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George-Stelian1 Tudorache

Abstract

Selecting a meteorological platform siting is established according to World Meteorological Organization (W.M.O.) regulations so that the measurements are done in optimal conditions, thus ensuring a high quality meteorological data. The environmental characteristics of a meteorological platform can sometimes generate measurement errors that exceed the automatic meteorological station (A.W.S.) sensors tolerances. Due to the urban development in the vicinity of the meteorological station the measurement conditions of a meteorological parameter may suffer adverse changes due to the emergence of large obstacles or heat sources. At the Technical Conference of W.M.O. regarding the Observing Instruments and Methods in 2013, meteorological platform classification criteria was established, regulated by Annex 1B of W.M.O. No. 8 Guide. The classification uses the detailed documentation of the obstacles in a 100 m around the A.W.S. and assigning a class number for each measured meteorological parameter. The classification has been established to help standardize the representativeness of a meteorological platform at a small scale. Among the results of the site classification include the user's knowledge of the conditions for measuring the meteorological parameters in the initial phase of the use or implementation of a data string. The site classification needs to be applied for all weather stations in Romania's national network and in this paper a proposal for the implementation method is presented for two meteorological stations located in Moldavia, Iași and Botoșani.

Open access

Bogdan Alexandru Maco, Nicoleta Ionac and George Tudorache

Abstract

Air pollution is one of the major problems of mankind, transport of pollutants extending far beyond the borders of the countries where they were produced, causing unpredictable, direct and indirect changes of the environment. The main tool for the study of this phenomenon consists of mathematical modeling of complex physical and chemical phenomena involved. In practice, air emissions are estimated on basis of measurements taken from selected sources being representative of the major categories and types. At national level, the Air Quality Evaluation Center (CECA) provides regular reports to the European Environment Agency (EEA) or the European Commission as requirements of Romania’s lawful duties in air quality domain. The registry of emissions TNO/ MACC (Netherlands Organisation for Applied Scientific Research/ Monitoring Atmospheric Composition and Climate) contains emissions inventories which have been homogenized and checked in advance and obtained from emissions officially reported at sectoral level for each country. In this study, for the analysis of the weather numerical dispersion and transport of pollutants, it has been used the numerical air quality model WRF-CHEM version 3.5, centered over Romania, at the spatial resolution of 10 km, using as input data the TNO emission database for 2009. By interpolating values from the regular grid of the TNO database with the WRF-CHEM model 3.5 grid, monthly average values were obtained for each day of the week, for any parameter considered. Preliminary results obtained for different pollutants (for example: PM10, O3) confirm the need to validate these results by implementing and integrating air quality forecasting model by assimilating different types of measurements (data model, gravimetric data observations, etc.).

Open access

Tudorache George-Stelian, Ionac Nicoleta, Maco Bogdan and Manea Ancuța

Abstract

The metadata are defined as the informations behind the data. The purpose of the metadata in meteorological activity is to represent where, when, how and by whom meteorological data has been obtained, colected and recorded. Ideally, a comprehensive metadata base should contain records of all changes that have occured throughout the entire period in which the meteorological station has functioned, the so called „station history”. This paper renders the preliminary results of the analysed wind parameter values (percentages of wind calm and wind frequency) for the time period between 1961 and 2015 at Iași meteorological station. The data were analysed based on various historical metadata information (e.g. the emergence of new construction(s) around the station, relocation of the station, changes in the equipment used to measure the wind etc.), information that may influence the wind parameters measured at Iași weather station.