California Megaflood Explorer
California Megaflood Explorer
The Great Flood of 1861–62 · ARkStorm scenarios

When the Central Valley became a sea

For about 45 days from Christmas Eve 1861, storm after storm hit California. San Francisco got 24.36 in of rain in January 1862, a month never matched since, and the Central Valley went under water for 250 to 300 miles. Below, the 1862 reports are pinned to today's state, with the flood an 1862-size storm would cause now and what a warmer ARkStorm adds.

Click a pin for its 1862 report, or anywhere else for the scenario's reading. Zoom in for streets.
Loading imagery, terrain and reports (about 4 MB)…
Water depth
Major flood river
Levee protection under 100-yr → 1,000-yr+, grey not rated
Dam rated high risk or poor todayOther major dam
1862 report with a rain total
1862 flood or damage report
USGS ARkStorm flood areas, when outlined

A scenario explorer for history and planning, not a forecast or an official flood map. For a property's flood risk, see FEMA's Flood Map Service Center and Cal OES MyHazards.

The winter in numbers

Most of these are estimates made at the time, amid cut telegraph lines and impassable roads. Each one names its source.

~45 daysof storms from Christmas Eve 1861Engstrom 1996; USGS
250–300 miof Central Valley under water, at least 20 mi wide: 5,000 to 6,000 sq miBrewer, Jan 19, 1862
24.36 inof rain in San Francisco in January 1862, still the city's wettest monthggweather.com
~200,000cattle drowned, a quarter of the state's herdDettinger and Ingram 2013
A thirdof the state's taxable property expected off the tax rollBrewer, Mar 9, 1862
$50–100 millionin property losses, in 1862 dollarsBrewer, Mar 9, 1862

No reliable death toll exists. California had about 380,000 people in the 1860 census and has about 39 million now.

The rivers that flood

California's 28 largest flood rivers, with what each did in 1862 and how much land the model floods along it. Land is counted for river and lake flooding within about 7 miles of each river. Select Map to see a river.

ARkStorm 1.0 (100%)ARkStorm 2.0, late century (145%)1862, as reported (150%)
RiverIn 1862Land flooded along it, sq miARkStorm 2.0: late century vs today
Working out each river's flooding…

Lines: USGS NHDPlus main stems, via the NLDI service. Runoff changes: Huang and Swain 2022, peak runoff by subregion. Flooded land: this site's model.

Levees and what they protect

Every California levee system in the U.S. Army Corps of Engineers' National Levee Database, with the people and property behind it and the flood it is rated to hold back. On the map, levees are colored by protection level; zoom in for the figures, or click a protected area.

…Loading the National Levee Database

People behind levees, by protection level

Protection level is the flood a levee is rated to hold back: a 1-in-100-year levee has a 1% chance of being overtopped in any year.
Source: USACE National Levee Database, people at risk per levee system. Where leveed areas overlap, some people are counted twice.

Reading the levee layer

  • The rating is the chance water rises over the levee. Levees can also breach before they are overtopped, so the rating is a best case.
  • ARkStorm 1.0's flooding "overwhelms the state's flood-protection system, which is typically designed to resist 100- to 200-year runoffs" (USGS, Porter et al. 2011).
  • The flood on this map follows the USGS ARkStorm map, which puts water inside many leveed areas. It does not model each levee's height, so water drawn behind a levee is the scenario's assumption that the storm tops or breaks it.
  • "Not rated" means the database gives no overtopping estimate, not that the levee is weak.
Levee systemProtectionPeoplePropertyFEMA statusModel flooding inside, sq mi
1862 · late century
Loading…

What the levee record shows

    Source: USACE National Levee Database (public leveed areas, levee alignments and system records), downloaded October 2026. The 30 systems with the most people are listed; every system is on the map.

    Dams in a megaflood

    ARkStorm 1.0 expected California's dams to hold, with "minor spillway damage" at worst. Then Oroville's spillways failed in a far smaller storm in 2017. These are the big flood-control reservoirs and the dams the Army Corps and state inspectors flag.

    DamRisk or conditionHeight, ftStorage, acre-ftBuiltWhy it matters

    Sources: USACE National Inventory of Dams (records and Corps risk summaries, October 2026); Masters, Yale Climate Connections, Jan 2023; Porter et al. 2011. Corps risk classes (DSAC) run from 1, very high urgency, to 5, normal; state-regulated dams carry a condition rating instead. Federal Bureau of Reclamation dams publish neither.

    How the winter unfolded

    From the first rain in November 1861 to the raised streets of the 1870s. Select Map on any line to fly to the place.

      Megafloods before 1862

      Sediment in the ocean floor, marshes, lakes and canyons keeps a record of floods long before anyone wrote them down. Six California records from the last 2,000 years.

      California megafloods in the geologic record, AD 1 to today

      Dots are dated flood layers; bars are age ranges. Hover a mark for its source.

      The rainfall record

      San Francisco has the only continuous gauge record that spans the flood: Thomas Tennent's readings, carried on in today's downtown series. Everywhere else the numbers come from letters, newspapers and later estimates, graded below.

      San Francisco rain by season, 1849–50 to 2025–26

      Inches, July through June. 1861–62 is still the wettest of 177 seasons.
      The ten wettest seasons as a table
      SeasonRain, inJanuary, in
      Source: Jan Null, ggweather.com San Francisco monthly rainfall, updated through June 2026.

      1861–62 month by month

      San Francisco, inches. Ticks show each month's average.
      1861–62Average, 1849–2026
      Source: ggweather.com. January 1862 alone (24.36 in) beat the next two whole seasons combined (23.82 in).
      Gaugea measured seriesReportwritten at the time or published since, method not knownEstimatereconstructed afterwardsDisputedconflicts with another source or cannot be traced
      PlaceRainPeriodGradeNotesSource

      Research on the flood

      From Brewer's letters to sediment cores and climate-model storms. Each entry says what that study adds.

      ARkStorm 1.0, ARkStorm 2.0 and the future

      The Great Flood is history. ARkStorm 1.0 is the USGS planning scenario built to rival it. ARkStorm 2.0 runs the same kind of month-long storm sequence through a climate model, once in today's climate and once in a much warmer one.

      Working out the scenarios on this map…

      Great Flood, 1861–62ARkStorm 1.0 (USGS, 2010–11)ARkStorm 2.0: ARkHist, today's climateARkStorm 2.0: ARkFuture, 2070s
      What it isA real winter, known from letters, newspapers, one city gauge and sedimentA planning scenario worked through by 117 scientists, engineers and plannersA storm sequence from a climate model run for about 1996–2005, re-run at 3 kmThe same, for 2071–80 under high emissions (RCP8.5)
      LengthAbout 45 days of storms23 days30 days30 days
      Built from—The January 1969 and February 1986 storms, run back to backThe wettest 30-day spells in a 40-member climate-model ensemble (CESM1-LENS), downscaled with the WRF weather model
      Rain24.36 in in January at San Francisco. Over 2,500 mm (100 in) reported at Sierra sites in about 40 daysUp to 10 ft in places. Many places past their 500- to 1,000-year totalsOver 500 mm (20 in) widely and 1,000 mm (40 in) in the Sierra. Peak about 2,150 mm (85 in)About 45% more statewide, up to 80% more locally. Peak about 3,200 mm (126 in)
      Snow lineWarm rain melted snow up to about 8,000 ft—Freezing level about 1,940 m (6,360 ft)About 2,230 m (7,320 ft). Rain instead of snow from 1,200 to 2,000 m (3,900–6,600 ft)
      RunoffSanta Ana River about 318,000 cfs, three times its 1938 peakOverwhelms a flood system built for 100- to 200-year floodsBaseline. Runoff is 19% of the rainPeak runoff more than doubles statewide, up 200–400% from the Sierra. 29% of the rain runs off
      Pacific backdropNot an El Niño winter—Weak El Niño (+0.56 °C). All eight of the model's biggest month-long storms came in El Niño yearsStrong El Niño (+1.48 °C)
      WindGales blew down barns60 mph widely, up to 125 mph in places—
      LossesNo death count. A quarter of the cattle. A third of the tax rollAbout $725 billion: nearly $400 billion of property, $325 billion of business interruption. Nearly $1 trillion in 2022 dollars. 1.5 million people evacuatedNot yet estimated. Huang and Swain's paper is the first part of ARkStorm 2.0
      How oftenFloods this size: 5 to 7 times a millenniumAbout as likely in a year as a severe Southern California earthquakeAbout a 90- to 100-year event in the 1995–2005 climate, already about twice as likely as a century agoLonger than 400 years in that climate. By about 2060 on high emissions, a formerly 200-year event about 3 times a century
      On this mapThe 1862, as reported preset (150%), sized to Brewer's 5,000–6,000 sq mi of valley under waterThe ARkStorm 1.0 preset (100%)The same 100%The late century preset (145%)

      What ARkStorm 1.0 would do, sector by sector

      How the late-century storm differs

      ARkFuture compared with ARkHist, percent increase.
      Source: Huang and Swain 2022, Science Advances. Sierra Nevada peak runoff is given as a range.

      The odds are rising

      Chance in any year of a month-long storm sequence this size, in the climate model.
      ARkHist size (about 100-year in 1920)Formerly 200-year size
      Source: Huang and Swain 2022. Percentages computed from the paper's increases (105% and 374%; 234% and 683%) on 1% and 0.5% baselines. 2060 assumes high emissions.

      Sources: Porter et al. 2011 (USGS Open-File Report 2010-1312); Huang and Swain 2022; Dettinger and Ingram 2013; Dettinger et al. 2012; Brewer; NWS.

      Counties with the most land under water

      For the scenario set on the map. Change the storm or the tide and this table follows.

      CountyFlooded, sq miShare of county landMostly from

      How the map is built

      The flood model is the same one behind the earlier California Megaflood Map. Only the basemap and the reports are new.

      The flood

      • 1862, as reported is the same model at 150%, the size at which the Central Valley floor floods about 5,600 sq mi, matching Brewer's estimate of 5,000 to 6,000. The USGS kept ARkStorm 1.0 smaller than 1862, and its map floods about 4,100.
      • At 100%, river flooding follows the USGS "Hypothetical ARkStorm Flood Areas" map, digitized onto 0.3-mile cells. Soft edges are filled where ground within 0.6 miles lies a foot or more below the mapped water.
      • Depth stays within each USGS class (under 3 ft, 3–10 ft, 10–20 ft), lower ground deeper.
      • Smaller and larger storms scale each river's stage from a terrain model with December–January normal rain. Past about 3 ft above the mapped edge, water spreads, losing 2 ft per mile.
      • Warmer storms: lowland flow rises with rain to the 1.58 power, the ratio ARkStorm 2.0 reports, and up to 3.7 for rivers fed from above 5,000 ft.
      • Coast and Bay: held at one fixed winter high-water level in every scenario, so the storm slider changes river flooding only. Low ground behind levees is held dry to 4.5 ft above the high-tide line.

      Where it is weak

      • The USGS source map is about 1.2 miles per pixel, so flood edges are good to a mile or two.
      • The USGS map is a scenario and smaller than 1862: about 4,100 sq mi of Central Valley floor against Brewer's 5,000–6,000.
      • The flood is drawn in 0.3-mile blocks, softened. Streets and imagery are far sharper than the water on top of them.
      • No velocity, duration, waves or levee breaches. Depths are class ranges, not surveyed levels.
      • Pins sit at the named place. "Inland sea" pins mark a region, not a point.

      The satellite basemap

      • Aerial photos from the USDA's National Agriculture Imagery Program, served by USGS The National Map. Public domain.
      • Sharpest (about 7 m) over the flood-prone parts of the biggest cities, about 30 m elsewhere in California, coarser outside it.
      • Open ocean from NASA Blue Marble. Bays and large lakes are evened out using Census TIGER water outlines, so photo seams don't show.