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  1. Climate Data Online: Dataset Discovery. Click on each dataset name to expand and view more details. Information generally includes a description of each dataset, links to related tools, FTP access, and downloadable samples.

    • Ncei

      The NCEI Data Access application offers a wide variety of...

    • Web Services API

      A dataset is the primary grouping for data at NCDC....

  2. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.

  3. This is a large-scale dataset of weather events, collected from 2,071 airport-based weather stations across the contiguous United States from 2016 to 2022. The current version contains about 8.6 million weather events.

  4. These data include quality controlled daily, monthly, seasonal, and yearly measurements of temperature, precipitation, wind, and degree days as well as radar data and 30-year Climate Normals. Customers can also order most of these data as certified hard copies for legal use.

    • 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.

  5. This site provides data tables for comparing record-setting conditions and Climate Normals at major U.S. weather observing stations in the United States.

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  7. 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.

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