摘要: NDOEX (INDian Ocean EXperiment) was large international measurement campaign focussing on measuring radiation in, and the chemical compisition of, Indian Atmosphere during northern hemisphere winter. One of reasons to measure in this region specific and unique meteorological conditions area, making a particularly good environment for measurements. Another reason lack scientific knowledge about the meteorology region. INDOEX provided detailed (chemistry) measurements which can be used validate (chemistry-)climate models that nowadays are being climate predictions. Our "trust" in output such highly depends their ability reproduce composition todays atmosphere. The comparison between from numerical model simulations performed with global chemistry-climate form basis thesis. It is shown capable reproducing observed spatial temporal variations composition atmosphere, especially regard scale patterns. However, it also more (detailed) observations needed, as well as improvement small(er) scale processes. Since for thesis appears atmospheric processes, also study region, providing better understanding what actually happening there. (INDische Oceaan een grote internationale meetcampagne met de nadruk op het meten van straling en de chemische samenstelling van, atmosfeer boven Indische oceaan, gedurende winter noordelijk halfrond. Een redenen om dit gebied te specifieke unieke meteorologische omstandigheden ervan. Dit maakte bij uitstek geschikt voor straligsmetingen. andere reden gebrek aan wetschappelijke kennis over meteorologie Oceaan. leverde gedetaileerde (chemie) metingen die gebruikt kunnen worden validatie (chemie-)klimaatmodellen heden ten dage voor klimaatvoorspellingen. Ons vertrouwen voorspellend vermogen zulke modellen hangt sterk af deze huidige toestand te reproduceren. De vergelijking tussen INDOEX-metingen numerieke modelsimulaties met globaal chemie-klimaatmodel vormt dit proefschrift. Er wordt aangetoond dat staat waargenomen ruimtelijke temporele variaties chemische atmosfeer-samenstelling kan reproduceren, vooral grootschalige patronen. Echter, blijkt tevens dat er meer (gedetaileerde) nodig zijn, verbeterd moeten betrekking tot kleinschalige processen. Omdat het zijn grootschalige atmosfeerprocessen ook besturderen, hetgeen beter begrip oplevert over wat gebeurt.
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