An observing system simulation experiment for the aquarius/SAC-D soil moisture product
An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D mission has been developed for assessing the accuracy of soil moisture retrievals from passive L-band remote sensing. The implementation of the OSSE is based on the following: a 1-km land surface model over the Red-Arkansas Rive...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_01962892_v52_n10_p6086_Bruscantini |
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todo:paper_01962892_v52_n10_p6086_Bruscantini2023-10-03T15:09:43Z An observing system simulation experiment for the aquarius/SAC-D soil moisture product Bruscantini, C.A. Crow, W.T. Grings, F. Perna, P. Maas, M. Karszenbaum, H. Aquarius Observing System Simulation Experiment (OSSE) Soil moisture Error analysis Experiments Remote sensing AQUARIUS Microwave emission models Observing system simulation experiments Quantitative error analysis Soil moisture retrievals Surface soil moisture retrieval Vegetation water contents (VWC) Volumetric soil moistures Soil moisture accuracy assessment Aquarius data assimilation error analysis microwave radiation numerical model radiative transfer radiometer satellite mission soil moisture vegetation cover water content Arkansas Basin Red Basin [United States] United States An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D mission has been developed for assessing the accuracy of soil moisture retrievals from passive L-band remote sensing. The implementation of the OSSE is based on the following: a 1-km land surface model over the Red-Arkansas River Basin, a forward microwave emission model to simulate the radiometer observations, a realistic orbital and sensor model to resample the measurements mimicking Aquarius operation, and an inverse soil moisture retrieval model. The simulation implements a zero-order radiative transfer model. Retrieval is performed by direct inversion of the forward model. The Aquarius OSSE attempts to capture the influence of various error sources, such as land surface heterogeneity, instrument noise, and retrieval ancillary parameter uncertainty, all on the accuracy of Aquarius surface soil moisture retrievals. In order to assess the impact of these error sources on the estimated volumetric soil moisture, a quantitative error analysis is performed by comparison of footprint-scale synthetic soil moisture with 'true' soil moisture fields obtained from the direct aggregation of the original 1-km soil moisture field input to the forward model. Results show that, in heavily vegetated areas, soil moisture retrievals have a positive bias that can be suppressed with an alternative aggregation strategy for ancillary parameter vegetation water content (VWC). Retrieval accuracy was also evaluated when adding errors to 1-km VWC (which are intended to account for errors in VWC derived from remote sensing data). For soil moisture retrieval root-mean-square error on the order of 0.05 m3/m3, the error in VWC should be less than 12%. © 1980-2012 IEEE. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_01962892_v52_n10_p6086_Bruscantini |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Aquarius Observing System Simulation Experiment (OSSE) Soil moisture Error analysis Experiments Remote sensing AQUARIUS Microwave emission models Observing system simulation experiments Quantitative error analysis Soil moisture retrievals Surface soil moisture retrieval Vegetation water contents (VWC) Volumetric soil moistures Soil moisture accuracy assessment Aquarius data assimilation error analysis microwave radiation numerical model radiative transfer radiometer satellite mission soil moisture vegetation cover water content Arkansas Basin Red Basin [United States] United States |
| spellingShingle |
Aquarius Observing System Simulation Experiment (OSSE) Soil moisture Error analysis Experiments Remote sensing AQUARIUS Microwave emission models Observing system simulation experiments Quantitative error analysis Soil moisture retrievals Surface soil moisture retrieval Vegetation water contents (VWC) Volumetric soil moistures Soil moisture accuracy assessment Aquarius data assimilation error analysis microwave radiation numerical model radiative transfer radiometer satellite mission soil moisture vegetation cover water content Arkansas Basin Red Basin [United States] United States Bruscantini, C.A. Crow, W.T. Grings, F. Perna, P. Maas, M. Karszenbaum, H. An observing system simulation experiment for the aquarius/SAC-D soil moisture product |
| topic_facet |
Aquarius Observing System Simulation Experiment (OSSE) Soil moisture Error analysis Experiments Remote sensing AQUARIUS Microwave emission models Observing system simulation experiments Quantitative error analysis Soil moisture retrievals Surface soil moisture retrieval Vegetation water contents (VWC) Volumetric soil moistures Soil moisture accuracy assessment Aquarius data assimilation error analysis microwave radiation numerical model radiative transfer radiometer satellite mission soil moisture vegetation cover water content Arkansas Basin Red Basin [United States] United States |
| description |
An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D mission has been developed for assessing the accuracy of soil moisture retrievals from passive L-band remote sensing. The implementation of the OSSE is based on the following: a 1-km land surface model over the Red-Arkansas River Basin, a forward microwave emission model to simulate the radiometer observations, a realistic orbital and sensor model to resample the measurements mimicking Aquarius operation, and an inverse soil moisture retrieval model. The simulation implements a zero-order radiative transfer model. Retrieval is performed by direct inversion of the forward model. The Aquarius OSSE attempts to capture the influence of various error sources, such as land surface heterogeneity, instrument noise, and retrieval ancillary parameter uncertainty, all on the accuracy of Aquarius surface soil moisture retrievals. In order to assess the impact of these error sources on the estimated volumetric soil moisture, a quantitative error analysis is performed by comparison of footprint-scale synthetic soil moisture with 'true' soil moisture fields obtained from the direct aggregation of the original 1-km soil moisture field input to the forward model. Results show that, in heavily vegetated areas, soil moisture retrievals have a positive bias that can be suppressed with an alternative aggregation strategy for ancillary parameter vegetation water content (VWC). Retrieval accuracy was also evaluated when adding errors to 1-km VWC (which are intended to account for errors in VWC derived from remote sensing data). For soil moisture retrieval root-mean-square error on the order of 0.05 m3/m3, the error in VWC should be less than 12%. © 1980-2012 IEEE. |
| format |
JOUR |
| author |
Bruscantini, C.A. Crow, W.T. Grings, F. Perna, P. Maas, M. Karszenbaum, H. |
| author_facet |
Bruscantini, C.A. Crow, W.T. Grings, F. Perna, P. Maas, M. Karszenbaum, H. |
| author_sort |
Bruscantini, C.A. |
| title |
An observing system simulation experiment for the aquarius/SAC-D soil moisture product |
| title_short |
An observing system simulation experiment for the aquarius/SAC-D soil moisture product |
| title_full |
An observing system simulation experiment for the aquarius/SAC-D soil moisture product |
| title_fullStr |
An observing system simulation experiment for the aquarius/SAC-D soil moisture product |
| title_full_unstemmed |
An observing system simulation experiment for the aquarius/SAC-D soil moisture product |
| title_sort |
observing system simulation experiment for the aquarius/sac-d soil moisture product |
| url |
http://hdl.handle.net/20.500.12110/paper_01962892_v52_n10_p6086_Bruscantini |
| work_keys_str_mv |
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