Session 2 Methods of Verification and Evaluation of Forecasts: Spatial and Object Based Methods

Monday, 13 January 2020: 10:30 AM-12:00 PM
260 (Boston Convention and Exhibition Center)
Host: 26th Conference on Probability and Statistics
Cochairs:
Tara Jensen, NCAR, Joint Numerical Testbed, Boulder, CO; Jason Otkin, Univ. of Wisconsin, Cimss, Madison, WI and Christina P. Kalb, NCAR, Research Applications Laboratory, Boulder, CO

Methods of verification and evaluation of forecasts and their inter-comparison, including statistical significance, with a focus on high resolution applications and object based or process based methodologies.

Papers:
10:30 AM
2.1
Spatial Forecast Verification: Putting location-based measures to the test with a new set of geometric cases
Eric Gilleland, NCAR, Boulder, CO; and G. Skok, B. G. Brown, B. Casati, M. Dorninger, L. J. Wilson, and M. P. Mittermaier

10:45 AM
2.2
Impacts of Neighborhood Approaches for Verification of Gridded Products
Laura Melling, CIRES, Boulder, CO; and G. J. Layne and M. S. Wandishin

11:00 AM
2.3
Clarifying Applications of Neighborhood Approaches to High-Resolution Forecasts
Craig S. Schwartz, NCAR, Boulder, CO; and R. A. Sobash

11:15 AM
2.4
A new object-based method for the scale-dependent verification of convection allowing NWP models: methodology and application for the OU MAP ensemble
Fan Han, Univ. of Oklahoma, Norman, OK; and X. Wang

11:30 AM
2.5
Exploring Non-Traditional Methods for Streamlining the Model Validation Process
Tracy Hertneky, NCAR, Boulder, CO; and T. L. Fowler and M. Harrold

11:45 AM
2.6
The Information Gain of NWP Models
John R. Lawson, CIMMS/NSSL, Norman, OK; and C. K. Potvin, P. S. Skinner, and M. L. Flora

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