Results 21 to 30 of about 1,130 (182)
Remote Sensing, 2021 Parameter estimation plays an important role in reducing model error and thus is of great significance to improve the simulation and prediction capabilities of the model.
Yanqiu Gao +3 more
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Tellus: Series A, Dynamic Meteorology and Oceanography, 2013 A series of experiments that explore the roles of model and initial condition error in numerical weather prediction are performed using an observing system simulation experiment (OSSE) framework developed at the National Aeronautics and Space ...
Nikki C. Privé, Ronald M. Errico
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Electron density profiles probed by radio occultation of FORMOSAT-7/COSMIC-2 at 520 and 800 km altitude [PDF]
Atmospheric Measurement Techniques, 2015 The FORMOSAT-7/COSMIC-2 (F7/C2) will ultimately place 12 satellites in orbit with two launches with 24–28.5° inclination and 520–550 km altitude in 2016 and with 72° inclination and 720–750 km altitude in 2018.
J. Y. Liu, C. Y. Lin, H. F. Tsai
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Water quality assessment of Osse River, Gele-gele: a tributary of Benin River, southern Nigeria
Journal of Applied Sciences and Environmental Management, 2018 The physical/chemical characteristics and some heavy metals of Osse River, Gele-gele, Southern Nigeria was assessed during the dry and wet seasons. Four stations were studied from upstream to downstream with an average distance of 500meters between each
O.P. Uwaifo +2 more
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End-to-End Neural Interpolation of Satellite-Derived Sea Surface Suspended Sediment Concentrations
Remote Sensing, 2022 The characterization of suspended sediment dynamics in the coastal ocean provides key information for both scientific studies and operational challenges regarding, among others, turbidity, water transparency and the development of micro-organisms using ...
Jean-Marie Vient +3 more
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An Entropy Framework for Evaluating Reflectance Observations for Climate Studies
Earth and Space Science, 2022 This study evaluated the comparative entropy represented in shortwave (300–1,750 nm) passive remote sensing measurements from conceptual instruments with varying systematic measurement uncertainties and spectral resolutions. The focus was on spectral and
Yolanda L. Shea +4 more
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Remote Sensing, 2023 Three ground-based radars in the Pearl River Delta successfully observed Typhoon Higos (2020), which traveled over the offshore area in the South China Sea. During the observation period, the stratiform region of the outer rainband of HIGOS became active
Ruiyi Li +6 more
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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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Adaptive monitoring in microkernel OSs [PDF]
2010 International Conference on Dependable Systems and Networks Workshops (DSN-W), 2010 The microkernel architecture has been investigated by both industries and the academia for the development of dependable Operating Systems (OSs). This work copes with a relevant issue for this architecture, namely unresponsive components because of deadlocks and infinite loops.
COTRONEO, DOMENICO +2 more
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CoRRWe have selected six myths about the OSS community and have tested whether they are true or not. The purpose of this report is to identify the lessons that can be learned from the development style of the OSS community and the issues that need to be addressed in order to achieve better Employee Experience (EX) in software development within companies ...
Yukako Iimura +5 more
openaire +2 more sources