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سمتهای علمی و اجرایی حمید مرادخانی در مجلات و ژورنال‌های معتبر ایران
- فصلنامه مهندسی عمران و محیط زیست دانشگاه تبریز (هیات تحریریه)
- مجله آب و فاضلاب (هیات تحریریه)
مقالات بین المللی حمید مرادخانی
"Gratitude for the Time and Expertise of Our Valued 2022 Reviewers", American Geophysical Union (AGU), (2023), Vol 59, No 6:
"Block-level vulnerability assessment reveals disproportionate impacts of natural hazards across the conterminous United States", Springer Science and Business Media LLC, (2023), Vol 14, No 1:
"Identifying trends in interpretation and responses to hurricane and climate change communication tools", Elsevier BV, (2023), Vol 93, No : 103752
"Social response and Disaster management: Insights from twitter data Assimilation on Hurricane Ian", Elsevier BV, (2023), Vol 95, No : 103865
"Fast Flood Extent Monitoring With SAR Change Detection Using Google Earth Engine", Institute of Electrical and Electronics Engineers (IEEE), (2023), Vol 61, No : 1-19
"MXenes: The two-dimensional influencers", Elsevier BV, (2022), Vol 13, No : 100202
"Accounting for uncertainties in compound flood hazard assessment: The value of data assimilation", Elsevier BV, (2022), Vol 171, No : 104057
"Hazard risk awareness and disaster management: Extracting the information content of twitter data", Elsevier BV, (2022), Vol 77, No : 103577
"Bayesian Multi-modeling of Deep Neural Nets for Probabilistic Crop Yield Prediction", Elsevier BV, (2022), Vol 314, No : 108773
"Thank You to Our 2021 Reviewers", American Geophysical Union (AGU), (2022), Vol 58, No 4:
"How can we use Data Assimilation for Real-Time Probabilistic Flood Inundation Mapping?", Copernicus GmbH, (2022), Vol , No :
"Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting", Elsevier BV, (2022), Vol 25, No 10: 105201
"Large-scale compound flood mapping with deep learning and data fusion techniques", Copernicus GmbH, (2021), Vol , No :
"Long Short-Term Memory Networks for Real-Time Runoff Forecasting using Remotely Sensed Data", Copernicus GmbH, (2021), Vol , No :
"In-situ and triple-collocation based evaluations of eight global root zone soil moisture products", Elsevier BV, (2021), Vol 254, No : 112248
"High-Resolution SMAP Satellite Soil Moisture Product: Exploring the Opportunities", American Meteorological Society, (2021), Vol 102, No 4: 309-315
"Sub-regional groundwater storage recovery in North China Plain after the South-to-North water diversion project", Elsevier BV, (2021), Vol 597, No : 126156
"Decreasing water resources in Southeastern U.S. as observed by the GRACE satellites", IWA Publishing, (2021), Vol 23, No 4: 1017-1029
"A Probabilistic Framework for Agricultural Drought Forecasting Using the Ensemble Data Assimilation and Bayesian Multivariate Modeling", Wiley, (2021), Vol , No : 147-164
"From local to regional compound flood mapping with deep learning and data fusion techniques", Elsevier BV, (2021), Vol 782, No : 146927
"Supplementary material to "Real-time coastal flood hazard assessment using DEM-based hydrogeomorphic classifiers"", Copernicus GmbH, (2021), Vol , No :
"Real-time coastal flood hazard assessment using DEM-based hydrogeomorphic classifiers", Copernicus GmbH, (2021), Vol , No :
"Toward improved river boundary conditioning for simulation of extreme floods", Elsevier BV, (2021), Vol 158, No : 104059
"DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting", Elsevier BV, (2021), Vol 184, No : 115511
"Fusing Multisource Data to Estimate the Effects of Urbanization, Sea Level Rise, and Hurricane Impacts on Long-Term Wetland Change Dynamics", Institute of Electrical and Electronics Engineers (IEEE), (2021), Vol 14, No : 1768-1782
"A Place-based Assessment of Flash Flood Hazard and Vulnerability in the Contiguous United States", Springer Science and Business Media LLC, (2020), Vol 10, No 1:
"Leveraging machine learning for predicting flash flood damage in the Southeast US", IOP Publishing, (2020), Vol 15, No 2: 024011
"Drought and food security in the middle east: An analytical framework", Elsevier BV, (2020), Vol 281, No : 107816
"Towards an Effective and Scalable Hybrid Data Assimilation for Hydrogeophysical Applications", Copernicus GmbH, (2020), Vol , No :
"Combining clustering and classification for the regionalization of environmental model parameters: Application to floodplain mapping in data-scarce regions", Elsevier BV, (2020), Vol 125, No : 104613
"Spatiotemporal Evolution of Heat Wave Severity and Coverage Across the United States", American Geophysical Union (AGU), (2020), Vol 47, No 9:
"Assessing flash flood hazard and damages in the southeast United States", Wiley, (2020), Vol 13, No 2:
"Drought Vulnerability in the United States: An Integrated Assessment", MDPI AG, (2020), Vol 12, No 7: 2033
"Multivariate remotely sensed and in-situ data assimilation for enhancing community WRF-Hydro model forecasting", Elsevier BV, (2020), Vol 145, No : 103721
"Multivariate Assimilation of Remotely Sensed Soil Moisture and Evapotranspiration for Drought Monitoring", American Meteorological Society, (2020), Vol 21, No 10: 2293-2308
"Near‐real‐time one‐kilometre Soil Moisture Active Passive soil moisture data product", Wiley, (2020), Vol 34, No 21: 4083-4096
"Enabling incremental adaptation in disadvantaged communities: polycentric governance with a focus on non-financial capital", Informa UK Limited, (2020), Vol 21, No 3: 396-405
"Comparing public perceptions of sea level rise with scientific projections across five states of the U.S. Gulf Coast region", Springer Science and Business Media LLC, (2020), Vol 163, No 1: 317-335
"Regionalization of stage-discharge rating curves for hydrodynamic modeling in ungauged basins", Elsevier BV, (2020), Vol 589, No : 125165
"Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index", Elsevier BV, (2020), Vol 250, No : 112028
"Mortality risk from heat stress expected to hit poorest nations the hardest", Springer Science and Business Media LLC, (2019), Vol 152, No 3-4: 569-579
"Drought recovery in terrestrial and riverine ecosystems of the CONUS: Considering vegetation productivity and water quality", Wiley, (2019), Vol , No :
"Remote Sensing of Water Use Efficiency and Terrestrial Drought Recovery across the Contiguous United States", MDPI AG, (2019), Vol 11, No 6: 731
"Hydrological drought persistence and recovery over the CONUS: A multi-stage framework considering water quantity and quality", Elsevier BV, (2019), Vol 150, No : 97-110
"Future drought risk in Africa: Integrating vulnerability, climate change, and population growth", Elsevier BV, (2019), Vol 662, No : 672-686
"Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning", Springer Science and Business Media LLC, (2019), Vol 9, No 1:
"A data-driven analysis of flash flood hazard, fatalities, and damages over the CONUS during 1996–2017", Elsevier BV, (2019), Vol 578, No : 124106
"Revisiting hydrological drought propagation and recovery considering water quantity and quality", Wiley, (2019), Vol 33, No 10: 1492-1505
"Fundamentals of Data Assimilation and Theoretical Advances", Springer Berlin Heidelberg, (2019), Vol , No : 675-699
"Agricultural Drought Monitoring Over Iraq Utilizing MODIS Products", Springer International Publishing, (2019), Vol , No : 253-278
"Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo", Elsevier BV, (2018), Vol 111, No : 192-204
"Apprehensive Drought Characteristics over Iraq: Results of a Multidecadal Spatiotemporal Assessment", MDPI AG, (2018), Vol 8, No 2: 58
"Effects of recent temperature variability and warming on the Oulu-Hailuoto ice road season in the northern Baltic Sea", Elsevier BV, (2018), Vol 151, No : 1-8
"Escalating heat-stress mortality risk due to global warming in the Middle East and North Africa (MENA)", Elsevier BV, (2018), Vol 117, No : 215-225
"Toward improving drought monitoring using the remotely sensed soil moisture assimilation: A parallel particle filtering framework", Elsevier BV, (2018), Vol 216, No : 456-471
"Multi-dimensional assessment of drought vulnerability in Africa: 1960–2100", Elsevier BV, (2018), Vol 644, No : 520-535
"Insights on the impact of systematic model errors on data assimilation performance in changing catchments", Elsevier BV, (2018), Vol 113, No : 202-222
"Fundamentals of Data Assimilation and Theoretical Advances", Springer Berlin Heidelberg, (2018), Vol , No : 1-26
"Towards an improved ensemble precipitation forecast: A probabilistic post-processing approach", Elsevier BV, (2017), Vol 546, No : 476-489
"Accounting for downscaling and model uncertainty in fine-resolution seasonal climate projections over the Columbia River Basin", Springer Science and Business Media LLC, (2017), Vol 50, No 1-2: 717-733
"Drought Frequency Characterization in Spain by Means of T Analysis", CRC Press, (2017), Vol , No : 505-516
"A probabilistic drought forecasting framework: A combined dynamical and statistical approach", Elsevier BV, (2017), Vol 548, No : 291-304
"A comparative assessment of projected meteorological and hydrological droughts: Elucidating the role of temperature", Elsevier BV, (2017), Vol 553, No : 785-797
"Analyzing the uncertainty of ensemble-based gridded observations in land surface simulations and drought assessment", Elsevier BV, (2017), Vol 555, No : 557-568
"Precipitation extremes and their relation to climatic indices in the Pacific Northwest USA", Springer Science and Business Media LLC, (2017), Vol 50, No 11-12: 4519-4537
"An effective post-processing of the North American multi-model ensemble (NMME) precipitation forecasts over the continental US", Springer Science and Business Media LLC, (2017), Vol 51, No 1-2: 457-472
"Ensemble Combination of Seasonal Streamflow Forecasts", American Society of Civil Engineers (ASCE), (2016), Vol 21, No 1:
"Understanding the joint behavior of temperature and precipitation for climate change impact studies", Springer Science and Business Media LLC, (2016), Vol 129, No 1-2: 321-339
"Combined assimilation of streamflow and satellite soil moisture with the particle filter and geostatistical modeling", Elsevier BV, (2016), Vol 94, No : 364-378
"Remote Sensing of Drought: Vegetation, Soil Moisture, and Data Assimilation", Springer International Publishing, (2016), Vol , No : 121-149
"Hydrologic modeling in dynamic catchments: A data assimilation approach", American Geophysical Union (AGU), (2016), Vol 52, No 5: 3350-3372
"Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation", Elsevier BV, (2016), Vol 94, No : 103-119
"Analysis of dam-induced cyclic patterns on river flow dynamics", Informa UK Limited, (2016), Vol 62, No 4: 626-641
"Multi-model ensemble analysis of runoff extremes for climate change impact assessments", Elsevier BV, (2015), Vol 525, No : 352-361
"Analyzing the sensitivity of drought recovery forecasts to land surface initial conditions", Elsevier BV, (2015), Vol 526, No : 89-100
"Spatial, temporal and frequency based climate change assessment in Columbia River Basin using multi downscaled-scenarios", Springer Science and Business Media LLC, (2015), Vol 47, No 1-2: 579-600
"Toward more robust extreme flood prediction by Bayesian hierarchical and multimodeling", Springer Science and Business Media LLC, (2015), Vol 81, No 1: 203-225
"Improving Soil Moisture Profile Prediction With the Particle Filter-Markov Chain Monte Carlo Method", Institute of Electrical and Electronics Engineers (IEEE), (2015), Vol 53, No 11: 6134-6147
"Assessing the impact of CMIP5 climate multi-modeling on estimating the precipitation seasonality and timing", Springer Science and Business Media LLC, (2015), Vol 135, No 2: 357-372
"Multi-criteria evaluation of CMIP5 GCMs for climate change impact analysis", Springer Science and Business Media LLC, (2015), Vol 128, No 1-2: 71-87
"Hybrid Hydrologic Modeling", CRC Press, (2014), Vol , No : 347-368
"Spatio-temporal drought forecasting within Bayesian networks", Elsevier BV, (2014), Vol 512, No : 134-146
"Examining the Reliability of Hydrologic Drought-Risk Forecasting at Seasonal Timescales", American Society of Civil Engineers, (2014), Vol , No :
"Bayesian Model Averaging for Flood Frequency Analysis", American Society of Civil Engineers, (2014), Vol , No :
"Assessing model state and forecasts variation in hydrologic data assimilation", Elsevier BV, (2014), Vol 513, No : 127-141
"A regional Bayesian hierarchical model for flood frequency analysis", Springer Science and Business Media LLC, (2014), Vol 29, No 3: 1019-1036
"Toward a reliable prediction of seasonal forecast uncertainty: Addressing model and initial condition uncertainty with ensemble data assimilation and Sequential Bayesian Combination", Elsevier BV, (2014), Vol 519, No : 2967-2977
"Ensemble prediction and data assimilation for operational hydrology", Elsevier BV, (2014), Vol 519, No : 2661-2662
"Analysis of runoff extremes using spatial hierarchical Bayesian modeling", American Geophysical Union (AGU), (2013), Vol 49, No 10: 6656-6670
"Water Supply, Demand, and Quality Indicators for Assessing the Spatial Distribution of Water Resource Vulnerability in the Columbia River Basin", Informa UK Limited, (2013), Vol 51, No 4: 339-356
"Uncertainty analysis of statistical downscaling models using Hadley Centre Coupled Model", Springer Science and Business Media LLC, (2013), Vol 114, No 3-4: 673-690
"Drought Analysis under Climate Change Using Copula", American Society of Civil Engineers (ASCE), (2013), Vol 18, No 7: 746-759
"A Bayesian Framework for Probabilistic Seasonal Drought Forecasting", American Meteorological Society, (2013), Vol 14, No 6: 1685-1705
"A hierarchical Bayesian approach for the analysis of climate change impact on runoff extremes", Wiley, (2013), Vol 28, No 26: 6292-6308
"Ensemble Streamflow Prediction: Climate signal weighting methods vs. Climate Forecast System Reanalysis", Elsevier BV, (2012), Vol 442-443, No : 105-116
"Uncertainty assessment of climate change impacts for hydrologically distinct river basins", Elsevier BV, (2012), Vol 466-467, No : 73-87
"Analyzing the uncertainty of suspended sediment load prediction using sequential data assimilation", Elsevier BV, (2012), Vol 468-469, No : 268-282
"Evolution of ensemble data assimilation for uncertainty quantification using the particle filter‐Markov chain Monte Carlo method", American Geophysical Union (AGU), (2012), Vol 48, No 12:
"Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities", Copernicus GmbH, (2012), Vol 16, No 10: 3863-3887
"Radiance data assimilation for operational snow and streamflow forecasting", Elsevier BV, (2011), Vol 34, No 3: 351-364
"Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter", Elsevier BV, (2011), Vol 399, No 3-4: 410-421
"Statistical Comparisons of Watershed-Scale Response to Climate Change in Selected Basins across the United States", American Meteorological Society, (2011), Vol 15, No 14: 1-26
"Improving the Ensemble Streamflow Prediction by Adjusting Hydrologic Ensemble Traces", American Society of Civil Engineers, (2011), Vol , No :
"Improved Ensemble Streamflow Prediction Using a New ESP Weighting Scheme", American Society of Civil Engineers, (2011), Vol , No :
"Statistical Downscaling of Precipitation Using Machine Learning with Optimal Predictor Selection", American Society of Civil Engineers (ASCE), (2011), Vol 16, No 8: 650-664
"Quantifying uncertainty in urban flooding analysis considering hydro-climatic projection and urban development effects", Copernicus GmbH, (2011), Vol 15, No 2: 617-633
"Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation", Copernicus GmbH, (2011), Vol 15, No 11: 3399-3410
"Air demand in gated tunnels – a Bayesian approach to merge various predictions", IWA Publishing, (2011), Vol 14, No 1: 152-166
"Field Investigation of Success Factors of Fish Passageways in Oregon", SAGE Publications, (2010), Vol 2170, No 1: 9-17
"Combined Effect of Global Climate Projection and Hydrologic Model Uncertainties on the Future Changes of Streamflow", American Society of Civil Engineers, (2010), Vol , No :
"Long-Lead Water Supply Forecast Using Large-Scale Climate Predictors and Independent Component Analysis", American Society of Civil Engineers (ASCE), (2010), Vol 15, No 10: 744-762
"Snow water equivalent prediction using Bayesian data assimilation methods", Springer Science and Business Media LLC, (2010), Vol 25, No 2: 253-270
"Improving robustness of hydrologic parameter estimation by the use of moving block bootstrap resampling", American Geophysical Union (AGU), (2010), Vol 46, No 7:
"Assessment of climate change impact on floodplain and hydrologic ecotones", Elsevier BV, (2010), Vol 395, No 3-4: 264-278
"Statistical Seasonal Streamflow Forecasting: An Intercomparison and Evaluation of Current Forecasting Procedures", American Society of Civil Engineers, (2009), Vol , No :
"Parameter Uncertainty Estimation of Hydrologic Models Using Bootstrap Resampling", American Society of Civil Engineers, (2009), Vol , No :
"Impacts of Different Rainfall Estimates on Hydrological Simulation and Satellite Rainfall Retrieval Error Propagation", American Society of Civil Engineers, (2009), Vol , No :
"Probabilistic Assessment of the Satellite Rainfall Retrieval Error Translation to Hydrologic Response", Springer Netherlands, (2009), Vol , No : 229-242
"Hydrologic Remote Sensing and Land Surface Data Assimilation", MDPI AG, (2008), Vol 8, No 5: 2986-3004
"Toward Improved Hydrologic Prediction with Reduced Uncertainty Using Sequential Multi-Model Combination", American Society of Civil Engineers, (2008), Vol , No :
"Lessons from Fish Passage Waterways in Oregon and Factors for Improving Their Construction", American Society of Civil Engineers, (2008), Vol , No :
"Dual state–parameter estimation of hydrological models using ensemble Kalman filter", Elsevier BV, (2005), Vol 28, No 2: 135-147
"Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter", American Geophysical Union (AGU), (2005), Vol 41, No 5:
"Improved streamflow forecasting using self-organizing radial basis function artificial neural networks", Elsevier BV, (2004), Vol 295, No 1-4: 246-262
مقالات حمید مرادخانی در کنفرانس های داخلی
بررسی تاثیرات پدیدههای النینو-نوسانات جنوبی و نوسانات دهساله اقیانوس آرام بر حجم جریان ورودی به سد زایندهرود
سال 1387
ارائه شده در سومین کنفرانس مدیریت منابع آب
پیشبینی بلند مدت جریان رودخانه زایندهرود با استفاده از تکنیک پیشبینی تجمعی جریان (ESP) و سیگنالهای بزرگ مقیاس اقلیمی
سال 1388
ارائه شده در هشتمین کنگره بین المللی مهندسی عمران