The Surface Atmosphere Integrated Field Laboratory (SAIL) Campaign

Author:

Feldman D. R.1,Aiken A. C.2,Boos W. R.3,Carroll R. W. H.4,Chandrasekar V.5,Collis S.6,Creamean J. M.5,de Boer G.7,Deems J.8,DeMott P. J.5,Fan J.9,Flores A. N.10,Gochis D.11,Grover M.6,Hill T. C. J.5,Hodshire A.12,Hulm E.13,Hume C. C.5,Jackson R.6,Junyent F.5,Kennedy A.14,Kumjian M.15,Levin E. J. T.12,Lundquist J. D.16,O’Brien J.6,Raleigh M. S.17,Reithel J.13,Rhoades A.1,Rittger K.18,Rudisill W.1,Sherman Z.6,Siirila-Woodburn E.1,Skiles S. M.19,Smith J. N.20,Sullivan R. C.6,Theisen A.6,Tuftedal M.6,Varble A. C.9,Wiedlea A.1,Wielandt S.1,Williams K.1,Xu Z.1

Affiliation:

1. Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, California;

2. Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, New Mexico;

3. Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, and Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, California;

4. Division of Hydrologic Sciences, Desert Research Institute, Reno, Nevada;

5. Colorado State University, Fort Collins, Colorado;

6. Environmental Science Division, Argonne National Laboratory, Lemont, Illinois;

7. Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, and NOAA/Physical Sciences Laboratory, and Integrated Remote and In Situ Sensing, University of Colorado Boulder, Boulder, Colorado;

8. National Snow and Ice Data Center, University of Colorado Boulder, Boulder, Colorado;

9. Pacific Northwest National Laboratory, Richland, Washington;

10. Department of Geosciences, Boise State University, Boise, Idaho;

11. National Center for Atmospheric Research, Boulder, Colorado;

12. Handix Scientific, LLC, Fort Collins, Colorado;

13. Rocky Mountain Biological Laboratory, Crested Butte, Colorado;

14. Department of Atmospheric Sciences, University of North Dakota, Grand Forks, North Dakota;

15. The Pennsylvania State University, University Park, Pennsylvania;

16. Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington;

17. College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, Oregon;

18. Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, Colorado;

19. University of Utah, Salt Lake City, Utah;

20. Department of Chemistry, University of California, Irvine, Irvine, California

Abstract

Abstract The science of mountainous hydrology spans the atmosphere through the bedrock and inherently crosses physical and disciplinary boundaries: land–atmosphere interactions in complex terrain enhance clouds and precipitation, while watersheds retain and release water over a large range of spatial and temporal scales. Limited observations in complex terrain challenge efforts to improve predictive models of the hydrology in the face of rapid changes. The Upper Colorado River exemplifies these challenges, especially with ongoing mismatches between precipitation, snowpack, and discharge. Consequently, the U.S. Department of Energy’s (DOE) Atmospheric Radiation Measurement (ARM) user facility has deployed an observatory to the East River Watershed near Crested Butte, Colorado, between September 2021 and June 2023 to measure the main atmospheric drivers of water resources, including precipitation, clouds, winds, aerosols, radiation, temperature, and humidity. This effort, called the Surface Atmosphere Integrated Field Laboratory (SAIL), is also working in tandem with DOE-sponsored surface and subsurface hydrologists and other federal, state, and local partners. SAIL data can be benchmarks for model development by producing a wide range of observational information on precipitation and its associated processes, including those processes that impact snowpack sublimation and redistribution, aerosol direct radiative effects in the atmosphere and in the snowpack, aerosol impacts on clouds and precipitation, and processes controlling surface fluxes of energy and mass. Preliminary data from SAIL’s first year showcase the rich information content in SAIL’s many datastreams and support testing hypotheses that will ultimately improve scientific understanding and predictability of Upper Colorado River hydrology in 2023 and beyond.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference122 articles.

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