Abstract
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 datasets are freely available on request on the PANGAEA data portal (doi.pangaea.de/10.1594/PANGAEA.833627).
Similar content being viewed by others
References
Bălteanu D, Chendeş V, Sima M, Enciu P (2010) A country-wide spatial assessment of landslide susceptibility in Romania. Geomorphology 124(3–4):102–112. doi:10.1016/j.geomorph.2010.03.005
Birsan MV (2013) Application of a distributed physically-based hydrological model on the upper river basin of Someşul Mare (Northern Romania). Rom. Rep Phys 65(4):1469–1478
Birsan MV (2015) Trends in monthly natural streamflow in Romania and linkages to atmospheric circulation in the North Atlantic. Water Resour Manag. doi:10.1007/s11269-015-0999-6
Birsan MV, Dumitrescu A (2014a) Snow variability in Romania in connection to large-scale atmospheric circulation. Int J Climatol 34:134–144. doi:10.1002/joc.3671
Birsan MV, Dumitrescu A (2014b) ROCADA: Romanian daily gridded climatic dataset (1961–2013) V1.0. Administratia Nationala de Meteorologie, Bucuresti, Romania. doi:10.1594/PANGAEA.833627
Birsan MV, Zaharia L, Chendes V, Branescu E (2012) Recent trends in streamflow in Romania (1976–2005). Rom Rep Phys 64(1):275–280
Birsan MV, Marin L, Dumitrescu A (2013) Seasonal changes in wind speed in Romania. Rom Rep Phys 65(4):1479–1484
Birsan MV, Dumitrescu A, Micu DM, Cheval S (2014a) Changes in annual temperature extremes in the Carpathians since AD 1961. Nat Hazards. doi:10.1007/s11069-014-1290-5
Birsan MV, Zaharia L, Chendes V, Branescu E (2014b) Seasonal trends in Romanian streamflow. Hydrol Process 28:4496–4505. doi:10.1002/hyp.9961
Busuioc A, Dobrinescu A, Birsan MV, Dumitrescu A, Orzan A (2014) Spatial and temporal variability of climate extremes in Romania and associated large-scale mechanisms. Int J Climatol. doi:10.1002/joc.4054
Cheval S, Baciu M, Dumitrescu A, Breza T, Legates DR, Chendes V (2011) Climatologic adjustments to monthly precipitation in Romania. Int J Climatol 31:704–714. doi:10.1002/joc.2099
Cheval S, Birsan MV, Dumitrescu A (2014a) Climate variability in the Carpathian Mountains region over 1961-2010. Glob Planet Change 118:85–96. doi:10.1016/j.gloplacha.2014.04.005
Cheval S, Busuioc A, Dumitrescu A, Birsan MV (2014b) Spatiotemporal variability of the meteorological drought in Romania using the standardized precipitation index (SPI). Clim Res 60:235–348. doi:10.3354/cr01245
Costa AC, Soares A (2009) Homogenization of climate data: review and new perspectives using geostatistics. Math Geosci 41:291–305. doi:10.1007/s11004-008-9203-3
Croitoru AE, Piticar A, Dragotă CS, Bursada DC (2013) Recent changes in reference evapotranspiration in Romania. Glob Planet Change 111:127–136. doi:10.1016/j.gloplacha.2013.09.004
Daly C (2006) Guidelines for assessing the suitability of spatial climate data sets. Int J Climatol 26:707–721. doi:10.1002/joc.1322
Dumitrescu A, Bojariu R, Birsan MV, Marin L, Manea A (2014) Recent climatic changes in Romania from observational data (1961–2013). Theor Appl Climatol. doi:10.1007/s00704-014-1290-0
Ensor LA, Robeson SM (2008) Statistical characteristics of daily precipitation: comparisons of gridded and point datasets. J Appl Meteor Climatol 47:2468–2476. doi:10.1175/2008JAMC1757.1
Haylock MR, Hofstra N, Klein Tank AMG, Klok EJ, Jones PD, New M (2008) A European daily high-resolution gridded dataset of surface temperature and precipitation. J Geophys Res (Atmos) 113:D20119. doi:10.1029/2008JD10201
Hofstra N, Haylock M, New M, Jones PD (2009) Testing E-OBS European high-resolution gridded dataset of daily precipitation and surface temperature. J Geophys Res 114:D21101. doi:10.1029/2009JD011799
Ionita M (2015) Interannual summer streamflow variability over Romania and its connection to large-scale atmospheric circulation. Int J Climatol. doi:10.1002/joc.4278
Ionita M, Chelcea S, Rimbu N, Adler MJ (2014) Spatial and temporal variability of winter streamflow over Romania and its relationship to large-scale atmospheric circulation. J Hydrol 519:1339–1349. doi:10.1016/j.jhydrol.2014.09.024
Ionita M, Rimbu N, Chelcea S, Patrut S (2012) Multidecadal variability of summer temperature over Romania and its relation with Atlantic multidecadal oscillation. Theor Appl Climatol 113(1–2):305–315. doi:10.1007/s00704-012-0786-8
Lakatos M, Szentimrey T, Bihari Z, Szalai S (2013) Creation of a homogenized climate database for the Carpathian region by applying the MASH procedure and the preliminary analysis of the data. Időjárás 117(1):143–158
Marin L, Birsan MV, Bojariu R, Dumitrescu A, Micu DM, Manea A (2014) An overview of annual climatic changes in Romania: trends in air temperature, precipitation, sunshine hours, cloud cover, relative humidity and wind speed during the 1961–2013 period. Carpath J Earth Env 9(4):253–258
Micu D (2009) Snow pack in the Romanian Carpathians under changing climatic conditions. Meteorol Atmos Phys 105(1–2):1–16. doi:10.1007/s00703-009-0035-6
Rimbu N, Stefan S, Necula C (2014) The variability of winter high temperature extremes in Romania and its relationship with large-scale atmospheric circulation. Theor Appl Climatol. doi:10.1007/s00704-014-1219-7
Sluiter R (2012) Interpolation Methods for the Climate Atlas. Royal Netherlands Meteorological Institute (KNMI) Technical report TR-335. De Bilt, The Netherlands. http://www.knmi.nl/knmi-library/knmipubTR/TR335.pdf
Spinoni J, Szalai S, Lakatos M, Szentimrey T, Bihari Z, Mihic D, Antofie T, Vogt J, Auer I, Hiebl J, Milkovic J, Stepanek P, Tolasz R, Zahradníček P, Nagy A, Nemeth A, Kovacs T, Kilar P, Limanowka D, Pyrc R, Cheval S, Gyorgy D, Dumitrescu A, Matei M, Birsan MV, Dacic M, Petrovic P, Krzic A, Antolovic I, Nejedlik P, Statsny P, Kajaba P, Bochnicek O, Galo D, Mikulova K, Nabyvanets Y, Skrynyk O, Krakovska S, Gnatiuk N (2014) Climate of the Carpathian Region in 1961–2010: climatologies and trends of ten variables. Int J Climatol. doi:10.1002/joc.4059
Stefanescu V, Stefan S, Georgescu F (2014) Spatial distribution of heavy precipitation in Romania between 1980 and 2009. Meteorol Appl 21:684–694. doi:10.1002/met.1391
Szentimrey T (1999) Multiple Analysis of Series for Homogenization (MASH). Proceedings of the 2nd seminar for homogenization of surface climatological data. Budapest, Hungary. WMO, WCDMP-No. 41: 27–46
Szentimrey T (2008) Development of MASH homogenization procedure for daily data. Proceedings of the 5th seminar for homogenization and quality control in climatological databases, Budapest, Hungary, 2006, WCDMP-No. 71: 123–130
Szentimrey T (2011) Manual of homogenization software MASHv3.03. Hungarian Meteorological Service
Szentimrey T, Bihari Z (2004) Mathematical background of the spatial interpolation methods and the software MISH (Meteorological Interpolation based on surface homogenized data basis). Proceedings of the conference on spatial interpolation in climatology and meteorology. COST-719 Meeting, Budapest, Hungary, 24–29 October 2004
Szentimrey T, Bihari Z (2005) Manual of interpolation software MISHv1.01
Szentimrey T, Bihari Z (2007) Mathematical background of the spatial interpolation methods and the software MISH (meteorological interpolation based on surface homogenized data basis), Proceedings from the conference on spatial interpolation in climatology and meteorology, Budapest, Hungary, 2004, COST Action 719, COST Office: 17–27
Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res 106(D7):7183–7192. doi:10.1029/2000JD900719
Tveito OE, Wegehenkel M, van der Wel F, Dobesch H (2006) The use of geographic information systems in climatology and meteorology. COST Action 719 Final Report. w3.cost.eu/fileadmin/domain_files/METEO/Action_719/final_report/final_report-719.pdf
Venema VKC, Mestre O, Aguilar E, Auer I, Guijarro JA, Domonkos P, Vertacnik G, Szentimrey T, Stepanek P, Zahradnicek P, Viarre J, Muller-Westermeier G, Lakatos M, Williams CN, Menne M, Lindau R, Rasol D, Rustemeier E, Kolokythas K, Marinova T, Andresen L, Acquaotta F, Fratianni S, Cheval S, Klancar M, Brunetti M, Gruber C, Prohom Duran M, Likso T, Esteban P, Brandsma T (2012) Benchmarking homogenization algorithms for monthly data. Clim Past 8:89–115. doi:10.5194/cp-8-89-2012
Yatagai A, Kamiguchi K, Arakawa O, Hamada A, Yasutomi N, Kitoh A (2012) APHRODITE: constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges. B Am Meteorol Soc 93:1401–1415. doi:10.1175/BAMS-D-11-00122.1
Acknowledgments
Dr. Tamas Szentimrey (Hungarian Meteorological Service) is kindly acknowledged for his help on the homogenization and interpolation software. We acknowledge the E-OBS dataset from the EU-FP6 project ENSEMBLES (http://ensembles-eu.metoffice.com) and the data providers in the ECA&D project (http://www.ecad.eu). The APHRODITE dataset was downloaded from www.chikyu.ac.jp/precip. We thank the two anonymous referees for their comments and suggestions, which led to an overall improvement in the original manuscript. This work has been realized within the framework of the EU-FP7 project EURO4 M, code: 242093 (www.euro4m.eu).
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Dumitrescu, A., Birsan, MV. ROCADA: a gridded daily climatic dataset over Romania (1961–2013) for nine meteorological variables. Nat Hazards 78, 1045–1063 (2015). https://doi.org/10.1007/s11069-015-1757-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11069-015-1757-z