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Real-time lava flow forecasting during the 2022 Mauna Loa eruption response

December 5, 2024

On November 27, 2022, Mauna Loa (Hawai‘i) erupted for the first time in 38 years, initially producing lava flows that covered the floor of its summit caldera, Moku‘āweoweo. Over the first 12 h following the summit eruption, four main fissures opened on Mauna Loa’s Northeast Rift Zone, with “fissure 3” quickly becoming the dominant source of lava flows. For the next 12 days, fissure 3 produced a 19-km-long lava flow to the north, crossing the Mauna Loa Weather Observatory access road and coming within 2.8 km of inundating the Daniel K. Inouye Highway (Saddle Road). Within 40 min of fissure 3 opening, inundation modeling efforts had begun. For the duration of the eruption, the computational fluid dynamics model Lava2d was run in real time, using flow front locations and other field observations to make sequential forecast improvements, eventually producing a set of models which accurately predicted the routing and arrival times of lava from fissure 3. These models were used to inform timing estimates of possible future inundation of the Saddle Road. As the eruption progressed, almost 4000 Lava2d models were made using high-performance computing resources, providing critical information on uncertainty in multi-week forecasts. To our knowledge, this was the first ever real-time physics-based ensemble lava flow modeling and forecasting effort. Here, we present a chronology of these real-time efforts, focusing on the successes and limitations of this approach.

Publication Year 2024
Title Real-time lava flow forecasting during the 2022 Mauna Loa eruption response
DOI 10.1007/s00445-024-01783-z
Authors David Matthew Hyman, Hannah R. Dietterich, Elisabeth Gallant, Kendra J. Lynn, Michael H. Zoeller, Matthew R. Patrick, Jim Kauahikaua, Frank Trusdell, Ken Hon, Roger P. Denlinger, N. Leon Foks, R. Lopaka Lee, Jeff T. Falgout, Janice M. Gordon
Publication Type Article
Publication Subtype Journal Article
Series Title Bulletin of Volcanology
Index ID 70276497
Record Source USGS Publications Warehouse
USGS Organization Science Analytics and Synthesis
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