FN Archimer Export Format PT J TI Suitability of a lumped rainfall–runoff model for flashy tropical watersheds in New Caledonia BT AF DESCLAUX, Terence LEMONNIER, Hugues GENTHON, Pierre SOULARD, Benoit LE GENDRE, Romain AS 1:1;2:1;3:2,3;4:1;5:1; FF 1:PDG-RBE-LEADNC;2:PDG-RBE-LEADNC;3:;4:PDG-RBE-LEADNC;5:PDG-RBE-LEADNC; C1 IFREMER, Unite Rech Lagons Ecosyst & Aquaculture Durable, Noumea, New Caledonia. Univ Montpellier, CNRS, IRD, Hydrosci Montpellier, Montpellier, France. IRD Noumea, Noumea, New Caledonia. C2 IFREMER, FRANCE UNIV MONTPELLIER, FRANCE IRD, FRANCE SI NOUMEA SAINT VINCENT SE PDG-RBE-LEADNC IN WOS Ifremer jusqu'en 2018 copubli-france copubli-p187 copubli-univ-france IF 2.18 TC 10 UR https://archimer.ifremer.fr/doc/00455/56681/58466.pdf LA English DT Article DE ;hydrological model;ridge-to-reef;GR4H;rainfall-runoff model;integrated modelling;New Caledonia;lagoon;wildfire AB The GR4H lumped hourly rainfall–runoff model was assessed for its integration in a ridge-to-reef modelling framework. Particular attention was paid to rainfall representation, robustness of parameter estimates and ability to reproduce main runoff features. The study was conducted in four tropical mountainous watersheds in New Caledonia, exposed to intense rainfall events, large annual climatic variations triggered by El Niño oscillation, and wildfires. The inverse distance and elevation weighting algorithm outperformed other classical rainfall interpolation methods under data-limited conditions. The time-span of data needed for robust calibration was site-specific and varied from 6–7 years to 10 years, which may be linked to El Niño events and to wildfires. With sufficient data, simulation quality was equivalent during calibration and validation periods. The GR4H model was generally able to simulate both flash floods and large annual variations. The model was more reliable when simulating wet years and watersheds not subject to land-cover changes. PY 2018 SO Hydrological Sciences Journal-journal Des Sciences Hydrologiques SN 0262-6667 PU Taylor & Francis Ltd VL 63 IS 11 UT 000450274900007 BP 1689 EP 1706 DI 10.1080/02626667.2018.1523613 ID 56681 ER EF