Similarities and Differences in the Earth’s Water Variations Signal Provided by Grace and AMSR-E Observations Using Maximum Covariance Analysis at Various Land Cover Data Backgrounds
Author:
Szabó Viktor1, Osińska-Skotak Katarzyna1
Affiliation:
1. Warsaw University of Technology, Faculty of Geodesy and Cartography , Warsaw , Poland
Abstract
ABSTRACT
The study presents a compatibility analysis of gravimetric observations with passive microwave observations. Monitoring the variability of soil water content is one of the essential issues in climate-related research. Total water storage changes (ΔTWS) observed by Gravity Recovery and Climate Experiment (GRACE), enables the creation of many applications in hydrological monitoring. Soil moisture (SM) is a critical variable in hydrological studies. Advanced Microwave Scanning Radiometer (AMSR-E) satellite products provided unique observations on this variable in near-daily time resolutions. The study used maximum covariance analysis (MCA) to extract principal components for ΔTWS and SM signals. The analysis was carried out for the global area, dividing the discussion into individual continents. The amplitudes of gravimetric and microwave signals were computed via the complex empirical orthogonal function (EOF) and the complex conjugate EOF* to determine the regions for detailed comparison. Similarities and differences in signal convergence results were compared with land cover data describing soil conditions, vegetation cover, urbanization status, and cultivated land. Convergence was determined using Pearson correlation coefficients and cross-correlation. In order to compare ΔTWS and SM in individual seasons, ΔTWS observations were normalized. Results show that naturally forested areas and large open spaces used for agriculture support the compatibility between GRACE and AMSRE observations and are characterized by a good Pearson correlation coefficient >0.8. Subpolar regions with permafrost present constraints for AMSR-E observations and have little convergence with GRACE observations.
Publisher
Walter de Gruyter GmbH
Reference113 articles.
1. Abelen, S. and Seitz, F. (2013). Relating satellite gravimetry data to global soil moisture products via data harmonization and correlation analysis. Remote Sensing of Environment, 136:89–98. 2. Abelen, S., Seitz, F., Abarca-del Rio, R., and Güntner, A. (2015). Droughts and floods in the la plata basin in soil moisture data and grace. Remote Sensing, 7(6):7324–7349. 3. Abelen, S., Seitz, F., Schmidt, M., and Güntner, A. (2011). Analysis of regional variations in soil moisture by means of remote sensing, satellite gravimetry and hydrological modelling. GRACE, Remote Sensing and Ground-Based Methods in Multi-Scale Hydrology, IAHS Red Book Series, (343):9–15. 4. Ahmed, M., Sultan, M., Wahr, J., and Yan, E. (2014). The use of grace data to monitor natural and anthropogenic induced variations in water availability across africa. Earth-Science Reviews, 136:289–300. 5. Babaeian, E., Sadeghi, M., Jones, S. B., Montzka, C., Vereecken, H., and Tuller, M. (2019). Ground, proximal, and satellite remote sensing of soil moisture. Reviews of Geophysics, 57(2):530–616.
|
|