MeteoSerbia1km: the first daily gridded meteorological dataset at a 1-km spatial resolution across Serbia for the 2000–2019 period

MeteoSerbia1km is the first daily gridded meteorological dataset at a 1-km spatial resolution across Serbia for the 2000–2019 period. The dataset consists of five daily variables: maximum, minimum and mean temperature, mean sea level pressure, and total precipitation. Besides daily summaries, it contains monthly and annual summaries, daily, monthly, and annual long term means (LTM). Daily gridded data were interpolated using the Random Forest Spatial Interpolation methodology based on Random Forest and using nearest observations and distances to them as spatial covariates, together with environmental covariates.

Complete script in R and datasets used for modelling, tuning, validation, and prediction of daily meteorological variables are available here.

If you discover a bug, artifact or inconsistency in the MeteoSerbia1km maps, or if you have a question please use this channel.

File naming convention of .zip files and containing MeteoSerbia1km files:

Daily summaries per year: day_yyyy_proj.zip

var_day_yyyymmdd_proj.tif

Monthly summaries: mon_proj.zip

var_mon_yyyymm_proj.tif

Annual summaries: ann_proj.zip

var_ann_yyyy_proj.tif

Daily, monthly and annual LTM: ltm_proj.zip

daily LTM: var_ltm_day_mmdd_proj.tif

monthly LTM: var_ltm_mon_mm_proj.tif

annual LTM: var_ltm_ann_proj.tif

where:

var is a daily meteorological variable name - tmax, tmin, tmean, slp, or prcp

proj is a dataset projection - wgs84 or utm34

Units of the dataset values are

temperature (Tmean, Tmax, and Tmin) - tenths of a degree in the Celsius scale (℃)

SLP - tenths of a mbar

PRCP - tenths of a mm

All dataset values are stored as integers (INT32 data type) in order to reduce the size of the GeoTIFF files, i.e., temperature values should be divided by 10 to obtain degrees Celsius, and the same for SLP and PRCP to obtain millibars and millimeters.