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Title: A New Research Approach for Observing and Characterizing Land–Atmosphere Feedback

Journal Article · · Bulletin of the American Meteorological Society
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  1. University of Hohenheim, Stuttgart (Germany)
  2. NOAA/Earth System Research Laboratory, Boulder, CO (United States)
  3. NOAA/Air Resources Laboratory, Oak Ridge, TN (United States)
  4. NOAA/Air Resources Laboratory, Oak Ridge, TN (United States); Univ. of Oklahoma, Norman, OK (United States); NOAA/National Severe Storms Laboratory, Norman, OK (United States)
  5. NOAA/Air Resources Laboratory, Oak Ridge, TN (United States); Oak Ridge Associated Univ., Oak Ridge, TN (United States)
  6. Univ. of Colorado, Boulder, CO (United States)
  7. Cleveland State University, OH (United States)
  8. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  9. Univ. of Oklahoma, Norman, OK (United States); NOAA/National Severe Storms Laboratory, Norman, OK (United States)
  10. Leibniz University of Hannover (Germany)
  11. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
  12. Univ. of Wisconsin, Madison, WI (United States)
  13. National Center for Atmospheric Research, Boulder, CO (United States)
+ Show Author Affiliations

Forecast errors with respect to wind, temperature, moisture, clouds, and precipitation largely correspond to the limited capability of current earth system models to capture and simulate and-atmosphere feedback. To facilitate its realistic simulation in next generation models, an improved process understanding of the related complex interactions is essential. To this end, accurate 3D observations of key variables in the land-atmosphere (L-A) system with high vertical and temporal resolution from the surface to the free troposphere are indispensable. Recently, we developed a synergy of innovative ground-based, scanning active remote sensing systems for 2D to 3D measurements of wind, temperature, and water vapor from the surface to the lower troposphere that is able to provide comprehensive data sets for characterizing L-A feedback independently of any model input. Several new applications are introduced such as the mapping of surface momentum, sensible heat, and latent heat fluxes in heterogeneous terrain, the testing of Monin-Obukhov similarity theory and turbulence parameterizations, the direct measurement of entrainment fluxes, and the development of new flux-gradient relationships. An experimental design taking advantage of the sensors’ synergy and advanced capabilities was realized for the first time during the Land Atmosphere Feedback Experiment (LAFE), conducted at the Atmospheric Radiation Measurement Program Southern Great Plains site in August 2017. The scientific goals and the strategy of achieving them with the LAFE data set are introduced. We envision the initiation of innovative L-A feedback studies in different climate regions to improve weather forecast, climate, and earth system models worldwide.

Research Organization:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
1490025
Report Number(s):
PNNL-SA-131856
Journal Information:
Bulletin of the American Meteorological Society, Vol. 99, Issue 8; ISSN 0003-0007
Publisher:
American Meteorological SocietyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 57 works
Citation information provided by
Web of Science

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