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The meteorological fields of the JMA-GSM forecast with an initial time of 21JST October 7, 2016 are used.
The outputs of the assimilation are global meteorological fields of daily temperature, geopotential height, and wind components at pressure levels from the surface up to 0.1 hPa.
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Subsequently, from storm surge simulations for Typhoon Songda, it is found that using the deformed and asymmetric meteorological field of typhoon structures agrees well with observations.
This approach combines time-dependant meteorological fields for the region, a spectrum of volcanological parameters (erupted mass, mass eruption rate (MER), column height and total grainsize distribution) and over 100 simulations of the ash dispersal model, FALL3D.
The JMA/MRI non-hydrostatic meteorological model (NHM; Saito et al. 2007) was used to simulate the meteorological field to calculate the transport and deposition processes of radionuclides using RAQM2.
This new feature allows the GEOS-5 DAS to produce, together with the conventional analysis of meteorological fields, a three-dimensional analysis of dust distribution that is (1) consistent with meteorology at all times and (2) constantly constrained by MODIS observations.
10,000 years of meteorological fields at daily resolution are generated and used as input to the subsequent models, yielding 10,000 years of spatially consistent river discharge series, inundation patterns and damage values.
Given a series of length N, and a maximum lag M, the eigenvectors are data-adaptive basis functions for the representation of the series and are called empirical orthogonal functions (EOFs), by analogy with the PC analysis of meteorological fields.
The methodology of Costa et al. (2012) used here assumes that this collection of modern meteorological fields can statistically represent a proxy for those at the time of the Tambora F2 eruption (~200 years ago).
Jiang and Ding theoretically proved that SVD was generally applicable to diagnostic analysis of the temporal and spatial distribution of coupled meteorological fields [ 21].
It was reported that inclusion of AOD and meteorological fields can significantly improve a model's predictability of surface PM2.5 concentrations [ 19, 21].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com