74a588cc-723c-4a35-ac0c-223f5b92ee36 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-19T15:26:49 UK GEMINI 2.3 WGS 84 High-resolution satellite-gauge merged precipitation climatologies of the tropical Andes 2016-01-14 publication https://catalogue.ceh.ac.uk/id/74a588cc-723c-4a35-ac0c-223f5b92ee36 10.5285/74a588cc-723c-4a35-ac0c-223f5b92ee36 doi: 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 10.5285/74a588cc-723c-4a35-ac0c-223f5b92ee36 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 Full details about this dataset can be found at https://doi.org/10.5285/74a588cc-723c-4a35-ac0c-223f5b92ee36 Manz, B. Imperial College London bastian.manz10@imperial.ac.uk pointOfContact Manz, B. Imperial College London bastian.manz10@imperial.ac.uk author Buytaert, W. Imperial College London w.buytaert@imperial.ac.uk author Zulkafli, Z. Imperial College, Universiti Putra Malaysia z.zulkafli10@imperial.ac.uk author Lavado, W. Servicio Nacional de Meteorología e Hidrología del Perú (SENAMHI) Waldo.lavado@gmail.com author Willems, B. Universidad Nacional Mayor de San Marcos bwillems@cca.org.pe author Robles, L.A. Universidad Nacional Mayor de San Marcos albert.physik@gmail.com author Rodríguez Sánchez, J.-. Universidad de los Andes pabl-rod@uniandes.edu.co author NERC Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian notPlanned atmospheric precipitation GEMET - Concepts, version 4.1.3 2019-01-28 creation Peru GeoNames 2006-01-01 creation Colombia Ecuador otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © NERC/ Bastian Manz otherRestrictions If you reuse this data, you should cite: 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 grid 1000 English utf8 climatologyMeteorologyAtmosphere 1981-01-01 2014-12-31 -83.18 -64.678 -18.442 13.443 TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/sd/74a588cc-723c-4a35-ac0c-223f5b92ee36.zip Supporting documentation Supporting information available to assist in re-use of this dataset information https://data-package.ceh.ac.uk/data/74a588cc-723c-4a35-ac0c-223f5b92ee36 Download the data Download a copy of this data download dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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).