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PREFIX : <https://catalogue.ceh.ac.uk/id/>
:74a588cc-723c-4a35-ac0c-223f5b92ee36
dcterms:title "High-resolution satellite-gauge merged precipitation climatologies of the tropical Andes" ;
dcterms:identifier "https://catalogue.ceh.ac.uk/id/74a588cc-723c-4a35-ac0c-223f5b92ee36","https://doi.org/10.5285/74a588cc-723c-4a35-ac0c-223f5b92ee36" ;
dcterms:bibliographicCitation "Manz, B., Buytaert, W., Zulkafli, Z., Lavado, W., Willems, B., Robles, L.A., Rodríguez Sánchez, J.-. (2016). High-resolution satellite-gauge merged precipitation climatologies of the tropical Andes. NERC Environmental Information Data Centre. https://doi.org/10.5285/74a588cc-723c-4a35-ac0c-223f5b92ee36" ;
dcterms:description "A set of 130 digital precipitation maps of the tropical Andes, covering Colombia, Ecuador and Peru at a 5km resolution. The maps represent different realizations of mean precipitation totals of the period 1981-2010 using different satellite-gauge merging methods. The work draws on a large database of 723 rain gauges and the full 5km Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (TPR) record from 1998 to 2014. Each map is approximately 1MB" ;
dcterms:provenance [
a dcterms:ProvenanceStatement ;
rdfs:label "TRMM Precipitation Radar data, product 2A25, was obtained from NASA for the period Jan 1998 to Oct 2014. Individual orbital scans were converted into time-series and re-projected onto a regular UTM grid (5 km) in R (statistical software), which allowed averaging over time to obtain mean monthly and annual climatological rainfall fields (regular raster grids) from the TPR (in R). Monthly or daily rain gauge time-series for the period 1981-2010 were obtained from IDEAM (Colombia), INAMHI (Ecuador), SENAMHI (Peru), SENAMHI (Bolivia) and NOAA (USA) and mean monthly and annual climatological values were determined for every gauge using a bespoke R script. Gauging station coordinates are re-projected into UTM (in R). Satellite-gauge merging as described in the supporting information was conducted using bespoke R scripts. Following generation of the final merged climatological precipitation fields (regular raster grids) these are converted from R to GeoTIFF (.tif)."
] ;
dcterms:spatial [
a dcterms:Location ;
dcat:bbox "POLYGON((-83.18 -18.442, -83.18 13.443, -64.678 13.443, -64.678 -18.442, -83.18 -18.442))"^^geo:wktLiteral ;
] ;
dcterms:temporal
[ a dcterms:PeriodOfTime ;
dcat:startDate "1981-01-01"^^xsd:date ;
dcat:endDate "2014-12-31"^^xsd:date ;
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<https://doi.org/10.1002/wat2.1262>,
<https://doi.org/10.3390/rs10081316>,
<https://doi.org/10.1038/sdata.2018.80> ;
dcterms:subject
"Colombia",
"Ecuador",
<http://sws.geonames.org/3932488>,
<http://www.eionet.europa.eu/gemet/concept/637> ;
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dcterms:type dcmitype:Dataset ;
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dcterms:license <https://spdx.org/licenses/OGL-UK-3.0.ttl>
;
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odrs:copyrightNotice "copyright NERC/ Bastian Manz";
]
;
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foaf:name "Manz, B." ;
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dcterms:bibliographicCitation "Paul, J.D., Buytaert, W., Allen, S., Ballesteros‐Cánovas, J.A., Bhusal, J., Cieslik, K., ... Supper, R. (2017). Citizen science for hydrological risk reduction and resilience building. WIREs Water, 5(1).";
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dcterms:bibliographicCitation "Bai, P., & Liu, X. (2018). Evaluation of Five Satellite-Based Precipitation Products in Two Gauge-Scarce Basins on the Tibetan Plateau. Remote Sensing, 10(8), 1316.";
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dcterms:bibliographicCitation "Ochoa-Tocachi, B.F., Buytaert, W., Antiporta, J., Acosta, L., Bardales, J.D., Célleri, R., ... De Bièvre, B. (2018). High-resolution hydrometeorological data from a network of headwater catchments in the tropical Andes. Scientific Data, 5(1).";
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