Teaching Machines to Detect Climate Extremes
نویسندگان
چکیده
منابع مشابه
Climate extremes and climate change: The Russian heat wave and other climate extremes of 2010
[1] A global perspective is developed on a number of high impact climate extremes in 2010 through diagnostic studies of the anomalies, diabatic heating, and global energy and water cycles that demonstrate relationships among variables and across events. Natural variability, especially ENSO, and global warming from human influences together resulted in very high sea surface temperatures (SSTs) i...
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The response of precipitation extremes to climate change is considered using results from theory, modeling, and observations, with a focus on the physical factors that control the response. Observations and simulations with climate models show that precipitation extremes intensify in response to a warming climate. However, the sensitivity of precipitation extremes to warming remains uncertain w...
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In the field of Natural Language Processing, one of the very important research areas of Information Extraction (IE) comes in Named Entity Recognition (NER). NER is a subtask of IE that seeks to identify and classify the predefined categories of named entities in text documents. Considerable amount of work has been done on NER in recent years due to the increasing demand of automated texts and ...
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Precipitation extremes increase in intensity over many regions of the globe in simulations of a warming climate1–3. The rate of increase of precipitation extremes in the extratropics is consistent across global climate models, but the rate of increase in the tropics varies widely, depending on the model used3. The behaviour of tropical precipitation can, however, be constrained by observations ...
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ژورنال
عنوان ژورنال: Eos
سال: 2020
ISSN: 2324-9250
DOI: 10.1029/2020eo145702