California residents are anticipating a wetter-than-normal winter, according to the latest predictions from The Old Farmer's Almanac and corroborating meteorological data. The almanac's 2026-2027 winter forecast indicates a possibility of "sharp contrasts across the country," with the "Bear State" expected to experience frequent storm systems and heavy rainfall, particularly in Southern California.
The predicted weather patterns could extend beyond California, affecting the Desert Southwest and the southern U.S. These regions may see frequent storms, muddy conditions, and occasional cold air surges. Similarly, the southern Rockies could experience colder temperatures with sleet, freezing rain, and heavy, wet snow. The forecast suggests that areas eastward through Texas, the Gulf Coast, and the Southeast may encounter similar unpredictable weather.
The Old Farmer's Almanac, which has been publishing weather predictions since 1818, uses a combination of traditional methods incorporating solar activity, lunar influences, and historical patterns, augmented by modern forecasting tools such as satellite observations, computer modeling, and meteorological data. The predictions were released in early August.
Super El Niño Influence
Adding to the forecast of increased precipitation is the potential for a strong Super El Niño event. El Niño is characterized by warmer-than-normal ocean temperatures in the central and eastern tropical Pacific, which can significantly shift global weather patterns. Experts are warning of an above-average snowfall season for California and Nevada as a result.
The heaviest storm cycles are anticipated to intensify shortly after the new year. California's mountain ranges are expected to be particularly impacted by this active storm track. Data from OpenSnow's 2026–2027 Winter Forecast Preview highlights the Central Sierra region as having the highest statistical probability for well-above-average snow accumulation. Tourist destinations such as Mammoth Mountain and China Peak are positioned to be in the path of these strong forecast signals.