Dataset landingpage: ClimateBasis Disko - Precipitation - Precipitation - 60min sample (mm)

Dataset specification

  • Title: ClimateBasis Disko - Precipitation - Precipitation - 60min sample (mm)
  • Description: Precipitation, sampled once per hour. This timeseries is a continuation of measurements taken at the former town station since 2010. The town station was converted into a GEM climate station in 2016. Precipitation:Precipitation ClimateBasis Disko:The ClimateBasis programme monitors climate and hydrology in Zackenberg, Kobbefjord and Disko (Qeqertarsuaq) and is run by Asiaq - Greenland Survey. The collected data build base-line information on climate variability and trends for all the other sub-programmes within GEM and serve as a trustworthy foundation for adaptation strategies for the Greenlandic society. The stations are embedded in Asiaq’s extensive climate and hydrology monitoring network. Furthermore, the run-off data is delivered to the World Hydrological Cycle Observing System (WHYCOS) and the Global Runoff Data Centre (GRDC) networks.
  • DOI: 10.17897/638X-3Z89 -
  • Location/site: Teleø - -53.5288581848145, 69.2441711425781 (lon-lat wgs84)
  • Date span of the dataset: 2010-07-29 - 2022-12-31

Data originator, license and how to download the dataset

The dataset is a product of the Greenland Ecosystem Monitoring program (GEM): It is free and open data, licensed with terms of use under the Creative Commons CC-BY-SA license: When downloading you will automatically get a terms of use document, describing how to cite the data and other important information.

Download the dataset via this link (registration needed):

Variables measured / columns in dataset

ID Name Unit Data Type Description Date YYYY-MM-DD Date Date of observation Time HH:MM Time Time of observation (WGWT, UTC-3) PRE (mm) mm Number Precipitation observation (sample) quality flag Text Since 2021, the hourly rainfall rates are derived from the raw bucket weight of the OTT Pluvio2 gauge after applying the 'neutral aggregating filter' (Smith et al. 2019). The filtered data are compared with a rain-rate sensor, and the following flags are assigned: 'good' if the second sensor registered rainfall at approximately the same time; 'fair' if the second sensor has no data or shows no rainfall occurring at the same time; 'suspect' if the value in the data corresponds to the registered weight increase after a period of missing data and it is impossible to tell when the corresponding rain event occurred. If it is possible to tell when the event occurred based on the secondary sensor's data, the hourly rates will be indicated at those times, while still being assigned the 'missing' flag to indicate that the primary sensor was not working at the time. 'Suspect' is also assigned to v