Abstract
Climate gridded datasets are highly needed and useful in conducting data analysis for research and practical purposes. They provide long-term information on various climatic variables for large areas worldwide, making them suitable for use at any spatial level. It is essential to assess the accuracy of gridded data by comparing the data to measured values, especially when they are used as input parameters for hydro-climatic models. From the multitude of databases available for North-western Romania, we selected three, particularly the European Climate Assessment and Dataset (E-OBS), the Romanian Climatic Dataset (ROCADA), and the Climate of the Carpathian Region (CARPATCLIM). In this paper, we analyse the extreme precipitation and temperature data derived from the above-mentioned datasets over a common 50-year period (1961–2010) and compare the data with raw values to estimate the degree of uncertainty for each set of data. The observation data, recorded at two meteorological stations located in a complex topography region, were compared to the output of the gridded datasets, by using descriptive statistics for the mean and extreme annual and seasonal temperature and precipitation data, and trend analyses. The main findings are: the high suitability of the ROCADA gridded database for climate trend analysis and of the E-OBS gridded database for extreme temperature and precipitation analysis.
Highlights
Useful in various stages of research and data analysis, daily gridded datasets are increasingly used as climatic parameter input for modelling, statistical analysis of time series, trend analysis, etc. [1,2]
The results have shown differences between the data provided by the three climate products, arguing for selective suitability regarding the use of the RomanianClimatic Dataset (ROCADA) and E-OBS databases in relation to the specific purposes of researchers when performing dendroclimatological and dendroecological studies [16]
Gridded datasets are an important source of data for spatial analysis as they offer the possibility to use them as climatic input parameters for different hydrological or agrometeorological models
Summary
Useful in various stages of research and data analysis, daily gridded datasets are increasingly used as climatic parameter input for modelling, statistical analysis of time series, trend analysis, etc. [1,2]. Useful in various stages of research and data analysis, daily gridded datasets are increasingly used as climatic parameter input for modelling, statistical analysis of time series, trend analysis, etc. One of the most common approaches is to select those gridded datasets that provide the values closest to the observed values in the area under study, and are the most suitable for further analysis. Considering their advantages and availability, gridded datasets require a thorough examination for validation before use, by comparing estimations with observation data [6]. To fill the gaps in the available datasets generated by inconsistencies in data collection and recording [7], researchers have focused on creating and testing various methodologies resulting in replicable models of data reconstruction and increased quality control
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