AUST Choudhury runoff derived annual flow v01

## **Abstract** 

The 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. 

Provides an ESRI file geodatabase containing  Budyko-Choudhury derived runoff data  in various forms as follows:



Rasters:

Aust_9sec_Q_cell_ML = runoff resampled expressed in ML per 9 second cell (as per GA 9 sec DEM, see lineage)

Aust_9sec_accumulated_Q_ML = accumulated runoff derived from above and GA 9sec flow direction.



Point feature classes:

Aust_accumulated_Q_ML_points = as for accumultated Q raster above but presented as cell centroids

Aust_accumulated_Q_ML_points_nonzero = as above but with all zero ML point values excluded

Aust_accumulated_Q_ML_points_1M= as above but includes only points with accumulated runoff of 20k ML or greater

Aust_accumulated_Q_ML_points_1M_RivReg = as above but with points attributed with River Region

Aust_accumulated_Q_ML_points_1M_RivReg_alb = as above but in GA Aust Albers projection.

## **Dataset History** 

The 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.

Choudhury 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.

Donohue, 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

Donohue, 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

McVicar, 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

## **Dataset Citation** 

Bioregional 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.

## **Dataset Ancestors** 

* **Derived From** [Australian Water Resource Assessment (AWRA) River Regions](https://data.gov.au/data/dataset/d263c464-c700-4aa6-9e55-39b6b82115a0)

* **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)

* **Derived From** [AUS Budyko Runoff 1982 to 2010 v01](https://data.gov.au/data/dataset/6e2d4bb1-6902-4243-8be4-eb72dbabcb1b)

* **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)

* **Derived From** [Mean Annual Climate Data of Australia 1981 to 2012](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)



Tags: Australia, Hunter subregion, Maranoa-Balonne-Condamine subregion, Namoi subregion, Sydney Basin bioregion, climatologyMeteorologyAtmosphere, inlandWaters
Organization: Bioregional Assessment Program