Multi-profile analysis of soil moisture within the US climate reference network

Vadose Zone Journal

Volumn 15, Issue 1, 2016, Pages

  Coopersmith, E J ^a   Cosh, M H ^a   Bell, J E ^b   Crow, W T ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b NATIONAL CLIMATIC DATA CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; DECISION SUPPORT SYSTEMS; ERRORS; LOCATION; MOISTURE; MOISTURE CONTROL; QUALITY CONTROL; SENSORY ANALYSIS; SOIL MOISTURE; SOILS; SYSTEMATIC ERRORS;

AGRICULTURAL DECISION SUPPORT; CONTROL PROCEDURES; GEOGRAPHIC LOCATION; HYDROLOGIC MODELING; PROFILE ANALYSIS; SENSING TECHNOLOGY; SPATIAL AND TEMPORAL SCALE; US CLIMATE REFERENCE NETWORKS;

RANDOM ERRORS;

CLIMATE CHANGE; CLIMATE EFFECT; GROUND-BASED MEASUREMENT; HYDROLOGICAL MODELING; QUALITY CONTROL; SENSOR; SOIL MOISTURE;

UNITED STATES;

EID: 84961366578     PISSN: None     EISSN: 15391663     Source Type: Journal    
DOI: 10.2136/vzj2015.01.0016     Document Type: Article

References (25)

1. Bell, J.E., M.A. Palecki, C.B. Baker, W.G. Collins, J.H. Lawrimore, R.D. Leeper, M.E. Hall, J. Kochendorfer, T.P. Meyers, T. Wilson, and H.J. Diamond. 2013. U.S. Climate Reference Network soil moisture and temperature observations. J. Hydrometeorol. 14:977–988. doi:10.1175/JHMD-12-0146.1
2. Campoy, A., A. Ducharne, F. Cheruy, F. Hourdin, J. Polcher, and J.C. Dupont. 2013. Response of land surface fluxes and precipitation to different soil bottom hydrological conditions in a general circulation model. J. Geophys. Res., D, Atmospheres 118(19):10,725–10,739. doi:10.1002/jgrd.50627
3. Collow, T.W., A. Robock, J.B. Basara, and B.G. Illston. 2012. Evaluation of SMOS retrievals of soil moisture over the central United States with currently available in situ observations. J. Geophys. Res., D, Atmospheres 117(9):D09113.
4. Coopersmith, E.J., M.H. Cosh, and J.E. Bell. 2015a. Extending the soil moisture data record of the Climate Reference Network (CRN) and Soil Climate Analysis Network (SCAN). Adv. Water Resour. 79:80–90. doi:10.1016/j.advwatres.2015.02.006
5. Coopersmith, E.J., M.H. Cosh, R. Bindlish, and J.E. Bell. 2015b. Comparing AMSR-E soil moisture estimates to the extended record of the U.S. Climate Reference Network (USCRN). Adv. Water Res. doi:10.1016/j.advwatres.2015.09.003
6. Coopersmith, E.J., M.H. Cosh, W. Petersen, J. Prueger, and J.J. Niemeier. 2015c. Multi-scale soil moisture model calibration and validation: An ARS Watershed on the South Fork of the Iowa River. J. Hydrometeorol. 16(3):1087–1101. doi:10.1175/JHM-D-14-0145.1
7. Coopersmith, E.J., B.S. Minsker, and M. Sivapalan. 2014a. Using similarity of soil texture and hydro-climate to enhance soil moisture estimation. Hydrol. Earth Syst. Sci. 18:3095–3107. doi:10.5194/hess-18-3095-2014
8. Coopersmith, E.J., B.S. Minsker, C.E. Wenzel, and B.J. Gilmore. 2014b. Machine learning assessments of soil drying for agricultural planning. Comput. Electron. Agric. 104:93–104. doi:10.1016/j.compag.2014.04.004
9. Cosh, M.H., T.J. Jackson, R. Bindlish, J.S. Famiglietti, and D. Ryu. 2005. Calibration of an impedance probe for estimation of surface soil water content over large regions. J. Hydrol. 311(1–4):49–58. doi:10.1016/j.jhydrol.2005.01.003
10. Diamond, H.J., T.R. Karl, M.A. Palecki, C.B. Baker, J.E. Bell, R.D. Leeper, D.R. Easterling, J.H. Lawrimore, T.P. Meyers, M.R. Helfert, G. Goodge, and P.W. Thorne. 2013. U.S. Climate Reference Network after one decade of observations: Status and assessment. Bull. Am. Meteor. Soc. 94:489–498. doi:10.1175/BAMS-D-12-00170.1
11. Entekhabi, D., E.G. Njoku, P.E. O’Neill, K.H. Kellogg, W.T. Crow, W.N. Edelstein, J.K. Entin, S.D. Goodman, T.J. Jackson, J. Johnson, J. Kimball, J.R. Piepmeier, R.D. Koster, N. Martin, K.C. McDonald, M. Moghaddam, S. Moran, R. Reichle, J.C. Shi, M.W. Spencer, S.W. Thurman, L. Tsang, and J.V. Zyl. 2010. The Soil Moisture Active Passive (SMAP) mission. Proc. IEE 98:704–716. doi:10.1109/JPROC.2010.2043918
12. Grayson, R.B., A.W. Western, F.H.S. Chiew, and G. Bloschl. 1997. Preferred states in spatial soil moisture patterns: Local and nonlocal controls. Water Resour. Res. 33(12):2897–2908. doi:10.1029/97WR02174
13. Joetzjer, E., H. Douville, C. Delire, and P. Ciais. 2013. Present-day and future Amazonian precipitation in global climate models: CMIP5 versus CMIP3. Clim. Dyn. 41(11-12):2921–2936. doi:10.1007/s00382-012-1644-1
14. Kerr, Y.H., P. Waldteufel, J.P. Wigneron, J.M. Martinuzzi, J. Font, and M. Berger. 2001. Soil moisture retrieval from Space: The Soil Moisture and Ocean Salinity (SMOS) Mission. IEEE Trans. Geosci. Rem. Sens. 39(8). doi:10.1109/36.942551
15. Miralles, D.G., W.T. Crow, and M.H. Cosh. 2010. Estimating spatial sampling errors in coarse-scale soil moisture estimates derived from point-scale observations. J. Hydrometeorol. 11:1423–1429. doi:10.1175/2010JHM1285.1
16. Pan, F. 2012. Estimating daily surface soil moisture using a daily diagnostic soil moisture equation. J. Irrig. Drain. Eng. 138(7):625–631. doi:10.1061/(ASCE)IR.1943-4774.0000450
17. Pan, F., Peters-Lidard, C. D., and Sale, M. J., 2003. An analytical method for predicting surface soil moisture from rainfall observations. Water Resour. Res. 39(11). doi:10.1029/2003WR002142, 2003
18. Rowlandson, T.L., A.A. Berg, P.R. Bullock, E.R. Ojo, H. McNairn, G. Wiseman, and M.H. Cosh. 2013. Evaluation of several calibration procedures for a portable soil moisture sensor. J. Hydrol. 498:335–344. doi:10.1016/j.jhydrol.2013.05.021
19. Schaefer, G.L., M.H. Cosh, and T.J. Jackson. 2007. The USDA Natural Resources Conservation Service Soil Climate Analysis Network (SCAN). J. Oceanic Atmos. Technol. 24:2073–2077. doi:10.1175/2007JTECHA930.1
20. Scipal, K., T. Holmes, R. De Jeu, V. Naeimi, and W. Wagner. 2008. A possible solution for the problem of estimating the error structure of global soil moisture data sets. Geophys. Res. Lett. 35. doi:10.1029/2008GL035599.
21. Sheffield, J., G. Goteti, F. Wen, and E.F. Wood. 2004. A simulated soil moisture based drought analysis for the United States. J. Geophys. Res., D, Atmospheres 109(24):1–19. doi:10.1029/2004JD005182
22. Stoffelen, A. 1998. Toward the true near-surface wind speed: Error modeling and calibration using triple collocation. J. Geophys. Res. 103(C4):7755–7766. doi:10.1029/97JC03180
23. Su, C.-H., D. Ryu, W.T. Crow, and A.W. Western. 2014. Beyond triple collocation: Applications to soil moisture monitoring. J. Geophys. Res. Atmos. 119: 6419–6439. doi:10.1002/2013JD021043
24. Yilmaz, M.T., W.T. Crow, M.C. Anderson, and C. Hain. 2012. An objective methodology for merging satellite- and model-based soil moisture products. Water Resour. Res. 48. doi:10.1029/2011WR011682
25. Zreda, M., D. Desilets, T.P.A. Ferre, and R.L. Scott. 2008. Measuring soil moisture content non-invasively at intermediate spatial scale using cosmic-ray neutrons. Geophys. Res. Lett. 35. doi:10.1029/2008GL035655