forecasts的音標為[?f??kɑ?stz]，基本翻譯為“預測，預報”，速記技巧為“fore前，cast拋”。

Forecasts的英文詞源是“fore”和“cast”，分別代表“預先”和“投擲”的意思。這個詞組在英語中表示對未來的預測或展望。

變化形式：復數形式是forecasts，過去式是forecast，過去分詞是forecast。

相關單詞：

1. forecasting - 預測

2. forecasted - 預見的

3. unforecasted - 未預見的

4. forecastability - 可預測性

5. forecastle - 船頭的甲板

6. forecastmill - 投石機

7. forecastlet - 小預測

8. forecasting machine - 預測機

9. forecasting theory - 預測理論

10. forecasting model - 預測模型

Forecasts在英語中經常用于描述對未來的預測或展望，這個詞組也反映了人們對未來的一種好奇心和探索精神。同時，這個詞組也體現了英語詞匯的多樣性和靈活性。

常用短語：

1. long-term forecast長期預報

2. medium-term forecast中期預報

3. short-term forecast短期預報

4. weather forecast天氣預報

5. economic forecast經濟預測

6. stock market forecast股市預測

7. climate change forecast氣候變化預測

例句：

1. The government has released a new long-term forecast for the economy, indicating that growth will continue at a steady pace over the next decade.

2. The weather forecaster predicted heavy rain for the next three days, so we decided to postpone our outdoor activities.

3. The stock market has been volatile recently, so it"s important to consider a medium-term forecast before investing.

4. Climate change is predicted to have a significant impact on our economy in the coming decades, so it"s crucial to take action now to adapt to the changes.

5. The economic forecast for next year is uncertain due to the ongoing global pandemic, so it"s important to prepare for all possible outcomes.

6. The long-term forecast for renewable energy sources is positive, but we must continue to invest in research and development to ensure that we can meet future energy needs sustainably.

7. The short-term forecast for the stock market is mixed, with some sectors showing strength and others showing weakness.

英文小作文：

The Future of Weather Forecasting

Weather forecasting has come a long way since the early days of looking at the sky and using traditional instruments like barometers and thermometers. Today, we have access to advanced technology that allows us to make more accurate predictions about the weather in the coming days and weeks. However, with climate change affecting weather patterns, it"s becoming increasingly important to consider long-term and medium-term forecasts as well.

One of the most exciting advances in weather forecasting is the use of satellite imagery and high-resolution data from weather satellites that allow us to see weather systems forming and moving around the world. This information is combined with other data sources, including weather radar, surface observations, and climate models, to create more accurate forecasts.

Another area that has seen significant progress is in machine learning and artificial intelligence algorithms that can analyze vast amounts of data and make predictions based on patterns and trends. These algorithms can help us identify weather patterns that are likely to occur more frequently or that are more severe than usual, allowing us to take action sooner and prepare for potential impacts on our daily lives and businesses.

However, weather forecasting is still a complex and challenging field, and we must continue to invest in research and development to improve our capabilities and ensure that we can provide accurate and useful information to decision makers, individuals, and businesses alike. With advances in technology and increased understanding of climate change, we can expect to see even more advanced weather forecasting tools in the future.