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