AUST Choudhury runoff derived annual flow v01

## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. \n\nProvides an ESRI file geodatabase containing Budyko-Choudhury derived runoff data in various forms as follows:\n\n\n\nRasters:\n\nAust_9sec_Q_cell_ML = runoff resampled expressed in ML per 9 second cell (as per GA 9 sec DEM, see lineage)\n\nAust_9sec_accumulated_Q_ML = accumulated runoff derived from above and GA 9sec flow direction.\n\n\n\nPoint feature classes:\n\nAust_accumulated_Q_ML_points = as for accumultated Q raster above but presented as cell centroids\n\nAust_accumulated_Q_ML_points_nonzero = as above but with all zero ML point values excluded\n\nAust_accumulated_Q_ML_points_1M= as above but includes only points with accumulated runoff of 20k ML or greater\n\nAust_accumulated_Q_ML_points_1M_RivReg = as above but with points attributed with River Region\n\nAust_accumulated_Q_ML_points_1M_RivReg_alb = as above but in GA Aust Albers projection.\n\n## **Dataset History** \n\nThe mean annual runoff dataset was created according to Donohue et al (2010). The data represent the runoff expected from the steady-state 'Budyko curve' longterm mean annual water-energy limit approach using BAWAP precipitation and the Penman potential ET described in the source dataset.\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) AUST Choudhury runoff derived annual flow v01. Bioregional Assessment Derived Dataset. Viewed 10 December 2018, http://data.bioregionalassessments.gov.au/dataset/afd66e9f-afca-4008-986b-ba9b06b47e57.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Australian Water Resource Assessment (AWRA) River Regions](https://data.gov.au/data/dataset/d263c464-c700-4aa6-9e55-39b6b82115a0)\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** [AUS Budyko Runoff 1982 to 2010 v01](https://data.gov.au/data/dataset/6e2d4bb1-6902-4243-8be4-eb72dbabcb1b)\n\n* **Derived From** [GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008](https://data.gov.au/data/dataset/ebcf6ca2-513a-4ec7-9323-73508c5d7b93)\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项目（Bioregional Assessment Programme）基于多源数据集衍生而成，源数据集信息详见本元数据声明的「谱系（Lineage）」字段，该衍生数据集的生成流程详见本元数据声明的「历史（History）」字段。

本数据集提供ESRI文件地理数据库（ESRI file geodatabase），内含以多种形式存储的Budyko-Choudhury衍生径流数据，具体如下：

栅格数据：
Aust_9sec_Q_cell_ML：经重采样的径流数据，单位为每9秒格网兆升（ML），采用GA 9秒分辨率数字高程模型（DEM），详见谱系字段。
Aust_9sec_accumulated_Q_ML：基于上述径流数据与GA 9秒流向数据衍生的累积径流数据。

点要素类：
Aust_accumulated_Q_ML_points：与上述累积径流栅格数据一致，但以格网质心点形式呈现。
Aust_accumulated_Q_ML_points_nonzero：与上述数据一致，但剔除了所有兆升（ML）数值为0的点要素。
Aust_accumulated_Q_ML_points_1M：与上述数据一致，但仅保留累积径流量≥20000兆升（ML）的点要素。
Aust_accumulated_Q_ML_points_1M_RivReg：与上述数据一致，但为点要素添加了河流区域（River Region）属性字段。
Aust_accumulated_Q_ML_points_1M_RivReg_alb：与上述数据一致，但采用GA澳大利亚阿尔伯斯（Albers）投影坐标系。

## **数据集历史**

本年均径流量数据集依据多诺休等人（Donohue et al., 2010）的方法构建。该数据基于稳态「Budyko曲线」长期年均水热限制法，采用源数据集中的BAWAP降水数据与彭曼潜在蒸散量（Penman potential ET），得到理论径流值。

1. Choudhury BJ. 1999. 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（Journal of Hydrology）*, 216: 99-110.
2. Donohue RJ, McVicar TR, Roderick ML. 2010. 评估潜在蒸散量公式在气候变化下捕捉蒸发需求动态的能力. *水文学报（Journal of Hydrology）*, 386(1-4): 186-197. doi:10.1016/j.jhydrol.2010.03.020
3. Donohue RJ, McVicar TR, Roderick ML. 2009. 生成适用于评估气候变化下蒸发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
4. McVicar TR, Van Niel TG, Li LT, Roderick ML, Rayner DP, Ricciardulli L, Donohue RJ. 2008. 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表再分析输出结果对比. *地球物理研究通讯（Geophysical Research Letters）*, 35: L20403, doi:10.1029/2008GL035627

## **数据集引用**

生物区域评估项目（Bioregional Assessment Programme）. 2015. AUST Choudhury衍生年径流量数据集v01. 生物区域评估衍生数据集. 2018年12月10日访问. http://data.bioregionalassessments.gov.au/dataset/afd66e9f-afca-4008-986b-ba9b06b47e57.

## **数据集溯源**

* **衍生自** [澳大利亚水资源评估（AWRA）河流区域](https://data.gov.au/data/dataset/d263c464-c700-4aa6-9e55-39b6b82115a0)
* **衍生自** [BILO格网气候数据：1900-2012年逐日气候数据](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)
* **衍生自** [1982-2010年澳大利亚Budyko径流量数据集v01](https://data.gov.au/data/dataset/6e2d4bb1-6902-4243-8be4-eb72dbabcb1b)
* **衍生自** [GEODATA 9秒分辨率数字高程模型与D8流向网格2008版](https://data.gov.au/data/dataset/ebcf6ca2-513a-4ec7-9323-73508c5d7b93)
* **衍生自** [1981-2012年澳大利亚年均气候数据](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)