Improved rainfall/runoff estimates using remotely sensed soil moisture

Journal of the American Water Resources Association

Volumn 39, Issue 2, 2003, Pages 313-324

  Jacobs, Jennifer M ^a   Myers, David A ^a   Whitfield, Brent M ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

Curve number; Rainfall runoff; Remote sensing; Soil moisture; Surface water hydrology

Indexed keywords

DATA REDUCTION; REMOTE SENSING; SOIL MECHANICS;

SOIL MOISTURE;

RAIN;

RAINFALL-RUNOFF MODELING; REMOTE SENSING; SOIL MOISTURE; SURFACE WATER; WATERSHED;

GREAT PLAINS; OKLAHOMA; UNITED STATES;

EID: 0038713251     PISSN: 1093474X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1752-1688.2003.tb04386.x     Document Type: Article

References (47)

1. Allen, P. B. and J. W. Naney, 1991. Hydrology of the Little Washita River Watershed, Oklahoma: Data and Analyses. USDA, ARS-90, 74 pp.
2. Alley, W. M., 1984. The Palmer Drought Severity Index: Limitations and Assumptions. Journal of Climate and Applied Meteorology 23(7):1100-1109.
3. Briffa, K. R., P. D. Jones, and M. Hulme, 1994. Summer Moisture Availability Across Europe, 1892-1991: An Analysis Based on the Palmer Drought Severity Index. International Journal of Climatology 14(5):475-506.
4. Chow, V. T., D. R. Maidment, and L. W. Mays, 1988. Applied Hydrology. McGraw-Hill, Inc., New York, New York.
5. Clapp, R. B. and G. M. Hornberger, 1978. Empirical Equations for Some Soil Hydraulic Properties. Water Resources Research 14(4):601-604.
6. De Michele C. and G. Salvadori, 2002. On the Derived Flood Frequency Distribution: Analytical Formulation and the Influence of Antecedent Soil Moisture Condition. Journal of Hydrology 262(1-4):245-258.
7. Durre, I., J. M. Wallace, and D. P. Lettenmaier, 2000. Dependence of Extreme Daily Maximum Temperatures on Antecedent Soil Moisture in the Contiguous United States During Summer. Journal of Climate 13(14):2641-2651.
8. Engman, E. T. and R. J. Gurney, 1991. Runoff. In: Remote Sensing in Hydrology, E. T. Engman and R. J. Gurney (Editors). Chapman and Hall, New York, New York. Chapter 6, pp. 103-126
9. Famiglietti, J. S., J. A. Devereaux, C. A. Laymon, T. Tsegaye, P. R. Houser, T. J. Jackson, S. T. Graham, M. Rodell, and P. J van Oevelen, 1999. Ground-Based Investigation of Soil Moisture Variability Within Remote Sensing Footprints During the Southern Great Plains 1997 (SGP97) Hydrology Experiment. Water Resources Research 35:1839-1851.
10. Goodrich, D. C., T. J. Schmugge, T. J. Jackson, C. L. Unkrich, T. O. Keefer, R. Parry, L. B. Bach, and S. A. Amer, 1994. Runoff Simulation Sensitivity to Remotely Sensed Initial Soil Water Content. Water Resources Research 30(5):1393-1405.
11. Guha, A. E. Hsu, J. M. Jacobs, J. Judge, and M. H. Cosh, 2002. ESTAR Brightness Temperatures for Soil Moisture Estimation and Spatial Characterization of the Retrieved Fields: Study From SGP99, Eos Trans. AGU 83 (47), Fall Meet. Suppl., Abstract H72E-0899.
12. Hawkins, R. H., A. T. Hjelmfelt, and A. W. Zevenbergen, 1985. Runoff Probability, Storm Depth, and Curve Numbers. Journal of Irrigation and Drainage Engineering 111(4):330-340.
13. Hawkins, R. H., 1993. Asymptotic Determination of Runoff Curve Numbers From Data. Journal of Irrigation and Drainage 199(2):334-345.
14. Hjelmfelt, A. T., 1991. Investigation of Curve Number Procedure. Journal of Hydraulic Engineering 117(6):725-737.
15. Hu, Z., S. Islam, and Y. Cheng, 1997. Statistical Characterization of Remotely Sensed Soil Moisture Images. Remote Sensing Environment 61:310-318.
16. Irmak A., J. W. Jones, W. D. Batchelor, and J. O. Paz, 2001. Estimating Spatially Variable Soil Properties for Application of Crop Models in Precision Farming. Transactions of the ASAE 44:1343-1353.
17. Kohler, M. A. and R. K. Linsley, 1951. Predicting Runoff From Storm Rainfall. U.S. Weather Bureau, Research Paper 34.
18. Jackson, T. J. and P. O'Neill, 1987. Temporal Observations of Surface Soil Moisture Using a Passive Microwave Sensor. Remote Sensing of Environment 21:281-296.
19. Jackson, T. J. and P. O'Neill, 1990. Attenuation of Soil Microwave Emission by Corn and Soybeans at 1.4 and 5 GHz, IEEE Transactions on Geoscience and Remote Sensing 28:978-980.
20. Jackson, T. J. and T. J. Schmugge, 1991. Vegetation Effects on the Microwave Emission of Soils. Remotes Sensing of Environment 36:203-212.
21. Jackson, T. J. and F. R. Schiebe (Editors), 1993. Washita'92 Data Report. NAWQL Report 101, USDA National Agricultural Water Quality Lab, Durant Oklahoma.
22. Jackson, T. J., D. M. Le Vine, T. C. Swift, T. J. Schmugge, and F. R. Schiebe, 1995. Large Area Mapping of Soil Moisture Using the ESTAR Passive Microwave Radiometer in Washita'92. Remote Sensing of Environment 53:27-37.
23. Jackson, T. J. and D. M. Le Vine, 1996. Mapping Surface Soil Moisture Using an Aircraft-Based Passive Microwave Instrument: Algorithm and Example. Journal of Hydrology 184:85-99.
24. Jackson, T. J., T. J. Schmugge, and E. T. Engman, 1996. Remote Sensing Applications to Hydrology. Hydrological Sciences Journal 41(4):517-530.
25. Jackson, T. J., T. J. Schmugge, and E. T. Engman, 1998. Soil Water Infiltration Observation With Microwave Radiometers. IEEE Transactions on Geoscience and Remote Sensing 36(5):1376-1383.
26. Jackson, T. J., D. M. Le Vine, A. Y. Hsu, A. Oldak, P. J. Starks, C. T. Swift, J. Isham, and M. Haken, 1999. Soil Moisture Mapping at Regional Scales Using Microwave Radiometry: The Southern Great Plains Hydrology Experiment. IEEE Transactions on Geoscience and Remote Sensing 37:2136-2151.
27. Judge, J., A. W. England, W. L. Crosson, C. A. Laymon, B. K. Hornbuckle, D. L. Boprie, E. J. Kim, and Y. A. Liou, 1999. A Growing Season Land Surface Process/Radiobrightness Model for Wheat-Stubble in the Southern Great Plains. IEEE Transactions on Geoscience and Remote Sensing 37:2152-2158.
28. Kustas, W. P., T. J. Schmugge, K. S. Humes, T. J. Jackson, R. Parry, M. A. Weltz, and M. S. Moran, 1993. Relationships Between Evaporative Fraction and Remotely Sensed Vegetation Index and Microwave Brightness Temperature for Semiarid Rangelands. Journal of Applied Meteorology 32:1781-1790.
29. Laymon, C. A., W. L. Crosson, T. J. Jackson, A. Manu, and T. D Tsegaye, 2001. Ground-Based Passive Microwave Remote Sensing Observations of Soil Moisture at S-Band and L-Band With Insight Into Measurement Accuracy IEEE Transactions on Geoscience and Remote Sensing 39:1844-1858.
30. Michele, C. D. and G. Salvadori, 2002. On the Flood Frequency Distribution: Analytical Formulation and the Influence of Antecedent Soil Moisture Condition. Journal of Hydrology 262(1-4):245-258.
31. Peters-Lidard, C. D., F. Pan, and E. F. Wood. 2001. A Re-Examination of Modeled and Measured Soil Moisture Spatial Variability and Its Implications for Land Surface Modeling. Advances in Water Resources 24:1069-1083.
32. Palmer, W. C., 1965. Meteorologic Drought. U.S. Weather Bureau, Research Paper 45, 58 pp.
33. Pelletier, J. D., B. D. Malamud, T. Blodgett, and D. L. Turcotte, 1997. Scale-Invariance of Soil Moisture Variability and Its Implications for the Frequency-Size Distribution of Landslides. Engineering Geology 48:255-268.
34. Ponce, V. M. and R. H. Hawkins, 1996. Runoff Curve Number: Has It Reached Its Maturity? Journal of Hydrologic Engineering 1(1):11-19.
35. Rallison, R. E. and R. C. Cronshey, 1979. Runoff Curve Number With Varying Site Moisture. Journal of Irrigation and Drainage Engineering 105(4):439-441
36. Rode M. and K. E. Lindenschmidt, 2001. Distributed Sediment and Phosphorus Transport Modeling on a Medium Sized Catchment in Central Germany. Physics and Chemistry of the Earth Part B-Hydrology Oceans and Atmosphere 26(7-8):635-640.
37. Rodriguez-Iturbe, I., G. K. Vogel, R. Rigon, D. Entekhabi, F. Castelli, and A. Rinaldo, 1995. On the Spatial Organization of Soil Moisture Fields. Geophysical Research Letters 22(20):2757-2760.
38. Simanton, J. R., R. H. Hawkins, M. Mohseni-Saravi, and K. G. Renard, 1996. Runoff Curve Number Variation With Drainage Area, Walnut Gulch, Arizona. Transactions of the ASAE 39(4):1391-1394
39. Singh, V. P., 1989. Hydrologic Systems Watershed Modeling. Symposium on Watershed Management, ASCE, New York, New York, Vol. 2, pp. 912-924.
40. Spencer, R., F. Wentz, C. Kummerow, T. Wilheit, R. Ferraro, D. Cavalieri, J. Comiso, A. Chang, and E. Njoku, 1999. AMSR-E Science Data Validation Plan: Version 2. Available at http://www.ghcc.msfc.nasa.gov/AMSR/documents.html. Accessed in 2002.
41. Teng, W. L., J. R. Wang, and P. C. Doraiswamy, 1993. Relationship Between Satellite Microwave Radiometric Data, Antecedent Precipitation Index, and Regional Soil Moisture. International Journal of Remote Sensing 14 (13):2483-2500.
42. USDA-SCS (U.S. Department of Agriculture-Soil Conservation Service), 1985. National Engineering Handbook, Section 4, Hydrology. U.S. Dept. of Agriculture, Washington D.C.
43. Viessman, W. and G. L. Lewis, 1988. Introduction to Hydrology. Harper Collins College Publishers, New York, New York.
44. Wood, E. F., 1976. An Analysis of the Effects of Parameter Uncertainty in Deterministic Hydrologic Models. Water Resour. Res. 12(5):925-932.
45. Wood, E. F., 1995. Scaling Behavior of Hydrological Fluxes and Variables: Empirical Studies Using a Hydrological Model and Remote Sensing Data. Hydrological Processes 9(3-4):331-346.
46. Yu, Z., M. N. Lakhtakia, B. Yarnal, R. A. White, D. A. Miller, B. Frakes, E. J. Barron, C. Duffy, and F. W. Schwartz, 1999. Simulating the River-Basin Response to Atmospheric Forcing by Linking a Mesoscale Meteorological Model and Hydrologic Model System. Journal of Hydrology 218:72-91.
47. Yu, Z. B., R. A. White, Y. J. Guo, J. Voortman, P. J. Kolb, D. A. Miller, and A. Miller, 2001. Stormflow Simulation Using a Geographical Information System With a Distributed Approach. Journal of the American Water Resources Association 37:957-971.