Observing System Simulation Experiments for the assessment of temperature sampling strategies in the Mediterranean Sea [PDF]
Annales Geophysicae, 2003 For the first time in the Mediterranean Sea various temperature sampling strategies are studied and compared to each other by means of the Observing System Simulation Experiment technique.
F. Raicich, A. Rampazzo
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Pan-spectral observing system simulation experiments of shortwave reflectance and long-wave radiance for climate model evaluation [PDF]
Geoscientific Model Development, 2015 Top-of-atmosphere (TOA) spectrally resolved shortwave reflectances and long-wave radiances describe the response of the Earth's surface and atmosphere to feedback processes and human-induced forcings.
D. R. Feldman +2 more
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Improving quantitative precipitation nowcasting with a local ensemble transform Kalman filter radar data assimilation system: observing system simulation experiments [PDF]
Tellus: Series A, Dynamic Meteorology and Oceanography, 2014 This study develops a Doppler radar data assimilation system, which couples the local ensemble transform Kalman filter with the Weather Research and Forecasting model.
Chih-Chien Tsai +2 more
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Frontiers in Marine Science, 2023 The new Surface Water and Ocean Topography (SWOT) satellite mission aims to provide sea surface height (SSH) measurements in two dimensions along a wide-swath altimeter track with an expected effective resolution down to 15–30 km.
Bàrbara Barceló-Llull, Ananda Pascual
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Future Observing System Simulation Experiments
Bulletin of the American Meteorological Society, 2016 Abstract As operational forecast and data assimilation (DA) systems evolve, observing system simulation experiment (OSSE) systems must evolve in parallel. Expected development of operational systems—especially the use of data that are currently not used or are just beginning to be used, such as all-sky and surface-affected microwave ...
Ross N. Hoffman, Robert Atlas
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Observation system simulation experiments for a global wind observing sounder [PDF]
Geophysical Research Letters, 2012 Observing System Simulation Experiments (OSSEs) are a powerful tool used to assess the potential impact on numerical weather prediction skill of planned or hypothetical future observing systems. Over the past several years an international Joint OSSE collaboration has emerged centered on the use of NASA's and NOAA's data assimilation systems.
Lars Peter Riishojgaard +6 more
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Use of Observing System Simulation Experiments in the United States [PDF]
Bulletin of the American Meteorological Society, 2020 AbstractThe NOAA Science Advisory Board appointed a task force to prepare a white paper on the use of observing system simulation experiments (OSSEs). Considering the importance and timeliness of this topic and based on this white paper, here we briefly review the use of OSSEs in the United States, discuss their values and limitations, and develop five
Zeng, Xubin +13 more
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The SPRINTARS version 3.80/4D-Var data assimilation system: development and inversion experiments based on the observing system simulation experiment framework [PDF]
Geoscientific Model Development, 2013 We present an aerosol data assimilation system based on a global aerosol climate model (SPRINTARS – Spectral Radiation-Transport Model for Aerosol Species) and a four-dimensional variational data assimilation method (4D-Var).
K. Yumimoto, T. Takemura
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Exploring non-Gaussian sea ice characteristics via observing system simulation experiments [PDF]
The CryosphereThe Arctic is warming at a faster rate compared to the globe on average, a phenomenon commonly referred to as Arctic amplification. Sea ice has been linked to Arctic amplification and has gathered attention recently due to the decline in summer sea ice ...
C. Riedel, J. Anderson
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END-TO-END PHYSICS-INFORMED REPRESENTATION LEARNING FOR SATELLITE OCEAN REMOTE SENSING DATA: APPLICATIONS TO SATELLITE ALTIMETRY AND SEA SURFACE CURRENTS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 This paper addresses physics-informed deep learning schemes for satellite ocean remote sensing data. Such observation datasets are characterized by the irregular space-time sampling of the ocean surface due to sensors’ characteristics and satellite ...
R. Fablet +4 more
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