Australian CliMate Reference Library

Here you will find a range of documents, presentations and videos relating to the Australian CliMate.


Factsheet

CliMate's 10 analyses

Managing risk

Application of CliMate and SoilWaterApp

Tactics and strategies- a case study

There are two broad types of risk assessment:

Strategies which generally have timescales of several seasons; and

Tactics which focus on the here and now.

Using climate info.

Factsheet using climate and weather data.

Forecasting continues to improve as the Bureau of Meteorology (BoM) develops and refines new technology and modelling. A range of information is available. GRDC 2016

http://www.orm.com.au/the-bookshelf/8-newsletters/8-grdc-farm-business-update-newsletters

Observations

Experiences developing decison support tools

CliMate 2012

A brief desription of CliMate.

Soil water model

Testing water balance model

WUE - North

Factsheet: Increasing the amount of water stored in fallows is an important strategy in managing the risks associated with highly variable rainfall in the northern region to improve water use efficiency and potential crop yields. 2009

WUE - South and West

Factsheet: Increasing the amount of water stored in fallows is an important strategy in managing the risks associated with highly variable rainfall in the northern region to improve water use efficiency and potential crop yields. 2009

How daily climate data is constructed

SILO is an enhanced climate database hosted by the Queensland Department of Environment and Science (DES). Silo's unique feature is that it provides continuous records of daily variables, well suited to use in models and decision support tools.

In order to create continuous long-term records, a series of algorithms are applied to infill data gaps.

This paper describes those methods.

Update 2006 How daily climate data is constructed

SILO is an enhanced climate database hosted by the Queensland Department of Environment and Science (DES). In order to create continuous long-term records, a series of algorithms are applied to infill data gaps. This paper updates the method described in 2001 (Library item above)