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information such as the presence of frontal boundaries, or physiographic information such as the presence of mountains or coastlines. The aim of these methodological augmentations is to more closely mimic the reasoning process an expert would use in assessing the quality of correspondence between forecast and observed features. Acknowledgments The authors wish to thank the Air Force Weather Agency and NCAR for supporting the development of MODE, and we thank David Ahijevych of NCAR for his helpful
information such as the presence of frontal boundaries, or physiographic information such as the presence of mountains or coastlines. The aim of these methodological augmentations is to more closely mimic the reasoning process an expert would use in assessing the quality of correspondence between forecast and observed features. Acknowledgments The authors wish to thank the Air Force Weather Agency and NCAR for supporting the development of MODE, and we thank David Ahijevych of NCAR for his helpful
