The authors thank Leonard Smith of the University of Oxford and Daniel Wilks of Cornell University whose previous works on the MST RH inspired the writing of this paper. The authors also thank W. Gregory Lawson of the California Institute of Technology and Jonathan Moskaitis of the Massachusetts Institute of Technology for their helpful comments concerning this work. The authors are grateful for the funding provided by NSF Grant ATM-0216866 and the Climate Modeling Initiative.
Anderson, J., 1996: A method for producing and evaluating probabilistic forecasts from ensemble model integrations. J. Climate, 9 , 1518–1530.
Du, J., G. DiMego, M. S. Tracton, and B. Zhou, 2003: NCEP Short-Range Ensemble Forecasting (SREF) system: Multi-IC, multi-model and multi-physics approach. Research activities in atmospheric and oceanic modeling, Rep. 33, CAS/JSC Working Group Numerical Experimentation (WGNE), WMO/Tech. Doc. 1161, 5.09–5.10.
Du, J., and Coauthors, 2004: The NOAA/NWS/NCEP Short-Range Ensemble Forecast (SREF) system: Evaluation of an initial condition vs. multi-model physics ensemble approach. Preprints, 16th Conf. on Numerical Weather Prediction, Seattle, WA, Amer. Meteor. Soc., CD-ROM, 21.3.
Elmore, K. L., 2005: Alternatives to the chi-square test for evaluating rank histograms from ensemble forecasts. Wea. Forecasting, 20 , 789–795.
McQueen, J., J. Du, B. Zhou, G. Manikin, B. Ferrier, H. Chuang, G. DiMego, and Z. Toth, 2005: Recent upgrades to the NCEP Short Range Ensemble Forecasting System (SREF) and future plans. Preprints, 17th Conf. on Numerical Weather Prediction/21st Conf. on Weather Analysis and Forecasting, Washington, DC, Amer. Meteor. Soc., CD-ROM, 11.2.
Murphy, A. H., 1993: What is a good forecast? An essay on the nature of goodness in weather forecasting. Wea. Forecasting, 8 , 281–293.
Saetra, O., H. Hersbach, J. R. Bidlot, and D. S. Richardson, 2004: Effects of observation errors on the statistics for ensemble spread and reliability. Mon. Wea. Rev., 132 , 1487–1501.
Smith, L. A., and J. A. Hansen, 2004: Extending the limits of ensemble forecast verification with the minimum spanning tree. Mon. Wea. Rev., 132 , 1522–1528.
Stensrud, D. J., and J. A. Skindlov, 1996: Gridpoint predictions of high temperature from a mesoscale model. Wea. Forecasting, 11 , 103–110.
Talagrand, O., B. Strauss, and R. Vautard, 1997: Evaluation of probabilistic prediction systems. Proc. ECMWF Workshop on Predictability, Reading, United Kingdom, ECMWF, 1–25.
Wilks, D. S., 2004: The minimum spanning tree histogram as a verification tool for multidimensional ensemble forecasts. Mon. Wea. Rev., 132 , 1329–1340.
Zhong, S., C. D. Whiteman, and X. Bian, 2004: Diurnal evolution of three-dimensional wind and temperature structure in California’s Central Valley. J. Appl. Meteor., 43 , 1679–1699.