The NOAA hydrometeorology testbed soil moisture observing networks: Design, instrumentation, and preliminary results

Journal of Atmospheric and Oceanic Technology

Volumn 28, Issue 9, 2011, Pages 1129-1140

  Zamora, Robert J ^a   Ralph, F Martin ^a   Clark, Edward ^b   Schneider, Timothy ^a  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^b NOAA/National Weather Service   (United States)

Author keywords

Hydrometeorology; Instrumentation; Soil Moisture

Indexed keywords

ARIZONA; CALIFORNIA; CONTINUOUS TIME; DRY CONDITION; FLOOD EVENT; HEAVY PRECIPITATION; HUMAN CONSUMPTION; HYDROMETEOROLOGY; ILLUSTRATIVE EXAMPLES; INSTRUMENTATION; LOCAL GOVERNMENT; MODELING METHOD; MOISTURE PROBE; NATIONAL WEATHER SERVICES; RESEARCH AND DEVELOPMENT; RIVER TRIBUTARIES; RUSSIAN RIVER; SCIENTIFIC RESEARCHES; SOIL MOISTURE NETWORKS; SOUTHEASTERN ARIZONA; TIME-SCALES; WATER MANAGERS; WET PERIOD;

AGRICULTURE; HYDROLOGY; METEOROLOGY; RIVERS; SITE SELECTION; SOIL MOISTURE; TESTBEDS; TIME SERIES;

SOIL TESTING;

FLOODING; HYDROMETEOROLOGY; LOCAL GOVERNMENT; NOAA SATELLITE; OBSERVATIONAL METHOD; PRECIPITATION INTENSITY; RAINFALL-RUNOFF MODELING; SNOWPACK; SOIL MOISTURE; TIME SERIES ANALYSIS; TIMESCALE;

AMERICAN RIVER; ARIZONA; CALIFORNIA; RUSSIAN RIVER; SAN PEDRO RIVER; UNITED STATES;

EID: 82655184938     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010JTECHA1465.1     Document Type: Article

References (22)

1. Bosart, L. F., and F. Sanders, 1981: The Johnstown flood of July 1977: A long-lived convective system. J. Atmos. Sci., 38, 1616-1642.
2. Brock, F. V., K. C. Crawford, R. L. Elliott, G. W. Cuperus, S. J. Stadler, H. L. Johnson, and M. D. Eilts, 1995: The Oklahoma Mesonet: A technical overview. J. Atmos. Oceanic Technol., 12, 5-19.
3. Burnash, R. J., 1995: The NWS River Forecast System-Catchment modeling. ComputerModels of Watershed Hydrology,V. P. Sing, Ed., Water Resource Publications, 311-366.
4. Campbell Scientific, cited 2010: CS616 and CS625 water content reflectometers. [Available online at http://www.campbellsci.com/documents/manuals/cs616.pdf.]
5. Caracena, F., R. A. Maddox, L. R. Hoxit, and C. F. Chappell, 1979: Mesoanalysis of the Big Thompson storm. Mon. Wea. Rev., 107, 1-17.
6. Chen, F., and J. Dudhia, 2001: Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity. Mon. Wea. Rev., 129, 569-585.
7. Clark, M. P., and L. E. Hay, 2004: Use of medium-range numerical weather prediction model output to produce forecasts of streamflow. J. Hydrometeor., 5, 15-32.
8. Flint, A. L., L. E. Flint, and M. D. Dettinger, 2008: Modeling soil moisture processes and recharge under a melting snowpack. Valdose Zone J., 7, 350-357.
9. Godfrey, C. M., and D. J. Stensrud, 2008: Soil temperature and moisture errors in operational Eta model analyses. J. Appl. Meteor., 9, 367-387.
10. Hillel, D., 1998: Environmental Soil Physics. Academic Press, 771 pp.
11. Hogue, T. S., S. Sorooshian, H. Gupta, A. Holz, and D. Braatz, 2000: A multistep automatic calibration scheme for river forecasting models. J. Hydrometeor., 1, 524-542.
12. Illston, B. G., J. B. Basara, C. A. Fiebrich, K. C. Crawford, E. Hunt, D. K. Fisher, R. Elliott, and K. Humes, 2008: Mesoscale monitoring of soil moisture across a statewide network. J. Atmos. Oceanic Technol., 25, 162-182.
13. Janjic, Z. I., 2003: A nonhydrostatic model based on a new approach. Meteor. Atmos. Phys., 82, 271-285.
14. Kennedy, J. R., T. O. Keefer, G. B. Paige, and E. Barnes, 2003: Evaluation of dielectric constant-based soil moisture sensors in a semiarid rangeland. Proc. First Interagency Conf. on Research in the Watersheds, Benson, AZ, USGS, 503-508. [Available online at http://www.tucson.ars.ag.gov/icrw/Proceedings/Kennedy.pdf.]
15. Koren, V., J. Schaake, K. Mitchell, Q.-Y. Duan, F. Chen, and J. M. Baker, 1999: A parameterization of snowpack and frozen ground intended for NCEP weather and climate models. J. Geophys. Res., 104, 19 569-19 585.
16. Opitz, H. H., and Coauthors, 1995: The challenge of forecasting heavy rain and flooding throughout the eastern region of the National Weather Service. Part II: Forecast techniques and applications. Wea. Forecasting, 10, 91-104.
17. Ralph, F. M., and Coauthors, 2005: Improving short-term (0-48 h) cool-season quantitative precipitation forecasting: Recommendations from a USWRP workshop. Bull. Amer. Meteor. Soc., 86, 1619-1632.
18. Reed, S. M., and D. R. Maidment, 1999: Coordinate transformations for using Nexrad data in GIS-based hydrologic modeling. J. Hydrol. Eng., 4, 174-182.
19. Renard, K. G., L. J. Lane, J. R. Simanton, W. E. Emmerich, J. J. Stone, M. A. Weltz, D. C. Goodrich, and D. S. Yakowitz, 1993: Agricultural impacts in an arid environment: Walnut Gulch case study. J. Hydrol. Sci. Technol., 9, 145-190.
20. Schaefer, G. L., M. H. Cosh, and T. J. Jackson, 2007: The USDA Natural Resources Conservation Service Soil Climate Analysis Network (SCAN). J. Atmos. Oceanic Technol., 24, 2073-2077.
21. Veihmeyer, F. J., and A. H. Hendrickson, 1931: The moisture equivalent as a measure of the field capacity of soils. Soil Sci. Soc. Amer. J., 32, 181-193.
22. Zreda, M., D. Desilets, T. P. A. Ferré, and R. L. Scott, 2008: Measuring soil moisture content non-invasively at intermediate spatial scale using cosmic-ray neutrons. Geophys. Res. Lett., 35, L21402, doi:10.1029/2008GL035655.