A 3.5-Dimensional Variational Method for Doppler Radar Data Assimilation and Its Application to Phased-Array Radar Observations

<div class="floats-full-page floats-full-page-figure"><h2>Figure 3</h2><div class="floats-full-page-caption"><table>COAMPS domains nested with 54, 18, and 6 km grids.</table></div><div class="floats-full-page-content"><table class="table-group" width="800px"><tr class="fig-image"><td><img alt="797265.fig.003" src="https://static-01.hindawi.com/articles/amete/volume-2010/797265/figures/797265.fig.003.jpg" /></td></tr></table></div></div>

Figure 3 | A 3.5-Dimensional Variational Method for Doppler Radar Data Assimilation and Its Application to Phased-Array Radar Observations

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Figure 3: A 3.5-Dimensional Variational Method for Doppler Radar Data Assimilation and Its Application to Phased-Array Radar Observations

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<p><em>Advances in Meteorology </em>publishes research in all areas of meteorology and climatology. Topics include forecasting techniques and applications, meteorological modelling, data analysis, atmospheric chemistry and physics, and climate change.</p>


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<p>James Cleverly, the journal’s Chief Editor, is based at the University of Technology in Sydney, Australia. His research interests include carbon, water and energy fluxes of arid-land Acacia swales; physics of the atmospheric surface layer and interactions with terrestrial ecosystems.</p>


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