PREP

版本 1.0.0 (2.3 KB) 作者: Yang Liu
Climate proxy representativeness calculation and visualization toolbox.
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更新时间 2024/2/4

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The PREP toolbox calculate the representativeness of climate proxy. The representativeness (or sensitivity) of a proxy series (annual resolution) to a climate variable (monthly resolution) is characterized by determining a seasonal window (e.g., May to September) during which the correlation between the mean series of the climate variable within this temporal window and the proxy data series (both at annual resolution) is strongest. Moreover, a spatial polygon is identified, which is a connected region encompassing the proxy data sampling point. Within this region, the proxy data significantly indicate (at the specified significance level threshold) the variation of the climate variable over the same seasonal window.

引用格式

Yang Liu (2024). PREP (https://www.mathworks.com/matlabcentral/fileexchange/158951-prep), MATLAB Central File Exchange. 检索时间: .

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版本 已发布 发行说明
1.0.0