This tutorial describes what HowLeaky is, explains why it was developed, gives some example of what it can do while highlighting its strengths and weaknesses. It provides an overview of the "model" and its sub-components, an explains how we can make it work though forumulating scenarios.

This tutorial provides an overview of the HowLeaky user interface. It looks at the main menu options, the input panel options and some of the key analyses.

This tutorial discusses the concept of "scenarios" in HowLeaky. It describes what a scenario is, demonstrates how to create and configure a scenario, group scenarios, delete scenarios and create multiple scenarios.

This tutorial describes what a data template (parameter file) is and demonstrates how to create, import, edit, delete, duplicate and navigate data templates. 

This tutorial demonstrates how to reveal and select time-series, how to zoom and scroll (pan) through charts, how to switch between layout, overlay and stacked views, how to change data format (daily, monthly and yearly), how to show different chart annotations, and how to change individual time-series options.

This tutorial describes a simple calibration process showing how to import some measured data, compare measured versus simulated data, modify a parameter value to calibrate the model, and use a range of tools to evaluate the calibration.

Series of slides showing you how to import APSOIL data (from the APSOIL datatbase) in Howleaky.

Observations on the application of a range of learning and decision support tools mainly dealing with soil and water conservation, water quality and climate risk management in Queensland’s semiarid tropics grain producing areas are presented. These observations, while clearly subjective, are offered to support discussion toward development of better risk assessment and decision support tools for farmers. 

Presentation showing how to assess impact of management on water quality from range of land uses at the paddock scale (sediment, nutrients, pesticides), capture key datasets and insights from WQ studies (n= 112, 12 with detail), and add value: best bet model parameters.

Presentation showing the worth of models in agricultural research including discussing reasons for modelling, where modelling initiative began, making sense of experimental data, what is a model, water balance models, cropping system model, conceptual models, tradeoffs in modelling, and the simplicity cycle.

Presentation discussing measuring and modelling, value of field observations, conceptual models, water balance models, cropping system models, HowLeaky model and methodology for water quality assessment. Also looks at relationships between measured and modelled data.

Presentation describing how to gain from local experts, sufficient information to parameterise a water-balance-water-quality model to provide a first estimate of hydrology, erosion, sediment, nutrient and pesticide loads leaving a paddock. Process is to describe soil water and hydrology, vegetation, nutrition regime and pesticide regime.

Presentation describing the need for modelling, soil-plant models, water balance models (and structure), cropping systems, strengths and weaknesses, tradeoffs in modelling, complexity and generality, examples of where models helped make sense of noisy field data, and modelling runoff and erosion.

This tutorial shows you how to create and add a kmz file to the HowLeaky website.