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The fundamental pillar of research planning is the in-depth examination of background data. Climatic measurements are needed to facilitate proper the selection of research methods according to baseline surveys. To achieve the proper level of knowledge, existing meteorological datasets or targeted measurement programs can be used. (Loksa, 2004) Meteorological data can be widely used to support research methods, e.g. added local meteorological data can improve the interferometric radar measurement accuracy performed on rock-slide areas (Norland, 2007). However, meteorological datasets are simple, they provide support to discover complex events, and subserve forecasts of ecological disasters and anomalies (Neves et al., 2007). There are plenty of options when it comes to using existing data, but in any case, it has to be considered how realistic the data is. Usability is affected by the circumstances of data acquisition, the placement of the meter, and calibration. If these are taken into consideration, the amount of usable data is greatly reduced. In order to be able to properly compare the data in each case, the circumstances of their generation must be clarified (Szász and Tőkei, 1997). Most of these types of data are collected, systematized, and processed by the National Meteorological Service and can be requested from the Climate Information Unit of the OMSZ (Tőkei, 1988; Varga-Haszonits et al., 2000). We can also use regular measurements that are not provided by the OMSZ for data collection. Many organizations and institutions regularly carry out such surveys in their area of competence. These include: Plant Protection and Veterinary Stations, Small and Large-scale Agricultural, Forestry, Road Directorates, The Hungarian Railways, Sports Airports, Water Directorates. These organizations carry out accurate meteorological and climatological surveys in connection with their activity profile, so these data are often specialized and cannot be used in other fields. However, their general data (temperature, precipitation) is always accurate and controlled. It is common that we do not have adequate microclimatic data for the selected plot. In this case, local instrumental measurement is the solution. The most accurate results can be obtained by long-term operation and data processing of the measuring instrument installed in the test area. (Loksa, 2004). Locally owned, resource-driven meteorological stations can provide benefits in special cases. For the use of the main meteorological data for research purposes, the services of the territorially competent water authorities are available free of charge in accordance with the law act No. CXII. on selfdetermination and freedom of information. However, their relevance should be verified at the early planning stage of each study. The purpose of this study is to determine whether regional data collected by water authorities is sufficient in a given geographical region or own datasets are needed to minimize distortions. We also wanted to express, if geographical distance has an effect on the collected data.

significance of local meteorological stations in research planning