A group of weather forecasts from different models can help predict rain better than just one model. By combining forecasts from seven models, the group can give more accurate predictions of where and how much rain will fall. This "poor man's ensemble" was tested in Australia and showed good results for predicting rain up to 2 days ahead. The combined forecast was more accurate than any single model on its own. By averaging the forecasts, the group could improve the accuracy of where the rain would fall. This method could help improve weather predictions and give more reliable information about upcoming rainfall.