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Matlab: CDIAC Gridded Data

已有 2188 次阅读 2014-12-13 09:17 |个人分类:Data|系统分类:科研笔记| Carbon

Introduction

The 2013 version of this database presents a time series recording 1° latitude by 1° longitude CO2 emissions in units of million metric tons of carbon per year from anthropogenic sources for 1751-2010. Detailed geographic information on CO2 emissions can be critical in understanding the pattern of the atmospheric and biospheric response to these emissions. Global, regional, and national annual estimates for 1751 through 2010 were published earlier (Boden et al. 2013).Those national, annual CO2 emission estimates were based on statistics about fossil-fuel burning, cement manufacturing and gas flaring in oil fields as well as energy production, consumption, and trade data, using the methods of Marland and Rotty (1984). The national annual estimates were combined with gridded 1° data on political units and 1984 human populations to create the new gridded CO2 emission time series. The same population distribution was used for each of the years as proxy for the emission distribution within each country. The implied assumption for that procedure was that per capita energy use and fuel mixes are uniform over a political unit.The consequence of this first-order procedure is that the spatial changes observed over time are solely due to changes in national energy consumption andnation-based fuel mix. Increases in fossil-fuel CO2 emissions overtime are apparent for most areas.

下面介绍这种格点数据:We suggest the data should be plotted before directly incorporating the data into a model or other use.  If read in correctly, the data should plot a map of the world with North at the top and East to the right. On each line, the data go from the 180-179 degreeswest cell to the 179-180 degrees east cell until reading in the next line of data.

数据为时间序列的1°分辨率的全球CO2排放量,按上北下南、左西右东分布。数据的具体参数请见说明文档(readme.ndp058_v2013.doc),测试数据的空间分布见图 1,附上测试数据及代码(Code.rar)。

 

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