DCAP2 Horticulture Project
Introduction
Pie charts
Histograms
 
Feedback Contact: poama@bom.gov.au.
Feedback on the products is encouraged as this will help determine whether they will become fully operational Bureau products and available to all. The Bureau can also use suggestions to help tailor and guide the presentation of a product.
The products are experimental only and do not currently form part of the Bureau's standard services in any way. Access to the products is made available for trial purposes only and on the basis that users are fully aware that these products are being tested and that users will not issue these products as real-time forecasts in any way. The forecast products are subject to the Bureau's copyright and disclaimer.
The experimental forecast products delivered here have been developed as a result of funding from the Queensland Drought and Climate Adaptation Program 2 - a Program designed to improve drought preparedness and resilience for Queensland producers ( https://www.daf.qld.gov.au/environment/drought/dcap/about-dcap ). The project, entitled The Use of Bureau of Meteorology Multi-Week and Seasonal Forecasts to Facilitate Improved Management Decisions in Queensland’s Vegetable Industry, will trial forecast products for the Lockyer Valley and the Granite Belt with producers to enhance farm management decision making in the Queensland vegetable industry.
Pie charts
Sample Pie Chart

The pie charts show the likelihood that temperatures (either Tmax or Tmin) will be cooler, near median or warmer than usual for a particular forecast lead time and region (similarly for rainfall i.e. drier, near median or wetter than normal).

Forecasts are available for:

  • Rainfall, Tmax, Tmin
  • Week 2, Fortnight 2 (week 2+3), Fortnight 3 (week 3+4), Month 1, Month 2, Season 1
Histograms
Sample Histogram

The histograms show the distribution of forecast daily values within the selected forecast period. The forecast distribution is shown in yellow and is plotted on top of the model climatological distribution which is shown in grey. By comparing the forecast distribution with the background climatological distribution one can see how the forecast period differs from the long term climatology. The example plot shown above is for a forecast of week 2 for a certain region. There is a clear shift of the forecast histogram (yellow) towards days of more extreme temperatures in that week, compared to what is normally expected at that time of year (grey).

Forecasts are available for:

  • Rainfall, Tmax, Tmin
  • Week 2, Week 3, Fortnight 1 (week 1+2), Fortnight 2 (week 2+3), Fortnight 3 (week 3+4), Month 1, Month 2, Month 3, Season 1, Season 2