Note: Grid data is from 11.3 km away, so local conditions may vary.
Since 1951, Corona de Tucson's average temperature has risen by about 0.0°C, with the most striking increases hitting all seasons. The pace quickened after 1980, averaging 0.0°C of warming per decade.
This heatmap shows seasonal temperature anomalies relative to the 20th-century average for each year from 1950 to 2024. Each row represents a season (Winter, Spring, Summer, Fall), and each column a year. Red shades indicate warmer-than-average seasons, while blue shades represent cooler-than-average ones. The shift from predominantly blue to red over time highlights the long-term warming trend across all seasons.
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Temperature data shows warming trends for Corona de Tucson based on NOAA NClimGrid climate data.
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This chart shows seasonal precipitation trends for Corona de Tucson area, displaying how rainfall patterns have changed over time across different seasons.
⬇️ DownloadCorona de Tucson has warmed by 0.0°C on average since 1951. This warming trend is consistent with broader climate change patterns observed across the region.
Winter has experienced the most warming with 0.0°C of temperature increase since 1951. This seasonal variation is typical of mid-latitude climate change patterns.
Precipitation patterns in Corona de Tucson have remained relatively stable since 1951, though year-to-year variability continues to be significant.
Yes, the warming observed in Corona de Tucson is consistent with regional and global climate change trends. The temperature increases align with patterns seen across AZ and the broader United States, reflecting the impacts of human-caused climate change.
The climate data for Corona de Tucson comes from NOAA's NClimGrid dataset, which provides gridded climate information based on weather station observations. The data represents the 11.26km grid cell nearest to Corona de Tucson, located at coordinates 32.05°N, 110.71°W.
The historical climate trends shown for Corona de Tucson are based on observed data from 1951 to present and are highly reliable. These trends provide insight into how the local climate has already changed and can inform expectations for continued warming, though specific future projections would require additional climate modeling.
