Charts of climate statistics and MODIS data for all Bioregional Assessment subregions

## **Abstract** \n\nThis dataset was derived by the Bioregional Assessment Programme from 'Mean climate variables for all subregions' and 'fPAR derived from MODIS for BA subregions'. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.\n\n\n\nThese are charts of climate statistics and MODIS data for each BA subregion. There are six 600dpi PNG files per subregion, with the naming convention BA-\\[regioncode\\]-\\[subregioncode\\]-\\[chartname\\].png. The charts, according to their filename, are: rain (time-series of rainfall; Figure 1), P-PET (average monthly precipitation and potential evapotranspiration; Figure 2), 5line (assorted monthly statistics; Figure 3), trend (monthly long-term trends; Figure 4) and fPAR (fraction of photosynthetically available radiation - an indication of biomass; Figure 5).\n\n\n\nThis version was created on 18 November 2014, using data that accounted for a modified boundary for the Gippsland Basin bioregion and the combination of two subregions to form the Sydney Basin bioregion.\n\n## **Purpose** \n\nThese charts were generated to be included in the Contextual Report (geography) for each subregion.\n\n## **Dataset History** \n\nThese charts were generated using MatPlotLib 1.3.0 in Python 2.7.5 (Anaconda distribution v1.7.0 32-bit). \n\n\n\nThe script for generating these plots is BA-ClimateCharts.py, and is packaged with the dataset. This script is a data collection and chart drawing script, it does not do any analysis. The data are charted as they appear in the parent datasets (see Lineage). A word document (BA-ClimateGraphs-ReadMe) is also included. This document includes examples of, and approved captions for, each chart.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2014) Charts of climate statistics and MODIS data for all Bioregional Assessment subregions. Bioregional Assessment Derived Dataset. Viewed 14 June 2018, http://data.bioregionalassessments.gov.au/dataset/8a1c5f43-b150-4357-aa25-5f301b1a02e1.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Mean climate variables for all subregions](https://data.gov.au/data/dataset/3f568840-0c77-4f74-bbf3-6f82d189a1fc)\n\n* **Derived From** [BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)\n\n* **Derived From** [fPar derived from MODIS for BA subregions](https://data.gov.au/data/dataset/299ec634-2919-4838-a163-a6804b95438c)\n\n

## **摘要**

本数据集由生物区域评估计划从“所有子区域的平均气候变量”和“BA子区域的MODIS衍生fPAR数据”衍生而来。您可在本元数据声明的谱系字段中找到父数据集的链接，历史字段则描述了本数据集的生成过程。

这些图表展示了每个BA子区域的气候统计与MODIS数据。每个子区域包含6个600dpi PNG文件，命名规范为BA-[区域代码]-[子区域代码]-[图表名称].png。根据文件名，图表类型包括：rain（降雨量时间序列；图1）、P-PET（月均降水与潜在蒸散量；图2）、5line（各类月统计数据；图3）、trend（月度长期趋势；图4）及fPAR（光合有效辐射分量——生物量的指示指标；图5）。

本版本创建于2014年11月18日，所用数据考虑了吉普斯兰盆地生物区域的修正边界，以及将两个子区域合并为悉尼盆地生物区域的情况。

## **目的**

生成这些图表旨在纳入各子区域的背景报告（地理部分）。

## **数据集历史**

这些图表通过Python 2.7.5（Anaconda发行版v1.
7.0 32位）中的MatPlotLib 1.3.0生成。生成图表的脚本为BA-ClimateCharts.py，随数据集一同打包。该脚本为数据收集与绘图脚本，不涉及任何分析；数据按父数据集中的呈现形式绘图（详见谱系）。此外还包含一份Word文档（BA-ClimateGraphs-ReadMe），其中包含各图表的示例及核准标题。

## **数据集引用**

生物区域评估计划（2014）。所有生物区域评估子区域的气候统计与MODIS数据图表。生物区域评估衍生数据集。查阅日期：2018年6月14日，http://data.bioregionalassessments.gov.au/dataset/8a1c5f43-b150-4357-aa25-5f301b1a02e1。

## **数据集祖先**

* **衍生自** [所有子区域的平均气候变量](https://data.gov.au/data/dataset/3f568840-0c77-4f74-bbf3-6f82d189a1fc)

* **衍生自** [BILO网格化气候数据：1900-2012年逐年日气候数据](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)

* **衍生自** [BA子区域的MODIS衍生fPAR数据](https://data.gov.au/data/dataset/299ec634-2919-4838-a163-a6804b95438c)