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
SN - 0003-0007
IS - 9
ER -