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Base layers and dataCommon data formatsDescription and use
Observed flow data preferably at the same time-step as modelTime series

Typically, you can use daily time-step gauging station data (ML/day or m3/s) in the hydrological calibration/validation process, or as a substitute for modelled runoff as an observed flow time series at relevant nodes. You need to assess the length of time for which records are available, data quality and data gaps to determine how use useful the data sets are for calibration/validatiovalidation. It is preferable to have data sets that are at least 10 years in duration and that cover both wet and dry periods.

When extracting gauged flow time series data from databases such as HYDSTRA (commercial software used across Australia for archiving gauge data), it is important to align the time bases for flow with other climate data sets. For example, SILO data is collected each day at 09:00am, so each data point is the total rainfall for the previous day. Therefore, when extracting flow data from HYDSTRA, ensure that the "end of day" option is selected, so that the flow data will align with the SILO rainfall data. It is important to understand the conventions used by your organisation as well as those that send you data - they may not be the same!
Observed water quality dataTime seriesData used in the water quality calibration/validation process. You need to assess the length of time for which records are available, data quality and data gaps to determine how useful the data sets are for calibration/validation. It is preferable to have data sets that cover both storm event and ambient conditions that include both wet and dry periods.
Existing reportsReport or spreadsheetExisting reports for the region may assist in hydrology and water quality calibration process, eg. load estimation.

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