Aerosol-cloud interactions studied with a chemistry-climate model

This study aims at a comprehensive understanding of the effects of aerosol-cloud interactions and their effects on cloud properties and climate using the chemistry-climate model EMAC. In this study, CCN activation is regarded as the dominant driver in aerosol-cloud feedback loops in warm clouds. The CCN activation is calculated prognostically using two different cloud droplet nucleation parameterizations, the STN and HYB CDN schemes. Both CDN schemes account for size and chemistry effects on the droplet formation based on the same aerosol properties. The calculation of the solute effect (hygroscopicity) is the main difference between the CDN schemes. The kappa-method is for the first time incorporated into Abdul-Razzak and Ghan activation scheme (ARG) to calculate hygroscopicity and critical supersaturation of aerosols (HYB), and the performance of the modied scheme is compared with the osmotic coefficient model (STN), which is the standard in the ARG scheme. Reference simulations (REF) with the prescribed cloud droplet number concentration have also been carried out in order to understand the effects of aerosol-cloud feedbacks. In addition, since the calculated cloud coverage is an important determinant of cloud radiative effects and is influencing the nucleation process two cloud cover parameterizations (i.e., a relative humidity threshold; RH-CLC and a statistical cloud cover scheme; ST-CLC) have been examined together with the CDN schemes, and their effects on the simulated cloud properties and relevant climate parameters have been investigated. The distinct cloud droplet spectra show strong sensitivity to aerosol composition effects on cloud droplet formation in all particle sizes, especially for the Aitken mode. As Aitken particles are the major component of the total aerosol number concentration and CCN, and are most sensitive to aerosol chemical composition effect (solute effect) on droplet formation, the activation of Aitken particles strongly contribute to total cloud droplet formation and thereby providing different cloud droplet spectra. These different spectra influence cloud structure, cloud properties, and climate, and show regionally varying sensitivity to meteorological and geographical condition as well as the spatiotemporal aerosol properties (i.e., particle size, number, and composition). The changes responding to different CDN schemes are more pronounced at lower altitudes than higher altitudes. Among regions, the subarctic regions show the strongest changes, as the lower surface temperature amplifies the effects of the activated aerosols; in contrast, the Sahara desert, where is an extremely dry area, is less influenced by changes in CCN number concentration. The aerosol-cloud coupling effects have been examined by comparing the prognostic CDN simulations (STN, HYB) with the reference simulation (REF). Most pronounced effects are found in the cloud droplet number concentration, cloud water distribution, and cloud radiative effect. The aerosol-cloud coupling generally increases cloud droplet number concentration; this decreases the efficiency of the formation of weak stratiform precipitation, and increases the cloud water loading. These large-scale changes lead to larger cloud cover and longer cloud lifetime, and contribute to high optical thickness and strong cloud cooling effects. This cools the Earth's surface, increases atmospheric stability, and reduces convective activity. These changes corresponding to aerosol-cloud feedbacks are also differently simulated depending on the cloud cover scheme. The ST-CLC scheme is more sensitive to aerosol-cloud coupling, since this scheme uses a tighter linkage of local dynamics and cloud water distributions in cloud formation process than the RH-CLC scheme. For the calculated total cloud cover, the RH-CLC scheme simulates relatively similar pattern to observations than the ST-CLC scheme does, but the overall properties (e.g., total cloud cover, cloud water content) in the RH simulations are overestimated, particularly over ocean. This is mainly originated from the difference in simulated skewness in each scheme: the RH simulations calculate negatively skewed distributions of cloud cover and relevant cloud water, which is similar to that of the observations, while the ST simulations yield positively skewed distributions resulting in lower mean values than the RH-CLC scheme does. The underestimation of total cloud cover over ocean, particularly over the intertropical convergence zone (ITCZ) relates to systematic defficiency of the prognostic calculation of skewness in the current set-ups of the ST-CLC scheme.rnOverall, the current EMAC model set-ups perform better over continents for all combinations of the cloud droplet nucleation and cloud cover schemes. To consider aerosol-cloud feedbacks, the HYB scheme is a better method for predicting cloud and climate parameters for both cloud cover schemes than the STN scheme. The RH-CLC scheme offers a better simulation of total cloud cover and the relevant parameters with the HYB scheme and single-moment microphysics (REF) than the ST-CLC does, but is not very sensitive to aerosol-cloud interactions.

Generating vegetation-spectra as a basis for global monitoring of annual vegetation cycles using DOAS satellite observations

Vegetation-cycles are of general interest for many applications. Be it for harvest-predictions, global monitoring of climate-change or as input to atmospheric models.rnrnCommon Vegetation Indices use the fact that for vegetation the difference between Red and Near Infrared reflection is higher than in any other material on Earth’s surface. This gives a very high degree of confidence for vegetation-detection.rnrnThe spectrally resolving data from the GOME and SCIAMACHY satellite-instrumentsrnprovide the chance to analyse finer spectral features throughout the Red and Near Infrared spectrum using Differential Optical Absorption Spectroscopy (DOAS). Although originally developed to retrieve information on atmospheric trace gases, we use it to gain information on vegetation. Another advantage is that this method automatically corrects for changes in the atmosphere. This renders the vegetation-information easily comparable over long time-spans.rnThe first results using previously available reference spectra were encouraging, but also indicated substantial limitations of the available reflectance spectra of vegetation. This was the motivation to create new and more suitable vegetation reference spectra within this thesis.rnThe set of reference spectra obtained is unique in its extent and also with respect to its spectral resolution and the quality of the spectral calibration. For the first time, this allowed a comprehensive investigation of the high-frequency spectral structures of vegetation reflectance and of their dependence on the viewing geometry.rnrnThe results indicate that high-frequency reflectance from vegetation is very complex and highly variable. While this is an interesting finding in itself, it also complicates the application of the obtained reference spectra to the spectral analysis of satellite observations.rnrnThe new set of vegetation reference spectra created in this thesis opens new perspectives for research. Besides refined satellite analyses, these spectra might also be used for applications on other platforms such as aircraft. First promising studies have been presented in this thesis, but the full potential for the remote sensing of vegetation from satellite (or aircraft) could bernfurther exploited in future studies.

Entwicklung und Charakterisierung eines Drop-on-Demand-Aerosolgenerators für die Probenzuführung kleinster Flüssigkeitsmengen in der analytischen Atomspektroskopie

Die pneumatische Zerstäubung ist die häufigste Methode der Probenzuführung von Flüssigkeiten in der Plasmaspektrometrie. Trotz der bekannten Limitierungen dieser Systeme, wie die hohen Probenverluste, finden diese Zerstäuber aufgrund ihrer guten Robustheit eine breite Anwendung. Die flussratenabhängige Aerosolcharakteristik und pumpenbasierte Signalschwankungen limitieren bisher Weiterentwicklungen. Diese Probleme werden umso gravierender, je weiter die notwendige Miniaturisierung dieser Systeme fortschreitet. Der neuartige Ansatz dieser Arbeit basiert auf dem Einsatz modifizierter Inkjet-Druckerpatronen für die Dosierung von pL-Tropfen. Ein selbst entwickelter Mikrokontroller ermöglicht den Betrieb von matrixkodierten Patronen des Typs HP45 mit vollem Zugriff auf alle essentiellen Betriebsparameter. Durch die neuartige Aerosoltransportkammer gelang die effiziente Kopplung des Tropfenerzeugungssystems an ein ICP-MS. Das so aufgebaute drop-on-demand-System (DOD) zeigt im Vergleich zu herkömmlichen und miniaturisierten Zerstäubern eine deutlich gesteigerte Empfindlichkeit (8 - 18x, elementabhängig) bei leicht erhöhtem, aber im Grunde vergleichbarem Signalrauschen. Darüber hinaus ist die Flexibilität durch die große Zahl an Freiheitsgraden des Systems überragend. So ist die Flussrate über einen großen Bereich variabel (5 nL - 12,5 µL min-1), ohne dabei die primäre Aerosolcharakteristik zu beeinflussen, welche vom Nutzer durch Wahl der elektrischen Parameter bestimmt wird. Das entwickelte Probenzuführungssystem ist verglichen mit dem pneumatischen Referenzsystem weniger anfällig gegenüber Matrixeffekten beim Einsatz von realen Proben mit hohen Anteilen gelöster Substanzen. So gelingt die richtige Quantifizierung von fünf Metallen im Spurenkonzentrationsbereich (Li, Sr, Mo, Sb und Cs) in nur 12 µL Urin-Referenzmaterial mittels externer Kalibrierung ohne Matrixanpassung. Wohingegen beim pneumatischen Referenzsystem die aufwändigere Standardadditionsmethode sowie über 250 µL Probenvolumen für eine akkurate Bestimmung der Analyten nötig sind. Darüber hinaus wird basierend auf der Dosierfrequenz eines dualen DOD-Systems eine neuartige Kalibrierstrategie vorgestellt. Bei diesem Ansatz werden nur eine Standard- und eine Blindlösung anstelle einer Reihe unterschiedlich konzentrierter Standards benötigt, um eine lineare Kalibrierfunktion zu erzeugen. Zusätzlich wurde mittels selbst entwickelter, zeitlich aufgelöster ICP-MS umfangreiche Rauschspektren aufgenommen. Aus diesen gelang die Ermittlung der Ursache des erhöhten Signalrauschens des DOD, welches maßgeblich durch das zeitlich nicht äquidistante Eintreffen der Tropfen am Detektor verursacht wird. Diese Messtechnik erlaubt auch die Detektion einzeln zugeführter Tropfen, wodurch ein Vergleich der Volumenverteilung der mittels ICP-MS detektierten, gegenüber den generierten und auf optischem Wege charakterisierten Tropfen möglich wurde. Dieses Werkzeug ist für diagnostische Untersuchungen äußerst hilfreich. So konnte aus diesen Studien neben der Aufklärung von Aerosoltransportprozessen die Transporteffizienz des DOD ermittelt werden, welche bis zu 94 Vol.-% beträgt.