Nacionales

Proyectos de Investigación Científica y Tecnológica (2010)
Temas Abiertos – Jóvenes PICT-2010-2060 – FONCYT-MINCYT. (FINALIZADO)

 Resumen : Errors in retrieved soil moisture from satellite systems can originate from a variety of sources within the measurement and retrieval process. In addition to instrument error, three key contributors to retrieval error are the masking of the soil microwave signal by vegetation, the interplay between nonlinear retrieval physics and the relatively poor spatial resolution of space borne sensors, and retrieval parameter uncertainty. Quantification of these errors requires the realistic specification of land surface soil moisture heterogeneity and spatial vegetation patterns. Since detailed soil moisture patterns are currently difficult to obtain from direct observations at regional or global scale, an attractive alternative is the application of an observing system simulation experiment (OSSE) in which simulated land surface states are propagated through the sensor measurement and retrieval process to investigate and constrain expected levels of retrieval error. In this frame, the objective of this Project is to build a prototype OSSE, that is a simulation experiment with a limited geographical scope, but that takes into account the building blocs of an operacional OSSE, suchas a land surface model, a forward microwave model, an orbital propagator, an instrument sensor model and a retrieval model. The implementantion of an OSSE is a key step in the design/validation of a full end to end simulation of a satellite misión. Through the use of the proponed OSSE, it will be posible to investigate the performance and optimization of Argentine satellite missions SAOCOM and SAC-D/Aquarius. The argentine current and future missions need this tool in order to improve their instrument design, beam modes definition and data exploitation.

 Palabras clave:  Observing system simulation experiment, microwave remote sensing, soil moisture, land surface model

Grupo de Trabajo:  Haydee KARSZENBAUM Investigador, Julio César Alberto JACOBO BERLLES Investigador, María Mercedes SALVIA Becario

Fecha de alta 14-04-2010