Large-Scale Analysis of Relationships between Mineral Dust, Ice Cloud Properties, and Precipitation from Satellite Observations Using a Bayesian Approach: Theoretical Basis and First Results for the Tropical Atlantic Ocean

<div>Difference <svg height="11.5564pt" id="M207" style="vertical-align:-2.26807pt" version="1.1" viewbox="-0.0498162 -9.28833 56.4441 11.5564" width="56.4441pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M600 0V24L339 665L311 657L43 24V0H600ZM497 50H107L303 539L497 50Z" id="g113-133"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="641" vert-adv-y="641" xpluscharwidth="8.333"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,8.327,0)"><path d="M828 650H570L564 622C646 614 650 609 634 524L604 366H253L281 524C296 608 308 615 382 622L388 650H132L126 622C211 615 214 609 198 524L121 122C106 42 102 35 23 28L17 0H276L282 28C196 35 191 40 206 122L243 324H597L559 123C544 42 537 35 452 28L446 0H710L716 28C632 35 628 43 643 122L719 524C735 610 741 615 822 622L828 650Z" id="g113-73"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="840" vert-adv-y="840" 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xpluscharwidth="56.131"></glyph.data></g></svg> between observed ice cloud optical depth histogram <svg height="11.5564pt" id="M208" style="vertical-align:-2.26807pt" version="1.1" viewbox="-0.0498162 -9.28833 48.0799 11.5564" width="48.0799pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M828 650H570L564 622C646 614 650 609 634 524L604 366H253L281 524C296 608 308 615 382 622L388 650H132L126 622C211 615 214 609 198 524L121 122C106 42 102 35 23 28L17 0H276L282 28C196 35 191 40 206 122L243 324H597L559 123C544 42 537 35 452 28L446 0H710L716 28C632 35 628 43 643 122L719 524C735 610 741 615 822 622L828 650Z" id="g113-73"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="840" vert-adv-y="840" xpluscharwidth="10.92"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,10.923,0)"><path d="M300 -147C201 -63 143 98 143 270S200 602 300 686L282 710C136 610 70 450 70 271V270C70 89 136 -72 282 -170L300 -147Z" id="g113-41"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="346" vert-adv-y="346" xpluscharwidth="15.421"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,15.421,0)"><path d="M614 175C564 76 510 21 408 21C256 21 146 149 146 336C146 488 235 629 402 629C510 629 570 586 597 480L626 488C620 541 614 582 606 638C578 643 510 665 429 665C206 665 44 527 44 316C44 157 153 -15 402 -15C474 -15 558 5 586 11C604 45 629 119 643 165L614 175Z" id="g121-65"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="665" vert-adv-y="665" xpluscharwidth="24.066"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,24.158,0)"><path d="M381 665C170 665 44 498 44 318C44 125 188 -15 369 -15C552 -15 703 117 703 333C703 534 550 665 381 665ZM359 629C491 629 601 517 601 306C601 114 502 21 390 21C249 21 146 158 146 346S248 629 359 629Z" id="g121-77"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="747" vert-adv-y="747" xpluscharwidth="33.869"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,33.751,0)"><path d="M43 650V622C120 616 128 612 128 526V124C128 39 120 33 34 27V0H270C392 0 492 25 567 83C643 141 690 230 690 350C690 444 655 517 605 565C543 625 450 650 323 650H43ZM213 547C213 587 217 598 226 604C236 612 262 617 304 617C371 617 429 604 474 576C554 529 592 439 592 336C592 176 505 36 319 36C246 36 213 55 213 131V547Z" id="g121-66"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="735" vert-adv-y="735" xpluscharwidth="43.306"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,43.306,0)"><path d="M275 270C275 450 212 609 64 710L45 686C145 604 203 442 203 270S147 -63 45 -147L64 -170C213 -68 275 89 275 270Z" id="g113-42"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="346" vert-adv-y="346" xpluscharwidth="47.803999999999995"></glyph.data></g></svg> for the moderate (blue) and high (red) dust loading subsets and Bayesian estimator <svg height="14.1923pt" id="M209" style="vertical-align:-2.2681pt" version="1.1" 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629 359 629Z" id="g121-77"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="747" vert-adv-y="747" xpluscharwidth="33.906"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,33.789,0)"><path d="M43 650V622C120 616 128 612 128 526V124C128 39 120 33 34 27V0H270C392 0 492 25 567 83C643 141 690 230 690 350C690 444 655 517 605 565C543 625 450 650 323 650H43ZM213 547C213 587 217 598 226 604C236 612 262 617 304 617C371 617 429 604 474 576C554 529 592 439 592 336C592 176 505 36 319 36C246 36 213 55 213 131V547Z" id="g121-66"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="735" vert-adv-y="735" xpluscharwidth="43.344"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,43.344,0)"><path d="M275 270C275 450 212 609 64 710L45 686C145 604 203 442 203 270S147 -63 45 -147L64 -170C213 -68 275 89 275 270Z" id="g113-42"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="346" vert-adv-y="346" xpluscharwidth="47.842"></glyph.data></g></svg> together with accompanying distribution statistics differences.</div>

Advances in Meteorology

fig6

Figure 6

Figure 6: Large-Scale Analysis of Relationships between Mineral Dust, Ice Cloud Properties, and Precipitation from Satellite Observations Using a Bayesian Approach: Theoretical Basis and First Results for the Tropical Atlantic Ocean 

Figure 6 | Large-Scale Analysis of Relationships between Mineral Dust, Ice Cloud Properties, and Precipitation from Satellite Observations Using a Bayesian Approach: Theoretical Basis and First Results for the Tropical Atlantic Ocean 