G2DC-PL+: a gridded 2 km daily climate dataset for the union of the Polish territory and the Vistula and Odra basins

作者: Tomasz Berezowski , Mikołaj Piniewski , Mateusz Szcześniak , Ignacy Kardel , Somsubhra Chattopadhyay

DOI: 10.5194/ESSD-13-1273-2021

关键词: Environmental scienceWind speedForcing (mathematics)ClimatologyMean squared errorStandard deviationPrecipitationKrigingRadiative forcingHydrological modelling

摘要: Abstract. G2DC-PL + , a gridded 2  km daily climate dataset for the union of the Polish territory and Vistula Odra basins, is an update and extension of CHASE-PL Forcing Data – Gridded Daily Precipitation and Temperature Dataset 5  (CPLFD-GDPT5). The latter was first publicly available, high-resolution forcing in Poland, used for range purposes including hydrological modelling bias correction of projections. While spatial coverage new remained the same, it has undergone several major changes: (1) time was increased from 1951–2013 to 1951–2019; (2) its resolution increased from 5 ; (3) number stations used interpolation of temperature precipitation approximately doubled; (4) addition to precipitation temperature, consists relative humidity and wind speed data. main purpose developing this product need long-term areal data earth-system modelling, particularly hydrological modelling. Geostatistical methods (kriging) were for interpolation studied variables. kriging cross-validation revealed improved performance compared original dataset expressed by median root mean squared errors standardized by standard deviation observations (0.59 vs. 0.79). Kriging were negatively correlated with station density only period 1951–1970. Values error normalized (RMSEsd) equal 0.52 0.4 minimum maximum temperature, respectively, suggesting small moderate improvement over the original dataset. Relative wind exhibited lower performance, RMSEsd 0.82 0.87, respectively. The dataset openly available 4TU Centre Research at https://doi.org/10.4121/uuid:a3bed3b8-e22a-4b68-8d75-7b87109c9feb ( Piniewski et al. ,  2020 ) .

参考文章(45)
J. G. Arnold, R. Srinivasan, R. S. Muttiah, J. R. Williams, Large Area Hydrologic Modeling and Assessment Part i: Model Development Journal of The American Water Resources Association. ,vol. 34, pp. 73- 89 ,(1998) , 10.1111/J.1752-1688.1998.TB05961.X
Sixto Herrera, José M Gutiérrez, R Ancell, MR Pons, MD Frías, J Fernández, None, Development and analysis of a 50-year high-resolution daily gridded precipitation dataset over Spain (Spain02) International Journal of Climatology. ,vol. 32, pp. 74- 85 ,(2012) , 10.1002/JOC.2256
Edzer J Pebesma, Multivariable geostatistics in S: the gstat package $ Computers & Geosciences. ,vol. 30, pp. 683- 691 ,(2004) , 10.1016/J.CAGEO.2004.03.012
Matthias Pfannerstill, Björn Guse, Nicola Fohrer, Smart low flow signature metrics for an improved overall performance evaluation of hydrological models Journal of Hydrology. ,vol. 510, pp. 447- 458 ,(2014) , 10.1016/J.JHYDROL.2013.12.044
George H. Hargreaves, Moisture availability and crop production. Transactions of the ASABE. ,vol. 18, pp. 980- 0984 ,(1975) , 10.13031/2013.36722
Lu Li, Cosmo S. Ngongondo, Chong-Yu Xu, Lebing Gong, Comparison of the global TRMM and WFD precipitation datasets in driving a large-scale hydrological model in southern Africa Hydrology Research. ,vol. 44, pp. 770- 788 ,(2013) , 10.2166/NH.2012.175
Katharine Hayhoe, Cameron Wake, Bruce Anderson, Xin-Zhong Liang, Edwin Maurer, Jinhong Zhu, James Bradbury, Art DeGaetano, Anne Marie Stoner, Donald Wuebbles, Regional climate change projections for the Northeast USA Mitigation and Adaptation Strategies for Global Change. ,vol. 13, pp. 425- 436 ,(2008) , 10.1007/S11027-007-9133-2
J.J. Carrera-Hernández, S.J. Gaskin, Spatio temporal analysis of daily precipitation and temperature in the Basin of Mexico Journal of Hydrology. ,vol. 336, pp. 231- 249 ,(2007) , 10.1016/J.JHYDROL.2006.12.021