Note: Grid data is from 11.3 km away, so local conditions may vary.
Records dating back to 1951 reveal a 0.0°C rise in Academy Garden's mean temperature, most evident in the all seasons seasons. The post‑1980 period alone has added 0.0°C of heat 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.
⬇️ Download
Temperature data shows warming trends for Academy Garden based on NOAA NClimGrid climate data.
⬇️ Download
This chart shows seasonal precipitation trends for Academy Garden area, displaying how rainfall patterns have changed over time across different seasons.
⬇️ DownloadAcademy Garden 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 Academy Garden have remained relatively stable since 1951, though year-to-year variability continues to be significant.
Yes, the warming observed in Academy Garden is consistent with regional and global climate change trends. The temperature increases align with patterns seen across PA and the broader United States, reflecting the impacts of human-caused climate change.
The climate data for Academy Garden comes from NOAA's NClimGrid dataset, which provides gridded climate information based on weather station observations. The data represents the 11.32km grid cell nearest to Academy Garden, located at coordinates 40.03°N, 74.87°W.
The historical climate trends shown for Academy Garden 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.
