Climate Change Dataset2020–2024
Unveiling Earth's Symphony: Climate Change Insights from 2020 to 2024
@kaggle.atifmasih_climate_change_dataset2020_2024
Unveiling Earth's Symphony: Climate Change Insights from 2020 to 2024
@kaggle.atifmasih_climate_change_dataset2020_2024
This dataset, spanning from January 2020 to May 2024, contains a comprehensive collection of global climate data. It includes various climatic features measured on a monthly basis, providing insights into weather patterns, temperature changes, and environmental conditions over time.
Climate Research: Provides data for studying climate trends, patterns, and changes over time.
Weather Forecasting: Helps in building predictive models for temperature, precipitation, and other weather conditions.
Environmental Analysis: Supports analysis of environmental factors such as CO2 levels, particulate matter, and solar irradiance.
Impact Assessment: Useful for assessing the impact of climate change on various aspects like agriculture, public health, and natural ecosystems.
Policy-making: Provides insights for policymakers to develop strategies related to climate resilience, disaster management, and sustainable development.
Year: The year of data collection (2020-2024).
Month: The month of data collection (January to December).
Avg_Temp (°C): Average temperature in Celsius.
Max_Temp (°C): Maximum temperature in Celsius.
Min_Temp (°C): Minimum temperature in Celsius.
Precipitation (mm): Precipitation amount in millimeters.
Humidity (%): Relative humidity in percentage.
Wind_Speed (m/s): Wind speed in meters per second.
Solar_Irradiance (W/m²): Solar irradiance in watts per square meter.
Cloud_Cover (%): Cloud cover percentage.
CO2_Concentration (ppm): Carbon dioxide concentration in parts per million.
Latitude: Latitude coordinates of the location.
Longitude: Longitude coordinates of the location.
Altitude (m): Altitude above sea level in meters.
Proximity_to_Water (km): Distance to the nearest water body in kilometers.
Urbanization_Index: Index representing urbanization level.
Vegetation_Index: Index representing vegetation coverage.
ENSO_Index: El Niño Southern Oscillation index.
Particulate_Matter (µg/m³): Particulate matter concentration in micrograms per cubic meter.
Sea_Surface_Temp (°C): Sea surface temperature in Celsius.
CREATE TABLE climate_change_dataset (
"year" VARCHAR,
"month" VARCHAR,
"avg_temp_c" DOUBLE -- Avg Temp (°C),
"max_temp_c" VARCHAR -- Max Temp (°C),
"min_temp_c" VARCHAR -- Min Temp (°C),
"precipitation_mm" VARCHAR -- Precipitation (mm),
"humidity" VARCHAR -- Humidity (%),
"wind_speed_m_s" VARCHAR -- Wind Speed (m/s),
"solar_irradiance_w_m" VARCHAR -- Solar Irradiance (W/m²),
"cloud_cover" VARCHAR -- Cloud Cover (%),
"co2_concentration_ppm" DOUBLE -- CO2 Concentration (ppm),
"latitude" VARCHAR,
"longitude" VARCHAR,
"altitude_m" VARCHAR -- Altitude (m),
"proximity_to_water_km" VARCHAR -- Proximity To Water (km),
"urbanization_index" DOUBLE,
"vegetation_index" VARCHAR,
"enso_index" VARCHAR,
"particulate_matter_g_m" VARCHAR -- Particulate Matter (µg/m³),
"sea_surface_temp_c" VARCHAR -- Sea Surface Temp (°C)
);
Anyone who has the link will be able to view this.