An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product

An Observing System Simulation Experiment for the Aquarius/SAC-D mission is being developed for assessing the accuracy of soil moisture retrieval from passive and active L-band remote sensing. The implementation of the OSSE is based on: a 1-km land surface model over the Red-Arkansas River Basin, a...

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Detalles Bibliográficos
Autores principales: Bruscantini, Cintia Alicia, Grings, Francisco Matías, Perna, Pablo Alejandro, Karszenbaum, Haydee
Publicado: 2012
Materias:
Aquarius
Observing System Simulation Experiment
soil moisture
AQUARIUS
Backscatter model
Direct inversion
Error sources
High spatial resolution
Instrument noise
Land surface
Land surface models
Microwave emission models
Observing system simulation experiments
Parameter uncertainty
Quantitative error analysis
Radiative transfer model
Resamples
River basins
Root mean squared errors
Scatterometers
Sensor model
Soil moisture retrievals
Volumetric soil moistures
Backscattering
Computer simulation
Error analysis
Experiments
Meteorological instruments
Microwaves
Remote sensing
Soil moisture
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814673_v_n_p_Bruscantini
http://hdl.handle.net/20.500.12110/paper_97814673_v_n_p_Bruscantini
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_97814673_v_n_p_Bruscantini
record_format dspace
spelling paper:paper_97814673_v_n_p_Bruscantini2023-06-08T16:37:40Z An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product Bruscantini, Cintia Alicia Grings, Francisco Matías Perna, Pablo Alejandro Karszenbaum, Haydee Aquarius Observing System Simulation Experiment soil moisture AQUARIUS Backscatter model Direct inversion Error sources High spatial resolution Instrument noise Land surface Land surface models Microwave emission models Observing system simulation experiments Parameter uncertainty Quantitative error analysis Radiative transfer model Resamples River basins Root mean squared errors Scatterometers Sensor model Soil moisture retrievals Volumetric soil moistures Backscattering Computer simulation Error analysis Experiments Meteorological instruments Microwaves Remote sensing Soil moisture An Observing System Simulation Experiment for the Aquarius/SAC-D mission is being developed for assessing the accuracy of soil moisture retrieval from passive and active L-band remote sensing. The implementation of the OSSE is based on: a 1-km land surface model over the Red-Arkansas River Basin, a backscatter model and a forward microwave emission model to simulate the radiometer and scatterometer observations, a realistic orbital and sensor model to resample the measurements, and an inverse soil moisture retrieval model. The simulation implements zero-order radiative transfer model for emission and Dubois model for backscattering. Retrieval is done by direct inversion. The Aquarius OSSE attempts to capture the influence of different error sources: land surface heterogeneity, instrument noise and retrieval ancillary parameter uncertainty. In order to assess the impact of these error sources on the estimated volumetric soil moisture, a quantitative error analysis is performed through the comparison between of footprint-scale synthetic soil moisture product and high spatial resolution degraded at coarse resolution true soil moisture product. The root mean squared errors are evaluated for all the conditions. © 2012 IEEE. Fil:Bruscantini, C.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Grings, F.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Perna, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Karszenbaum, H. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814673_v_n_p_Bruscantini http://hdl.handle.net/20.500.12110/paper_97814673_v_n_p_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
soil moisture
AQUARIUS
Backscatter model
Direct inversion
Error sources
High spatial resolution
Instrument noise
Land surface
Land surface models
Microwave emission models
Observing system simulation experiments
Parameter uncertainty
Quantitative error analysis
Radiative transfer model
Resamples
River basins
Root mean squared errors
Scatterometers
Sensor model
Soil moisture retrievals
Volumetric soil moistures
Backscattering
Computer simulation
Error analysis
Experiments
Meteorological instruments
Microwaves
Remote sensing
Soil moisture
spellingShingle Aquarius
Observing System Simulation Experiment
soil moisture
AQUARIUS
Backscatter model
Direct inversion
Error sources
High spatial resolution
Instrument noise
Land surface
Land surface models
Microwave emission models
Observing system simulation experiments
Parameter uncertainty
Quantitative error analysis
Radiative transfer model
Resamples
River basins
Root mean squared errors
Scatterometers
Sensor model
Soil moisture retrievals
Volumetric soil moistures
Backscattering
Computer simulation
Error analysis
Experiments
Meteorological instruments
Microwaves
Remote sensing
Soil moisture
Bruscantini, Cintia Alicia
Grings, Francisco Matías
Perna, Pablo Alejandro
Karszenbaum, Haydee
An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product
topic_facet Aquarius
Observing System Simulation Experiment
soil moisture
AQUARIUS
Backscatter model
Direct inversion
Error sources
High spatial resolution
Instrument noise
Land surface
Land surface models
Microwave emission models
Observing system simulation experiments
Parameter uncertainty
Quantitative error analysis
Radiative transfer model
Resamples
River basins
Root mean squared errors
Scatterometers
Sensor model
Soil moisture retrievals
Volumetric soil moistures
Backscattering
Computer simulation
Error analysis
Experiments
Meteorological instruments
Microwaves
Remote sensing
Soil moisture
description An Observing System Simulation Experiment for the Aquarius/SAC-D mission is being developed for assessing the accuracy of soil moisture retrieval from passive and active L-band remote sensing. The implementation of the OSSE is based on: a 1-km land surface model over the Red-Arkansas River Basin, a backscatter model and a forward microwave emission model to simulate the radiometer and scatterometer observations, a realistic orbital and sensor model to resample the measurements, and an inverse soil moisture retrieval model. The simulation implements zero-order radiative transfer model for emission and Dubois model for backscattering. Retrieval is done by direct inversion. The Aquarius OSSE attempts to capture the influence of different error sources: land surface heterogeneity, instrument noise and retrieval ancillary parameter uncertainty. In order to assess the impact of these error sources on the estimated volumetric soil moisture, a quantitative error analysis is performed through the comparison between of footprint-scale synthetic soil moisture product and high spatial resolution degraded at coarse resolution true soil moisture product. The root mean squared errors are evaluated for all the conditions. © 2012 IEEE.
author Bruscantini, Cintia Alicia
Grings, Francisco Matías
Perna, Pablo Alejandro
Karszenbaum, Haydee
author_facet Bruscantini, Cintia Alicia
Grings, Francisco Matías
Perna, Pablo Alejandro
Karszenbaum, Haydee
author_sort Bruscantini, Cintia Alicia
title An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product
title_short An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product
title_full An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product
title_fullStr An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product
title_full_unstemmed An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product
title_sort observing system simulation experiment (osse) for the aquarius/sac-d soil moisture product
publishDate 2012
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814673_v_n_p_Bruscantini
http://hdl.handle.net/20.500.12110/paper_97814673_v_n_p_Bruscantini
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