Mr. Brown's Science Labs

El Niño & La Niña

Ocean–Atmosphere Coupling, Hurricane Seasons, U.S. Climate, and the Economics of Fisheries

A college-level investigation of the El Niño–Southern Oscillation. You will model the Walker Circulation, simulate Atlantic hurricane seasons under each ENSO phase, map North American winter teleconnections, and analyze the collapse and recovery of the Peruvian anchoveta fishery.

NYS Earth & Space Science • Meteorology / Oceanography / Climate Change Unit

Part 1

Vocabulary of the Coupled Pacific

Click a card to reveal its definition. Only one card stays open at a time, and each card closes automatically after 8 seconds. You may reopen any card as many times as you need.

Matching Practice (8 points)

Click a term on the right, then click the definition on the left that it belongs to.

Reading 1 — The Coupled Pacific

The Walker Circulation and the Oscillation It Supports. Under average conditions, the equatorial Pacific is not thermally symmetric. Persistent easterly trade winds drag warm surface water westward, piling it into the Indo-Pacific Warm Pool near Indonesia, where sea level stands roughly half a meter higher and the surface layer is warmer than 29°C. Because that water is removed from the eastern basin, deeper water rises to replace it along the coast of Peru and Ecuador. This upwelled water is cold and saturated with nitrate and phosphate recycled from decomposing organic matter, and it fuels one of the most productive marine ecosystems on Earth. The boundary between the sun-warmed surface layer and the cold deep ocean — the thermocline — is therefore not horizontal. It lies near 150 meters in the west and shoals to within 40 meters of the surface in the east.

The atmosphere responds to that temperature contrast. Intense convection over the warm pool lifts moist air to the tropopause, releasing latent heat and producing heavy rainfall over Indonesia and northern Australia. That air travels eastward aloft, cools, and subsides over the cool eastern Pacific, where descending air suppresses cloud formation and sustains the coastal deserts of Peru and northern Chile. The sinking branch reinforces surface high pressure, which in turn strengthens the easterly trades. This closed east–west loop is the Walker Circulation, and it is a positive feedback: strong winds maintain the temperature gradient, and the temperature gradient maintains strong winds.

A positive feedback of this kind is powerful but unstable. If the trades weaken even modestly — often triggered by westerly wind bursts in the western Pacific — warm water sloshes eastward as a downwelling Kelvin wave, the thermocline in the east deepens, upwelled water arrives warm instead of cold, the temperature gradient shrinks, and the trades weaken further. The system has entered El Niño. The mirror image, in which the trades intensify and the eastern Pacific becomes anomalously cold, is La Niña. Together these swings comprise the El Niño–Southern Oscillation, or ENSO, which cycles irregularly every two to seven years and is quantified by the Oceanic Niño Index — the three-month running mean sea-surface temperature anomaly in the Niño 3.4 region. An ONI at or above +0.5°C defines El Niño conditions; an ONI at or below −0.5°C defines La Niña.

Animated Diagram 1 — The Walker Circulation in Motion

Watch air parcels rise over the warm pool, travel eastward aloft, sink over the cool eastern Pacific, and return westward as the trade winds. Switch phases to see the loop move and change strength.

1. According to the reading, the thermocline in the equatorial Pacific slopes because
2. The Walker Circulation is described as a positive feedback because
3. A three-month running mean sea-surface temperature anomaly of −1.3°C in the Niño 3.4 region indicates

Writing in Science — Complete the Sentence

Finish each sentence using evidence from the reading. Write in complete, scientific language.

4. Upwelling along the coast of Peru supports enormous fish populations because…
5. Westerly wind bursts can push the Pacific toward El Niño, so…

Sentence Builder

Click the words in the correct order. Correctly placed words turn green. Click a placed word to send it back.

Part 2

Reading 2 — Wind Shear as a Governor on the Atlantic

Why a Pacific Ocean Signal Controls Atlantic Storms. A tropical cyclone is a heat engine. It draws energy from sea water warmer than about 26.5°C through a depth of roughly 50 meters, converts that latent heat into the kinetic energy of rotating winds, and exhausts the spent air outward near the tropopause. The engine only functions if the vertical column stays aligned. When winds at 200 hPa blow at a very different speed or direction than winds near the surface, the storm is sheared: the warm core is displaced away from the low-level circulation, the release of latent heat no longer sits above the center of rotation, and intensification stalls. Meteorologists call this quantity vertical wind shear, and across the Atlantic Main Development Region — the belt from West Africa to the Caribbean between 10°N and 20°N — it is the single most reliable seasonal predictor of hurricane activity.

ENSO reaches the Atlantic through this variable. During El Niño, convection shifts thousands of kilometers eastward into the central Pacific. The upper-level outflow from that displaced convection accelerates westerly winds aloft over the Caribbean and tropical Atlantic, while surface winds remain easterly. The difference between the two levels can exceed 20 knots, which is enough to decapitate most developing systems. El Niño seasons therefore tend to be quiet in the Atlantic even when sea-surface temperatures there are warm. During La Niña the opposite occurs: the upper-level westerlies relax, shear over the Main Development Region can fall below 8 knots, and African easterly waves that would otherwise be torn apart are permitted to organize. The 2005, 2010, and 2020 seasons all occurred under neutral-to-La Niña conditions, and 2020 produced thirty named storms.

Animated Diagram 2 — Why Wind Shear Kills a Hurricane

Two developing storms are released at the same moment over equally warm water. The only difference is the vertical wind shear above them. Watch the warm core of each storm.

Low shear keeps the warm core stacked directly above the surface circulation, so latent heat release deepens the low. High shear tilts the column downwind, displaces the warm core, and intensification stalls.
6. Strong vertical wind shear weakens a developing tropical cyclone primarily because it
7. Which statement best explains how an El Niño in the Pacific Ocean reduces hurricane activity in the Atlantic Ocean?
Part 3

Simulation 1 — Drive the Pacific

Move the slider to change the strength of the trade winds. Watch the thermocline, the warm pool, the upwelling zone off Peru, and the Niño 3.4 anomaly respond.

ENSO–Neutral

WEST — Indonesia / Australia EAST — Peru Cross-section of the equatorial Pacific Ocean (not to scale) thermocline
Very WeakAverageVery Strong
0.0Niño 3.4 Anomaly (°C)
80East Thermocline Depth (m)
100Upwelling Index (%)
13Atlantic Shear (kt)
IndonesiaHeaviest Rainfall

Data Table 5 — Recording Your Simulation Observations (4 points)

Run the simulation three times. Slide the trade winds all the way left, then to the middle, then all the way right. Each time, read the panel above and record what you observe.

What you observeLa Niña
(slider far right)
Neutral
(slider centered)
El Niño
(slider far left)
8. Set the trade winds to Very Weak. Which row correctly describes the eastern Pacific under these conditions?
RowThermocline Depth (East)UpwellingNiño 3.4 Anomaly
AShallowStrongNegative
BDeepWeakPositive
CDeepStrongNegative
DShallowWeakPositive
9. As you slide the trade winds from Very Weak toward Very Strong, the Atlantic vertical wind shear readout
10. Place these events in the correct order for the development of El Niño conditions. Select the correct sequence.

1 — Upwelled water off Peru arrives warm instead of cold
2 — Trade winds weaken
3 — The east–west temperature gradient shrinks and the trades weaken further
4 — The thermocline in the eastern Pacific deepens

Reference Table Investigation — Planetary Wind Belts

Open your Earth and Space Sciences Reference Tables to page 19, Model of Generalized Planetary Wind Belts in the Troposphere. Use the model to answer the next three questions.

11. On page 19 of the ESRT, the planetary wind belt shown between 0° and 30° N is labeled the
12. Which row correctly describes the air movement and surface pressure shown on page 19 of the ESRT?
RowLatitudeAir MovementSurface Pressure
A0°DescendingHigh
B30° NDescendingHigh
C60° NDescendingHigh
D90° NRisingLow
13. The trade winds you controlled in the simulation above are the surface branch of which circulation cell shown on page 19 of the ESRT?
Part 4

Data Table 1 — Classifying ENSO Years (4 points)

Use the ONI thresholds (≥ +0.5°C = El Niño, ≤ −0.5°C = La Niña, between = Neutral) to classify each Atlantic hurricane season. Then check your table.

SeasonPeak ONI (°C)Atlantic Named StormsENSO Phase (you classify)

Graph 1 — Oceanic Niño Index vs. Atlantic Named Storms

14. Based on Graph 1, which general relationship exists between the Oceanic Niño Index and the number of Atlantic named storms?
15. The 2019 season had an ONI of +0.5°C but produced 18 named storms. A student claims this observation refutes the relationship shown in Graph 1. Is the student correct?
Part 5

Simulation 2 — Run an Atlantic Hurricane Season

Select an ENSO phase and run the season. The model uses the phase to set vertical wind shear over the Main Development Region, then generates storms. Run each phase at least once and compare the totals.

Season Generator

—MDR Shear (kt)
—Named Storms
—Hurricanes
—Major (Cat 3+)
—ACE Index
Select a phase to generate a season.
16. Compared with an El Niño season, a La Niña season generated by this model produces
17. ACE is a better measure of a season’s destructive potential than a simple storm count because ACE

Graph 2 — 1950–2023 Seasonal Averages by ENSO Phase

18. According to Graph 2, the average number of major hurricanes during La Niña seasons is closest to
19. Which statement is best supported by the data in Graph 2?
Part 6

Simulation 3 — Winter Teleconnections Across the United States

Toggle the ENSO phase and click a region to read its typical winter (December–February) anomaly. Blue shading indicates wetter than normal; orange indicates drier and warmer than normal.

Animated Diagram 3 — Where the Jet Stream Goes

The animation shows the dominant winter storm track for each ENSO phase. Each moving dot is a mid-latitude storm system following the jet.

Data Table 4 — Recording Your Observations (4 points)

Use the animated diagram above. Switch between El Niño Jet and La Niña Jet and watch what happens to each region — the fill color, the storm track, and the sun or rain symbols. Record what you observe for each phase.

RegionEl Niño WinterLa Niña Winter
20. Which row correctly describes the winter pattern shown in the animation?
RowRegionEl Niño WinterLa Niña Winter
APacific NorthwestWetterDrier
BSouthwestWetterDrier
CGulf CoastDrierWetter
DNortheastWetterDrier
21. Compare the two phases. Choose one region from your table whose winter reverses between El Niño and La Niña. Name the region, describe what happens in each phase, and explain the shift in the jet stream that causes the reversal.
Generalized U.S. winter precipitation and temperature anomalies (Dec–Feb) • Albers equal-area projection
Choose a phase, then click a region on the map.
22. During a strong El Niño winter, the southern tier of the United States (Gulf Coast and Southeast) typically experiences
23. A rancher in New Mexico is planning water use for the coming winter. Forecasters announce a strong La Niña. The rancher should most reasonably expect
Part 7

Reading 3 — Anchoveta, Protein, and Price Shocks

The Most Valuable Fish You Have Never Eaten. The Peruvian anchoveta, Engraulis ringens, is a small schooling fish that rarely exceeds twenty centimeters, yet it has supported the largest single-species fishery in human history. The reason is upwelling. Cold water rising along the Peruvian margin carries nitrate to the sunlit surface, phytoplankton bloom in extraordinary densities, and anchoveta — efficient filter feeders that convert plankton directly into flesh — occupy a very short food chain. At the fishery’s peak in 1970, Peruvian vessels landed more than twelve million metric tons in a single year, roughly one-fifth of the global marine catch. Almost none of it reached a dinner plate directly. The fish were reduced to fishmeal and fish oil, then shipped to Europe, North America, and East Asia as protein concentrate for poultry, swine, and later farmed salmon and shrimp.

Then the ocean changed. The severe El Niño of 1972–1973 deepened the thermocline off Peru, so the water pumped upward by the coastal winds came from within the warm layer rather than from the cold, nutrient-rich water below. Primary productivity collapsed, the anchoveta schools contracted into a narrow band of remaining cool water near shore, and the fleet — which had expanded to more than 1,400 vessels — concentrated its effort exactly where the fish were most vulnerable. Landings fell from 12.3 million tons to under 2 million within two years. Roughly 100,000 Peruvian workers in fishing, processing, and shipping lost their livelihoods, and export earnings that had accounted for nearly a third of the nation’s foreign exchange evaporated. Because fishmeal is a globally traded commodity, the shock did not stay in Peru: world fishmeal prices rose sharply, feed manufacturers substituted soybean meal, and soybean prices in the United States more than doubled between 1972 and 1973, raising the cost of chicken and pork for consumers who had never heard of the anchoveta.

The collapse is now understood as a compound event, not a purely natural disaster. El Niño removed the nutrient supply, but sustained overfishing had already reduced the spawning stock and eliminated the older age classes that buffer a population against a bad year. Peru responded over the following decades by building one of the most closely monitored fisheries on Earth: acoustic biomass surveys before each season, a total allowable catch reset twice a year, individual vessel quotas, and immediate closures when juvenile fish exceed a threshold in the catch. During the strong El Niño of 2015–2016 the government canceled an entire fishing season rather than allow the fleet to chase a depleted stock. The decision cost the industry an estimated one billion dollars in a single year and imposed severe hardship on coastal communities, yet the biomass recovered within two seasons. The episode illustrates a difficult principle of resource management: when a climate oscillation removes the productivity that a fishery depends on, the least damaging policy is often the one that hurts most immediately.

Animated Diagram 4 — The Upwelling Pump and the Fishery

The coastal pump always draws water upward from the same depth. What changes is whether that depth sits below the thermocline (cold and nutrient-rich) or inside the warm layer (nutrient-poor). Watch the particles, the bloom, and the fleet.

Data Table 6 — Recording Your Upwelling Observations (4 points)

Use the animated diagram above. Click through La Niña, Neutral, and El Niño and watch the thermocline, the rising particles, the bloom at the surface, and the fleet. Record what you observe in each phase.

What you observeLa NiñaNeutralEl Niño
24. The anchoveta fishery is exceptionally productive primarily because
25. During the 1972–1973 El Niño, upwelling continued off Peru but productivity collapsed. Which statement best explains this?
26. United States consumers were affected by the Peruvian collapse because

Expand the Sentence

27. Bare-bones sentence: “The fishery closed.”
Rewrite this as one detailed scientific sentence that answers When/Where and Why/How.

Sentence Builder

Click the words in the correct order. Correctly placed words turn green.

Part 8

Simulation 4 — The Economics of an Upwelling Fishery

Set the sea-surface temperature anomaly off Peru and observe how the physical ocean propagates through biology, catch, price, revenue, and employment.

Neutral Conditions

−2.0 (strong La Niña)0.0+3.0 (strong El Niño)
100Nutrient Supply (%)
8.5Anchoveta Biomass (Mt)
5.1Allowable Catch (Mt)
160Fishmeal Price ($/t)
816Revenue ($ millions)
100Jobs Index (%)
Move the slider to model a season.
28. As you move the SST anomaly from −2.0°C toward +3.0°C, the fishmeal price rises while revenue falls. Which explanation is best supported by the model?
29. Peru canceled an entire season during the 2015–2016 El Niño at a cost of roughly one billion dollars. Which claim does this decision best support?

Data Table 3 — Peruvian Anchoveta Landings and Revenue (4 points)

Calculate revenue for each year. Revenue ($ millions) = Catch (million metric tons) × Price ($ per metric ton). Round to the nearest whole number.

YearPeak SST Anomaly (°C)Catch (million t)Fishmeal Price ($/t)Revenue ($ millions)

Graph 3 — Anchoveta Catch and Sea-Surface Temperature Anomaly

30. Which year shown in Graph 3 recorded the greatest positive SST anomaly and the lowest catch?
31. A student claims: “El Niño alone caused the anchoveta collapse of the early 1970s.” Which evidence from Reading 3 most directly refutes this claim?

Reference Table Investigation — Surface Ocean Currents

Turn to page 20 of your Earth and Space Sciences Reference Tables, Surface Ocean Currents Model. Pay attention to the key that separates warm currents from cold currents. You will also need page 19 for the last question.

32. On page 20 of the ESRT, the current that flows northward along the west coast of South America is the
33. Which pair of currents on page 20 of the ESRT are both cold currents that flow toward the Equator along the west coast of a continent?
34. A student claims that the surface ocean currents shown on page 20 are driven by the planetary winds shown on page 19. Which evidence from the two pages best supports this claim?
Part 9

Regents-Style Mastery Quiz (5 points)

Five questions are drawn from a bank of twenty. You need 60% or higher to reach mastery. If you do not reach mastery, you may retry with a fresh set of questions.

Final

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