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 2</h2><div class="floats-full-page-caption"><table>Phased-array radar observed reflectivity (a), radial velocity (b) at <svg height="13.1375" id="M430" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 33.512501 13.1375" width="33.512501" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,12.875)"><path d="M241 635q53 0 94 -28.5t63.5 -76t33.5 -102.5t11 -116q0 -58 -11 -112.5t-34 -103.5t-63.5 -78.5t-94.5 -29.5t-95 28t-64.5 75t-34.5 102.5t-11 118.5q0 58 11.5 112.5t34.5 103t64.5 78t95.5 29.5zM238 602q-32 0 -55.5 -25t-35.5 -68t-17.5 -91t-5.5 -105&#10;q0 -76 10 -138.5t37 -107.5t69 -45q32 0 55.5 25t35.5 68.5t17.5 91.5t5.5 105t-5.5 105.5t-18 92t-36 68t-56.5 24.5z" id="x30"></path></g><g transform="matrix(.017,-0,0,-.017,8.222,12.875)"><path d="M113 -12q-24 0 -39.5 16t-15.5 42q0 24 16 40.5t40 16.5t40 -16.5t16 -40.5q0 -26 -16 -42t-41 -16z" id="x2E"></path></g><g transform="matrix(.017,-0,0,-.017,12.098,12.875)"><path d="M447 623l8 -12l-283 -613l-74 -10l-7 11q174 283 297 551h-216q-48 0 -62.5 -12t-33.5 -63h-29q10 60 18 148h382z" id="x37"></path></g><g transform="matrix(.017,-0,0,-.017,20.257,12.875)"><path d="M153 550l-26 -186q79 31 111 31q90 0 141.5 -51t51.5 -119q0 -93 -89 -166q-85 -69 -173 -71q-32 0 -61.5 11.5t-41.5 23.5q-18 17 -17 34q2 16 22 33q14 9 26 -1q61 -50 124 -50q60 0 93 43.5t33 104.5q0 69 -41.5 110t-121.5 41q-53 0 -102 -20l38 305h286l6 -8&#10;l-26 -65h-233z" id="x35"></path></g>
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</svg>, and dealiased radial velocity (c) at 2107 UTC on 2 June 2004. Aliased velocity areas are highlighted in (b).</table></div><div class="floats-full-page-content"><table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="797265.fig.002a" src="https://static-01.hindawi.com/articles/amete/volume-2010/797265/figures/797265.fig.002a.jpg" /></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b></td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="797265.fig.002b" src="https://static-01.hindawi.com/articles/amete/volume-2010/797265/figures/797265.fig.002b.jpg" /></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b></td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="797265.fig.002c" src="https://static-01.hindawi.com/articles/amete/volume-2010/797265/figures/797265.fig.002c.jpg" /></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b></td></tr></table></td></tr></table></div></div>

Figure 2 | A 3.5-Dimensional Variational Method for Doppler Radar Data Assimilation and Its Application to Phased-Array Radar Observations

title

Figure 2: A 3.5-Dimensional Variational Method for Doppler Radar Data Assimilation and Its Application to Phased-Array Radar Observations

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Figure 2

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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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