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Ebert, E E, 2008. F uzzy verification o f h igh r esolution g ridded forecasts: A r eview and proposedframework. Meteorol. Appl., 15, 51-64.Fowler, T .L., T. Jensen, E. I. Tollerud, J. Halley Gotway, P. Oldenburg, a nd R. Bullock, 2010: NewModel E valuation Tools (MET) S oftware C apabilities for QPF V erification. Proceedings, Third WMOInternational Conference on QPE and QPF and Hydrology.Gilleland, E ., D . A hijevych, B .G. B rown, B . C asati, a nd E .E. E bert, 2009: I ntercomparison of s patialforecast verification methods. Wea. Forecasting, 24, 1416-1430.Gilleland, E., D.A. Ahijevych, B.G. Brown and E.E. Ebert, 2010a: Verifying Forecasts Spatially. Bull.Amer. Meteor. Soc., in press.Gilleland, E ., J. L indström, a nd F . L indgren, 2010 b: A nalyzing t he i mage warp f orecast v erificationmethod on precipitation fields from the ICP. Wea. Forecasting, 25, 1249-1262.Kain, J.S., M. Xue, M.C. Coniglio, S.J. Weiss, F. Kong, T.L. Jensen, B.G. Brown, J. Gao, K. Brewster,K.W. Thomas, Y. Wang, C.S. Schwartz, and J.J. Levit, 2010: Assessing advances in the assimilation ofradar data within a collaborative forecasting-research environment. Weather and Forecasting, in press.Lindström, J., E. Gilleland, and F. Lindgren, 2011: Forecast verification using image warping. Manuscriptin Preparation, available at: http://www.ral.ucar.edu/staff/ericg/LindstromEtAl2009.pdf).Mass, C.F., D. Ovens, K. Westrick, and B.A. Colle, 2002: Does increasing horizontal resolution producemore sk illful f orecasts? The results o f t wo y ears o f r eal-time num erical w eather pr ediction ov er thePacific Northwest. Bull. Amer. Meteorol. Soc., 83, 407-430.Mittermaier, M. P. an d N . R oberts, 2 010: Intercomparison of Spatial Forecast V erification M ethods:Identifying skillful spatial scales using the Fractions Skill Score. Wea. Forecasting, 25, 343-354.Table 1: Summary of the types of information that the general categories of methods can provide. Entries representgeneral characteristic of the method type, and understood that there are exceptions among individual methods; see textfor more information.Method categoryScaleswith skillLocation errorsIntensityerrorsStructureerrorsOccurrence (hits,misses and falsealarms)Neighborhood Yes No Yes No YesScale-separation Yes No Yes No YesFeatures-based No Yes Yes Yes YesDeformation No Yes Yes No No-186-

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