Birsan, Marius-Victor; Dumitrescu, Alexandru (2014): ROCADA: Romanian daily gridded climatic dataset (1961-2013) V1.0 [dataset]. Administratia Nationala de Meteorologie, Bucuresti, Romania, PANGAEA, https://doi.org/10.1594/PANGAEA.833627,

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Supplement to: Dumitrescu, Alexandru; Birsan, Marius-Victor (2015): ROCADA: a gridded daily climatic dataset over Romania (1961–2013) for nine meteorological variables. Natural Hazards, 78(2), 1045-1063, https://doi.org/10.1007/s11069-015-1757-z

Daily records of nine meteorological variables covering the interval 1961-2013 were used in order to create a state-of-the-art homogenized climatic dataset over Romania at a spatial resolution of 0.1°. All meteorological stations with full data records, as well as stations with up to 30 % missing data, were used for the following variables: air pressure (150 stations); minimum, maximum, and average air temperature (150 stations); soil temperature (127 stations); precipitation (188 stations); sunshine hours (135 stations); cloud cover (104 stations); relative humidity (150 stations). For each parameter, the data series were first homogenized with the software MASH (Multiple Analysis of Series for Homogenization); then, the data series were gridded by means of the software MISH (Meteorological Interpolation based on Surface Homogenized Data).

The product represents a daily gridded homogenized climatic dataset over Romania at a spatial resolution of 0.1 degrees for nine meteorological variables. All meteorological stations with full data records, as well as stations with at least 70% completeness were used, for the following variables: air pressure (150 stations); minimum, maximum, and average air temperature (150 stations); soil temperature (127 stations); precipitation (188 stations); sunshine hours (135 stations); cloud cover (104 stations); relative humidity (150 stations). For each parameter (air pressure; air temperature; soil temperature; precipitation; sunshine hours; cloud cover; relative humidity), the data series were first homogenized with the software MASH (Multiple Analysis of Series for Homogenization), then gridded by means of the software MISH (Meteorological Interpolation based on Surface Homogenized Data).

Dr Tamas Szentimrey (Hungarian Meteorological Service) is kindly acknowledged for his disponibility regarding the homogenization and interpolation software.

This work was realized within the framework of the EU-FP7 project EURO4M, code: 242093 (http://www.euro4m.eu).

The data are freely available on request in NetCDF (Network Common Data Form) format. Any user who accepts our data release guidelines may ask Marius-Victor Birsan (marius.birsan@gmail.com) or Alexandru Dumitrescu (alexandru.dumitrescu@gmail.com) to obtain an account to download the dataset.