# Highest temperature in LA on Apr 20, 2026?

On Apr 20, 2026

Updated: April 20, 2026

Category: Climate and Weather

Tags: Daily temperature

HTML: /markets/climate-and-weather/daily-temperature/highest-temperature-in-la-on-apr-20-2026/

## Short Answer

**Key takeaway.** Both the **model** and the **market** expect the highest temperature in LA on Apr 20, 2026, to be between 68° and 69°, with no compelling evidence of mispricing.

## Key Claims (January 2026)

**- Neutral ENSO forecast for MAM 2026 suggests near-average temperatures.** April often sees Santa Ana winds, potentially causing significant warming.
   Long-lead ocean models forecast anomalously warm SSTs for Spring 2026.
   Warmer sea surface temperatures correlate with higher Southern California land temperatures.
*   The historical average high for April 20th in Los Angeles is 70°F.

### Why This Matters (GEO)

- AI agents extract claims, not arguments.
- Improves citation probability in summaries and answer cards.
- Enables fact stitching across multiple sources.

## Executive Verdict

**Key takeaway.** **Model** and **market** align at **1%** with 100x payout, reflecting long-range forecasts lacking reliable skill.

### Who Wins and Why

| Outcome | Market | Model | Why |
| --- | --- | --- | --- |
| 72° or above | 9.0% | 8.6% | Market higher by 0.4pp |
| 66° to 67° | 2.0% | 1.9% | Market higher by 0.1pp |
| 70° to 71° | 29.0% | 27.5% | Market higher by 1.5pp |

## Model vs Market

| Outcome | Market Probability | Octagon Model Probability |
| --- | --- | --- |
| 72° or above | 9.0% | 8.6% |
| 66° to 67° | 2.0% | 1.9% |
| 70° to 71° | 29.0% | 27.5% |
| 68° to 69° | 64.0% | 60.0% |
| 64° to 65° | 1.0% | 1.0% |
| 63° or below | 1.0% | 1.0% |

- Expiration: April 21, 2026

## Market Behavior & Price Dynamics

This market has exhibited a sideways price trend, trading within an extremely narrow range between 1.0% and 3.0%. The overall price action has been subdued, indicating a stable consensus among traders. After opening at 2.0%, the contract's price has recently fallen to 1.0%, which represents the lowest price in its trading history. This drop to the bottom of the range is the most significant movement observed in the chart's limited data.

Without any specific news or external context, the price drop from 2.0% to 1.0% appears to be driven purely by market dynamics. This move coincided with a substantial increase in trading volume; the sample data shows a single transaction accounting for nearly half of the market's total volume of 6,504 contracts. Such a large volume spike during a price decline suggests strong conviction from sellers. Throughout its history, the price has failed to break above 3.0%, establishing it as a resistance level, while the 1.0% mark has now become the key support level.

The chart suggests a consistent and strong bearish sentiment. The price has remained anchored at very low probabilities, implying that participants have never believed the event is likely to occur. The recent high-volume move down to the market's floor reinforces this view, indicating that conviction for a "NO" resolution has recently strengthened. The market is pricing this outcome as a long shot with very low probability.

## Significant Price Movements

### Outcome: 66° to 67°

#### 📉 April 20, 2026: 26.0pp drop

Price decreased from 33.0% to 7.0%

**What happened:** No supporting research available for this anomaly.

### Outcome: 68° to 69°

#### 📈 April 19, 2026: 19.0pp spike

Price increased from 28.0% to 47.0%

**What happened:** No supporting research available for this anomaly.

## Contract Snapshot

1.  **YES Resolution:** The market resolves to "Yes" if the highest temperature recorded at Los Angeles Airport, CA, on April 20, 2026, is between 68-69°F. This must be confirmed by the National Weather Service's Climatological Report (Daily).
2.  **NO Resolution:** The market resolves to "No" if the highest temperature for April 20, 2026, falls outside the 68-69°F range, as the event is mutually exclusive.
3.  **Key Dates/Deadlines:** The Last Trading Time is 11:59 PM ET on April 20, 2026. Expiration occurs at the sooner of the first 7:00 or 8:00 AM ET after the data release for April 20, 2026, or one week later.
4.  **Special Settlement Conditions:** The official highest temperature will solely be verified from the linked NWS Climatological Report (Daily), and traders should be cautious with preliminary NWS data due to potential rounding and conversion nuances.

## Market Discussion

The market heavily favors the highest temperature in LA on April 20, 2026, falling between 68-69° (63% probability), with some traders advocating for this range as a consistent daily play. However, a notable contingent is betting on higher temperatures, expecting 70-71° (25%) or even 72° or above (10%), driven by anticipation of a warmer afternoon. There is also some discussion clarifying that the market resolves based on the forecasted high from the NWS Climatological Report, not the current temperature or other weather sources.

## Market Data

| Contract | Yes Bid | Yes Ask | Last Price | Volume | Open Interest |
| --- | --- | --- | --- | --- | --- |
| 64° to 65° | 0% | 1% | 1% | $9,086.83 | $7,169.8 |
| 66° to 67° | 2% | 3% | 2% | $26,343.97 | $12,038.94 |
| 68° to 69° | 64% | 65% | 64% | $19,287.26 | $13,757.4 |
| 70° to 71° | 29% | 31% | 29% | $21,536.55 | $12,583.32 |
| 63° or below | 0% | 1% | 1% | $6,504.32 | $5,629.32 |
| 72° or above | 9% | 10% | 9% | $35,908.19 | $21,717.2 |

## What are the 2026 ENSO forecast challenges and LA temperature links?

ENSO Forecast Reliability Horizon | March-April-May 2026 beyond typical reliable skill horizon (12-13 months) [[^]](https://www.cpc.ncep.noaa.gov/products/NMME/current/plume.html) |
LA Average High Temperature (April 20) | Approximately 70°F (average low 52°F) [[^]](https://www.extremeweatherwatch.com/cities/los-angeles/day/april-20) |
ENSO Impact on LA April Temperatures | Strong El Niño: near to slightly above average; Strong La Niña: near to slightly below average [[^]](https://psl.noaa.gov/enso/enso.plotcomp.html) |

**Long-range Niño 3.4 forecasts for 2026 lack reliable skill**

Long-range Niño 3.4 forecasts for 2026 lack reliable skill. Projections for the Niño 3.4 sea surface temperature anomaly for March-April-May (MAM) 2026 fall significantly beyond the reliable skill horizon of current seasonal forecast models, which typically provide actionable projections out to about 12-13 months [[^]](https://www.cpc.ncep.noaa.gov/products/NMME/current/plume.html). Due to the increasing uncertainty at this extended lead time, specific, distinct anomaly projections from sources like the North American Multi-**Model** Ensemble (NMME) are generally not available for MAM 2026, or they trend towards climatological averages, indicating neutral conditions [[^]](https://www.cpc.ncep.noaa.gov/products/NMME/current/plume.html). Consequently, the most reliable forecast at such a range often defaults to near-neutral conditions, reflecting the statistical tendency for ENSO events to dissipate or become less predictable further in the future [[^]](https://www.cpc.ncep.noaa.gov/products/analysis_monitoring/enso_advisory/ensodisc.shtml).

Los Angeles April temperatures vary with historical ENSO phases. Historically, Los Angeles experiences an average high temperature of approximately 70°F and an average low of about 52°F on April 20 [[^]](https://www.extremeweatherwatch.com/cities/los-angeles/day/april-20). Composite analyses reveal general patterns for Los Angeles April temperatures during different ENSO phases [[^]](https://psl.noaa.gov/enso/enso.plotcomp.html). During Strong El Niño phases in April, temperatures in Southern California, including Los Angeles, tend to be near to slightly above the long-term average. Conversely, Strong La Niña phases during April are typically associated with temperatures that are near to slightly below the long-term average for the region. Neutral ENSO conditions generally result in April temperatures closely aligning with the long-term average, showing minimal deviation [[^]](https://psl.noaa.gov/enso/enso.plotcomp.html).

## Is Downtown Los Angeles' April Temperature Trend Available?

Official Weather Station ID | USW00093134 (USC0045115) [[^]](https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:USW00093134/detail) |
Analysis Period | April 15-21 since 1980 [[^]](https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:USW00093134/detail) |
Primary Data Source | NCEI's GHCNd database [[^]](https://www.ncei.noaa.gov/products/Land-based-station/global-historical-climatology-network-daily), [[^]](https://www1.ncdc.noaa.gov/pub/data/ghcn/daily/) |

**The specific temperature trend for Downtown LA is not directly available**

The specific temperature trend for Downtown LA is not directly available. The precise linear temperature trend for daily maximum temperatures during the third week of April (April 15-21) at the Downtown Los Angeles weather station (USC0045115/USW00093134) since 1980, including its standard deviation, is not pre-calculated or found within the provided web research. Determining this precise trend would require specific data analysis steps [[^]](https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:USW00093134/detail).

Raw daily maximum temperature data is publicly accessible for analysis. Although the trend is not pre-calculated, the necessary raw daily maximum temperature data for such an analysis is available through public climate databases. The official Downtown Los Angeles weather station, identified as USW00093134, records daily climate data, including maximum temperatures [[^]](https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:USW00093134/detail). This data forms part of the Global Historical Climatology Network daily (GHCNd) dataset, which the National Centers for Environmental Information (NCEI) maintains and makes publicly accessible for research and analysis [[^]](https://www.ncei.noaa.gov/products/Land-based-station/global-historical-climatology-network-daily), [[^]](https://www1.ncdc.noaa.gov/pub/data/ghcn/daily/), [[^]](https://www1.ncdc.noaa.gov/pub/data/ghcn/daily/readme.txt). Calculating the trend would involve retrieving and filtering this data from 1980 onwards for the specified April dates, followed by a linear regression analysis [[^]](https://www.ncei.noaa.gov/products/Land-based-station/global-historical-climatology-network-daily), [[^]](https://www1.ncdc.noaa.gov/pub/data/ghcn/daily/readme.txt).

## How Do SST Anomalies Affect Downtown LA Temperatures in Spring 2026?

Historical SST-Land Temp Correlation | Warm SSTs in summer associated with warmer land temperatures in Southern California coastal zone [[^]](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023JD040188) |
Spring 2026 SST Forecast | Above-average or anomalously warm sea surface temperatures in Southern California Bight [[^]](https://www.spearfactor.com/post/2026-southern-california-fishing-forecast-marine-heatwave-el-nino) |
Driving Factors for Forecast | Persistent marine heatwave; potential moderate El Niño event [[^]](https://www.spearfactor.com/post/2026-southern-california-fishing-forecast-marine-heatwave-el-nino) |

**Direct mid-April SST correlation with Downtown LA temperatures is not explicit**

Direct mid-April SST correlation with Downtown LA temperatures is not explicit. While direct research specifically linking mid-April sea surface temperature (SST) anomalies in the Southern California Bight to daily maximum temperatures in Downtown Los Angeles is not explicitly detailed in available sources, studies do indicate a broader connection. During summer months (June-August), anomalously warm SSTs in the Southern California coastal zone are associated with anomalously warmer daily maximum land temperatures in the same region [[^]](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023JD040188). This positive correlation is largely attributed to the weakening of the marine layer effect and a reduction in extensive stratus clouds when ocean surface temperatures are warmer than average [[^]](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023JD040188).

Ocean models forecast anomalously warm sea surface temperatures for Spring 2026. Long-lead ocean models project above-average, or anomalously warm, sea surface temperatures for the Southern California Bight throughout Spring 2026 [[^]](https://www.spearfactor.com/post/2026-southern-california-fishing-forecast-marine-heatwave-el-nino). These projections indicate a high **probability** of anomalously warm conditions persisting in the California Current System, particularly within the Southern California Bight [[^]](https://arxiv.org/abs/2601.01864). This trend is linked to a persistent marine heatwave, with some models suggesting it could be exacerbated by a moderate El Niño event [[^]](https://www.spearfactor.com/post/2026-southern-california-fishing-forecast-marine-heatwave-el-nino). Furthermore, observational data from early April 2026 has already reported record high ocean temperatures off Southern California, further indicating a potentially prolonged marine heatwave extending through spring and summer [[^]](https://www.guardian.co.uk/us-news/2026/apr/04/high-ocean-temperatures-california-marine-heatwave).

## What Influences Santa Ana Wind Events in Southern California?

Primary Cause of SAWs | Strong, stationary high-pressure ridges over Great Basin/Southwest U.S. [[^]](https://en.wikipedia.org/wiki/Santa_Ana_winds) |
April SAW Frequency/Duration | 1.3 events/month, average 1.6 days/event [[^]](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2016GL067887) |
La Niña Impact on SAWs | Increase in strong and hot SAW events [[^]](https://link.springer.com/article/10.1007/s00382-021-05802-z?error=cookies_not_supported&code=152c2be8-ac79-4e7f-ad23-8b787de74745) |

**Strong high-pressure ridges drive Santa Ana winds and warming in Los Angeles**

Strong high-pressure ridges drive Santa Ana winds and warming in Los Angeles. Stationary high-pressure ridges over the Great Basin or intermountain west are the primary meteorological drivers of Santa Ana wind (SAW) events in Southern California [[^]](https://en.wikipedia.org/wiki/Santa_Ana_winds). These systems create a pressure gradient, forcing air from inland desert regions through mountain passes and canyons towards the coast. As the air descends, it undergoes adiabatic warming and drying, resulting in strong offshore winds that bring elevated temperatures and reduced humidity to coastal areas like Los Angeles [[^]](https://en.wikipedia.org/wiki/Santa_Ana_winds). While SAWs are most frequent in fall and winter, peaking in December, April still experiences an average of 1.3 SAW events per month [[^]](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2016GL067887). The average duration of a SAW event is 1.6 days, with strong events typically lasting an average of 1.25 days [[^]](https://journals.ametsoc.org/view/journals/wefo/34/2/waf-d-18-0160_1.xml). These hot, dry winds are known to cause significant warming in Los Angeles and are also a key driver of fire weather in the region, particularly in spring [[^]](https://link.springer.com/article/10.1007/s00382-021-05802-z?error=cookies_not_supported&code=152c2be8-ac79-4e7f-ad23-8b787de74745).

ENSO weakly influences Santa Ana wind event frequency and duration. The frequency and duration of these high-pressure ridges and associated Santa Ana wind events exhibit a dependence on the prevailing ENSO state, although this influence is generally considered weak [[^]](https://link.springer.com/article/10.1007/s00382-021-05802-z?error=cookies_not_supported&code=152c2be8-ac79-4e7f-ad23-8b787de74745). During El Niño conditions, there is typically a weak decrease in the occurrence of strong and hot SAW events [[^]](https://link.springer.com/article/10.1007/s00382-021-05802-z?error=cookies_not_supported&code=152c2be8-ac79-4e7f-ad23-8b787de74745). This correlates with El Niño generally leading to a weaker and southward-shifted subtropical ridge over the eastern North Pacific and Western North America, particularly during autumn and early winter [[^]](https://link.springer.com/article/10.1007/s00382-025-07961-9). Conversely, La Niña conditions are associated with an increase in strong and hot SAW events [[^]](https://link.springer.com/article/10.1007/s00382-021-05802-z?error=cookies_not_supported&code=152c2be8-ac79-4e7f-ad23-8b787de74745). La Niña enhances the intensity and expands the spatial extent of these ridges over Western North America, particularly during autumn and early winter [[^]](https://link.springer.com/article/10.1007/s00382-025-07961-9). While some studies note that ENSO's influence on SAW frequency and duration is most evident during cold season months (November–March) [[^]](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2016GL067887), the modulation of strong, hot SAW events by El Niño and La Niña generally holds [[^]](https://link.springer.com/article/10.1007/s00382-021-05802-z?error=cookies_not_supported&code=152c2be8-ac79-4e7f-ad23-8b787de74745).

## When Will Long-Range Climate Forecasts for April 2026 Be Released?

NOAA CPC 3-month lead forecast (AMJ 2026) | January 16, 2026 [[^]](http://www.cpc.ncep.noaa.gov/products/predictions/schedule.php) |
NOAA CPC 6-month lead forecast (AMJ 2026) | October 16, 2025 [[^]](http://www.cpc.ncep.noaa.gov/products/predictions/schedule.php) |
ECMWF SEAS5 3-month lead forecast (April 2026) | Around January 8, 2026 [[^]](https://confluence.ecmwf.int/display/FCST/Implementation+of+Seasonal+Forecast+SEAS5) |

**NOAA's CPC releases specific long-range seasonal outlooks months in advance**

NOAA's CPC releases specific long-range seasonal outlooks months in advance. The Climate Prediction Center has established a schedule for its seasonal outlooks, providing key dates for **market** repricing. For the April-May-June (AMJ) 2026 period, the forecast with a three-month lead time is expected to be released on January 16, 2026 [[^]](http://www.cpc.ncep.noaa.gov/products/predictions/schedule.php). An earlier six-month lead forecast covering the same AMJ 2026 period is slated for release on October 16, 2025 [[^]](http://www.cpc.ncep.noaa.gov/products/predictions/schedule.php).

ECMWF's SEAS5 forecasts are typically issued around the eighth of each month. The European Centre for Medium-Range Weather Forecasts generally publishes its SEAS5 seasonal forecasts early in the month. To provide an outlook for April 2026 with a three-month lead time, the relevant SEAS5 forecast would be the one issued in January 2026, becoming available around January 8, 2026 [[^]](https://confluence.ecmwf.int/display/FCST/Implementation+of+Seasonal+Forecast+SEAS5). Similarly, for a six-month lead time covering April 2026, the pertinent forecast would be issued in October 2025, with availability anticipated around October 8, 2025 [[^]](https://confluence.ecmwf.int/display/FCST/Implementation+of+Seasonal+Forecast+SEAS5), as its projection range extends through April 2026.

## What Could Change the Odds

**Key takeaway.** Catalyst analysis unavailable.

## Key Dates & Catalysts

- **Expiration:** April 27, 2026
- **Closes:** April 21, 2026

## Decision-Flipping Events

- Catalyst analysis unavailable.

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## Historical Resolutions

**Historical Resolutions:** 20 markets in this series

**Outcomes:** 3 resolved YES, 17 resolved NO

**Recent resolutions:**

- KXHIGHLAX-26APR19-T75: NO (Apr 20, 2026)
- KXHIGHLAX-26APR19-T68: NO (Apr 20, 2026)
- KXHIGHLAX-26APR19-B74.5: NO (Apr 20, 2026)
- KXHIGHLAX-26APR19-B72.5: YES (Apr 20, 2026)
- KXHIGHLAX-26APR19-B70.5: NO (Apr 20, 2026)

## Disclaimer

This content is for informational and educational purposes only and does not constitute financial, investment, legal, or trading advice.
Prediction markets involve risk of loss. Past performance does not guarantee future results.
We are not affiliated with Kalshi or any prediction market platform. Market data may be delayed or incomplete.

### Data Sources & Model Transparency

**Data Sources:** Octagon Deep Research aggregates information from multiple sources including news, filings, and market data.

**Freshness:** Analysis is generated periodically and may not reflect the latest developments. Verify critical information from primary sources.