California has always been a land of extremes β droughts, fires, floods. Its climate swings are part of its identity. Scientists have tracked these patterns for over a century.
Using the CESM2 global climate model under the high-emissions SSP5-8.5 scenario, we mapped yearly surface temperatures across California from 2015 through 2025. The model provides gridded data at roughly 1.25Β° resolution β enough to see regional differences between the coast, the Central Valley, and the Sierra Nevada.
But something has shifted. The data no longer look like natural variation around a stable average. They look like a staircase β each warm year becoming the new floor.
When we set 2015 as a baseline β itself already a record-warm drought year β the subsequent decade shows a pattern hard to dismiss as noise. Inland regions warm faster than the coast. The hottest years cluster at the end of the decade. The consequences are already visible: record wildfires, historic heat domes, and a water system strained beyond its design limits.
πΊοΈ Interactive Map
Where Is California Warming?
Each square cell represents the average temperature for an area of 85 x 85 miles. Red = hotter regions Β· Yellow = warm Β· Light = cooler. Colors are fixed across all years (9Β°Cβ26Β°C) so you can compare directly. Drag the slider, hover for exact temps.
π Ten-Year Trend
The Decade at a Glance
Average absolute temperature across all California grid points, 2015β2025. The slider above moves the marker on this chart β see exactly where each year sits. Dot color matches the map scale: darker orange/red = hotter years. Key events annotated.
π Therefore β Why It Matters
Three Ways This Reshapes California
Temperature is not just a number. These shifts compound across every system Californians depend on.
βοΈ The One Thing to Remember
2015 Is No Longer "Hot" β It's Average
In 2015, California broke its all-time temperature record. That year is now our baseline β the coolest point in our decade of data. Seven of the ten subsequent years exceeded it.
This visualization succeeds at showing something a table of numbers cannot: the geography of warming. Inland California bakes while the coast lags behind. The Central Valley β where most of California's food is grown β shows the strongest and most consistent positive anomalies. That spatial pattern matters as much as the trend itself.
π Project Notes
About This Project
We built this visualization using CESM2 SSP5-8.5 climate model output, with 2015 as a baseline year. Temperature anomalies are computed by subtracting each grid cell's 2015 temperature from the corresponding value in each subsequent year. The map uses a D3 Mercator projection hand-tuned to fill the viewport with California, and the trend chart computes the mean anomaly across all ~110 grid cells per year.
We chose California because it offers a regionally compelling story: a state large enough to span multiple climate zones β coast, mountain, desert, farmland β all responding differently to the same warming signal. The side-by-side map and trend chart allow the viewer to connect spatial pattern with temporal trend simultaneously.
Future extensions could use higher-resolution regional data, extend projections beyond 2025, and overlay socioeconomic vulnerability data to show which communities face the greatest compounded risk.