@prefix dcat: . @prefix dct: . @prefix foaf: . @prefix gsp: . @prefix locn: . @prefix owl: . @prefix schema: . @prefix vcard: . @prefix xsd: . a schema:DataDownload, schema:Dataset, dcat:Dataset, dcat:Distribution, foaf:Document ; dct:bibliographicCitation "Read the documentation, GEM terms of use and how to cite: https://data.g-e-m.dk/guides. Please get in touch with the GEM secretariat if you need help to cite correctly." ; dct:description "Precipitation, sampled once per hour from an accumulating gauge and converted into an hourly rate. Any phase (liquid or solid) is captured to the extent possible and given as liquid water equivalent. Antifreeze and oil is added to the gauges to limit freezing or evaporation of the bucket contents. Note that the data series has not been corrected for the efficiency of the precipitation gauge in catching precipitation, so called undercatch. This is known to be particulay problematic during high winds, and snow fall. Data from station 653 are quality controlled and used as primary source for precipitation data. Data from station 652 are used to identify false pulses/precipitation on station 653, but not used in the final precipitation time series. Sensor model changes: 2007-05-14 OTT Pluvio, 2012-07-18 OTT PluvioIV, 2013-06-13 OTT Pluvio2. The hourly rainfall rates are derived from the raw bucket weight of the OTT Pluvio2 gauge. From 2007-2022 false events are removed manually. From 2022-present, by applying the \"neutral aggregating filter\" (Smith et al. 2019). Reprocessing of the data back in time using the Smith et al. (2019) method is work in progress." ; dct:identifier "https://data.g-e-m.dk/datasets/10.17897/SXJ8-WA79" ; dct:issued "2026-05-20T13:15:45.086139"^^xsd:dateTime, "2026-05-20T16:13:21.981262"^^xsd:dateTime ; dct:modified "2026-05-20T16:13:21.970313"^^xsd:dateTime, "2026-05-20T16:13:21.973895"^^xsd:dateTime ; dct:publisher [ a foaf:Agent ; foaf:homepage ; foaf:name "Greenland Ecosystem Monitoring" ], [ a foaf:Agent ; foaf:homepage ; foaf:name "Greenland Ecosystem Monitoring" ] ; dct:spatial [ a dct:Location ; locn:geometry "POLYGON ((-51.3431 64.1331, -51.3431 64.1331, -51.3431 64.1331, -51.3431 64.1331))"^^gsp:wktLiteral ] ; dct:temporal [ a dct:PeriodOfTime ; dcat:endDate "2025-12-31"^^xsd:date ; dcat:startDate "2007-05-14"^^xsd:date ], [ a dct:PeriodOfTime ; dcat:endDate "2025-12-31"^^xsd:date ; dcat:startDate "2007-05-14"^^xsd:date ] ; dct:title "precipitation - 60 min rate" ; schema:about [ a schema:Thing ; schema:name "greenland-institute-of-natural-resources" ] ; schema:citation "Read the documentation, GEM terms of use and how to cite: https://data.g-e-m.dk/guides. Please get in touch with the GEM secretariat if you need help to cite correctly." ; schema:creator [ a schema:Organization ; schema:contactPoint [ a schema:ContactPoint ; schema:contactType "customer service" ; schema:name "University of Copenhagen (UCPH - Partner 3)" ; schema:url "https://data.g-e-m.dk/datasets/10.17897/SXJ8-WA79" ] ; schema:name "University of Copenhagen (UCPH - Partner 3)" ] ; schema:dateModified "2026-05-20T16:13:21.970313" ; schema:datePublished "2020-01-01", "2020-01-01T00:00:00" ; schema:description "Precipitation, sampled once per hour from an accumulating gauge and converted into an hourly rate. Any phase (liquid or solid) is captured to the extent possible and given as liquid water equivalent. Antifreeze and oil is added to the gauges to limit freezing or evaporation of the bucket contents. Note that the data series has not been corrected for the efficiency of the precipitation gauge in catching precipitation, so called undercatch. This is known to be particulay problematic during high winds, and snow fall. Data from station 653 are quality controlled and used as primary source for precipitation data. Data from station 652 are used to identify false pulses/precipitation on station 653, but not used in the final precipitation time series. Sensor model changes: 2007-05-14 OTT Pluvio, 2012-07-18 OTT PluvioIV, 2013-06-13 OTT Pluvio2. The hourly rainfall rates are derived from the raw bucket weight of the OTT Pluvio2 gauge. From 2007-2022 false events are removed manually. From 2022-present, by applying the \"neutral aggregating filter\" (Smith et al. 2019). Reprocessing of the data back in time using the Smith et al. 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