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Title: Surface Atmosphere Integrated Field Laboratory (SAIL) Science Plan

Technical Report ·
DOI:https://doi.org/10.2172/1781024· OSTI ID:1781024
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  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. Univ. of California, Berkeley, CA (United States)
  4. Desert Research Inst. (DRI), Reno, NV (United States)
  5. Colorado State Univ., Fort Collins, CO (United States)
  6. Argonne National Lab. (ANL), Argonne, IL (United States)
  7. National Snow and Ice Data Center, CO (United States)
  8. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  9. Boise State Univ., ID (United States)
  10. National Center for Atmospheric Research (NCAR), Boulder, CO (United States)
  11. Pennsylvania State Univ., University Park, PA (United States)
  12. Indiana Univ., Bloomington, IN (United States)
  13. Oregon State Univ., Corvallis, OR (United States)
  14. Univ. of Utah, Salt Lake City, UT (United States)
  15. Univ. of California, Irvine, CA (United States)
  16. Univ. of California, Davis, CA (United States)

Mountains are the natural water towers of the world, effectively turning water vapor into readily available fresh water through precipitation, snowpack, and runoff. Unfortunately, Earth system models (ESMs) have persistently been unable to predict the timing and availability of water resources from mountains because the source(s) of model error are difficult to isolate in complex terrain with limited atmospheric or land-surface observations. Further complications arise from the gross scale mismatch between ESM grid box sizes and the relevant scales of mountainous hydrological processes. The mountain hydrometeorology community has repeatedly called for integrated atmospheric and land observations of water and energy budgets in complex terrain that span these scales to establish benchmarks against which scale-dependent models can be further developed.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). ARM Data Center
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Contributing Organization:
Pacific Northwest National Laboratory (PNNL); Brookhaven National Laboratory (BNL); Argonne National Laboratory (ANL); Oak Ridge National Laboratory (ORNL)
DOE Contract Number:
AC05-76RL01830
OSTI ID:
1781024
Report Number(s):
DOE/SC-ARM-21-004
Country of Publication:
United States
Language:
English