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Daily and Hourly Forecasts - U.S. Postal Codes Sample

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Databricks2024-05-09 收录
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https://marketplace.databricks.com/details/235b45d2-d625-4c1c-90a2-68e4568dda40/AccuWeather_Daily-and-Hourly-Forecasts---U.S.-Postal-Codes-Sample
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资源简介:
**Overview** Instantly access a static sample of AccuWeather's daily 15 day weather forecast data for all U.S. postal codes. With the largest and best collection of real-time data, along with expert data analysis, you will be sure to receive the most accurate weather data and forecasts. AccuWeather utilizes over 170 forecast models from around the world, along with meteorologist insights, to create our digital forecast systems. Actionable business insights that enhance safety, improve performance, reduce risk and protect revenue. The AccuWeather dataset provides daily forecasts for up to 90 days, hourly forecasts for up to 240 hours, and includes 100+ weather parameters, including AccuWeather’s proprietary RealFeel(R) Temperature and RealFeel(R) Shade. AccuWeather’s weather data and forecasts focus on the impact on people and businesses so that they can make the best weather-impacted decisions. **Use cases** Examples of leveraging AccuWeather data to make the best weather-impacted decisions: - Better position retail inventory by quickly adjusting distribution and operational needs, creating new sales opportunities. - Prepare in advance of severe weather and optimize outdoor project schedules. - Optimize logistics by predicting and planning for weather related routing & supply chain disruptions - Minimize risks, avoid costly shutdowns and detect disruptions before they occur. **Product details** Samples/Tables Included: - Daily Forecast Weather - Hourly Forecast Weather Fields Included: - Date - Postal Code metdata (including Latitude/Longitude) - Daily Forecast Parameters (Temperature, RealFeel Temperature, Wind speed & Direction, Precipitation Probability, etc.) - Hourly Forecast Parameters (Temperature, Relative Humidity, Cloud Cover Percentage, Total Liquid, etc.)

**概述** 可即刻获取覆盖全美所有邮政编码的AccuWeather每日15天天气预报静态样本数据集。 依托全球规模最大、品质最优的实时数据集群与专业数据分析能力,可确保获取最为精准的气象数据与预报服务。AccuWeather整合全球超170套气象预报模型,并结合气象专家的研判经验,搭建了专属数字化预报系统,可输出可落地的商业洞察,助力提升安全水平、优化运营效率、降低风险并保障营收。 本AccuWeather数据集支持提供最长90天的每日天气预报与最长240小时的逐小时天气预报,涵盖100余项气象参数,其中包括AccuWeather专属自研的RealFeel(R)体感温度与RealFeel(R)阴凉体感温度。 AccuWeather的气象数据与预报始终聚焦对民众及商业活动的影响,助力相关主体做出最优的气象关联决策。 **应用场景** 借助AccuWeather数据制定最优气象关联决策的典型应用示例如下: - 通过快速调整配送与运营需求优化零售库存布局,挖掘新增销售机遇。 - 提前针对极端天气做好应对筹备,优化户外项目施工排期。 - 通过预测并规划气象相关的运输路线与供应链中断风险,优化物流调度。 - 最大限度降低风险,避免代价高昂的运营中断,并在异常发生前提前侦测各类中断事件。 **产品详情** 包含的样本/数据表类型: - 每日气象预报 - 逐小时气象预报 涵盖字段: - 日期 - 邮政编码元数据(含纬度/经度信息) - 每日气象预报参数(气温、RealFeel(R)体感温度、风速与风向、降水概率等) - 逐小时气象预报参数(气温、相对湿度、云量占比、总液态降水量等)
提供机构:
AccuWeather
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集为美国邮政编码提供天气预测样本,包含15天每日预报和240小时每小时预报,涵盖100多个天气参数,如RealFeel温度。数据可用于零售、物流和风险管理等领域,以支持天气相关决策。样本包括日期、邮政编码元数据(如经纬度)以及每日和每小时预测的具体参数。
以上内容由遇见数据集搜集并总结生成
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