Kamu erişimi zorunlu olan makaleler - Hamid MoradkhaniDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 10
In-situ and triple-collocation based evaluations of eight global root zone soil moisture products
L Xu, N Chen, X Zhang, H Moradkhani, C Zhang, C Hu
Remote Sensing of Environment 254, 2021
Zorunlu olanlar: National Natural Science Foundation of China
Centennial drought outlook over the CONUS using NASA‐NEX downscaled climate ensemble
A Ahmadalipour, H Moradkhani, M Svoboda
International Journal of Climatology 37 (5), 2477-2491, 2017
Zorunlu olanlar: US National Oceanic and Atmospheric Administration
Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation
S Pathiraja, L Marshall, A Sharma, H Moradkhani
Advances in water resources 94, 103-119, 2016
Zorunlu olanlar: Australian Research Council
An effective post-processing of the North American multi-model ensemble (NMME) precipitation forecasts over the continental US
S Khajehei, A Ahmadalipour, H Moradkhani
Climate dynamics 51, 457-472, 2018
Zorunlu olanlar: US National Oceanic and Atmospheric Administration
Toward more robust extreme flood prediction by Bayesian hierarchical and multimodeling
H Yan, H Moradkhani
Natural Hazards 81, 203-225, 2016
Zorunlu olanlar: US National Science Foundation
Assessing the impact of CMIP5 climate multi-modeling on estimating the precipitation seasonality and timing
MC Demirel, H Moradkhani
Climatic change 135, 357-372, 2016
Zorunlu olanlar: US Department of Energy
Spatial, temporal and frequency based climate change assessment in Columbia River Basin using multi downscaled-scenarios
A Rana, H Moradkhani
Climate Dynamics 47, 579-600, 2016
Zorunlu olanlar: US Department of Energy
Precipitation extremes and their relation to climatic indices in the Pacific Northwest USA
M Zarekarizi, A Rana, H Moradkhani
Climate Dynamics 50, 4519-4537, 2018
Zorunlu olanlar: US Department of Energy
Insights on the impact of systematic model errors on data assimilation performance in changing catchments
S Pathiraja, D Anghileri, P Burlando, A Sharma, L Marshall, H Moradkhani
Advances in Water Resources 113, 202-222, 2018
Zorunlu olanlar: Australian Research Council, German Research Foundation, Government of Italy
Challenges for Appropriate Characterization of Compound Coastal Hazards
H Moftakhari, DF Muñoz, JY Song, A Alipour, H Moradkhani
Geo-Extreme 2021, 58-68, 2021
Zorunlu olanlar: US National Science Foundation
Bir yerde sunuluyor: 89
Downscaling SMAP radiometer soil moisture over the CONUS using an ensemble learning method
P Abbaszadeh, H Moradkhani, X Zhan
Water Resources Research 55 (1), 324-344, 2019
Zorunlu olanlar: US National Oceanic and Atmospheric Administration
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index
L Xu, P Abbaszadeh, H Moradkhani, N Chen, X Zhang
Remote Sensing of Environment 250, 112028, 2020
Zorunlu olanlar: US National Oceanic and Atmospheric Administration
Multi-criteria evaluation of CMIP5 GCMs for climate change impact analysis
A Ahmadalipour, A Rana, H Moradkhani, A Sharma
Theoretical and applied climatology 128, 71-87, 2017
Zorunlu olanlar: US Department of Energy
MXenes: The two-dimensional influencers
MD Firouzjaei, M Karimiziarani, H Moradkhani, M Elliott, B Anasori
Materials Today Advances 13, 100202, 2022
Zorunlu olanlar: US National Science Foundation
Enhancing hydrologic data assimilation by evolutionary particle filter and Markov chain Monte Carlo
P Abbaszadeh, H Moradkhani, H Yan
Advances in Water Resources 111, 192-204, 2018
Zorunlu olanlar: US National Science Foundation
DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting
K Gavahi, P Abbaszadeh, H Moradkhani
Expert Systems with Applications 184, 115511, 2021
Zorunlu olanlar: US National Science Foundation
Multi-model ensemble analysis of runoff extremes for climate change impact assessments
MR Najafi, H Moradkhani
Journal of Hydrology 525, 352-361, 2015
Zorunlu olanlar: US Department of Energy
A Bayesian hierarchical approach to multivariate nonstationary hydrologic frequency analysis
C Bracken, KD Holman, B Rajagopalan, H Moradkhani
Water Resources Research 54 (1), 243-255, 2018
Zorunlu olanlar: US National Oceanic and Atmospheric Administration
Hydrologic modeling in dynamic catchments: A data assimilation approach
S Pathiraja, L Marshall, A Sharma, H Moradkhani
Water Resources Research 52 (5), 3350-3372, 2016
Zorunlu olanlar: Australian Research Council
A comparative assessment of projected meteorological and hydrological droughts: elucidating the role of temperature
A Ahmadalipour, H Moradkhani, MC Demirel
Journal of Hydrology 553, 785-797, 2017
Zorunlu olanlar: US National Oceanic and Atmospheric Administration
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