Data assimilation has long being regarded primarily as a mean of providing initial conditions for Numerical Weather Prediction NWP in meteorological centers Increas ingly it is now being recognized that through the constant confrontation of theory under the form of a numerical model that discretized the physical laws governing the atmospheric ow with reality as depicted by meteorological observ...

The objective of this report is to evaluate the performances of different data assimilation schemes with the aim of designing suitable assimilation algorithms for short-range ozone forecasts in realistic applications. The underlying atmospheric chemistry-transport models are stiff but stable systems with high uncertainties (e.g., over 20% for ozone daily peaks, Hanna et al. [1998]; Mallet and S...

Labour Market Outcomes of Immigrants in Germany: The Importance of Heterogeneity and Attrition Bias Heterogeneity in the ethnic composition of Germany's immigrant population renders general conclusions on the degree of economic integration difficult. Using a rich longitudinal data-set, this paper tests for differences in economic assimilation profiles of four groups of foreign-born immigrants a...

Data assimilation is the process to fuse information from priors, observations of nature, and numerical models, in order to obtain best estimates of the parameters or state of a physical system of interest. Presence of large errors in some observational data, e.g., data collected from a faulty instrument, negatively affect the quality of the overall assimilation results. This work develops a sy...

In order to investigate listeners’ perceptual patterns regarding segments from an unfamiliar language, researchers commonly employ perceptual assimilation tasks. These tasks investigate the perceptual similarity of non-native sounds to L1 sounds, but do not provide information on the perceived similarity among non-native sounds. In order to examine how German vowels are perceived by naïve Ameri...

Although remote sensing data are often plentiful, they do not usually satisfy the users’ needs directly. Data assimilation is required to extract information about geophysical fields of interest from the remote sensing observations and to make the data more accessible to users. Remote sensing may provide, for example, measurements of surface soil moisture, snow water equivalent, snow cover, or ...

This study demonstrates the usefulness of the Web assimilation model to understand the factors that might contribute to enhancing organizational performance with e-business technologies. In this paper, the Chatterjee et al. model of Web Assimilation is used to provide the foundation for investigation of the relationships of interest that would enhance the effectiveness of Web-based technologies...

Prior research on ERP assimilation has primarily focused on influential factors at the organizational level. In this study, we attempt to extend our understanding of individual level ERP assimilation from the perspective of social network theory. We designed a multi-case study to explore the relations between ERP users’ social networks and their levels of ERP assimilation based on the three dim...

Financial services providers are exposed to different sources of institutional pressure arising from the intensive competition and regulation in the banking sector. Against this background, Grid technology assimilation can be seen as a potential strategic response to increasing requirements in terms of complex new financial products, the assessment of arising risks, and sophisticated investment...

Nitrogen (N) is one of the most important nutrients for plants and nitric oxide (NO) as a signaling plant growth regulator involved in nitrogen assimilation. Understanding the influence of exogenous NO on nitrogen metabolism at the gene expression and enzyme activity levels under different sources of nitrogen is vitally important for increasing nitrogen use efficiency (NUE). This study investig...