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Articles

A quality assessment of the soil water index by the propagation of ASCAT soil moisture error estimates through an exponential filter

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Pages 232-257 | Received 28 Feb 2017, Accepted 13 Sep 2017, Published online: 25 Sep 2017

References

  • Albergel, C., L. Brocca, W. Wagner, P. de Rosnay, and J.-C. Calvet. 2013. “Selection of Performance Metrics for Global Soil Moisture Products: The Case of ASCAT Product.” In Remote Sensing of Energy Fluxes and Soil Moisture Content, edited by G. P. Petropoulos, 427–443. Boca Raton: CRC Press. doi:10.1201/b15610-22.
  • Albergel, C., C. Rüdiger, D. Carrer, J.-C. Calvet, N. Fritz, V. Naeimi, Z. Bartalis, and S. Hasenauer. 2009. “An Evaluation of ASCAT Surface Soil Moisture Products with In-Situ Observations in Southwestern France.” Hydrology and Earth System Sciences 13 (2): 115–124. doi:10.5194/hess-13-115-2009.
  • Albergel, C., C. Rüdiger, T. Pellarin, J.-C. Calvet, N. Fritz, F. Froissard, D. Suquia, A. Petitpa, B. Piguet, and E. Martin. 2008. “From Near-Surface to Root-Zone Soil Moisture Using an Exponential Filter: An Assessment of the Method Based on In-Situ Observations and Model Simulations.” Hydrology and Earth System Sciences 12 (6): 1323–1337. doi:10.5194/hess-12-1323-2008.
  • Alvarez-Garreton, C., D. Ryu, A. W. Western, W. T. Crow, and D. E. Robertson. 2014. “The Impacts of Assimilating Satellite Soil Moisture into a Rainfall-Runoff Model in a Semi-Arid Catchment.” Journal of Hydrology 519: 2763–2774. doi:10.1016/j.jhydrol.2014.07.041.
  • Arya, L. M., J. C. Richter, and J. F. Paris. 1983. “Estimating Profile Water Storage from Surface Zone Soil Moisture Measurements under Bare Field Conditions.” Water Resources Research 19 (2): 403–412. doi:10.1029/WR019i002p00403.
  • Brocca, L., W. T. Crow, L. Ciabatta, C. Massari, P. de Rosnay, M. Enenkel, S. Hahn, et al. 2017. “A Review of the Applications of ASCAT Soil Moisture Products.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 (5): 2285–2306. doi:10.1109/JSTARS.2017.2651140.
  • Brocca, L., S. Hasenauer, T. Lacava, F. Melone, T. Moramarco, W. Wagner, W. Dorigo, et al. 2011. “Soil Moisture Estimation through ASCAT and AMSR-E Sensors: An Inter-Comparison and Validation Study across Europe.” Remote Sensing of Environment 115 (12): 3390–3408. doi:10.1016/j.rse.2011.08.003.
  • Brocca, L., F. Melone, T. Moramarco, W. Wagner, and C. Albergel. 2013. “Scaling and Filtering Approaches for the Use of Satellite Soil Moisture Observations.” In Remote Sensing of Energy Fluxes and Soil Moisture Content, edited by G. P. Petropoulos, 411–425. Boca Raton: CRC Press. doi:10.1201/b15610-21.
  • Brocca, L., F. Melone, T. Moramarco, W. Wagner, and S. Hasenauer. 2010b. “ASCAT Soil Wetness Index Validation through In-Situ and Modeled Soil Moisture Data in Central Italy.” Remote Sensing of Environment 114 (11): 2745–2755. doi:10.1016/j.rse.2010.06.009.
  • Brocca, L., F. Melone, T. Moramarco, W. Wagner, V. Naeimi, Z. Bartalis, and S. Hasenauer. 2010a. “Improving Runoff Prediction through the Assimilation of the ASCAT Soil Moisture Product.” Hydrology and Earth System Sciences 14 (10): 1881–1893. doi:10.5194/hess-14-1881-2010.
  • Ceballos, A., K. Scipal, W. Wagner, and J. Martínez-Fernández. 2005. “Validation of ERS Scatterometer-Derived Soil Moisture Data in the Central Part of the Duero Basin, Spain.” Hydrological Processes 19 (8): 1549–1566. doi:10.1002/hyp.5585.
  • Crow, W. T., and M. J. van den Berg. 2010. “An Improved Approach for Estimating Observation and Model Error Parameters in Soil Moisture Data Assimilation.” Water Resources Research 46 (12): W12519. doi:10.1029/2010WR009402.
  • Das, N. N., and B. P. Mohanty. 2006. “Root Zone Soil Moisture Assessment Using Remote Sensing and Vadose Zone Modeling.” Vadose Zone Journal 5: 296−307. doi:10.2136/vzj2005.0033.
  • Dharssi, I., K. Bovis, B. Macpherson, and C. Jones. 2011. “Operational Assimilation of ASCAT Surface Soil Wetness at the Met Office.” Hydrology and Earth System Sciences 15 (8): 2729–2746. doi:10.5194/hess-15-2729-2011.
  • Dobriyal, P., A. Qureshi, R. Badola, and S. A. Hussain. 2012. “A Review of the Methods Available for Estimating Soil Moisture and Its Implications for Water Resource Management.” Journal of Hydrology 458–459: 110–117. doi:10.1016/j.jhydrol.2012.06.021.
  • Dorigo, W., W. Wagner, R. Hohensinn, S. Hahn, C. Paulik, A. Xaver, A. Gruber, et al. 2011. “The International Soil Moisture Network: A Data Hosting Facility for Global in Situ Soil Moisture Measurements.” Hydrology and Earth System Sciences 15 (5): 1675–1698. doi:10.5194/hess-15-1675-2011.
  • Dorigo, W., A. Xaver, M. Vreugdenhil, A. Gruber, A. Hegyiová, A. Sanchis-Dufau, D. Zamojski, C. Cordes, W. Wagner, and M. Drusch. 2013. “Global Automated Quality Control of In-Situ Soil Moisture Data from the International Soil Moisture Network.” Vadose Zone Journal 12 (3). doi:10.2136/vzj2012.0097.
  • Doubková, M., A. I. J. M. van Dijk, D. Sabel, W. Wagner, and G. Blöschl. 2012. “Evaluation of the Predicted Error of the Soil Moisture Retrieval from C-Band SAR by Comparison against Modelled Soil Moisture Estimates over Australia.” Remote Sensing of Environment 120 (2): 188–196. doi:10.1016/j.rse.2011.09.031.
  • Draper, C., J.-F. Mahfouf, J.-C. Calvet, E. Martin, and W. Wagner. 2011. “Assimilation of ASCAT Near-Surface Soil Moisture into the SIM Hydrological Model over France.” Hydrology and Earth System Sciences 15 (12): 3829–3841. doi:10.5194/hess-15-3829-2011.
  • Draper, C., R. Reichle, R. de Jeu, V. Naeimi, R. Parinussa, and W. Wagner. 2013. “Estimating Root Mean Square Errors in Remotely Sensed Soil Moisture over Continental Scale Domains.” Remote Sensing of Environment 137: 288–298. doi:10.1016/j.rse.2013.06.013.
  • Draper, C., R. Reichle, G. De Lannoy, and Q. Liu. 2012. “Assimilation of Passive and Active Microwave Soil Moisture Retrievals.” Geophysical Research Letters 39 (4): L04401. doi:10.1029/2011GL050655.
  • Entekhabi, D., E. G. Njoku, P. E. O’Neill, K. H. Kellogg, W. T. Crow, W. N. Edelstein, J. K. Entin, et al. 2010a. “The Soil Moisture Active Passive (SMAP) Mission.” Proceedings of the IEEE 98 (5): 704–716. doi:10.1109/JPROC.2010.2043918.
  • Entekhabi, D., R. Reichle, R. Koster, and W. T. Crow. 2010b. “Performance Metrics for Soil Moisture Retrievals and Application Requirements.” Journal of Hydrometeorology 11: 832–840. doi:10.1175/2010JHM1223.1.
  • Figa-Saldaña, J., J. J. W. Wilson, E. Attema, R. Gelsthorpe, M. R. Drinkwater, and A. Stoffelen. 2002. “The Advanced Scatterometer (ASCAT) on the Meteorological Operational (Metop) Platform: A Follow on for European Wind Scatterometers.” Canadian Journal of Remote Sensing 28 (3): 404–412. doi:10.5589/m02-035.
  • Ford, T. W., E. Harris, and S. M. Quiring. 2014. “Estimating Root Zone Soil Moisture Using Near-Surface Observations from SMOS.” Hydrology and Earth System Sciences 18 (1): 139–154. doi:10.5194/hess-18-139-2014.
  • Gruber, A., C.-H. Su, S. Zwieback, W. T. Crow, W. Dorigo, and W. Wagner. 2016. “Recent Advances in (Soil Moisture) Triple Collocation Analysis.” International Journal of Applied Earth Observation and Geoinformation 45: 200–211. doi:10.1016/j.jag.2015.09.002.
  • H-SAF (Satellite Application Facility on Support to Operational Hydrology and Water Management). 2014. “Product User Manual (PUM) for H25/SM-OBS-4 METOP ASCAT Soil Moisture Time Series (Version 0.9).” Accessed February 27 2017. http://hsaf.meteoam.it/documents/PUM/SAF_HSAF_CDOP_PUM_25_0_9.pdf.
  • Jackson, T. J. 1980. “Profile Soil Moisture from Space Measurements.” Journal of Irrigation and Drainage Engineering – ASCE 106: 81–92.
  • Kerr, Y. H., P. Waldteufel, P. Richaume, J.-P. Wigneron, P. Ferrazzoli, A. Mahmoodi, A. Al Bitar, et al. 2012. “The SMOS Soil Moisture Retrieval Algorithm.” IEEE Transactions on Geoscience and Remote Sensing 50 (5): 1384–1403. doi:10.1109/TGRS.2012.2184548.
  • Kornelsen, K. C., and P. Coulibaly. 2013. “Advances in Soil Moisture Retrieval from Synthetic Aperture Radar and Hydrological Applications.” Journal of Hydrology 476: 460–489. doi:10.1016/j.jhydrol.2012.10.044.
  • Kornelsen, K. C., and P. Coulibaly. 2014. “Root-Zone Soil Moisture Estimation Using Data-Driven Methods.” Water Resources Research 50: 2946–2962. doi:10.1002/2013WR014127.
  • Laiolo, P., S. Gabellani, L. Campo, F. Silvestro, F. Delogu, R. Rudari, L. Pulvirenti, et al. 2016. “Impact of Different Satellite Soil Moisture Products on the Predictions of a Continuous Distributed Hydrological Model.” International Journal of Applied Earth Observation and Geoinformation 48: 131–145. doi:10.1016/j.jag.2015.06.002.
  • Mahfouf, J.-F. 2010. “Assimilation of Satellite-Derived Soil Moisture from ASCAT in a Limited-Area NWP Model.” Quarterly Journal of the Royal Meteorological Society 136 (648): 784–798. doi:10.1002/qj.602.
  • Manfreda, S., L. Brocca, T. Moramarco, F. Melone, and J. Sheffield. 2014. “A Physically Based Approach for the Estimation of Root-Zone Soil Moisture from Surface Measurements.” Hydrology and Earth System Sciences 18 (3): 1199–1212. doi:10.5194/hess-18-1199-2014.
  • Montaldo, N., J. D. Albertson, M. Mancini, and G. Kiely. 2001. “Robust Simulation of Root Zone Soil Moisture with Assimilation of Surface Soil Moisture Data.” Water Resources Research 37 (12): 2889–2900. doi:10.1029/2000WR000209.
  • Morbidelli, R., C. Saltalippi, A. Flammini, E. Rossi, and C. Corradini. 2014. “Soil Water Content Vertical Profiles under Natural Conditions: Matching of Experiments and Simulations by a Conceptual Model.” Hydrological Processes 28 (17): 4732–4742. doi:10.1002/hyp.9973.
  • Naeimi, V., C. Paulik, A. Bartsch, W. Wagner, S. Member, R. Kidd, S.-E. Park, K. Elger, and J. Boike. 2012. “ASCAT Surface State Flag (SSF): Extracting Information on Surface Freeze/Thaw Conditions from Backscatter Data Using an Empirical Threshold-Analysis Algorithm.” IEEE Transactions on Geoscience and Remote Sensing 50 (7): 2566–2582. doi:10.1109/TGRS.2011.2177667.
  • Naeimi, V., K. Scipal, Z. Bartalis, S. Hasenauer, and W. Wagner. 2009. “An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations.” IEEE Transactions on Geoscience and Remote Sensing 47 (7): 1999–2013. doi:10.1109/TGRS.2008.2011617.
  • Njoku, E. G., and D. Entekhabi. 1996. “Passive Microwave Remote Sensing of Soil Moisture.” Journal of Hydrology 184 (1–2): 101–129. doi:10.1016/0022-1694(95)02970-2.
  • Ochsner, T. E., M. H. Cosh, R. H. Cuenca, W. Dorigo, C. Draper, Y. Hagimoto, Y. H. Kerr, E. G. Njoku, E. E. Small, and M. Zreda. 2013. “State of the Art in Large-Scale Soil Moisture Monitoring.” Soil Science Society of America Journal 77: 1888–1919. doi:10.2136/sssaj2013.03.0093.
  • Pathe, C., W. Wagner, D. Sabel, M. Doubkova, and J. B. Basara. 2009. “Using ENVISAT ASAR Global Mode Data for Surface Soil Moisture Retrieval over Oklahoma, USA.” IEEE Transactions on Geoscience and Remote Sensing 47 (2): 468–480. doi:10.1109/TGRS.2008.2004711.
  • Paulik, C., W. Dorigo, W. Wagner, and R. Kidd. 2014. “Validation of the ASCAT Soil Water Index Using In-Situ Data from the International Soil Moisture Network.” International Journal of Applied Earth Observation and Geoinformation 30: 1–8. doi:10.1016/j.jag.2014.01.007.
  • Petropoulos, G. P., G. Ireland, and B. Barrett. 2015. “Surface Soil Moisture Retrievals from Remote Sensing: Current Status, Products & Future Trends.” Physics and Chemistry of the Earth, Parts A/B/C 83–84: 36–56. doi:10.1016/j.pce.2015.02.009.
  • Reichle, R., and R. Koster. 2004. “Bias Reduction in Short Records of Satellite Soil Moisture.” Geophysical Research Letters 31 (19): L19501. doi:10.1029/2004GL020938.
  • Robinson, D. A., C. S. Campbell, J. W. Hopmans, B. K. Hornbuckle, S. B. Jones, R. Knight, F. Ogden, J. Selker, and O. Wendroth. 2008. “Soil Moisture Measurement for Ecological and Hydrological Watershed-Scale Observatories: A Review.” Vadose Zone Journal 7: 358–389. doi:10.2136/vzj2007.0143.
  • Saxton, K. E., and W. J. Rawls. 2006. “Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions.” Soil Science Society of America Journal 70: 1569–1578. doi:10.2136/sssaj2005.0117.
  • Scipal, K., M. Drusch, and W. Wagner. 2008. “Assimilation of a ERS Scatterometer Derived Soil Moisture Index in the ECMWF Numerical Weather Prediction System.” Advances in Water Resources 31 (8): 1101–1112. doi:10.1016/j.advwatres.2008.04.013.
  • 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.” Geophysical Research Letters 35 (24): L24403. doi:10.1029/2008GL035599.
  • Srivastava, S. K., N. Yograjan, V. Jayaraman, P. P. Nageswara Rao, and M. G. Chandrasekhar. 1997. “On the Relationship between ERS-1 SAR/backscatter and Surface/Sub-Surface Soil Moisture Variations in Vertisols.” Acta Astronautica 40 (10): 693–699. doi:10.1016/S0094-5765(97)00125-2.
  • Stoffelen, A. 1998. “Toward the True Near-Surface Wind Speed: Error Modeling and Calibration Using Triple Collocation.” Journal of Geophysical Research: Oceans 103 (C4): 7755–7766. doi:10.1029/97JC03180.
  • Stroud, P. D. 1999. “A Recursive Exponential Filter for Time-Sensitive Data.” Los Alamos national Laboratory, LAUR-99-5573. Accessed February 27 2017. public.lanl.gov/stroud/ExpFilter/ExpFilter995573.pdf.
  • Taylor, J. R. 1997. An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements. 2nd ed. Sausalito: University Science Books.
  • Wagner, W., S. Hahn, R. Kidd, T. Melzer, Z. Bartalis, S. Hasenauer, J. Figa-Saldana, et al. 2013. “The ASCAT Soil Moisture Product: A Review of Its Specifications, Validation Results, and Emerging Applications.” Meteorologische Zeitschrift 22 (1): 5–33. doi:10.1127/0941-2948/2013/0399.
  • Wagner, W., G. Lemoine, and H. Rott. 1999. “A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data.” Remote Sensing of Environment 70 (2): 191–207. doi:10.1016/S0034-4257(99)00036-X.
  • Wanders, N., D. Karssenberg, M. Bierkens, R. Parinussa, R. de Jeu, J. van Dam, and S. de Jong. 2012. “Observation Uncertainty of Satellite Soil Moisture Products Determined with Physically-Based Modelling.” Remote Sensing of Environment 127: 341–356. doi:10.1016/j.rse.2012.09.004.
  • Zou, G. Y. 2007. “Toward Using Confidence Intervals to Compare Correlations.” Psychological Methods 12 (4): 399–413. doi:10.1037/1082-989X.12.4.399.

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