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

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

From MaRDI portal
(Redirected from Dataset:6720023)



DOI10.5281/zenodo.4058167Zenodo4058167MaRDI QIDQ6720023

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 19 October 2020

Copyright license: No records found.



Description

MeteoSerbia1km is the first daily gridded meteorological dataset at a 1-km spatial resolution across Serbia for the 20002019 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 andusing 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: varis a dailymeteorological variable name - tmax, tmin, tmean, slp, or prcp projis adataset 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.






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