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Weather (Max-Planck-Institut Weather Dataset for Long-term Time Series Forecasting) Weather is recorded every 10 minutes for the 2020 whole year, which contains 21 meteorological indicators, such as air temperature, humidity, etc.
- Overview
- Dataset Description
- Objectives
- Methodology
- 1. Temperature and Precipitation Trends
- 2. Geographical Variations
- 3. Day-to-Day Variability
- 4. Drought Analysis
- 5. Extreme Weather Events
- 6. Long-term Climate Trends
This document summarizes the analysis performed on a comprehensive weather dataset. The dataset includes various weather parameters such as temperature, precipitation, and wind speed, recorded across different locations in the United States.
The dataset contains the following key columns:
Date.Full: The date of observation. Date.Month: Month of observation. Date.Year: Year of observation. Station.City: City where the observation was made. Station.State: State where the observation was made. Data.Temperature.Avg Temp: Average temperature recorded. Data.Temperature.Max Temp: Maximum temperature recorded. Data.Temperature.Min Temp: Minimum temperature recorded. Data.Precipitation: Precipitation amount. Data.Wind.Speed: Wind speed.
The primary objectives of the analysis were to:
Understand temperature and precipitation trends. Identify geographical variations in climate. Detect extreme weather events and variability.
Several analytical approaches were used, including:
Trend Analysis: Examining temperature and precipitation over time. Geographical Analysis: Comparing weather patterns across different states. Variability Analysis: Studying day-to-day changes in weather conditions. Extreme Event Analysis: Identifying instances of extreme temperatures and heavy rainfall.
Average temperatures and precipitation levels displayed notable seasonal and yearly variations.
Significant differences in average temperatures and precipitation were observed across states.
Temperature and precipitation variability varied widely across different locations, indicating diverse climatic conditions.
Instances of low precipitation varied by state, with some regions experiencing more frequent dry periods.
The frequency of extreme temperature and heavy rainfall events varied significantly across states.
Year-to-year changes in average temperature and precipitation were noted, reflecting potential shifts in climate patterns.
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Numerical Weather Prediction (NWP) data are the most familiar form of weather model data. NWP computer models process current weather observations to forecast future weather.
