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Juliane Mai
Juliane Mai
University of Waterloo
Bestätigte E-Mail-Adresse bei freenet.de - Startseite
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Zitiert von
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Multiscale evaluation of the Standardized Precipitation Index as a groundwater drought indicator
R Kumar, JL Musuuza, AF Van Loon, AJ Teuling, R Barthel, J Ten Broek, ...
Hydrology and Earth System Sciences 20 (3), 1117-1131, 2016
1912016
Multiscale and multivariate evaluation of water fluxes and states over European river basins
O Rakovec, R Kumar, J Mai, M Cuntz, S Thober, M Zink, S Attinger, ...
Journal of Hydrometeorology 17 (1), 287-307, 2016
1552016
The German drought monitor
M Zink, L Samaniego, R Kumar, S Thober, J Mai, D Schäfer, A Marx
Environmental Research Letters 11 (7), 074002, 2016
1462016
Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model
MC Demirel, J Mai, G Mendiguren, J Koch, L Samaniego, S Stisen
Hydrology and Earth System Sciences 22 (2), 1299-1315, 2018
1452018
The impact of standard and hard‐coded parameters on the hydrologic fluxes in the Noah‐MP land surface model
M Cuntz, J Mai, L Samaniego, M Clark, V Wulfmeyer, O Branch, S Attinger, ...
Journal of Geophysical Research: Atmospheres 121 (18), 10,676-10,700, 2016
1362016
Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity
M Schrön, M Köhli, L Scheiffele, J Iwema, HR Bogena, L Lv, E Martini, ...
Hydrology and Earth System Sciences 21 (10), 5009-5030, 2017
1272017
Seasonal soil moisture drought prediction over Europe using the North American Multi-Model Ensemble (NMME)
S Thober, R Kumar, J Sheffield, J Mai, D Schäfer, L Samaniego
Journal of Hydrometeorology 16 (6), 2329-2344, 2015
1132015
The proper care and feeding of CAMELS: How limited training data affects streamflow prediction
M Gauch, J Mai, J Lin
Environmental Modelling & Software 135, 104926, 2021
1092021
Flexible watershed simulation with the Raven hydrological modelling framework
JR Craig, G Brown, R Chlumsky, RW Jenkinson, G Jost, K Lee, J Mai, ...
Environmental Modelling & Software 129, 104728, 2020
962020
Conditioning a hydrologic model using patterns of remotely sensed land surface temperature
M Zink, J Mai, M Cuntz, L Samaniego
Water Resources Research 54 (4), 2976-2998, 2018
762018
Time to update the split‐sample approach in hydrological model calibration
H Shen, BA Tolson, J Mai
Water Resources Research 58 (3), e2021WR031523, 2022
742022
Computationally inexpensive identification of noninformative model parameters by sequential screening
M Cuntz, J Mai, M Zink, S Thober, R Kumar, D Schäfer, M Schrön, ...
Water Resources Research 51 (8), 6417-6441, 2015
612015
The importance of topography-controlled sub-grid process heterogeneity and semi-quantitative prior constraints in distributed hydrological models
RC Nijzink, L Samaniego, J Mai, R Kumar, S Thober, M Zink, D Schäfer, ...
Hydrology and Earth System Sciences 20 (3), 1151-1176, 2016
552016
The multiscale routing model mRM v1. 0: Simple river routing at resolutions from 1 to 50 km
S Thober, M Cuntz, M Kelbling, R Kumar, J Mai, L Samaniego
Geoscientific Model Development 12 (6), 2501-2521, 2019
492019
Use of eigendecomposition in a parameter sensitivity analysis of the Community Land Model
M Göhler, J Mai, M Cuntz
Journal of Geophysical Research: Biogeosciences 118 (2), 904-921, 2013
412013
The great lakes runoff intercomparison project phase 4: the great lakes (GRIP-GL)
J Mai, H Shen, BA Tolson, É Gaborit, R Arsenault, JR Craig, V Fortin, ...
Hydrology and Earth System Sciences 26 (13), 3537-3572, 2022
402022
Parametric soil water retention models: a critical evaluation of expressions for the full moisture range
R Madi, GH de Rooij, H Mielenz, J Mai
Hydrology and Earth System Sciences 22 (2), 1193-1219, 2018
402018
A 10 km North American precipitation and land-surface reanalysis based on the GEM atmospheric model
N Gasset, V Fortin, M Dimitrijevic, M Carrera, B Bilodeau, R Muncaster, ...
Hydrol. Earth Syst. Sci. 25, 4917–4945, 2021
392021
Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models
R Arsenault, JL Martel, F Brunet, F Brissette, J Mai
Hydrology and Earth System Sciences 27 (1), 139-157, 2023
382023
Transcriptional signatures of regulatory and toxic responses to benzo-[a]-pyrene exposure
JJ Michaelson, S Trump, S Rudzok, C Gräbsch, DJ Madureira, F Dautel, ...
BMC genomics 12, 1-14, 2011
372011
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