How to cite: G.-S. TUDORACHE (2018) Selective parametric specificity of Cluj-Napoca meteorological station according to Annex 1B of WMO No. 8 Guide.
2018 Air and Water Components of the Environment Conference Proceedings, P. 43-50, DOI: 10.24193/AWC2018_06
SELECTIVE PARAMETRIC SPECIFICITY OF CLUJ-NAPOCA METEOROLOGICAL STATION ACCORDING TO ANNEX 1B OF WMO NO. 8 GUIDE
ABSTRACT. – Selective parametric specificity of Cluj-Napoca meteorological station according to Annex 1B of WMO No. 8 Guide. Meteorological metadata are required to be used for all types of measurements. Metadata is information about when, where, how and by whom the meteorological data was measured. Detailed metadata are important to understand the characteristics and limits of measurements, especially for climatology. But detailed metadata, due to their complexity, can greatly reduce their operational use. In the usual practice, the measurement characteristics and limits of a sensor are taken into account at the expense of the environmental conditions in which the measurement of a meteorological parameter takes place. W. M. O., based on the Meteo-France`s proposals (M. Leroy, 1998), has defined a classification for some base surface variables to document the environment near a site. Site classification requires assigning a class number for each measured parameter, which varies from 1 to 5. By convention, a class 1 location complies with WMO regulations. In this paper, the classification criteria set out in Annex 1B of wmo Guide No. 8, are adapted and applied for Cluj-Napoca meteorological station. As a result of applying the classification for Cluj-Napoca Automatic Weather Station, a class number is assigned for the air temperature-humidity, precipitation and wind sensor. The application proposals for the site classification based on results can then be applied to the rest of the meteorological network taking into account the characteristics of the location of a meteorological platform.
Keywords: site classification, metadata, meteorological measurement, sensors.