Stochastic transfer function model and neural networks to estimate soil moisture

Journal of the American Water Resources Association

Volumn 44, Issue 4, 2008, Pages 847-865

  Ramírez Beltran, Nazario D ^a   Castro, Joan Manuel ^a   Harmsen, Eric ^b   Vásquez, Ramón ^a  

^a UNIVERSITY OF PUERTO RICO   (Puerto Rico)

^b UPRM   (Puerto Rico)

Author keywords

Neural networks; Sequential quadratic programming; Soil moisture; Transfer function; Vertical profile

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BOOLEAN FUNCTIONS; ERROR ANALYSIS; ESTIMATION; FUNCTIONS; GEOLOGIC MODELS; GROUNDWATER; IMAGE CLASSIFICATION; MATHEMATICAL PROGRAMMING; MOISTURE; MOISTURE DETERMINATION; NEURAL NETWORKS; NONLINEAR PROGRAMMING; PARAMETER ESTIMATION; PERMITTIVITY; QUADRATIC PROGRAMMING; SEQUENTIAL SWITCHING; SOIL MOISTURE; SOILS; STOCHASTIC MODELS; STOCHASTIC PROGRAMMING; TEXTURES; THREE DIMENSIONAL; TRANSFER FUNCTIONS; VEGETATION; WATER RESOURCES;

AMERICAN WATER (CO); ARTIFICIAL NEURAL NETWORK (ANNS); CLIMATE CONDITIONS; CUMULATIVE RAINFALL; ESTIMATION ACCURACIES; FEEDFORWARD ARTIFICIAL NEURAL NETWORK (FANN); GRID CELLS; IN SITU OBSERVATIONS; PUERTO RICO; RICHARD'S EQUATION; ROOT MEAN SQUARED ERROR (RMSE); SELF-ORGANIZED; SEQUENTIAL QUADRATIC PROGRAMMING ALGORITHMS; SOIL MOISTURE (SM); SOIL TEXTURES; SPATIAL RESOLUTION (SR); SPATIAL VARIABILITY; SURFACE TEMPERATURES; TEMPORAL VARIATIONS; TERRAIN ELEVATION; THREE DIMENSIONAL (3D); TRANSFER FUNCTION MODELS; VEGETATION INDEX (VI); VOLUMETRIC WATER CONTENT (VWC);

WATER CONTENT;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; ESTIMATION METHOD; MEASUREMENT METHOD; MODELING; RAINFALL; SOIL MOISTURE; SOIL TEXTURE; STOCHASTICITY; THREE-DIMENSIONAL MODELING; TRANSFER FUNCTION;

EID: 48249095522     PISSN: 1093474X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1752-1688.2008.00208.x     Document Type: Article

References (53)

1. Balsamo, G., F. Bouyssel J. Noilhan, 2004. A Simplified Bi-Dimensional Varaitional Analysis of Soil Moisture From Screen-Level Observations in a Mesoscale Numerical Weather Prediction Model. Quarterly Journal of Royal Meteorological Society 130 : 895 915.
2. Belair, S., G. Balsamo, J-F. Mahfouf G. Deblonde, 2005. Toward the Inclusion of Hydros Soil Moisture Measurements in Forecasting Systems of the Meteorological Service of Canada. In : Geoscience and Remote Sensing Symposium, 2005, IGARSS 2005, Proceedings of the 2005 IEEE International, pp. 2741 2743.
3. Box, G.E.P. G.M. Jenkins, 1976. Time Series Analysis Forecasting and Control. Holden-Day, Oakland, California.
4. Breidenbach, J.P. J.S. Bradberry, 2001. Multisensor Precipitation Estimates Produced by the National Weather Service River Forecast Centers for Hydrologic Applications. Proceedings 2001 Georgia Water Research Conference, Institute of Ecology, University of Georgia, Athens, Georgia.
5. Brockwell, P.J. R.A. Davis, 2002. Introduction to Time Series and Forecasting (Second Edition). Springer-Verlag, New York, New York.
6. Castelli, F., I. Rodriguez-Iturbe D. Entekhabi, 1996. An Analytical Framework for the Modeling of the Spatial Interaction Between the Soil Moisture and the Atmosphere. Journal of Hydrology 184 : 19 34.
7. Cemek, B., R. Meral, M. Apan H. Merdum, 2004. Pedotransfer Function for the Estimation of the Field Capacity and Permanent Wilting Point. Pakistan Journal of Biological Sciences 7 (4 535 541.
8. Comarazamy, D.E., 2001. Atmospheric Modeling of the Caribbean Region: Precipitation and Wind Analysis in Puerto Rico for April 1998, Master Thesis, Department of Mechanical Engineering, University of Puerto Rico, Mayaguez, Puerto Rico.
9. DHI Software, Inc., 2003. Mike She User Guide. Agern Allé 5, DK-2970 Hørsholm, Denmark, dhi@dhigroup.com. 174 pages.
10. Dinar, A., K.C. Knapp D.J. Rhoades, 1986. Production Function for Cotton With Dated Irrigation Quantities and Qualities. Water Resources Research 22 : 1519 1525.
11. Downer, C.W., E.J. Nelson A. Byrd, 2003. Primer: Using Wathershed Modeling System (WMS) for Gridded Surface Subsurface Hydrologi Analysis (GSSHA) Data Development - WMS 6.1 and GSSHA 1.43C. ERDC/CHL TR-03-02. U.S. Army Corps of Engineers, Coastal and Hydraulics Laboratory.
12. Entekhabi, D. I. Rodriguez-Iturbe, 1994. Analytical Framework for the Characterization of the Space-Time Variability of Soil Moisture. Advances in Water Resources, 17 (1-2 35 45.
13. Ewel, J.J. L. Whitmore, 1973. The Ecological Life Zones of Puerto Rico and the U.S. Virgin Islands. U.S. Department of Agriculture Forest Service Research Paper ITF-18. Institute of Tropical Forestry, Rio Piedras, Puerto Rico.
14. Fan, Y., H.M. van den Dool, K. Mithchell D. Lohmann, 2002. NWS-CPC's Monitoring and Prediction of U.S. Soil Moisture and Associated Land Surface Variables: Land Data Reanalysis. Proceedings of the 27th Annual Climate Diagnostics and Prediction Workshop. October 21-25, 2002, George Mason University, Fairfax, Virginia.
15. Fulton, R.A., J.P. Breidenbach, D.J. Seo D.A. Miller, 1998. The WSR-88D Rainfall Algorithm. Weather Forecasting, 13 : 377 395.
16. Goutte, C., 1997. Note on Free Lunches and Cross-Validation. Neural Computation, 9 : 1211 1215.
17. Gill, M.K., T. Asefa, M.W. Kemblouski M. McKee, 2006. Soil Moisture Prediction Using Support Vector Machines. Journal of American Water Resources Association 42 (4 1033 1046.
18. Hagan, M.T., H.B. Demuth M. Beal, 1996. Neural Network Design. PWS Publishing Company, Boston, Massachusetts.
19. Hamilton, J.D., 1994. Time Series Analysis. Princeton University Press, Princeton, New Jersey.
20. Helmer, E.H., 2002. Mapping the Forest Type and Land Cover of Puerto Rico, a Component of the Caribbean Biodiversity Hotspot. Caribbean Journal of Science 38 (3-4 165 183.
21. Huang, J., H. van den Dol K.P. Georgakakos, 1996. Analysis of Model-Calculated Soil Moisture Over the United States (1931-93) and Application to Long-Range Temperature Forecasts. Journal of Climate 9 (6 1350 1362.
22. Hunter, S.M., 1996. WSR-88D Radar Rainfall Estimation: Capabilities, Limitations and Potential Improvements. National Weather Digest 20 : 26 38.
23. Jiang, H. W.R. Cotton, 2004. Soil Moisture Estimation Using an Artificial Neural Network: A Feasible Study. Canadian Journal of Remote Sensing 30 (5 827 839.
24. Klazura, G.E., J.M. Thomale, D.S. Kelly P. Jendrowski, 1999. A Comparison of WsR-88D Rain Estimates UIT Gauge Measurements for High and Low Reflectivity Gradient Precipitation Events. National Weather Service, Honolulu, Hawaii.
25. Kumar, P., 2004. Layer Average Richard's Equation With Lateral Flow. Advances in Water Resources 27 : 521 531.
26. Lee, D.H. L.M. Abriola, 1999. Use of the Richards Equation in Land Surface Parameterization. Journal of Geophysical Research 104 (D22 27519 27526.
27. Margulis, S.A., D. McLaughim, D. Entekhabi S. Dunne, 2002. Land Data Assimilation and Estimation of Soil Moisture Using Measurements From the Southern Great Plains 1997 Field Experiment. Water Resources Research 38 (12 1299.
28. MathWorks, 2000. Optimization Toolbox for Use With Matlab: User's Guide. The MathWorks, Inc., Natick, Massachusetts.
29. McKee, S.R., J.D. Kalma, S.W. Franks Y. Shao, 2001. The Relationship Between Temporal Surface Temperature Trends and Soil Moisture Status: An Exploratory Study With a Coupled Landsurface-Atmosphere Model. IEEE 2001 : 1312 1314.
30. Mehrotra, R., 1999. Sensitivity of Runoff, Soil Moisture and Reservoir Design to Climate Change in Central Indiana River Basins. Climate Change 42 : 725 757.
31. Njoku, E.G., T.J. Jackson, V. Lakshmi, T.K. Chan S.V. Nghiem, 2003. Soil Moisture Retrieval From AMSR-E. IEEE Transactions on Geoscience and Remote Sensing 41 (2 215 229.
32. Njoku, E.G. L. Li, 1999. Retrieval of Land Surface Parameters Using Passive Microwave Measurements at 6-18 GHz. IEEE Transactions on Geoscience and Remote Sensing 37 (1 79 93.
33. Pan, F., C.D. Peters-Lidard M.J. Sale, 2003. An Analytical Method for Predicting Surface Soil Moisture From Rainfall Observations. Water Resources Research 39 (11 1314, doi :, 2003.
34. Pandit, S.M. S.M. Wu, 1983. Time Series and Systems Analysis With Applications. John Wiley and Sons, New York.
35. Pielke, Sr., R.A., W.R. Cotton, R.L. Walko, C.J. Tremback, W.A. Lyons, L.D. Grasso, M.E. Nicholls, M.D. Wesley, T.J. Lee J.H. Copeland 1992. A Comprehensive Meteorological Modeling System- RAMS. Meteorology and Atmospheric Physics 49 : 69 91.
36. Ramirez-Beltran, N.D. J.A. Montes, 2002. Neural Networks to Model Dynamic Systems With Time Delays. IIE Transactions 34 : 313 327.
37. Reklaitis, G.V., A. Ravindran K.M. Ragsdell, 1983. Engineering Optimization: Methods and Applications. John Wiley and Sons, New York, New York.
38. Robock, A., L. Luo, E.F. Wood, F. Wend K.E. Michael 2003. Evaluation of the North American Land Data Assimilation System Over the Southern Great Plain s During the Warm Season. Journal of Geophysics Research 28 D22 8846. doi :.
39. Ross, M., J. Geurink, P. Tara, K. Trout T. Jobes, 2004. Integrated Hydrologic Model (IHM) Volume 1: Theory Manual, Prepared for Tampa Bay Water Publication Number USF-CMHAS 0383.0304.58, University of South Florida, Tampa, Florida.
40. Satalino, G., F. Mattia, M.W.J. Davidson, T.L. Toan, G. Pasquatiello M. Borgeaud, 2002. On Current Limits of Soil Moisture Retrieval From ERS-SAR Data. IEEE Transactions on Geosciences and Remote Sensing 40 (11 2438 2447.
41. Scofield, R.A. R.J. Kuligowski, 2003. Status and Outlook of Operational Satellite Precipitation Algorithms for Extreme-Precipitation Events. Weather and Forecasting 18 : 1037 1051.
42. Spiegel, M.R., 1994. Calculus of Finite Differences and Difference Equations, Schaum's Outline Series. McGraw-Hill, Inc., New York, New York.
43. Stone, M., 1977. Asymptotics for and Against Cross-Validation. Biometrika 64 : 29 35.
44. Strait, S., K.E. Saxton R.I. Papendick, 1979. Pressure and Hydraulic Conductivity Curves for Various Soil Textures. Internal Report. USDA-ARS, Washington State University, Pullman, Washington.
45. Van den Dool, H., J. Huang Y. Fan, 2003. Performance and Analyses of the Constructed Analogue Method Applied to U.S. Soil Moisture Over 1981-2001. Journal of Geophysical Research, 108 : 1 16.
46. Vicente, G.A., R. Scofield W.P. Menzel, 1998. The Operational GOES Infrared Rainfall Estimation Technique. Bulletins of the American Meteorological Society 79 : 1883 1898.
47. Viterbo, P. A.K. Betts, 1999. Impact of the ECMWF Reanalysis Soil Water on Forecasts of the July 1993 Mississippi Flood. Journal of Geophysics Research 104 (D16 19,361 19366.
48. Walker, J.P. P.R. Houser, 2004. Requeriments of a Global Near-Surface Soil Moisture Satellite Mission: Accuracy, Repeat Time, and Spatial Resolution. Advances in Water Resources 27 : 785 801.
49. Walker, J.P., G.R. Willgoose J.D. Kalma, 2002. Three-Dimensional Soil Moisture Profile Retrieval by Assimilation of Near-Surface Measurements: Simplified Kalman Filter Covariance Forecasting and Field Application. Water Resource Research, 38 (12 1301.
50. Wei, W.S., 1990. Time Series Analysis: Univariate and Multivariate Methods. Addison-Wesley, Redwood City, California.
51. Westrick, K.J., C.F. Mass B.A. Colle, 1999. The Limitations of the WSR-88D Radar Network for Quantitative Precipitation Measurement Over the Western United States. Bulletins of the American Meteorological Society 80 : 2289 2298.
52. Yeh, G.T., H.P. Cheng, J.R. Cheng, H.C.J. Lin W.D. Martin, 1998. A Numerical Model Simulating Water Flow and Contaminant and Sediment Transport in WAterSHed Systems of 1-D Stream-River Network, 2-D Overland Regime, and 3-D Subsurface Media (WASH123D: Version 1.0), Technical Report CHL-98-19, U.S. Army Corps of Engineering, Waterway Experiment Station, Vicksburg, Mississippi.
53. Zongqian, L., T. Yuhua L. Ning, 2000. Inversion of the Soil Moisture Based Upon Neural Network. In: IEEE, Antennas, Propagation and EM theory, 2000. Proceedings of the ISAPE 2000, 5th International Symposium, Beijing, China, pp. 398 400.