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  • Mountain Terrain Atmospheric Modeling and Observations (MATERHORN) x
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H. J. S. Fernando, E. R. Pardyjak, S. Di Sabatino, F. K. Chow, S. F. J. De Wekker, S. W. Hoch, J. Hacker, J. C. Pace, T. Pratt, Z. Pu, W. J. Steenburgh, C. D. Whiteman, Y. Wang, D. Zajic, B. Balsley, R. Dimitrova, G. D. Emmitt, C. W. Higgins, J. C. R. Hunt, J. C. Knievel, D. Lawrence, Y. Liu, D. F. Nadeau, E. Kit, B. W. Blomquist, P. Conry, R. S. Coppersmith, E. Creegan, M. Felton, A. Grachev, N. Gunawardena, C. Hang, C. M. Hocut, G. Huynh, M. E. Jeglum, D. Jensen, V. Kulandaivelu, M. Lehner, L. S. Leo, D. Liberzon, J. D. Massey, K. McEnerney, S. Pal, T. Price, M. Sghiatti, Z. Silver, M. Thompson, H. Zhang, and T. Zsedrovits

based on science plans and logistical constraints: A: IOS-Playa was in the Great Salt Lake Desert west of GM; the area is extremely flat, smooth, and mostly devoid of vegetation, with a thin crust of crystalline salt above layers of alkaline sediments ( Boettinger 2009 ). It is characterized by high albedo, low roughness length (see Table ES1), and seasonally changing moisture and albedo (Hang et al. 2015, manuscript submitted to Bound.-Layer Meteor. ). Studies on the surface energy budget

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Jeffrey D. Massey, W. James Steenburgh, Sebastian W. Hoch, and Jason C. Knievel

1. Introduction Near-surface (2 m) temperature (NST) forecasts are critical for the protection of life and property, for economic and operational activities, and for routine day-to-day planning but remain a major challenge for numerical weather prediction. Modeling systems in many regions of the world have trouble simulating NSTs and typically underpredict the diurnal NST cycle, which largely reflects a pronounced nighttime NST warm bias (e.g., Steeneveld et al. 2008 ; Edwards et al. 2011

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Feimin Zhang and Zhaoxia Pu

in the cold season on the simulation of ice fog conditions in the near-surface atmosphere, although some of the analyses are speculative because of the lack of observations of snow cover, snow water equivalent, snow depth, surface emissivity, and ground heat flux. The outcomes from this study highlight that a well-planned field project with observations of snow properties and near-surface atmospheric conditions in the cold season is important and imperative to validate model results and

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Jeffrey D. Massey, W. James Steenburgh, Jason C. Knievel, and William Y. Y. Cheng

1. Introduction Accurate temperature forecasts by numerical weather prediction (NWP) models are critical for the protection of life and property, economic and operational activities, and routine day-to-day planning. Temperature forecasts not only affect near-surface (2 m) conditions, but also atmospheric stability, planetary boundary layer (PBL) heights, near-surface winds, and precipitation type. Large systematic temperature errors from the Weather Research and Forecasting (WRF) Model are

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