BA ALL mean annual flow for NSW - Choudhury implementation of Budyko runoff v01
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## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets provided by the Bureau of Meteorology. 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\nThis dataset includes a shapefile containing the mean annual runoff, using the 'Budyko-framework' implementation of Choudhury, for NSW.\n\n## **Dataset History** \n\nThe mean annual runoff dataset was created as per the Donohue et al (2010) paper. The data represent the runoff expected from the steady-state 'Budyko curve' long-term mean annual water-energy limit approach using BAWAP precipitation and the Penman potential ET described in the source dataset.\n\n\n\nChoudhury BJ (1999) Evaluation of an empirical equation for annual evaporation using field observations and results from a biophysical model. Journal of Hydrology 216, 99-110.\n\nDonohue, R.J., McVicar, T.R. and Roderick, M.L. (2010) Assessing the ability of potential evaporation formulations to capture the dynamics in evaporative demand within a changing climate. Journal of Hydrology. 386(1-4), 186-197. doi:10.1016/j.jhydrol.2010.03.020\n\nDonohue, R.J., McVicar, T.R. and Roderick, M.L., (2009) Generating Australian potential evaporation data suitable for assessing the dynamics in evaporative demand within a changing climate. CSIRO: Water for a Healthy Country Flagship, pp 43. http://www.clw.csiro.au/publications/waterforahealthycountry/2009/wfhc-evaporative-demand-dynamics.pdf\n\nMcVicar, T.R., Van Niel, T.G., Li, L.T., Roderick, M.L., Rayner, D.P., Ricciardulli, L. and Donohue, R.J. (2008) Wind speed climatology and trends for Australia, 1975-2006: Capturing the stilling phenomenon and comparison with near-surface reanalysis output. Geophysical Research Letters. 35, L20403, doi:10.1029/2008GL035627\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2015) BA ALL mean annual flow for NSW - Choudhury implementation of Budyko runoff v01. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/b20d185f-3d22-4b5d-be87-89ce13505ce7.\n\n## **Dataset Ancestors** \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** [Mean Annual Climate Data of Australia 1981 to 2012](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)\n\n
## 摘要
本数据集由生物区域评估计划(Bioregional Assessment Programme)编制,其数据源为澳大利亚气象局(Bureau of Meteorology)提供的多套数据集。本数据集的母数据集链接可在本次元数据声明的谱系字段中获取,而元数据声明中的历史字段则说明了本数据集的衍生过程。
本数据集包含针对新南威尔士州(NSW)的形状文件(shapefile),该文件采用周(Choudhury)提出的布迪科框架(Budyko-framework)实现方法计算年平均径流量。
## 数据集历史
本数据集的年平均径流量数据遵循多诺休等人(Donohue et al.,2010)的研究论文编制。该数据基于稳态布迪科曲线的长期年平均水-能量限制方法,结合源数据集提及的BAWAP降水量数据与彭曼潜在蒸散量(Penman potential ET),计算得到预期径流量。
周(Choudhury, B.J.),1999年。基于野外观测与生物物理模型结果评估年蒸发量经验方程。《水文学报》,216卷:99-110。
多诺休(Donohue, R.J.)、麦克维卡(McVicar, T.R.)与罗德里克(Roderick, M.L.),2010年。评估潜在蒸散量公式在气候变化背景下捕捉蒸散需求动态的能力。《水文学报》,386卷(1-4期):186-197。DOI:10.1016/j.jhydrol.2010.03.020
多诺休(Donohue, R.J.)、麦克维卡(McVicar, T.R.)与罗德里克(Roderick, M.L.),2009年。生成适用于评估气候变化背景下蒸散需求动态的澳大利亚潜在蒸散量数据。澳大利亚联邦科学与工业研究组织(CSIRO):健康国家水旗舰项目,第43页。http://www.clw.csiro.au/publications/waterforahealthycountry/2009/wfhc-evaporative-demand-dynamics.pdf
麦克维卡(McVicar, T.R.)、范尼尔(Van Niel, T.G.)、李(Li, L.T.)、罗德里克(Roderick, M.L.)、雷纳(Rayner, D.P.)、里卡尔杜利(Ricciardulli, L.)与多诺休(Donohue, R.J.),2008年。1975-2006年澳大利亚风速气候学与趋势:捕捉静风现象并与近地面再分析输出结果对比。《地球物理研究通讯》,35卷,L20403。DOI:10.1029/2008GL035627
## 数据集引用
生物区域评估计划(Bioregional Assessment Programme),2015年。新南威尔士州年平均径流量数据集(基于周的布迪科径流量实现方法,版本v01):生物区域评估衍生数据集。2019年3月13日查阅,http://data.bioregionalassessments.gov.au/dataset/b20d185f-3d22-4b5d-be87-89ce13505ce7。
## 数据集溯源
* **源自** [BILO网格化气候数据:1900-2012年逐年逐日气候数据](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)
* **源自** [1981-2012年澳大利亚年平均气候数据](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)
提供机构:
data.gov.au



