edu.ucar.opensky::articles:22110 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:51:19.212079 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7fb55vs https://doi.org/10.1594/WDCC/dphase_cosmoch2 https Related Dataset #1 dphase_cosmoch2: COSMO model forecasts (2.2 km) run by MeteoSwiss for the MAP D-PHASE project https://doi.org/10.1594/WDCC/dphase_cmcgemh https Related Dataset #2 dphase_cmcgemh: regional GEM model high resolution forecast run by CMC for the MAP D-PHASE project https://doi.org/10.1594/WDCC/dphase_cleps https Related Dataset #3 dphase_cleps: COSMO-LEPS forecasts run by ARPA-SIM for the MAP D-PHASE project The setup of the MesoVICT project 2018-09-01T00:00:00Z publication https://n2t.org/ark:/85065/d7fb55vs https://doi.org/10.1175/BAMS-D-17-0164.1 Dorninger, M. author Gilleland, Eric author Casati, B. author Mittermaier, M. P. author Ebert, E. E. author Brown, Barbara G. author Wilson, L. J. author UCAR/NCAR - Library publisher 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. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2018 American Meteorological Society (AMS). None eng geoscientificInformation