Showing 1-20 of 20 resultsfor "Index Terms":observing system simulation experiment (OSSE)
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An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product
C. A. Bruscantini;F. M. Grings;P. Perna;H. Karszenbaum;W. T. Crow;J. C. A. Jacobo
2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)
Year: 2012 | Conference Paper |
Cited by: Papers (3)
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 scatte...Show More
An Observing System Simulation Experiment for the Aquarius/SAC-D Soil Moisture Product
Cintia A. Bruscantini;Wade T. Crow;Francisco Grings;Pablo Perna;Martin Maas;Haydee Karszenbaum
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 r...Show More
An OSSE Study on Wind Profiler Radar Observing Layout over China
2019 International Conference on Meteorology Observations (ICMO)
Year: 2019 | Conference Paper |
In recent years, wind profiler radar observation technology has developed rapidly, and its detection data has high temporal and spatial resolution. The observing wind field information plays an important role in the small or meso scale weather system analysis and numerical weather prediction. This study aimed to explore the wind profiler radar observing layout over China form the perspective of nu...Show More
An Observing System Simulation Experiment (OSSE) in Deriving Suspended Sediment Concentrations in the Ocean From MTG/FCI Satellite Sensor
Frédéric Jourdin;Pannimpullath Remanan Renosh;Anastase Alexander Charantonis;Nicolas Guillou;Sylvie Thiria;Fouad Badran;Thierry Garlan
The capacity to monitor suspended sediment concentrations (SSCs) in the ocean, from surface to bottom, using data acquired by the future Meteosat Third-Generation (MTG)/flexible combined imager (FCI) satellite sensor has been quantified by observing system simulation experiments (OSSEs). The “true” ocean state for these experiments is based on a 15-month numerical simulation of hydrodynamic and se...Show More
OSSEs on the FY-4M Geostationary Microwave Satellite Based on CMA-GFS and CMA-MESO
Geostationary orbit (GEO) microwave sounding technology, which can continuously monitor Earth and intensively observe weather conditions such as strong convection, has unique advantages. An observing system simulation experiment (OSSE) is an important means to evaluate new meteorological instruments and explore assimilation techniques for new observations. In this article, an OSSE base...Show More
Data-Driven Spatio-Temporal Interpolation of Sea Surface Sediment Concentration from Satellite-Derived Data: An OSSE Case-Study in the Bay of Biscay
J-M. Vient;F. Jourdin;R. Fablet;B. Mengual;L. Lafosse;C. Delacourt
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
Year: 2021 | Conference Paper |
Cited by: Papers (1)
Due to complex natural and anthropogenic forcings, the dynamics of suspended sediments within the ocean water column remains difficult to monitor. Nowadays however, more and more available information is coming from in situ and satellite measurements, as well as from simulation models. Data assimilation methods propose to combine all this information to produce the most precise results, allowing b...Show More
Implication of Errors in Space-Based Sea Surface Salinity Measurement on Ocean State Estimation: An Observing System Simulation Experiment for the Tropical Indian Ocean
Smitha Ratheesh;M. Jishad;Vivek V. Rajiv;Neerja Sharma;Neeraj Agarwal;Rashmi Sharma
This study investigates the permissible error limits in satellite-derived sea surface salinity (SSS) through Observing System Simulation Experiments (OSSEs). The OSSEs were conducted in the Indian Ocean, using a data-assimilative oceanic general circulation model with error in satellite-derived SSS ranging from 0.2 to 1.0 psu for the year 2014. Comparison with Argo SSS revealed a remarkable 31% im...Show More
Observing System Simulation Experiment for Remote Sensing of Snow at P-Band
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
Year: 2020 | Conference Paper |
Recently, the Signal of Opportunity (SoOp) has been used in monitoring the snow pack from P-band. This technology makes use of existing satellite transmissions and become a cost-effective alternative to existing active technologies. The theoretical principle is based on the phase change of the reflected P-band signal to change in SWE. The P-band radio signals come from geostationary Mobile Use Obj...Show More
Review of Observing System Simulation Experiments to evaluate the potential impact of lidar winds on weather prediction
2010 IEEE International Geoscience and Remote Sensing Symposium
Year: 2010 | Conference Paper |
Cited by: Papers (1)
Observing System Simulation Experiments (OSSEs) are an important tool for evaluating the potential impact of proposed new observing systems, as well as for evaluating trade-offs in observing system design, and in developing and assessing improved methodology for assimilating new observations. Extensive OSSEs have been conducted at NASA/GSFC and NOAA/AOML in collaboration with Simpson Weather Assoc...Show More
Interfacing an ensemble Data Assimilation system with a 3D nonhydrostatic Coastal Ocean Model, an OSSE experiment
Mariangel Garcia;Timothy Hoar;Mary Thomas;Barbara Bailey;Jose Castillo
This paper presents the integration of a data assimilation framework and a nonhydrostatic coastal ocean model for the study of turbulent processes and state variables. Interfacing our General Curvilinear Coastal Ocean Model (GCCOM) with NCAR's Data Assimilation Research Testbed (DART), enable the integration of very high-resolution observations into the system. These results included observation s...Show More
Effect of Forward/Inverse Model Asymmetries Over Retrieved Soil Moisture Assessed With an OSSE for the Aquarius/SAC-D Mission
Cintia A. Bruscantini;Pablo Perna;Paolo Ferrazzoli;Francisco Grings;Haydee Karszenbaum;Wade T. Crow
An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D mission that includes different models for forward and retrieval processes is presented. This OSSE is implemented to study the errors related to the use of simple retrieval models in passive microwave applications. To this end, a theoretical forward model was introduced, which is suitable to reproduce some of the c...Show More
Conceptual Case for Assimilating Interferometric Synthetic Aperture Radar Data Into the HAZUS-MH Earthquake Module
David M. Tralli;Ronald G. Blom;Eric J. Fielding;Andrea Donnellan;Diane L. Evans
The study of the Earth as a system is being adopted widely by geoscientists. Numerical models and simulations are providing the capability to rapidly test hypotheses and make forecasts of complex geophysical behavior. International efforts are seeking to integrate existing and emerging Earth observation systems into a global network, with enhanced data distribution, models, and decision support to...Show More
An observing system simulation experiment for hydros radiometer-only soil moisture products
W.T. Crow;S.T.K. Chan;D. Entekhabi;P.R. Houser;A.Y. Hsu;T.J. Jackson;E.G. Njoku;P.E. O'Neill;Jiancheng Shi;Xiwu Zhan
Based on 1-km land surface model geophysical predictions within the United States Southern Great Plains (Red-Arkansas River basin), an observing system simulation experiment (OSSE) is carried out to assess the impact of land surface heterogeneity, instrument error, and parameter uncertainty on soil moisture products derived from the National Aeronautics and Space Administration Hydrosphere S...Show More
Observing System Simulation Experiment on The Accuracy of Global Satellite Mapping of Precipitation (GSMAP) by Future Small Precipitation Radar Constellation
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
Year: 2019 | Conference Paper |
Cited by: Papers (3)
As one of the future precipitation observation missions discussed in Japan Aerospace Exploration Agency (JAXA), there is a concept of small spaceborne precipitation radar constellation in the Tropics. This can improve a quality of the multi-satellite precipitation product called Global Satellite Mapping of Precipitation (GSMaP) developed by the JAXA under the Global Precipitation Measurement (GPM)...Show More
Extending OSSE beyond numerical weather prediction to new areas in Earth observing science
Charles D. Norton;Annmarie Eldering;Michael Turmon;Jay Parker
2009 IEEE Aerospace conference
Year: 2009 | Conference Paper |
An observing system simulation experiment (OSSE), briefly stated, is a computational system designed to quantitatively assess the impact of proposed scientific observations. OSSEs allow one to examine how well specific science objectives can be met within a controlled environment where one can simulate the quality of data expected based on observation characteristics, instrument parameters, ...Show More
A Machine Learning-Based Bias Correction Scheme for the All-Sky Assimilation of AGRI Infrared Radiances in a Regional OSSE Framework
Xuewei Zhang;Dongmei Xu;Jinzhong Min;Hong Li;Feifei Shen;Yonghui Lei
Most bias correction (BC) schemes based on a linear fitting function have undesirable effects on the all-sky assimilation of satellite radiances from infrared bands. This study introduces a newly nonlinear BC method for the all-sky assimilation of Fengyun-4A (FY-4A) Advanced Geosynchronous Radiation Imager (AGRI) infrared radiances. The proposed BC method uses a machine learning technology of rand...Show More
The Added Value of a Proposed Satellite Imager for Ground Level Particulate Matter Analyses and Forecasts
Renske M. A. Timmermans;Arjo J. Segers;Peter J. H. Builtjes;Robert Vautard;Richard Siddans;Hendrik Elbern;Stephen A. T. Tjemkes;Martijn Schaap
Monitoring aerosols over wide areas is important for the assessment of the population's exposure to health relevant particulate matter (PM). Satellite observations of aerosol optical depth (AOD) can contribute to the improvement of highly needed analyzed and forecasted distributions of PM when combined with a model and ground-based observations. In this paper, we evaluate the contribution of colum...Show More
A Geostationary Microwave Sounder: Design, Implementation and Performance
Bjorn Lambrigtsen;Pekka Kangaslahti;Oliver Montes;Noppasin Niamsuwan;Derek Posselt;Jacola Roman;Mathias Schreier;Alan Tanner;Longtao Wu;Igor Yanovsky
A geostationary microwave sounder, capable of providing continuous monitoring of temperature, water vapor, clouds, precipitation, and wind in the presence of clouds and precipitation is now feasible. A design called the Geostationary Synthetic Thinned Aperture Radiometer (GeoSTAR) has been developed at the Jet Propulsion Laboratory, and the required new technology has been developed and is suffici...Show More
Improving Mesoscale Altimetric Data From a Multitracer Convolutional Processing of Standard Satellite-Derived Products
Ronan Fablet;Jacques Verron;Baptiste Mourre;Bertrand Chapron;Ananda Pascual
Multisatellite measurements of altimeter-derived sea surface height (SSH) have provided a wealth of information on the ocean. Yet, horizontal scales below 100 km remain scarcely resolved. Especially, in the Mediterranean Sea, an important fraction of the mesoscale range, characterized by a small Rossby radius of deformation of 15-20 km, is not properly retrieved by altimeter-derived gridded produc...Show More
A method for retrieving high-resolution surface soil moisture from hydros L-band radiometer and Radar observations
NASA's Earth System Science Pathfinder Hydrospheric States (Hydros) mission will provide the first global scale space-borne observations of Earth's soil moisture using both L-band microwave radiometer and radar technologies. In preparation for the Hydros mission, an observation system simulation experiment (OSSE) has been conducted. As a part of this OSSE, the potential for retrieving ...Show More
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