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The main goal of the work is to present contemporary possibilities of using climatological data sources, which are increasingly stored in the form of grids. The essence of these data was discussed against the background of traditional data based on classic station measurements (in-situ). The most famous available databases and their advantages are presented, which allow for their convenient use using GIS. In the last part, gridded data from the ERA5 database was validated based on in-situ data for Poland. Daily air temperature and precipitation values from the period 1991-2020 were taken into account for the analysis. The results indicate a good quality of the gridded data used in the case of average temperature values, however poorer in the case of daily minimum temperature values as well as daily precipitation sums. The research results confirm that gridded data offers many possibilities for regional analyses, but for some micro-scale application purposes it may be not sufficient enough.
Czasopismo
Rocznik
Tom
Strony
133--146
Opis fizyczny
Bibliogr. 29 poz.
Twórcy
autor
- Jagiellonian University, Faculty of Geography and Geology, Institute of Geography and Spatial Management, Institute of Meteorology and Water Management, Department of Climatology, Kraków, Poland
autor
- Institute of Meteorology and Water Management, Kraków, Poland
autor
- Jagiellonian University, Faculty of Geography and Geology, Institute of Geography and Spatial Management, Institute of Meteorology and Water Management, Department of Climatology, Kraków, Poland
Bibliografia
- 1. Ahmed K., Shahid S., Wang X., Nawaz N., Khan N. (2019). Evaluation of Gridded Precipitation Dataset over Arid Regions of Pakistan. Water, vol. 11, no. 2, 210. https://doi.org/10.3390/w11020210
- 2. Almeida M., Coelho P. (2023). A first assessment of ERA5 and ERA5-Land reanalysis air temperature in Portugal. International Journal of Climatology, vol. 43, pp. 6643-6663. https://doi.org/10.1002/joc.8225
- 3. Auer I., Böhm R., Jurkovic A., Lipa W., Orlik A., Potzmann R., Schöner W., Ungersböck M., Matulla C., Briffa K., Jones P., Efthymiadis D., Brunetti M., Nanni T., Maugeri M., Mercalli L., Mestre O., Moisselin J.-M., Begert M., Müller-Westermeier G., Kveton V., Bochnicek O., Stastny P., Lapin M., Szalai S., Szentimrey T., Cegnar T., Dolinar M., Gajic- Capka M., Zaninovic K., Majstorovic Z., Nieplova E. (2007). HISTALP - historical instrumental climatological surface time series of the Greater Alpine Region. International Journal of Climatology, vol. 27, pp. 17-46. https://doi.org/10.1002/joc.1377
- 4. Auer I., Böhm R., Maugeri M. (2001). A new long-term gridded precipitation data-set for the Alps and its application for Map and Alpclim. Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere, vol. 26, no. 5-6, pp. 421-424. https://doi.org/10.1016/S1464-1909(01)00029-6
- 5. Behnke R., Vavrus S., Allstadt A., Albright T., Thogmartin W.E., Radeloff V.C. (2016). Evaluation of downscaled, gridded climate data for the conterminous United States. Ecological Applications, vol. 26, no. 5, pp. 1338-1351. https://doi.org/10.1002/15-1061
- 6. Cornes R. C., van der Schrier G., van den Besselaar E. J. M., Jones P. D. (2018). An ensemble version of the E-OBS temperature and precipitation datasets Journal of Geophysics Research: Atmospheres, vol. 123, no. 17, pp. 9391-9409. doi: 10.1029/2017JD028200
- 7. Domínguez-Castro F., Reig F., Vicente-Serrano S.M. et al. (2020). A multidecadal assessment of climate indices over Europe. Scientific Data, vol. 7, 125. https://doi.org/10.1038/s41597-020-0464-0
- 8. Dyras I., Dobesch H., Grueter E. et al. (2005). The use of Geographic Information Systems in climatology and meteorology: COST 719. Meteorological Applications, vol. 12, no. 1, pp. 1-5. doi:10.1017/S1350482705001544
- 9. Harris I., Osborn T.J., Jones P. et al. (2020). Version 4 of the CRU TS monthly high- resolution gridded multivariate climate dataset. Scientific Data, vol. 7, 109. https://doi.org/10.1038/s41597-020-0453-3
- 10. Hofstra N., Haylock M., New M., Jones P.D. (2009). Testing E-OBS European high- resolution gridded data set of daily precipitation and surface temperature. Journal of Geophysics Research: Atmospheres, 114(D21). https://doi.org/10.1029/2009JD011799
- 11. Jaczewski A., Marosz M., Miętus M. (2024). PL1GD-T - gridded dataset of the mean, minimum and maximum daily air temperature at the level of 2 m for the area of Poland at a resolution of 1 km × 1 km, Earth System Science Data Discuss. [preprint] https://doi.org/10.5194/essd-2024-433
- 12. Jiao D., Xu N., Yang F. et al. (2021). Evaluation of spatial-temporal variation performance of ERA5 precipitation data in China. Scientific Reports, vol. 11, 17956. https://doi.org/10.1038/s41598-021-97432-y
- 13. Kalnay et al. (1996). The NCEP/NCAR 40-year reanalysis project. Bulletin of the American Meteorological Society, vol. 77, pp. 437-472. https://doi.org/10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
- 14. Karger D.N., Schmatz D.R., Dettling G. et al. (2020). High-resolution monthly precipitation and temperature time series from 2006 to 2100. Scientific Data, vol. 7, 248. https://doi.org/10.1038/s41597-020-00587-y
- 15. Kistler R., Kalnay E. et al. (2001). The NCEP-NCAR 50-Year Reanalysis: Monthly Means CD-ROM and Documentation. Bulletin of the American Meteorological Society, vol. 82, pp. 247-268. https://doi.org/10.1175/1520-0477(2001)082<0247:TNNYRM>2.3.CO;2
- 16. Miętus M. (ed.) (2009). O przydatności rezultatów globalnych reanaliz NCEP o ERA-40 do opisu warunków termicznych w Polsce (On the usefulness of the results of the NCEP global reanalyses on ERA-40 for describing thermal conditions in Poland). Instytut Meteorologii i Gospodarki Wodnej, p. 89.
- 17. Morice C.P., Kennedy J.J., Rayner N.A., Jones P.D. (2012). Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: the HadCRUT4 dataset. Journal of Geophysical Research, vol. 117, D08101. doi:10.1029/2011JD017187
- 18. Mourtzinis S., Rattalino Edeira J.I., Conely S.P., Grassini P. (2017). From grid to field: Assessing quality of gridded weather data for agricultural applications. European Journal of Agronomy, vol. 82A, pp. 163-172. https://doi.org/10.1016/j.eja.2016.10.013
- 19. Osborn T.J., Jones P.D., Lister D.H., Morice C.P., Simpson I.R., Winn J.P., Hogan E., Harris I.C. (2021). Land surface air temperature variations across the globe updated to 2019: the CRUTEM5 dataset. Journal of Geophysical Research: Atmospheres, vol. 126, e2019JD032352. doi:10.1029/2019JD032352
- 20. Pelosi A., Chirico G.B. (2021). Regional assessment of daily reference evapotranspiration: Can ground observations be replaced by blending ERA5-Land meteorological reanalysis and CM-SAF satellite-based radiation data? Agricultural Water Management, vol. 258, 107169. https://doi.org/10.1016/j.agwat.2021.107169
- 21. Pelosi A., Terribile F., D’Urso G., Chirico G.B. (2020). Comparison of ERA5-Land and UERRA MESCAN-SURFEX Reanalysis Data with Spatially Interpolated Weather Observations for the Regional Assessment of Reference Evapotranspiration. Water vol. 12, no. 6, 1669. https://doi.org/10.3390/w12061669
- 22. Slivinski L.C., Compo G.P., Sardeshmukh P.D., Whitaker J.S., McColl C., Allan R.J., Brohan P., Yin X., Smith C.A., Spencer L.J., Vose R.S., Rohrer M., Conroy R.P., Schuster D.C., Kennedy J.J., Ashcroft L., Brönnimann S., Brunet M., Camuffo D., Cornes R., Cram T.A., Domínguez-Castro F., Freeman J.E., Gergis J., Hawkins E., Jones P.D., Kubota H., Lee T.C., Lorrey A.M., Luterbacher J., Mock C.J., Przybylak R.K., Pudmenzky C., Slonosky V.C., Tinz B., Trewin B., Wang X.L., Wilkinson C., Wood K., Wyszyński P. (2021). An Evaluation of the Performance of the Twentieth Century Reanalysis Version 3. Journal of Climate, vol. 34, no. 4, pp. 1417-1438. https://journals.ametsoc.org/view/journals/clim/34/4/JCLI-D-20-0505.1.xml and open access NOAA IR
- 23. Slivinski L.C., Compo G.P., Whitaker J.S., Sardeshmukh P.D., Giese B.S., McColl C., Allan R., Yin X., Vose R., Titchner H., Kennedy J., Spencer L.J., Ashcroft L., Brönnimann S., Brunet M., Camuffo D., Cornes R., Cram T.A., Crouthamel R., Domínguez‐Castro F., Freeman J.E., Gergis J., Hawkins E., Jones P.D., Jourdain S., Kaplan A., Kubota H., Le Blancq F., Lee T., Lorrey A., Luterbacher J., Maugeri M., Mock C.J., Moore G.K., Przybylak R., Pudmenzky C., Reason C., Slonosky V.C., Smith C., Tinz B., Trewin B., Valente M.A., Wang X.L., Wilkinson C., Wood K., Wyszyński P. (2019). Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system. Quarterly Journal of the Royal Meteorological Society, vol. 145, pp. 2876-2908. doi:10.1002/qj.3598 and open access NOAA IR
- 24. Tveito O.E., Bertalanic R., Bihari Z., Dobesch H., Dolinar M., Domenkiotis Ch., Dumolard P., Helminen J., Hoelzle M., Mensink C., Moita S., Müller-Westermaier G., Lhotellier R., Luna Y., Paul F., Patriche C.V., Salzmann N., Schöner W., Silva A., Szentimrey T., Tran H.V., Ustrnul Z. (2008). Spatialisation of climatological and meteorological information with the support of GIS. In: The use of Geographic Information Systems in climatology and meteorology. COST Office, Luxemburg, pp. 36-151.
- 25. Ustrnul Z. (1997). Zmienność cyrkulacji atmosfery na półkuli północnej w XX wieku (Variability of atmospheric circulation in the northern hemisphere in the 20th century). Materiały Badawcze, 27, Instytut Meteorologii i Gospodarki Wodnej, p. 208.
- 26. Ustrnul Z. (2006). Spatial differentiation of air temperature in Poland using circulation types and GIS. International Journal of Climatology, vol. 26, pp. 1529-1546. https://doi.org/10.1002/joc.1393.
- 27. Ustrnul Z., Czekierda D. (2005). Application of GIS for the development of climatological air temperature maps: an example from Poland. Meteorological Applications, vol. 12, no. 1, pp. 43-50. doi:10.1017/S1350482705001507
- 28. Valler V., Franke J., Brugnara Y. et al. (2024). ModE-RA: a global monthly paleo-reanalysis of the modern era 1421 to 2008. Scientific Data, vol. 11, 36. https://doi.org/10.1038/s41597-023-02733-8
- 29. Wyszkowski A. (ed.). (2001). Zastosowanie danych gridowych w klimatologii i hydrologii (Application of gridded data in climatology and hydrology). Rocznik Fizyczno-Geograficzny, Uniwersytet Gdański, vol. 6, p. 181.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2f8dd8e9-e98c-4d2c-a7d5-889e8491f052
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