Skip to Main Content

Mountain Terrain Atmospheric Modeling and Observations (MATERHORN)

Description:
To address science needs and help improve the prediction of mountain weather, the U.S. Department of Defense has funded a research effort—Mountain Terrain Atmospheric Modeling and Observations (MATERHORN) Program—that draws on the expertise of a multidisciplinary, multi-institutional, and multinational group of researchers. The principal participants are the University of Notre Dame (lead); University of California, Berkeley; Naval Postgraduate School; University of Utah; and University of Virginia.

The ultimate goal of MATERHORN is to identify and study the limitations of current state-of-the-science mesoscale models for mountain terrain weather prediction and develop scientific tools to help realize leaps in predictability. The program consists of four components working symbiotically:

  • The modeling component (MATERHORN-M) investigates predictability at the mesoscale.
  • The experimental component (MATERHORN-X) mainly conducts field measurements at unprecedented spatiotemporal detail by deploying arrays of routine, high-end, and newly developed instrumentation.
  • The technology development component (MATERHORN-T) enables currently untenable meteorological observations. The developments include an instrumented UAV, sensors for moisture and fog measurements, and a combined hot-film/sonic anemometer system for probing turbulence down to Kolmogorov scales.
  • The parameterization component (MATERHORN-P) develops high-fidelity physics-based fundamental (quantitative) relationships for complex-terrain processes, which are implemented in mesoscale models followed by model evaluations.

This special collection includes a review article on the overall program and other research papers as they are published. Read Moreā€¦

Collection organizer:
Zhaoxia Pu, University of Utah

Special Collection Image
Feimin Zhang; Zhaoxia Pu
Journal of Applied Meteorology and Climatology
Robert S. Arthur; Katherine A. Lundquist; Jeffrey D. Mirocha; Fotini K. Chow
Monthly Weather Review
Raquel Lorente-Plazas; Joshua P. Hacker
Monthly Weather Review
Matthew E. Jeglum; Sebastian W. Hoch; Derek D. Jensen; Reneta Dimitrova; Zachariah Silver
Journal of Applied Meteorology and Climatology
Jeffrey D. Massey; W. James Steenburgh; Sebastian W. Hoch; Derek D. Jensen
Journal of Applied Meteorology and Climatology
Jeffrey D. Massey; W. James Steenburgh; Jason C. Knievel; William Y. Y. Cheng
Weather and Forecasting
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; T. Zsedrovits
Bulletin of the American Meteorological Society
Sean M. Wile; Joshua P. Hacker; Joshua P. Hacker; Kenneth H. Chilcoat
Weather and Forecasting
Joshua P. Hacker; Lili Lei
Monthly Weather Review
Manuela Lehner; C. David Whiteman; Sebastian W. Hoch; Derek Jensen; Eric R. Pardyjak; Laura S. Leo; Silvana Di Sabatino; Harindra J. S. Fernando
Journal of Applied Meteorology and Climatology
Jeffrey D. Massey; W. James Steenburgh; Sebastian W. Hoch; Jason C. Knievel
Journal of Applied Meteorology and Climatology
Hailing Zhang; Zhaoxia Pu; Xuebo Zhang
Weather and Forecasting
Close Modal

or Create an Account

Close Modal
Close Modal