ASCAT soil moisture: An assessment of the data quality and consistency with the ERS scatterometer heritage

Journal of Hydrometeorology

Volumn 10, Issue 2, 2009, Pages 555-563

  Naeimi, Vahid ^a   Bartalis, Zoltan ^a   Wagner, Wolfgang ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

ASSESSMENT METHOD; CALIBRATION; CORRELATION; DATA QUALITY; ERS-2; LAND COVER; OBSERVATIONAL METHOD; REMOTE SENSING; SATELLITE DATA; SCATTEROMETER; SOIL MOISTURE; WATER CONTENT;

EID: 67649500190     PISSN: 1525755X     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008JHM1051.1     Document Type: Article

References (21)

1. Attema, E. P. W., 1991: The Active Microwave Instrument on-board the ERS-1 satellite. Proc. IEEE, 79, 791-799.
2. Bartalis, Z., K. Scipal, and W. Wagner, 2005: Soil moisture products from C-band scatterometers: From ERS-1/2 to METOP. Proc. Envisat and ERS Symp., Salzburg, Austria, European Space Agency, SP-572, 1417-1423.
3. Bartalis, Z., K. Scipal, and W. Wagner, 2006: Azimuthal anisotropy of scatterometer measurements over land. IEEE Trans. Geosci. Remote Sens., 44, 2083-2092.
4. Bartalis, Z., W. Wagner, V. Naeimi, S. Hasenauer, K. Scipal, H. Bonekamp, J. Figa, and C. Anderson, 2007: Initial soil moisture retrievals from the METOP-A Advanced Scatterometer (ASCAT). Geophys. Res. Lett., 34, L20401, doi:10.1029/2007GL031088.
5. Ceballos, A., K. Scipal, W. Wagner, and Ji Martinez-Fernandez, 2005: Validation of ERS scatterometer-derived soil moisture data in the central part of the Duero Basin, Spain. Hydrol. Processes, 19, 1549-1566.
6. Climate Prediction Center, cited 2007: Global summary of day/month observations, 1979-continuing (ds512.0). [Available online at http://dss.ucar.edu/datasets/ds512.0/.]
7. Crapolicchio, R., G. De Chiara, A. Paciucci, and P. Lecomte, 2007: The ERS-2 scatterometer: Instrument and data performances assessment since the beginning of the mission. Proc. Envisat Symp., Montreaux, Switzerland, European Space Agency, SP-636.
8. Dirmeyer, P. A., Z. Guo, and X. Gao, 2004: Comparison, validation, and transferability of eight multiyear global soil wetness products. J. Hydrometeor., 5, 1011.
9. Early, D. S., and D. G. Long, 1997: Azimuth modulation of C-band scatterometer sigma-0 over southern ocean sea ice. IEEE Trans. Geosci. Remote Sens., 35, 1201-1209.
10. 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. Can. J. Remote Sens., 28, 404-412.
11. Fontaine, B., S. Louvet, and P. Roucou, 2007: Fluctuations in annual cycles and inter-seasonal memory in West Africa: Rainfall, soil moisture and heat fluxes. Theor. Appl. Climatol., 88, 57-70.
12. Gelsthorpe, A. R., E. Schied, and J. J. W. Wilson, 2000: ASCAT - Metop's advanced scatterometer. ESA Bull., 102, 19-27.
13. Naeimi, V., C. Kuenzer, S. Hasenauer, Z. Bartalis, and W. Wagner, 2007: Evaluation of the influence of land cover on the noise level of ERS-scatterometer backscatter. Proc. IGARSS 2007, Barcelona, Spain, IEEE, 3685-3688.
14. Nolin, A. W., R. L. Armstrong, and J. Maslanik, 1998: Near real-time SSM/ I EASE-Grid daily global ice concentration and snow extent. National Snow and Ice Data Center, Boulder, CO, digital media. [Available online at http://nsidc.org/data/docs/daac/nise1_nise.gd.html.]
15. Pellarin, T., J. C. Calvet, and W. Wagner, 2006: Evaluation of ERS scatteromoter soil moisture products over a half-degree region in southwestern France. Geophys. Res. Lett., 33, L17401, doi:10.1029/2006GL027231.
16. Scipal, K., 2002: Global soil moisture monitoring retrieval from ERS scatterometer data. Ph.D. dissertation, Institute for Photogrammetry and Remote Sensing, Vienna University of Technology, 128 pp.
17. Scipal, K., C. Scheffler, and W. Wagner, 2005: Soil moisture-runoff relation at the catchment scale as observed with coarse resolution microwave remote sensing. Hydrol. Earth Syst. Sci., 9, 173-183.
18. USGS, cited 1999: Global land cover characterization database. [Available online at http://edcsns17.cr.usgs.gov/glcc/.]
19. Wagner, W., 1998: Soil moisture retrieval from ERS scatterometer data. Ph.D. dissertation, Institute for Photogrammetry and Remote Sensing, Vienna University of Technology, 111 pp.
20. Wagner, W., G. Lemoine, and H. Rott, 1999: A method for estimating soil moisture from ERS scatterometer and soil data. Remote Sens. Environ., 70, 191-207.
21. Wagner, W., K. Scipal, C. Pathe, D. Gerten, W. Lucht, and B. Rudolf, 2003: Evaluation of the agreement between the first global remotely sensed soil moisture data with model and precipitation data. J. Geophys. Res., 108, 4611, doi:.10.1029/2003JD003663.