Weather monitor dataset collected from mobile weather monitoring System in Kaduna, Nigeria

DESCRIPTION: The designed weather forecast system was constructed and deployed at Nigeria Airforce Base Kaduna, Nigeria. It was able to monitor real time weather condition and collects weather parameters through a sensing device called BME280, keeps up-to-date meteorological information in a memory card, including temperature, pressure, wind speed, humidity, altitude, and precipitation. It was allowed to generate data samples at the rate of 1 sample per second. The weather system was allowed to run for seven days, with each day’s data extracted and recorded separately. The data obtained is in CSV. The weather system recorded three stages of the weather condition which are the acquiring, stable, and unstable stage. Acquiring Stage: At the initial stage of powering up the weather monitoring system, "weather condition acquiring data" refers to the process of collecting real-time atmospheric data from the weather system. This data encompasses important meteorological elements include precipitation, pressure, wind speed, temperature, and humidity. The system utilizes the collected data to create a reference point for existing weather conditions, which is crucial for initializing forecasting models. This initial data acquisition forms the basis for generating reliable weather forecasts. Stable Stage: During the stable stage of a weather forecasting system, following the collection of initial data, "stable weather condition data" denotes the dependable and consistent set of atmospheric information that the system has accumulated and confirmed over a period of time. This data typically reflects steady weather patterns, with minimal fluctuations in key variables like temperature, pressure, wind speed, and humidity. During this stage, the system has processed the initial real-time data and adjusted its models to account for any short-term variations, allowing it to generate more accurate and stable forecasts. The system’s output during this stage is providing a clearer and more predictable forecast for upcoming conditions. Unstable Stage: The term "unstable stage" of weather condition describes a period of time where atmospheric conditions are subject to abrupt shifts, especially when the ground and upper atmosphere have significantly different temperatures or pressures. During this stage, warm air near the surface rises and can cause turbulent conditions, leading to the formation of clouds, thunderstorms, and other severe weather events. This instability is frequently linked with heightened chances of sudden weather shifts, such as heavy rainfall, strong winds, intense sunshine or even severe storms. The designed weather forecasting system’s output during this stage captured four weather condition output which include sunny, windy, cloudy and rainy condition.数据集描述： 本研究设计的天气预报系统已在尼日利亚卡杜纳空军基地完成搭建并部署。该系统可通过名为BME280的传感设备监测实时天气状况并采集气象参数，将气温、气压、风速、湿度、海拔及降水量等核心气象要素的最新观测数据存储于存储卡中。系统支持以每秒1个样本的速率生成数据采样。该气象系统连续运行七日，每日数据均单独提取并记录，所获数据格式为CSV。该气象系统记录了三类天气状态阶段：数据采集阶段、稳定阶段与不稳定阶段。 数据采集阶段： 在气象监测系统上电启动的初始阶段，"天气状态采集数据"指系统采集实时大气数据的过程。此类数据涵盖降水量、气压、风速、气温及湿度等核心气象要素。系统将利用采集到的数据为当前天气状况建立参考基准，这对初始化天气预报模型至关重要。本次初始数据采集为生成可靠的天气预报奠定了基础。 稳定阶段： 在完成初始数据采集后，天气预报系统进入稳定运行阶段。此时"稳定天气状态数据"指系统经过一段时间积累并验证得到的可靠且一致的大气信息集合。这类数据通常反映稳定的天气模式，气温、气压、风速及湿度等关键变量的波动幅度极小。在此阶段，系统已完成对初始实时数据的处理，并针对短期波动调整了模型，从而能够生成更精准、稳定的预报。该阶段的系统输出可为未来天气状况提供更清晰且可预测的预报结果。 不稳定阶段： 天气状态的"不稳定阶段"指大气状况发生突发变化的时段，尤其当地面与高空的温度或气压存在显著差异时。此阶段中，近地面暖空气上升，可引发湍流状态，进而形成云层、雷暴及其他极端天气事件。这类大气不稳定状态往往伴随突发天气变化的高风险，例如强降雨、强风、强光暴晒甚至强风暴。本研究设计的天气预报系统在该阶段的输出涵盖四类天气状态：晴天、大风、阴天与降雨天气。