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Nans Addor
Nans Addor
Fathom
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The CAMELS data set: catchment attributes and meteorology for large-sample studies
N Addor, AJ Newman, N Mizukami, MP Clark
Hydrology and Earth System Sciences 12, 5293–5313, 2017
4612017
The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies–Chile dataset
C Alvarez-Garreton, PA Mendoza, JP Boisier, N Addor, M Galleguillos, ...
Hydrology and Earth System Sciences 22 (11), 5817-5846, 2018
3022018
Robust changes and sources of uncertainty in the projected hydrological regimes of Swiss catchments
N Addor, O Rössler, N Köplin, M Huss, R Weingartner, J Seibert
Water Resources Research 50 (10), 7541-7562, 2014
2432014
A ranking of hydrological signatures based on their predictability in space
N Addor, G Nearing, C Prieto, AJ Newman, N Le Vine, MP Clark
Water Resources Research 54 (11), 8792-8812, 2018
2032018
Legacy, rather than adequacy, drives the selection of hydrological models
N Addor, LA Melsen
Water resources research 55 (1), 378-390, 2019
1672019
Winter melt trends portend widespread declines in snow water resources
KN Musselman, N Addor, JA Vano, NP Molotch
Nature Climate Change 11 (5), 418-424, 2021
1552021
An operational hydrological ensemble prediction system for the city of Zurich (Switzerland): skill, case studies and scenarios
N Addor, S Jaun, F Fundel, M Zappa
Hydrology and Earth System Sciences 15 (7), 2327-2347, 2011
1322011
CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain
G Coxon, N Addor, JP Bloomfield, J Freer, M Fry, J Hannaford, ...
Earth System Science Data 12 (4), 2459-2483, 2020
1132020
Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges
N Addor, HX Do, C Alvarez-Garreton, G Coxon, K Fowler, PA Mendoza
Hydrological Sciences Journal 65 (5), 712-725, 2020
972020
Mapping (dis)agreement in hydrologic projections
L Melsen, N Addor, N Mizukami, A Newman, P Torfs, M Clark, ...
Hydrology and Earth System Sciences 22, 1775-1791, 2018
842018
CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil
VBP Chagas, PLB Chaffe, N Addor, FM Fan, AS Fleischmann, RCD Paiva, ...
Earth System Science Data 12 (3), 2075-2096, 2020
832020
Propagation of biases in climate models from the synoptic to the regional scale: Implications for bias adjustment
N Addor, M Rohrer, R Furrer, J Seibert
Journal of Geophysical Research: Atmospheres 121 (5), 2075-2089, 2016
702016
Bias correction for hydrological impact studies–beyond the daily perspective
N Addor, J Seibert
Hydrological Processes 28 (17), 4823-4828, 2014
582014
Climate change impacts on future snow, ice and rain runoff in a Swiss mountain catchment using multi-dataset calibration
S Etter, N Addor, M Huss, D Finger
Journal of Hydrology: Regional Studies 13, 222-239, 2017
562017
CAMELS-AUS: hydrometeorological time series and landscape attributes for 222 catchments in Australia
KJA Fowler, SC Acharya, N Addor, C Chou, MC Peel
Earth System Science Data Discussions 2021, 1-30, 2021
492021
Hydrological modeling to evaluate climate model simulations and their bias correction
K Hakala, N Addor, J Seibert
Journal of Hydrometeorology 19 (8), 1321-1337, 2018
462018
The influence of natural variability and interpolation errors on bias characterization in RCM simulations
N Addor, EM Fischer
Journal of Geophysical Research: Atmospheres 120 (19), 10,180-10,195, 2015
462015
Caravan-A global community dataset for large-sample hydrology
F Kratzert, G Nearing, N Addor, T Erickson, M Gauch, O Gilon, ...
Scientific Data 10 (1), 61, 2023
412023
Hydrological modeling of climate change impacts
K Hakala, N Addor, C Teutschbein, M Vis, H Dakhlaoui, J Seibert
Encyclopedia of water: Science, technology, and society, 1-20, 2019
362019
Exploring hydrologic model process connectivity at the continental scale through an information theory approach
G Konapala, SC Kao, N Addor
Water Resources Research 56 (10), e2020WR027340, 2020
192020
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Artículos 1–20