In previous work [Kovalets, I., Andronopoulos, S., Bartzis, J.G., Gounaris, N., Kushchan, A., 2004. Introduction of data assimilation procedures in the meteorological pre-processor of atmospheric dispersion models used in emergency response systems. Atmospheric Environment 38, 457–467.] the authors have developed data assimilation (DA) procedures and implemented them in the frames of a diagnost...

CHIMERE is a chemical transport model widely used within the air quality scientific community. The actual version of CHIMERE is coupled with the MM5 mesoscale meteorological model. To facilitate model development, MM5 is replaced here with the Weather Research and Forecasting (WRF) model. With the accuracy of air quality models being highly dependent on the quality of meteorological drivers, th...

O. Meinander, S. Kazadzis, A. Arola, R. Kivi, A. Kontu, H. Suokanerva, V. Aaltonen, T. Manninen, J.-L. Roujean, and O. Hautecoeur Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland Institute for Environmental Research and Sustainable Development, National Observatory of Athens, Greece Finnish Meteorological Institute, Kuopio Unit, P.O. Box 1627, 70211 Kuopio, Finland Finnis...

The measurement of aerosol optical properties at a rural site in Northern China P. Yan, J. Tang, J. Huang, J. T. Mao, X. J. Zhou, Q. Liu, Z. F. Wang, and H. G. Zhou Chinese Academy of Meteorological Sciences of CMA, Beijing, China Atmospheric Department, Peking University, Beijing, China Guangzhou tropical meteorological institute of CMA, Guangzhou, China Beijing meteorological Bureau, Beijing,...

Our long-term goal is to employ synthetic aperture radar (SAR) imagery of the sea surface as a marine meteorological research and forecasting tool. That is, we aim to use SAR to discover dynamical and morphological characteristics of microscale, mesoscale, and synoptic scale marine meteorological phenomena. We also aim to demonstrate how the fruits of our discovery can be used to aid marine met...

My intention in this paper is to outline and motivate a novel theory of syntactic bootstrapping, Exemplar-Based Phonological Bootstrapping (EBPB), based on Stochastic Tree-Substitution Grammar. Because I have outlined the basic structure of STSG in other places for assessed work on this degree, I will not recapitulate that work in the body of the present paper, but will instead quote it in full...

Predicting the levels of chlorophyll-a (Chl-a) is a vital component of water quality management, which ensures that urban drinking water is safe from harmful algal blooms. This study developed a model to predict Chl-a levels in the Yuqiao Reservoir (Tianjin, China) biweekly using water quality and meteorological data from 1999-2012. First, six artificial neural networks (ANNs) and two non-ANN m...

This paper presents the results of an investigation into the utility of remote sensing (RS) using meteorological satellites sensors and spatial interpolation (SI) of data from meteorological stations, for the prediction of spatial variation in monthly climate across continental Africa in 1990. Information from the Advanced Very High Resolution Radiometer (AVHRR) of the National Oceanic and Atmo...

Infectious diarrhea is an important public health problem around the world. Meteorological factors have been strongly linked to the incidence of infectious diarrhea. Therefore, accurately forecast the number of infectious diarrhea under the effect of meteorological factors is critical to control efforts. In this paper, a three layered feed-forward back-propagation artificial neural network mode...

This paper describes a development of multilevel meteorological data acquisition system implemented at Kalpakkam coastal site for atmospheric dispersion and model validation studies. Meteorological data are one of the most important inputs into any air dispersion model. As a part of atmospheric dispersion modeling studies and developing a methodology to forecast the site-specific dispersion cha...