SMAP soil moisture drying more rapid than observed in situ following rainfall events

Geophysical Research Letters

Volumn 43, Issue 15, 2016, Pages 8068-8075

  Shellito, Peter J ^a   Small, Eric E ^a   Colliander, Andreas ^b   Bindlish, Rajat ^c   Cosh, Michael H ^c   Berg, Aaron A ^d   Bosch, David D ^e   Caldwell, Todd G ^f   Goodrich, David C ^g   McNairn, Heather ^h   Prueger, John H ⁱ   Starks, Patrick J ^j   van der Velde, Rogier ^k   Walker, Jeffrey P ^l  

^a UNIVERSITY OF COLORADO   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^c AGRICULTURAL RESEARCH SERVICE   (United States)

^d UNIVERSITY OF GUELPH   (Canada)

^e SOUTHEAST WATERSHED RESEARCH LABORATORY   (United States)

^f UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^g SOUTHWEST WATERSHED RESEARCH CENTER   (United States)

^h AGRICULTURE AND AGRI FOOD CANADA   (Canada)

ⁱ U S DEPARTMENT OF AGRICULTURE   (United States)

^j USDA ARS GRAZINGLANDS RESEARCH LABORATORY   (United States)

^k UNIVERSITY OF TWENTE   (Netherlands)

^l MONASH UNIVERSITY   (Australia)

more..

Author keywords

drydown; in situ monitoring; Soil Moisture Active Passive (SMAP); validation

Indexed keywords

CURVE FITTING; DRYING; MOISTURE; MOISTURE CONTROL; NASA; PROBES; RAIN; SOILS;

DRYDOWN; EXPONENTIAL CURVES; IN- SITU MONITORING; IN-SITU MEASUREMENT; IN-SITU OBSERVATIONS; SOIL MOISTURE ACTIVE PASSIVE (SMAP); SURFACE SOIL MOISTURE; VALIDATION;

SOIL MOISTURE;

IN SITU MEASUREMENT; MAGNITUDE; MODEL VALIDATION; PROBE; RAINFALL; RESEARCH PROGRAM; SOIL DEPTH; SOIL MOISTURE; SOIL SURFACE; TIMESCALE;

EID: 84981340961     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/2016GL069946     Document Type: Article

References (43)

1. Adams, J. R., H. McNairn, A. A. Berg, and C. Champagne (2015), Evaluation of near-surface soil moisture data from an AAFC monitoring network in Manitoba, Canada: Implications for L-band satellite validation, J. Hydrol., 521, 582–592, doi:10.1016/j.jhydrol.2014.10.024.
2. Bosch, D. D., V. Lakshmi, T. J. Jackson, M. Choi, and J. M. Jacobs (2006), Large scale measurements of soil moisture for validation of remotely sensed data: Georgia soil moisture experiment of 2003, J. Hydrol., 323(1–4), 120–137, doi:10.1016/j.jhydrol.2005.08.024.
3. Champagne, C., T. Rowlandson, A. Berg, T. Burns, J. L'Heureux, E. Tetlock, J. R. Adams, H. McNairn, B. Toth, and D. Itenfisu (2016), Satellite surface soil moisture from SMOS and Aquarius: Assessment for applications in agricultural landscapes, Int. J. Appl. Earth Obs. Geoinf., 45, 143–154, doi:10.1016/j.jag.2015.09.004.
4. Chan, S. K., et al. (2016), Assessment of the SMAP Passive Soil Moisture Product, IEEE Trans. Geosci. Remote Sens., 54(8), 4994–5007, doi:10.1109/TGRS.2016.2561938.
5. Coleman, T. F., and Y. Li (1994), On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds, Math. Program., 67(1), 189–224, doi:10.1007/BF01582221.
6. Coleman, T. F., and Y. Li (1996), An interior trust region approach for nonlinear minimization subject to bounds, SIAM J. Optim., 6(2), 418–445, doi:10.1137/0806023.
7. Colliander, A., et al. (2015), SMAP L2/L3 soil moisture product validation using in situ based core validation sites, Abstract H43H-1626 presented at 2015 Fall Meeting, AGU, San Francisco, Calif., 14–18 Dec.
8. Coopersmith, E. J., M. H. Cosh, J. E. Bell, and W. T. Crow (2016), Multi-profile analysis of soil moisture within the US Climate Reference Network, Vadose Zone J., 15(1), doi:10.2136/vzj2015.01.0016.
9. Cosh, M. H., T. J. Jackson, R. Bindlish, and J. H. Prueger (2004), Watershed scale temporal and spatial stability of soil moisture and its role in validating satellite estimates, Remote Sens. Environ., 92(4), 427–435, doi:10.1016/j.rse.2004.02.016.
10. Cosh, M. H., T. J. Jackson, P. Starks, and G. Heathman (2006), Temporal stability of surface soil moisture in the Little Washita River watershed and its applications in satellite soil moisture product validation, J. Hydrol., 323(1–4), 168–177, doi:10.1016/j.jhydrol.2005.08.020.
11. Cosh, M. H., T. J. Jackson, S. Moran, and R. Bindlish (2008), Temporal persistence and stability of surface soil moisture in a semi-arid watershed, Remote Sens. Environ., 112(2), 304–313, doi:10.1016/j.rse.2007.07.001.
12. Daly, E., and A. Porporato (2005), A review of soil moisture dynamics: From rainfall infiltration to ecosystem response, Environ. Eng. Sci., 22(1), 9–24, doi:10.1089/ees.2005.22.9.
13. Dirmeyer, P. A., Y. Jin, B. Singh, and X. Yan (2013), Trends in land–atmosphere interactions from CMIP5 simulations, J. Hydrometeorol., 14(3), 829–849, doi:10.1175/JHM-D-12-0107.1.
14. D'Odorico, P., L. Ridolfi, A. Porporato, and I. Rodriguez-Iturbe (2000), Preferential states of seasonal soil moisture: The impact of climate fluctuations, Water Resour. Res., 36, 2209–2219, doi:10.1029/2000WR900103.
15. Eltahir, E. A. B. (1998), A soil moisture-rainfall feedback mechanism: 1. Theory and observations, Water Resour. Res., 34, 765–776, doi:10.1029/97WR03499.
16. Eltahir, E. A. B., and P. J.-F. Yeh (1999), On the asymmetric response of aquifer water level to floods and droughts in Illinois, Water Resour. Res., 35, 1199–1217, doi:10.1029/1998WR900071.
17. Entekhabi, D., et al. (2014), SMAP handbook—Soil Moisture Active Passive: Mapping Soil Moisture and Freeze/Thaw From Space, Jet Propulsion Lab., California Inst. Technol., Pasadena, Calif.
18. Escorihuela, M. J., A. Chanzy, J. P. Wigneron, and Y. H. Kerr (2010), Effective soil moisture sampling depth of L-band radiometry: A case study, Remote Sens. Environ., 114(5), 995–1001, doi:10.1016/j.rse.2009.12.011.
19. Ford, T. W., D. B. McRoberts, S. M. Quiring, and R. E. Hall (2015), On the utility of in situ soil moisture observations for flash drought early warning in Oklahoma, USA, Geophys. Res. Lett., 42, 9790–9798, doi:10.1002/2015GL066600.
20. Gallego-Elvira, B., C. M. Taylor, P. P. Harris, D. Ghent, K. L. Veal, and S. S. Folwell (2016), Global observational diagnosis of soil moisture control on the land surface energy balance, Geophys. Res. Lett., 43, 2623–2631, doi:10.1002/2016GL068178.
21. Ghannam, K., T. Nakai, A. Paschalis, C. A. Oishi, A. Kotani, Y. Igarashi, T. Kumagai, and G. G. Katul (2016), Persistence and memory timescales in root-zone soil moisture dynamics, Water Resour. Res., 52, 1427–1445, doi:10.1002/2015WR017983.
22. Guo, Z., et al. (2006), GLACE: The Global Land–Atmosphere Coupling Experiment. Part II: Analysis, J. Hydrometeorol., 7(4), 611–625, doi:10.1175/JHM511.1.
23. Guo, Z., P. A. Dirmeyer, and T. DelSole (2011), Land surface impacts on subseasonal and seasonal predictability, Geophys. Res. Lett., 38, L24812, doi:10.1029/2011GL049945.
24. Ivanov, V. Y., R. L. Bras, and E. R. Vivoni (2008), Vegetation-hydrology dynamics in complex terrain of semiarid areas: 1. A mechanistic approach to modeling dynamic feedbacks, Water Resour. Res., 44, W03429, doi:10.1029/2006WR005588.
25. Jackson, T. J., M. H. Cosh, R. Bindlish, P. J. Starks, D. D. Bosch, M. Seyfried, D. C. Goodrich, M. S. Moran, and J. Du (2010), Validation of advanced microwave scanning radiometer soil moisture products, IEEE Trans. Geosci. Remote Sens., 48(12), 4256–4272, doi:10.1109/TGRS.2010.2051035.
26. Jackson, T. J., et al. (2012), Validation of Soil Moisture and Ocean Salinity (SMOS) soil moisture over watershed networks in the U.S., IEEE Trans. Geosci. Remote Sens., 50(5), 1530–1543, doi:10.1109/TGRS.2011.2168533.
27. Jackson, T., et al. (2016), Calibration and validation for the L2/3_SM_P version 3 data products, SMAP Project, JPL D-93720, Jet Propulsion Laboratory, Pasadena, CA.
28. Kerr, Y. H., et al. (2010), The SMOS Mission: New tool for monitoring key elements of the global water cycle, Proc. IEEE, 98(5), 666–687, doi:10.1109/JPROC.2010.2043032.
29. Koster, R. D., et al. (2004), Regions of strong coupling between soil moisture and precipitation, Science, 305(5687), 1138–1140, doi:10.1126/science.1100217.
30. Koster, R. D., et al. (2006), GLACE: The Global Land–Atmosphere Coupling Experiment. Part I: Overview, J. Hydrometeorol., 7(4), 590–610, doi:10.1175/JHM510.1.
31. Kurc, S. A., and E. E. Small (2004), Dynamics of evapotranspiration in semiarid grassland and shrubland ecosystems during the summer monsoon season, central New Mexico, Water Resour. Res., 40, W09305, doi:10.1029/2004WR003068.
32. Martens, B., D. Miralles, H. Lievens, D. Fernández-Prieto, and N. E. C. Verhoest (2016), Improving terrestrial evaporation estimates over continental Australia through assimilation of SMOS soil moisture, Int. J. Appl. Earth Obs. Geoinf., 48, 146–162, doi:10.1016/j.jag.2015.09.012.
33. Njoku, E. G., and J.-A. Kong (1977), Theory for passive microwave remote sensing of near-surface soil moisture, J. Geophys. Res., 82, 3108–3118, doi:10.1029/JB082i020p03108.
34. Njoku, E. G., T. J. Jackson, V. Lakshmi, T. K. Chan, and S. V. Nghiem (2003), Soil moisture retrieval from AMSR-E, IEEE Trans. Geosci. Remote Sens., 41(2), 215–229, doi:10.1109/TGRS.2002.808243.
35. Porporato, A., P. D'Odorico, F. Laio, and I. Rodriguez-Iturbe (2003), Hydrologic controls on soil carbon and nitrogen cycles. I. Modeling scheme, Adv. Water Resour., 26(1), 45–58, doi:10.1016/S0309-1708(02)00094-5.
36. Rodell, M., and H. K. Beaudoing (2007), GLDAS Noah Land Surface Model L4 3 hourly 0.25 x 0.25 degree subsetted, version 001, doi:10.5067/F4KOLPJZHKOT.
37. Rodriguez-Iturbe, I. (2000), Ecohydrology: A hydrologic perspective of climate-soil-vegetation dynamies, Water Resour. Res., 36, 3–9, doi:10.1029/1999WR900210.
38. Rondinelli, W. J., B. K. Hornbuckle, J. C. Patton, M. H. Cosh, V. A. Walker, B. D. Carr, and S. D. Logsdon (2015), Different rates of soil drying after rainfall are observed by the SMOS satellite and the South Fork in situ Soil Moisture Network, J. Hydrometeorol., 16(2), 889–903, doi:10.1175/JHM-D-14-0137.1.
39. Schneeberger, K., C. Stamm, C. Matzler, and H. Fluhler (2004), Ground-based dual-frequency radiometry of bare soil at high temporal resolution, IEEE Trans. Geosci. Remote Sens., 42(3), 588–595, doi:10.1109/TGRS.2003.821058.
40. Serafini, V. V., and Y. C. Sud (1987), The time scale of the soil hydrology using a simple water budget model, J. Clim., 7(6), 585–591, doi:10.1002/joc.3370070606.
41. Seyfried, M. S., L. E. Grant, E. Du, and K. Humes (2005), Dielectric loss and calibration of the Hydra Probe soil water sensor, Vadose Zone J., 4(4), 1070, doi:10.2136/vzj2004.0148.
42. Xia, Y., et al. (2012), Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products, J. Geophys. Res., 117, D03109, doi:10.1029/2011JD016048.
43. Yang, R., K. Mitchell, J. Meng, and M. Ek (2011), Summer-season forecast experiments with the NCEP climate forecast system using different land models and different initial land states, J. Clim., 24(9), 2319–2334, doi:10.1175/2010JCLI3797.1.