Local weather both historically and forecast (hourly and daily)

We can do any location (hyper-local through to city wide) in most countries globally. Each weather record holds detailed day average records for items such as temperature, cloud cover through to humidity Where days are missing we will highlight those and either back- or forward-fill using rolling mean averages

搜集汇总

背景与挑战

背景概述

该数据集提供全球多数国家任意地点的历史与预测天气数据，包含逐日详细记录如温度、湿度和云量等指标。对于缺失数据，系统会进行标记并使用滚动平均法进行前后填补。