<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tyralis, H.</style></author><author><style face="normal" font="default" size="100%">Papacharalampous, G.</style></author><author><style face="normal" font="default" size="100%">Burnetas, A</style></author><author><style face="normal" font="default" size="100%">Langousis, A.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Hydrological post-processing using stacked generalization of quantile regression algorithms: Large-scale application over CONUS</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Hydrology</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070068794&amp;doi=10.1016%2fj.jhydrol.2019.123957&amp;partnerID=40&amp;md5=4a74cbd3be5c3e6fc045d421d21309a6</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">577</style></volume><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>