ERA5 tiling to SWEREF99

Introduction

The previous posts have dealt with ERA5 climate data, including how to download, extract and correct and fill the data. The complete datasets should now be stored locally in the predefined system of Karttur’s GeoImagine Framework and also registered in the Framework postgres database. This post explains how to tile the global (regional) datasets to the SWEREF99 predefined tiling system.

Prerequisite

This post assumes that you have downloaded the ERA5 datasets, extracted the time series of climate data and fixed projection and land mask issues. It also requires that you have installed Karttur’s GeoImagine Framework.

Tiling of ancillary regions

The ERA5 climate datasets are global in extend and were added to the Framework as ancillary geographic (EPSG:4326) datasets with 0.1 degrees spatial resolution. The Framework process for tiling these time-series to the predefined tile system of SWEREF99 is TileAncillaryRegion.

Framework process: TileAncillaryRegion

Json command file: 0180_TileAncillaryRegion_ERA5-climate.json

## tile ERA5 climate data ##
0180_TileAncillaryRegion_ERA5-climate.json

The complete time-series for both total precipitation and air temperature @ 2 m above ground from 1950 to 2021 amounts to 63900 tiles for SWEREF99. Thus the process will take some time finish.