Climate Data Pipelines for the 21st Century - Efficient Data Retrieval and Processing

Abstract

Erik and colleagues have created an R-Package for download, temporal aggregation, masking, and statistically interpolating ERA5(-Land) data. The publication within which they present the R-Package (KrigR) itself has just been accepted (https://doi.org/10.1088/1748-9326/ac48b3). In a different publication published previously (https://doi.org/10.1088/1748-9326/ac39bf) Erik and colleagues demonstrated how data obtained through the KrigR framework relate to previously offered ready-made data sets and why they strongly believe that data handling pipelines (rather than ready-made data sets) are the way forward for downstream analyses.

Date
Feb 24, 2022 11:00
Event
Climate Coffee
Location
Online Meeting
Erik Kusch
Erik Kusch
PhD Student

In my research, I focus on statistical approaches to understanding complex processes and patterns in biology using a variety of data banks.