
In this section, the structure of the Australian Water Balance Model (AWBM) is described completely. Also, the processing of data preparation and some settings are explained in this video.
In this section, The steps required for model calibration using different optimization methods are described. In addition, the importance of selecting optimization objectives is illustrated.
In this section, the impacts of each parameter on the objective function and the sensitivity of the AWBM model are described.
In this video, the steps required for downloading Potential Evapotranspiration (PET) from a practical platform are described clearly. As you know, PET is one of the most important inputs of conceptual hydrologic models such as AWBM, and if you do not have access to the PET dataset in your case study, you can download it easily from online data sources.
In this section, the required processes for downloading precipitation datasets from PERSIANN products! ?️ Whether you're a researcher, meteorologist, or data enthusiast, this guide will walk you through the process of accessing these valuable datasets using the CHRS Data Portal.
In this course, the structure of the AWBM model, required input datasets, calibration methods, sensitivity analysis, and analysis of the outputs are described completely. The Australian water balance model (AWBM) is a catchment water balance model that calculates runoff from rainfall at daily or hourly time increments. The Australian water balance model (AWBM) was developed in the early 1990s (Boughton, 1993a, Boughton and Carroll, 1993) and is now one of the most widely used rainfall-runoff models in Australia. In addition, in this course, I explained how to download precipitation and evapotranspiration datasets using online data sources. For precipitation, I chose the PERSIANN (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks) products which are available in CHRS Data Portal. Also, for evapotranspiration, I completely explained the Earth2Obrsve reanalysis project, which is one the best online data sources for meteorological and hydrological variables.
After watching this course, you can simulate runoff and calibrate the AWBM model or other similar conceptual hydrologic model for each case study using different datasets. If you have any questions or problems just keep in touch with me through email. I try my best to respond to all emails as soon as possible and help you to tackle all modeling-related issues.