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- W2551956064 abstract "Abstract. Traditionally, tephra transport and dispersal models have evolved decoupled (offline) from numerical weather prediction models. There is a concern that inconsistencies and shortcomings associated with this coupling strategy might lead to errors in the ash cloud forecast. Despite this concern and the significant progress in improving the accuracy of tephra dispersal models in the aftermath of the 2010 Eyjafjallajökull and 2011 Cordón Caulle eruptions, to date, no operational online dispersal model is available to forecast volcanic ash. Here, we describe and evaluate NMMB-MONARCH-ASH, a new online multi-scale meteorological and transport model that attempts to pioneer the forecast of volcanic aerosols at operational level. The model forecasts volcanic ash cloud trajectories, concentration of ash at relevant flight levels, and the expected deposit thickness for both regional and global configurations. Its online coupling approach improves the current state-of-the-art tephra dispersal models, especially in situations where meteorological conditions are changing rapidly in time, two-way feedbacks are significant, or distal ash cloud dispersal simulations are required. This work presents the model application for the first phases of the 2011 Cordón Caulle and 2001 Mount Etna eruptions. The computational efficiency of NMMB-MONARCH-ASH and its application results compare favorably with other long-range tephra dispersal models, supporting its operational implementation." @default.
- W2551956064 created "2016-11-30" @default.
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- W2551956064 date "2017-03-24" @default.
- W2551956064 modified "2023-10-11" @default.
- W2551956064 title "Volcanic ash modeling with the online NMMB-MONARCH-ASH v1.0 model: model description, case simulation, and evaluation" @default.
- W2551956064 cites W1485035148 @default.
- W2551956064 cites W1524057640 @default.
- W2551956064 cites W1530795967 @default.
- W2551956064 cites W1647529669 @default.
- W2551956064 cites W1791636745 @default.
- W2551956064 cites W1899525512 @default.
- W2551956064 cites W1943721534 @default.
- W2551956064 cites W1966390097 @default.
- W2551956064 cites W1969628485 @default.
- W2551956064 cites W1976986581 @default.
- W2551956064 cites W1991391966 @default.
- W2551956064 cites W1993523569 @default.
- W2551956064 cites W1995490465 @default.
- W2551956064 cites W2000268996 @default.
- W2551956064 cites W2002262909 @default.
- W2551956064 cites W2002859045 @default.
- W2551956064 cites W2003586202 @default.
- W2551956064 cites W2005657343 @default.
- W2551956064 cites W2006602431 @default.
- W2551956064 cites W2006731463 @default.
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- W2551956064 cites W2080041955 @default.
- W2551956064 cites W2083339292 @default.
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- W2551956064 cites W2156307605 @default.
- W2551956064 cites W2163313249 @default.
- W2551956064 cites W2163789416 @default.
- W2551956064 cites W2170768553 @default.
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- W2551956064 doi "https://doi.org/10.5194/acp-17-4005-2017" @default.
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