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A global perspective of atmospheric carbon dioxide concentrations.
Parallel Computing ( IF 1.4 ) Pub Date : 2016-03-17 , DOI: 10.1016/j.parco.2016.03.001
William M Putman 1 , Lesley Ott 1 , Anton Darmenov 1 , Arlindo daSilva 1
Affiliation  

A high-resolution (7 km) non-hydrostatic global mesoscale simulation using the Goddard Earth Observing System (GEOS-5) model is used to visualize the flow and fluxes of carbon dioxide throughout the year. Carbon dioxide (CO2) is the most important greenhouse gas affected by human activity. About half of the CO2 emitted from fossil fuel combustion remains in the atmosphere, contributing to rising temperatures, while the other half is absorbed by natural land and ocean carbon reservoirs. Despite the importance of CO2, many questions remain regarding the processes that control these fluxes and how they may change in response to a changing climate. This visualization shows how column CO2 mixing ratios are strongly affected by local emissions and large-scale weather systems. In order to fully understand carbon flux processes, observations and atmospheric models must work closely together to determine when and where observed CO2 came from. Together, the combination of high-resolution data and models will guide climate models towards more reliable predictions of future conditions.

中文翻译:

大气中二氧化碳浓度的全球视角。

使用戈达德地球观测系统(GEOS-5)模型进行的高分辨率(7公里)非静水全球中尺度模拟用于可视化全年的二氧化碳流量和通量。二氧化碳(CO2)是受人类活动影响的最重要的温室气体。化石燃料燃烧产生的二氧化碳大约一半留在大气中,导致温度升高,而另一半则被自然土地和海洋碳库吸收。尽管二氧化碳的重要性,但控制这些通量的过程以及它们如何响应气候变化而变化仍然存在许多问题。该可视化图显示了色谱柱CO2混合比如何受到本地排放量和大规模天气系统的强烈影响。为了充分了解碳通量过程,观测和大气模型必须紧密协作,以确定何时何地观测到的二氧化碳来自何处。总之,高分辨率数据和模型的结合将指导气候模型朝着更可靠的未来状况预测。
更新日期:2016-03-17
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