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Observing System Simulation Experiment for Global Precipitation Mission
Pure and Applied Geophysics, 2011From the suite of future Global Precipitation Mission (GPM) satellites we have selected 11 of the possible contributors to the NASA’s International precipitation measurement program. The Observing System Simulation Experiments (OSSE) presented here explores the predictive usefulness of this suite of satellites.
A. K. Mishra, T. N. Krishnamurti
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Observing system simulation experiments in geomagnetic data assimilation
Journal of Geophysical Research: Solid Earth, 2007Observing System Simulation Experiments (OSSEs) have been carried out for a geomagnetic data assimilation system. The purpose of these experiments is to demonstrate how new algorithms for assimilating geomagnetic observations into a geodynamo model can be evaluated. A “nature” run is carried out to establish a “true” evolution of the Earth's core state,
Don Liu, Andrew Tangborn, Weijia Kuang
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Rocketsonde buoy system : observing system simulation experiments
2009The research presented here provides measurements of the negative impact of the Pacific and Arctic data voids on numerical weather predictability downstream over North America, and the extent to which the detrimental effects can be mitigated with rocket soundings from anchored buoys within the Rocketsonde Buoy System (RBS).
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Observing System Simulation Experiments; justifying new Arctic observation capabilities.
2020Non ...
Masutani, Michiko +14 more
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Observing-Systems Simulation Experiments: Past, Present, and Future
Bulletin of the American Meteorological Society, 1986Abstract A summary of the history of observing-systems simulation experiments (OSSEs) is presented together with a description of current methodology, its capabilities and limitations, and considerations for the design of future experiments. These experiments are defined as a type of sensitivity study and are contrasted with real-data experiments ...
Charles P. Arnold, Clifford H. Dey
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Marine Technology Society Journal, 2015
AbstractObserving System Simulation Experiments (OSSEs) are an important tool for evaluating the potential impact of new or proposed observing systems, as well as for evaluating trade-offs in observing system design, and in developing and assessing improved methodology for assimilating new observations.
Robert Atlas +4 more
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AbstractObserving System Simulation Experiments (OSSEs) are an important tool for evaluating the potential impact of new or proposed observing systems, as well as for evaluating trade-offs in observing system design, and in developing and assessing improved methodology for assimilating new observations.
Robert Atlas +4 more
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The Accuracy of Trajectory Models as Revealed by the Observing System Simulation Experiments
Monthly Weather Review, 1985Abstract Fourteen observing system simulation experiments (OSSE) wore conducted using the results from a mesoscale model on the Oxidation and Scavenging Characteristics of April Rains(OSCAR) experiment to test the accuracy of trajectory models. Our results indicate that the current synoptic network and observational frequency over North America are ...
Ying-Hwa Kuo +3 more
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Observing System Simulation Experiments Today and Tomorrow
Bulletin of the American Meteorological Society, 2021Xubin Zeng +13 more
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The Biodiversity Observing System Simulation Experiment (BOSSE) v1.
The Observing System Simulation Experiments are simulation tools that support the development, benchmarking, and evaluation of remote sensing missions and methods. The study of biodiversity, from remote sensing, and particularly that of plant diversity,  is an emerging topic with potentially beneficial outcomes for global-scale monitoring and ...Javier Pacheco-Labrador +7 more
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Global Observing System Simulation Experiments of the Ionosphere, Thermosphere and Plasmasphere
2013Abstract : The overall goal of this project was to set up a simulation framework and testbed for ionosphere-thermosphere (IT) data assimilation that could be used to investigate: a) the impact of sensor systems upon the performance of data assimilation algorithms; b) the impact of improvements in data assimilative algorithms upon the performance of ...
Gary Bust, Lars Dyrud
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