Abstract
We produced the first daily gridded meteorological dataset at a 1-km spatial resolution across Serbia for 2000–2019, named MeteoSerbia1km. The dataset consists of five daily variables: maximum, minimum and mean temperature, mean sea-level pressure, and total precipitation. In addition to daily summaries, we produced monthly and annual summaries, and daily, monthly, and annual long-term means. Daily gridded data were interpolated using the Random Forest Spatial Interpolation methodology, based on using the nearest observations and distances to them as spatial covariates, together with environmental covariates to make a random forest model. The accuracy of the MeteoSerbia1km daily dataset was assessed using nested 5-fold leave-location-out cross-validation. All temperature variables and sea-level pressure showed high accuracy, although accuracy was lower for total precipitation, due to the discontinuity in its spatial distribution. MeteoSerbia1km was also compared with the E-OBS dataset with a coarser resolution: both datasets showed similar coarse-scale patterns for all daily meteorological variables, except for total precipitation. As a result of its high resolution, MeteoSerbia1km is suitable for further environmental analyses.
Highlights
Meteorological observations are available from various sources, such as Global Historical Climate Network Daily (GHCN-daily)[1], Global Surface Summary of the Day (GSOD)[2], European Climate Assessment & Dataset (ECA&D)[3], and OGIMET4
There is no information from these sources on daily meteorological variable values at unobserved locations, and so gridded meteorological datasets are made
We developed the MeteoSerbia1km dataset, the first daily gridded meteorological dataset at a 1-km spatial resolution across Serbia, for the period 2000–2019
Summary
Meteorological observations are available from various sources, such as Global Historical Climate Network Daily (GHCN-daily)[1], Global Surface Summary of the Day (GSOD)[2], European Climate Assessment & Dataset (ECA&D)[3], and OGIMET4. Various sources of daily gridded meteorological datasets on global and regional levels cover the territory of Serbia. High-resolution daily gridded meteorological datasets are available for other regions[15,16,17,18,19,20,21], but so far there has not been one for Serbia. With this in mind, we developed the MeteoSerbia1km dataset, the first daily gridded (gap-free) meteorological dataset at a 1-km spatial resolution across Serbia, for the period 2000–2019. The dataset will be improved in the future with further developments in the RFSI methodology, adding additional environmental covariates and including national meteorological observations
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
