University of Maryland

Satellite Liaison Blog: Hurricane Lala Brings Strong Winds, Heavy Rains to Hawaii

UMD/ESSIC/CISESS GOES-R Satellite Liaison for NWS WPC

Hurricane Lala caused power outages and flooding rains in Hawaii over the weekend after tracking just south of the island chain. The NWS Weather Forecast Office (WFO) in Honolulu began issuing Hurricane Local Statements (HLS) at 1510 UTC 13 August 2026 as a Hurricane Watch was issued for the Big Island. By 0306 UTC 14 August 2026, the Big Island was upgraded to a Hurricane Warning while Tropical Storm Watches expanded, before being upgraded to warnings. The NWS Weather Prediction Center (WPC) began producing Rainfall Forecasts at 1200 UTC 14 August 2026, showing the potential for several inches of rain across the state, especially across eastern-flacing slopes, with parts of the Big Island expected to exceed 2 feet of rainfall.

NWS WPC Rainfall Forecast for Tropical Storm Lala
Figure 1: NWS WPC Rainfall Forecast for Tropical Storm Lala issued at 1200 UTC 14 August valid through 1200 UTC 17 August 2026.

Just prior to reaching hurricane-force at 1900 UTC 15 August 2026, the Tropical Cyclone Winds Algorithm for Synthetic Aperture Radar (SAR) RadarSat Constellation Mission – 2 (RCM-2) Winds captured winds approaching 55-60 knots across in the northern quadrants.

RCM-2 SAR Winds output
Figure 2: RCM-2 SAR Winds output at 1609 UTC 15 August 2026. RADARSAT Constellation Mission Imagery Copyright Government of Canada 2026. RADARSAT is an official mark of the Canadian Space Agency. Credit: NESDIS/STAR

As Hurricane Lala tracked just south of Hawaii, its surge of tropical moisture was transported overhead. The NESDIS/OSPO bTPW output at 0600 UTC 16 August 2026 had PW values exceeding 2″ across much of the state, approaching 2.25″ across the Big Island. The bTPW Anomaly output showed these bTPW values were well-above normal, exceeding 170%.

NESDIS/OSPO bTPW
bTPW Anomaly

Figure 3: NESDIS/OSPO bTPW (left) and bTPW Anomaly (right) output at 0600 UTC 16 August 2026.

Lala weakened back into a tropical storm on 16 August 2026, and a 36.5 GHz GCOM-W/AMSR2 pass at ~2249 UTC indicated an exposed low-level circulation with less intense convection, especially on the southeast side of the circulation. AMSR2 products will be decommissioned and transitioned to AMSR3 on September 2, but 36.5 and 89 GHz AMSR3 microwave imagery bands are ready for AWIPS implementation.

GCOM-W/AMSR2 36.5 GHz pass at 2249 UTC
Figure 4: GCOM-W/AMSR2 36.5 GHz pass at 2249 UTC 16 August 2026. This image was exported from AWIPS, and display files can be shared upon request.

The evolution of Lala can be seen in the GOES-West Full Disk GeoProxy imagery, a combination of GeoColor and Proxyvis (which helps identify low-level clouds over warm waters at night), as the tropical cyclone moved nearly parallel to the south of the state. The repeating rounds of convection that caused flooding rain are easily trackable in the GOES-West Infrared (IR) Band 13 imagery.

 

Figure 5: GOES-West Full Disk GeoProxy imagery from 0000 UTC 15 August – 0000 UTC 17 August 2026. From CIRA
Figure 6: GOES-West Full Disk Band 13 IR imagery from 0000 UTC 15 August – 0000 UTC 17 August 2026. Credit: NESDIS/STAR

Hawaii, Honolulu, and Maui counties all observed wind gusts exceeding hurricane-force, causing power outages. The JPSS/VIIRS Day/Night Band captured the power outages on Hawaii’s Big Island. Comparing two nights with some clear skies, there’s a noticeable reduction in city lights across southern parts of the island from 14 August to 17 August 2026.

PSS/VIIRS Day/Night Band imagery
PSS/VIIRS Day/Night Band imagery
Figure 7: JPSS/VIIRS Day/Night Band imagery at ~1200 UTC 14 August and 17 August 2026. From CIRA

In addition to powerful winds, rains caused instances of flooding such as in Naalehu in the Kau District as homes were swept away by flood waters and a Flash Flood Emergency was issued.

Picture of Christopher Smith

Christopher Smith

Christopher Smith joined ESSIC/CISESS, University of Maryland in 2023 and is the GOES-R Satellite Liaison for the NWS Weather and Ocean Prediction Centers. Smith works to interpret experimental satellite imagery and products, and make such products available to forecasters and the NWS for a route to operations. He trains forecasters how to use satellite imagery in weather forecasting, while also delivering forecaster feedback to satellite developers to maximize meteorological satellite capabilities. Smith is an alumni of the UMD Atmospheric & Oceanic Science (AOSC) Department, and his long-term interests include infusing AI-Satellite Products to increase lead time in decision making for forecasters.