The north American soil moisture database development and applications

Bulletin of the American Meteorological Society

Volumn 97, Issue 8, 2016, Pages 1441-1460

  Quiring, Steven M ^a   Ford, Trent W ^b   Wang, Jessssica K ^c   Khong, Angela ^a   Harris, Elizabeth ^d   Lindgren, Terra ^a   Goldberg, Daniel W ^a   Li, Zhongxia ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

^b SOUTHERN ILLINOIS UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d MONTANA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MOISTURE; SATELLITES; SOILS;

DATABASE DEVELOPMENT; HIGH QUALITY; IS STATION; NORTH AMERICAN; SATELLITE SOIL MOISTURE; SITU SOIL MOISTURES; SOIL MOISTURE OCEAN SALINITIES; VALIDATION STUDY;

SOIL MOISTURE;

EID: 84963561455     PISSN: 00030007     EISSN: None     Source Type: Journal    
DOI: 10.1175/BAMS-D-13-00263.1     Document Type: Article

References (78)

1. Al Bitar, A., D. Leroux, Y. H. Kerr, O. Merlin, P. Richaume, A. Sahoo, and E. F. Wood, 2012: Evaluation of SMOS soil moisture products over continental U.S. using the SCAN/SNOTEL network. IEEE Trans. Geosci. Remote Sens., 50, 1572-1586, doi:10.1109/TGRS.2012.2186581.
2. Anderson, W. B., B. F. Zaitchik, C. R. Hain, M. C. Anderson, M. T. Yilmaz, J. Mecikalski, and L. Schultz, 2012: Towards an integrated soil moisture drought monitor for East Africa. Hydrol. Earth Syst. Sci., 16, 2893-2913, doi:10.5194/hess-16-2893-2012.
3. Bolten, J. D., W. T. Crow, Z. Xiwu, T. J. Jackson, and C. A. Reynolds, 2010: Evaluating the utility of remotely sensed soil moisture retrievals for operational agricultural drought monitoring. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 3, 57-66, doi:10.1109 /JSTARS.2009.2037163.
4. Cai, W., T. Cowan, P. Briggs, and M. Raupach, 2009: Rising temperature depletes soil moisture and exacerbates severe drought conditions across southeast Australia. Geophys. Res. Lett., 36, L21709, doi:10.1029/2009GL040334.
5. 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., 117, D09113, doi:10.1029/2011JD017095.
6. Dirmeyer, P. A., F. J. Zeng, A. Ducharne, J. C. Morrill, and R. D. Koster, 2000: The sensitivity of surface fluxes to soil water content in three land surface schemes. J. Hydrometeor., 1, 121-134, doi:10.1175/1525-7541(2000)001 0121:TSOSFT2.0.CO;2.
7. Dorigo, W. A., and Coauthors, 2011: The International Soil Moisture Network: A data hosting facility for global in situ soil moisture measurements. Hydrol. Earth Syst. Sci., 15, 1675-1698, doi:10.5194/hess-15-1675-2011.
8. -, R. de Jeu, D. Chung, R. Parinussa, Y. Liu, W. Wagner, and D. Fernández-Prieto, 2012: Evaluating global trends (1988-2010) in harmonized multi-satellite surface soil moisture. Geophys. Res. Lett., 39, L18405, doi:10.1029/2012GL052988.
9. -, and Coauthors, 2013: Global automated quality control of in situ soil moisture data from the International Soil Moisture Network. Vadose Zone J., 12, doi:10.2136/vzj2012.0097.
10. Durre, I., M. J. Menne, B. E. Gleason, T. G. Houston, and R. S. Vose, 2010: Comprehensive automated quality assurance of daily surface observations. J. Appl. Meteor. Climatol., 49, 1615-1633, doi:10.1175 /2010JAMC2375.1.
11. Fan, Y., H. M. van den Dool, and W. Wu, 2011: Verification and intercomparison of multimodel simulated land surface hydrological datasets over the United States. J. Hydrometeor., 12, 531-555, doi:10.1175/2011JHM1317.1.
12. Fiebrich, C. A., C. R. Morgan, A. G. McCombs, P. K. Hall Jr., and R. A. McPherson, 2010: Quality assurance procedures for mesoscale meteorological data. J. Atmos. Oceanic Technol., 27, 1565-1582, doi:10.1175/2010JTECHA1433.1.
13. Findell, K. L., and E. A. B. Eltahir, 1997: An analysis of the soil moisture-rainfall feedback, based on direct observations from Illinois. Water Resour. Res., 33, 725-735, doi:10.1029/96WR03756.
14. -, P. Gentine, B. R. Lintner, and C. Kerr, 2011: Probability of afternoon precipitation in eastern United States and Mexico enhanced by high evaporation. Nature, 4, 434-439, doi:10.1038/ngeo1174.
15. Ford, T. W., and S. M. Quiring, 2013: Influence of MODiS-derived dynamic vegetation on VIC-simulated soil moisture in Oklahoma. J. Hydrometeor., 14, 1910-1921, doi:10.1175/JHM-D-13-037.1.
16. -, and-, 2014a: In-situ soil moisture coupled with extreme temperatures: A study based on the Oklahoma Mesonet. Geophys. Res. Lett., 41, 4727-4734, doi:10.1002/2014GL060949.
17. -, and-, 2014b: Comparison and application of multiple methods for the interpolation of soil moisture observations. Int. J. Climatol., 34, 2604-2621, doi:10.1002/joc.3862.
18. -, E. K. Harris, and S. M. Quiring, 2014a: Estimating root zone soil moisture using near-surface observations from SMOS. Hydrol. Earth Syst. Sci., 18, 139-154, doi:10.5194/hess-18-139-2014.
19. -, C. O. Wulff, and S. M. Quiring, 2014b: Assessment of observed and model-derived soil moisture-evaporative fraction relationships over the United States Southern Great Plains. J. Geophys. Res. Atmos., 119, 6279-6291, doi:10.1002/2014JD021490.
20. -, A. D. Rapp, and S. M. Quiring, 2015a: Does afternoon precipitation occur preferentially over dry or wet soils in Oklahoma? J. Hydrometeor., 16, 874-888, doi:10.1175/JHM-D-14-0005.1.
21. -,-,-, and J. Blake, 2015b: Soil moisture-precipitation coupling: Observations from the Oklahoma Mesonet and underlying physical mechanisms. Hydrol. Earth Syst. Sci., 19, 3617-3631, doi:10.5194/hess-19-3617-2015.
22. Gentine, P., A. A. M. Holtslag, F. D'Andrea, and M. Ek, 2013: Surface and atmospheric controls on the onset of moist convection over land. J. Hydrometeor., 14, 1443-1462, doi:10.1175/JHM-D-12-0137.1.
23. Georgakakos, K. P., and D. Bae, 1994: Climatic variability of soil water in the American Midwest: Part 2 Spatio-temporal analysis. J. Hydrol., 162, 379-390, doi:10.1016/0022-1694(94)90237-2.
24. Guo, Z., and P. A. Dirmeyer, 2013: Interannual variability of land-atmosphere coupling strength. J. Hydrometeor., 14, 1636-1646, doi:10.1175/JHM-D-12-0171.1.
25. Harrison, K. W., S. V. Kumar, C. D. Peters-Lidard, and J. A. Santanello, 2012: Quantifying the change in soil moisture modeling uncertainty from remote sensing observations using Bayesian inference techniques. Water Resour. Res., 48, W11514, doi:10.1029 /2012WR012337.
26. Hirschi, M., and Coauthors, 2011: Observational evidence for soil-moisture impact on hot extremes in southeastern Europe. Nature, 4, 17-21, doi:10.1038/ngeo1032.
27. Hoerling, M., and Coauthors, 2013: Anatomy of an extreme event. J. Climate, 26, 2811-2832, doi:10.1175 /JCLI-D-12-00270.1.
28. Hollinger, S. E., and S. A. Isard, 1994: A soil moisture climatology of Illinois. J. Climate, 7, 822-833, doi:10.1175/1520-0442(1994)0070822:ASMCOI 2.0.CO;2.
29. Hubbard, K., S. Goddard, W. Sorensen, N. Wells, and T. Osugi, 2005: Performance of quality assurance procedures for an applied climate information system. J. Atmos. Oceanic Technol., 22, 105-112, doi:10.1175/JTECH-1657.1.
30. Illston, B. G., J. B. Basara, and K. C. Crawford, 2004: Seasonal to interannual variations in soil moisture measured in Oklahoma. Int. J. Climatol., 24, 1883-1896, doi:10.1002/joc.1077.
31. -,-, 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, 167-182, doi:10.1175/2007JTECHA993.1.
32. Ingleby, B., and M. Huddleston, 2007: Quality control of ocean temperature and salinity profiles-Historical and real-time data. J. Mar. Syst., 65, 158-175, doi:10.1016/j.jmarsys.2005.11.019.
33. Jackson, T. J., and Coauthors, 2012: Validation of Soil Moisture and Ocean Salinity (SMOS) soil moisture over watershed networks in the U.S. IEEE Trans. Geosci. Remote Sens., 50, 1530-1543, doi:10.1109 /TGRS.2011.2168533.
34. Jiang, X., G.-Y. Niu, and Z.-L. Yang, 2009: Impacts of vegetation and groundwater dynamics on warm season precipitation over the Central United States. J. Geophys. Res., 114, D06109, doi:10.1029/2008JD010756.
35. Journée, M., and C. Bertrand, 2011: Quality control of solar radiation data within the RMIB solar measurements network. Sol. Energy, 85, 72-86, doi:10.1016 /j.solener.2010.10.021.
36. Khong, A., J. K. Wang, S. M. Quiring, and T. W. Ford, 2015: Soil moisture variability in Iowa. Int. J. Climatol., 35, 2837-2848, doi:10.1002/joc.4176.
37. Koster, R. D., and Coauthors, 2004: Regions of strong coupling between soil moisture and precipitation. Science, 305, 1138-1140, doi:10.1126/science.1100217.
38. -, and Coauthors, 2006: GLACE: The Global Land-Atmosphere Coupling Experiment. Part I: Overview. J. Hydrometeor., 7, 590-610, doi:10.1175/JHM510.1.
39. Kumar, S. V., R. H. Reichle, K. W. Harrison, C. D. Peters-Lidard, S. Yatheendradas, and J. A. Santanello, 2012: A comparison of methods for a priori bias correction in soil moisture data assimilation. Water Resour. Res., 48, W03515, doi:10.1029/2010WR010261.
40. Legates, D. R., R. Mahmood, D. F. Levia Jr., T. DeLiberty, S. M. Quiring, C. Houser, and F. E. Nelson, 2011: Soil moisture: A central and unifying theme in physical geography. Prog. Phys. Geogr., 35, 65-86, doi:10.1177/0309133310386514.
41. Leib, B. G., J. D. Jabro, and G. R. Matthews, 2003: Field evaluation and performance comparison of soil moisture sensors. Soil Sci., 168, 396-408, doi:10.1097/01.ss.0000075285.87447.86.
42. Markewitz, D., S. Devine, E. A. Davidson, P. Brando, and D. C. Nepstad, 2010: Soil moisture depletion under simulated drought in the Amazon: Impacts on deep root uptake. New Phytol., 187, 592-607, doi:10.1111/j.1469-8137.2010.03391.x.
43. McPherson, R. A., and Coauthors, 2007: Statewide monitoring of the mesoscale environment: A technical update on the Oklahoma Mesonet. J. Atmos. Oceanic Technol., 24, 301-321, doi:10.1175/JTECH1976.1.
44. Meng, L., and S. M. Quiring, 2010: Examining the influence of spring soil moisture anomalies on summer precipitation in the U.S Great Plains using the Community Atmosphere Model version 3 (CAM3). J. Geophys. Res., 115, D21118, doi:10.1029 /2010JD014449.
45. Merchant, C. J., P. Le Borgne, A. Marsouin, and H. Roquet, 2008: Optimal estimation of sea surface temperature from split-window observations. Remote Sens. Environ., 112, 2469-2484, doi:10.1016 /j.rse.2007.11.011.
46. Mozny, M., M. Trnka, Z. Zalud, P. Hlavinka, J. Nekovar, V. Potop, and M. Virag, 2012: Use of a soil moisture network for drought monitoring in the Czech Republic. Theor. Appl. Climatol., 107, 99-111, doi:10.1007/s00704-011-0460-6.
47. Myoung, B., and J. W. Nielsen-Gammon, 2010: The convective instability pathway to warm season drought in Texas. Part I: The role of convective inhibition and its modulation by soil moisture. J. Climate, 23, 4461-4473, doi:10.1175/2010JCLI2946.1.
48. Namias, J., 1991: Spring and summer 1988 drought over the contiguous United States-Causes and prediction. J. Climate, 4, 54-65, doi:10.1175/1520-0442(1991)0040054:SASDOT 2.0.CO;2.
49. Narasimhan, B., and R. Srinivasan, 2005: Development and evaluation of Soil Moisture Deficit Index (SMDi) and Evapotranspiration Deficit Index (ETDi) for agricultural drought monitoring. Agric. For. Meteor., 133, 69-88, doi:10.1016/j.agrformet.2005.07.012.
50. Oglesby, R. J., and D. J. Erickson III, 1989: Soil moisture and the persistence of North American drought. J. Climate, 2, 1362-1380, doi:10.1175/1520-0442(1989)0021362: SMATPO2.0.CO;2.
51. Oleson, K. W., and Coauthors, 2004: Technical description of the Community Land Model (CLM). NCAR Tech. Note NCAR/TN-461+STR, 174 pp., doi:10.5065/D6N877R0.
52. -, and Coauthors, 2008: Improvements to the Community Land Model and their impact on the hydrological cycle. J. Geophys. Res., 113, G01021, doi:10.1029/2007JG000563.
53. Pal, J. S., and E. A. B. Eltahir, 2001: Pathways relating soil moisture conditions to future summer rainfall within a model of the land-atmosphere system. J. Climate, 14, 1227-1242, doi:10.1175/1520-0442(2001)0141227: PRSMCT2.0.CO;2.
54. Quiring, S. M., and T. N. Papakryiakou, 2003: An evaluation of agricultural drought indices for the Canadian prairies. Agric. For. Meteor., 118, 49-62, doi:10.1016/S0168-1923(03)00072-8.
55. Reybold, W. U., and G. W. TeSelle, 1989: Soil geographic data bases. J. Soil Water Conserv., 44, 28-29.
56. Robock, A., K. Y. Vinnikov, G. Srinivasan, J. K. Entin, S. E. Hollinger, N. A. Speranskaya, S. Liu, and A. Namkhai, 2000: The Global Soil Moisture Data Bank. Bull. Amer. Meteor. Soc., 81, 1281-1299, doi:10.1175 /1520-0477(2000)0811281:TGSMDB2.3.CO;2.
57. -, and Coauthors, 2003: Evaluation of the North American Land Data Assimilation System over the southern Great Plains during the warm season. J. Geophys. Res., 108, 8846, doi:10.1029/2002JD003245.
58. Rowlandson, T. L., B. K. Hornbuckle, L. M. Bramer, J. C. Patton, and S. D. Logsdon, 2012: Comparisons of evening and morning SMOS passes over the Midwest United States. IEEE Trans. Geosci. Remote Sens., 50, 1544-1555, doi:10.1109/TGRS.2011.2178158.
59. Schaake, J. C., and Coauthors, 2004: An intercomparison of soil moisture fields in the North American Land Data Assimilation System (NLDAS). J. Geophys. Res., 109, D01S90, doi:10.1029/2002JD003309.
60. Schroeder, J. L., W. S. Burgett, K. B. Haynie, I. Sonmez, G. D. Skwira, A. L. Doggett, and J. W. Lipe, 2005: The West Texas Mesonet: A technical overview. J. Atmos. Oceanic Technol., 22, 211-222, doi:10.1175/JTECH-1690.1.
61. Schubert, S. D., M. J. Suarez, P. J. Pegion, R. D. Koster, and J. T. Bacmeister, 2004: Causes of long-term drought in the U.S. Great Plains. J. Climate, 17, 485-503, doi:10.1175/1520-0442(2004)0170485: COLDiT2.0.CO;2.
62. Shafer, M. A., C. A. Fiebrich, D. S. Arndt, S. E. Fredrickson, and T. W. Hughes, 2000: Quality assurance procedures in the Oklahoma Mesonetwork. J. Atmos. Oceanic Technol., 17, 474-494, doi:10.1175/1520-0426 (2000)0170474:QAPITO2.0.CO;2.
63. Tang, C., and T. C. Piechota, 2009: Spatial and temporal soil moisture and drought variability in the Upper Colorado River Basin. J. Hydrol., 379, 122-135, doi:10.1016/j.jhydrol.2009.09.052.
64. Tang, Q., E. R. Vivoni, F. Muñoz-Arriola, and D. P. Lettenmaier, 2012: Predictability of evapotranspiration patterns using remotely sensed vegetation dynamics during the North American Monsoon. J. Hydrometeor., 13, 103-121, doi:10.1175/JHM-D-11-032.1.
65. Taylor, C. M., A. Gounou, F. Guichard, P. P. Harris, R. J. Ellis, F. Couvreux, and M. De Kauwe, 2011: Frequency of Sahelian storm initiation enhanced over mesoscale soil-moisture patterns. Nat. Geosci., 4, 430-433, doi:10.1038/ngeo1173.
66. -, R. A. de Jeu, F. Guichard, P. P. Harris, and W. A. Dorigo, 2012: Afternoon rain more likely over drier soils. Nature, 489, 423-426, doi:10.1038/nature11377.
67. Tei, S., A. Sugimoto, H. Yonenobu, T. Yamazaki, and T. C. Maximov, 2013: Reconstruction of soil moisture for the past 100 years in eastern Siberia by using d13C of larch tree rings. J. Geophys. Res. Biogeosci., 118, 1256-1265, doi:10.1002/jgrg.20110.
68. Teuling, A. J., and Coauthors, 2010: Contrasting response of European forest and grassland energy exchange to heatwaves. Nat. Geosci., 3, 722-727, doi:10.1038/ngeo950.
69. Wang, A., D. P. Lettenmaier, and J. Sheffield, 2011: Soil moisture drought in China, 1950-2006. J. Climate, 24, 3257-3271, doi:10.1175/2011JCLI3733.1.
70. Wu, W., and R. E. Dickinson, 2004: Time scales of layered soil moisture memory in the context of land-atmosphere interaction. J. Climate, 17, 2752-2764, doi:10.1175/1520-0442(2004)0172752:TSOLSM 2.0.CO;2.
71. -, M. A. Geller, and R. E. Dickinson, 2002: The response of soil moisture to long-term variability of precipitation. J. Hydrometeor., 3, 604-613, doi:10.1175 /1525-7541(2002)0030604:TROSMT2.0.CO;2.
72. Xia, Y., M. B. Ek, Y. Wu, T. W. Ford, and S. M. Quiring, 2015a: Comparison of NLDAS-2 simulated and NASMD observed daily soil moisture. Part I: Comparison and analysis. J. Hydrometeor., 16, 1962-1980, doi:10.1175/JHM-D-14-0096.1.
73. -,-, T. W. Ford, and S. M. Quiring, 2015b: Comparison of NLDAS-2 simulated and NASMD observed daily soil moisture. Part II: Impact of soil texture and vegetation type mismatch. J. Hydrometeor., 16, 1981-2000, doi:10.1175/JHM-D-14-0097.1.
74. -, T. W. Ford, Y. Wu, S. M. Quiring, and M. B. Ek, 2015c: Automated quality control of in situ soil moisture from the North American Soil Moisture Database using NLDAS-2 products. J. Appl. Meteor. Climatol., 54, 1267-1282, doi:10.1175/JAMC-D-14-0275.1.
75. You, J., K. G. Hubbard, R. Mahmood, V. Sridhar, and D. Todey, 2010: Quality control of soil water data in Applied Climate Information System-Case study in Nebraska. J. Hydrol. Eng., 15, 200-209, doi:10.1061 /(ASCE)HE.1943-5584.0000174.
76. Yuan, X., E. F. Wood, N. W. Chaney, J. Sheffield, J. Kam, M. Liang, and K. Guan, 2013: Probabilistic seasonal forecasting of African drought by dynamical models. J. Hydrometeor., 14, 1706-1720, doi:10.1175 /JHM-D-13-054.1.
77. Zampieri, M., F. D'Andrea, R. Vautard, P. Ciais, N. de Noblet-Ducoudré, and P. Yiou, 2009: Hot European summers and the role of soil moisture in the propagation of Mediterranean drought. J. Climate, 22, 4747-4758, doi:10.1175/2009JCLI2568.1.
78. Zhang, Y., and M. Wegehenkel, 2006: Integration of MODiS data into a simple model for the spatial distributed simulation of soil water content and evapotranspiration. Remote Sens. Environ., 104, 393-408, doi:10.1016/j.rse.2006.05.011.