New Weather Satellite Captures Sea Surface Temperatures
نویسندگان
چکیده
منابع مشابه
Exploring Machine Learning to Correct Satellite-Derived Sea Surface Temperatures
Machine learning techniques are attractive tools to establish statistical models with a high degree of non linearity. They require a large amount of data to be trained and are therefore particularly suited to analysing remote sensing data. This work is an attempt at using advanced statistical methods of machine learning to predict the bias between Sea Surface Temperature (SST) derived from infr...
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[1] The accuracy and relative merits of two sets of daily global sea surface temperature (SST) analyses are examined and compared. The 1/8 Modular Ocean Data Analysis System (MODAS) of the Naval Research Laboratory (NRL) is based only on infrared satellite retrievals. The 1/2 Real-Time, Global (RTG) SST analysis of the National Centers for Environmental Prediction (NCEP) supplements infrared sa...
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In situ measurements of skin and bulk sea surface temperatures have been obtained during a cruise of the RV Southern Surveyor during June 2006. Comparisons with satellite-derived estimates of SST show error variability that may lead to a better understanding of the role of the ocean surface and atmospheric conditions in contributing to the in situ/satellite differences. During the first half of...
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Vector surface turbulent stresses are estimated from vector winds determined from space-borne scatterometers. Scatterometer vector winds differ subtly from in situ observations of vector winds. These differences are exaggerated for severe storm conditions, which is advantageous for determining surface stress. A physically based model for surface stress is developed to link surface turbulent str...
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A phantom surface is a stereoscopic illusory area that can be seen in depth although there is no conventional stereoscopic cues [Liu, L., Stevenson, S.B., & Schor, C.M. (1994). Quantitative stereoscopic depth without binocular correspondence. Nature, 367, 66-69; Gillam, B. & Nakayama, K. (1999). Quantitative depth for a phantom surface can be based on cyclopean occlusion cues alone. Vision Rese...
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ژورنال
عنوان ژورنال: Eos
سال: 2016
ISSN: 2324-9250
DOI: 10.1029/2016eo046207