| Year |
Citation |
Score |
| 2024 |
Rabby SH, Rahimi L, Ahmadisharaf E, Ye M, Garwood JA, Bourque ES, Moradkhani H. Dynamic disparities in inorganic nitrogen and phosphorus fluxes into estuarine systems under different flow regimes and streamflow droughts. Water Research. 264: 122238. PMID 39146853 DOI: 10.1016/j.watres.2024.122238 |
0.76 |
|
| 2024 |
Radfar S, Mahmoudi S, Moftakhari H, Meckley T, Bilskie MV, Collini R, Alizad K, Cherry JA, Moradkhani H. Nature-based solutions as buffers against coastal compound flooding: Exploring potential framework for process-based modeling of hazard mitigation. The Science of the Total Environment. 938: 173529. PMID 38821267 DOI: 10.1016/j.scitotenv.2024.173529 |
0.786 |
|
| 2024 |
Mahmoudi S, Moftakhari H, Muñoz DF, Sweet W, Moradkhani H. Establishing flood thresholds for sea level rise impact communication. Nature Communications. 15: 4251. PMID 38762487 DOI: 10.1038/s41467-024-48545-1 |
0.812 |
|
| 2023 |
Yarveysi F, Alipour A, Moftakhari H, Jafarzadegan K, Moradkhani H. Block-level vulnerability assessment reveals disproportionate impacts of natural hazards across the conterminous United States. Nature Communications. 14: 4222. PMID 37452029 DOI: 10.1038/s41467-023-39853-z |
0.696 |
|
| 2022 |
Abbaszadeh P, Muñoz DF, Moftakhari H, Jafarzadegan K, Moradkhani H. Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting. Iscience. 25: 105201. PMID 36217549 DOI: 10.1016/j.isci.2022.105201 |
0.726 |
|
| 2022 |
Tanim AH, Goharian E, Moradkhani H. Integrated socio-environmental vulnerability assessment of coastal hazards using data-driven and multi-criteria analysis approaches. Scientific Reports. 12: 11625. PMID 35803988 DOI: 10.1038/s41598-022-15237-z |
0.795 |
|
| 2022 |
Gavahi K, Abbaszadeh P, Moradkhani H. How does precipitation data influence the land surface data assimilation for drought monitoring? The Science of the Total Environment. 831: 154916. PMID 35364176 DOI: 10.1016/j.scitotenv.2022.154916 |
0.756 |
|
| 2020 |
Khajehei S, Ahmadalipour A, Shao W, Moradkhani H. A Place-based Assessment of Flash Flood Hazard and Vulnerability in the Contiguous United States. Scientific Reports. 10: 448. PMID 31949202 DOI: 10.1038/S41598-019-57349-Z |
0.765 |
|
| 2020 |
Engström J, Jafarzadegan K, Moradkhani H. Drought Vulnerability in the United States: An Integrated Assessment Water. 12: 2033. DOI: 10.3390/W12072033 |
0.462 |
|
| 2020 |
Gavahi K, Abbaszadeh P, Moradkhani H, Zhan X, Hain C. Multivariate Assimilation of Remotely Sensed Soil Moisture and Evapotranspiration for Drought Monitoring Journal of Hydrometeorology. 1-39. DOI: 10.1175/Jhm-D-20-0057.1 |
0.732 |
|
| 2020 |
Alipour A, Ahmadalipour A, Moradkhani H. Assessing flash flood hazard and damages in the southeast United States Journal of Flood Risk Management. 13. DOI: 10.1111/Jfr3.12605 |
0.371 |
|
| 2020 |
Song JY, Alipour A, Moftakhari HR, Moradkhani H. Toward a more effective hurricane hazard communication Environmental Research Letters. 15: 64012. DOI: 10.1088/1748-9326/Ab875F |
0.4 |
|
| 2020 |
Alipour A, Ahmadalipour A, Abbaszadeh P, Moradkhani H. Leveraging machine learning for predicting flash flood damage in the Southeast US Environmental Research Letters. 15: 24011. DOI: 10.1088/1748-9326/Ab6Edd |
0.719 |
|
| 2020 |
Muñoz DF, Moftakhari H, Moradkhani H. Compound Effects of Flood Drivers and Wetland Elevation Correction on Coastal Flood Hazard Assessment Water Resources Research. 56. DOI: 10.1029/2020Wr027544 |
0.364 |
|
| 2020 |
Xu L, Chen N, Moradkhani H, Zhang X, Hu C. Improving Global Monthly and Daily Precipitation Estimation by Fusing Gauge Observations, Remote Sensing, and Reanalysis Data Sets Water Resources Research. 56. DOI: 10.1029/2019Wr026444 |
0.324 |
|
| 2020 |
Xu L, Abbaszadeh P, Moradkhani H, Chen N, Zhang X. Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index Remote Sensing of Environment. 250: 112028. DOI: 10.1016/J.Rse.2020.112028 |
0.792 |
|
| 2020 |
Jafarzadegan K, Moradkhani H. Regionalization of stage-discharge rating curves for hydrodynamic modeling in ungauged basins Journal of Hydrology. 589: 125165. DOI: 10.1016/J.Jhydrol.2020.125165 |
0.342 |
|
| 2020 |
Jafarzadegan K, Merwade V, Moradkhani H. Combining clustering and classification for the regionalization of environmental model parameters: Application to floodplain mapping in data-scarce regions Environmental Modelling and Software. 125: 104613. DOI: 10.1016/J.Envsoft.2019.104613 |
0.397 |
|
| 2020 |
Hameed M, Ahmadalipour A, Moradkhani H. Drought and food security in the middle east: An analytical framework Agricultural and Forest Meteorology. 281: 107816. DOI: 10.1016/J.Agrformet.2019.107816 |
0.331 |
|
| 2020 |
Abbaszadeh P, Gavahi K, Moradkhani H. Multivariate remotely sensed and in-situ data assimilation for enhancing community WRF-Hydro model forecasting Advances in Water Resources. 145: 103721. DOI: 10.1016/J.Advwatres.2020.103721 |
0.796 |
|
| 2019 |
Abbaszadeh P, Moradkhani H, Daescu DN. The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework. Water Resources Research. 55: 2407-2431. PMID 31217643 DOI: 10.1029/2018Wr023629 |
0.798 |
|
| 2019 |
Schlef KE, Moradkhani H, Lall U. Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning. Scientific Reports. 9: 7171. PMID 31073192 DOI: 10.1038/S41598-019-43496-W |
0.802 |
|
| 2019 |
Ahmadalipour A, Moradkhani H, Castelletti A, Magliocca N. Future drought risk in Africa: Integrating vulnerability, climate change, and population growth. The Science of the Total Environment. 662: 672-686. PMID 30703725 DOI: 10.1016/J.Scitotenv.2019.01.278 |
0.808 |
|
| 2019 |
Ahmadi B, Ahmadalipour A, Moradkhani H. Hydrological drought persistence and recovery over the CONUS: A multi-stage framework considering water quantity and quality. Water Research. 150: 97-110. PMID 30508718 DOI: 10.1016/J.Watres.2018.11.052 |
0.767 |
|
| 2019 |
Hameed M, Moradkhani H, Ahmadalipour A, Moftakhari H, Abbaszadeh P, Alipour A. A Review of the 21st Century Challenges in the Food-Energy-Water Security in the Middle East Water. 11: 682. DOI: 10.3390/W11040682 |
0.741 |
|
| 2019 |
Ahmadi B, Ahmadalipour A, Tootle G, Moradkhani H. Remote Sensing of Water Use Efficiency and Terrestrial Drought Recovery across the Contiguous United States Remote Sensing. 11: 731. DOI: 10.3390/Rs11060731 |
0.334 |
|
| 2019 |
Abbaszadeh P, Moradkhani H, Zhan X. Downscaling SMAP Radiometer Soil Moisture Over the CONUS Using an Ensemble Learning Method Water Resources Research. 55: 324-344. DOI: 10.1029/2018Wr023354 |
0.723 |
|
| 2019 |
Ahmadalipour A, Moradkhani H. A data-driven analysis of flash flood hazard, fatalities, and damages over the CONUS during 1996–2017 Journal of Hydrology. 578: 124106. DOI: 10.1016/J.Jhydrol.2019.124106 |
0.475 |
|
| 2019 |
Ahmadalipour A, Moradkhani H, Kumar M. Mortality risk from heat stress expected to hit poorest nations the hardest Climatic Change. 152: 569-579. DOI: 10.1007/S10584-018-2348-2 |
0.414 |
|
| 2019 |
Ahmadi B, Moradkhani H. Revisiting hydrological drought propagation and recovery considering water quantity and quality Hydrological Processes. 33: 1492-1505. DOI: 10.1002/Hyp.13417 |
0.388 |
|
| 2018 |
Ahmadalipour A, Moradkhani H. Multi-dimensional assessment of drought vulnerability in Africa: 1960-2100. The Science of the Total Environment. 644: 520-535. PMID 29990902 DOI: 10.1016/J.Scitotenv.2018.07.023 |
0.812 |
|
| 2018 |
Ahmadalipour A, Moradkhani H. Escalating heat-stress mortality risk due to global warming in the Middle East and North Africa (MENA). Environment International. 117: 215-225. PMID 29763817 DOI: 10.1016/J.Envint.2018.05.014 |
0.796 |
|
| 2018 |
Irannezhad M, Moradkhani H, Kløve B. Spatiotemporal Variability and Trends in Extreme Temperature Events in Finland over the Recent Decades: Influence of Northern Hemisphere Teleconnection Patterns Advances in Meteorology. 2018: 1-17. DOI: 10.1155/2018/7169840 |
0.33 |
|
| 2018 |
Yan H, Zarekarizi M, Moradkhani H. Toward improving drought monitoring using the remotely sensed soil moisture assimilation: A parallel particle filtering framework Remote Sensing of Environment. 216: 456-471. DOI: 10.1016/J.Rse.2018.07.017 |
0.435 |
|
| 2018 |
Kiani S, Irannezhad M, Ronkanen A, Moradkhani H, Kløve B. Effects of recent temperature variability and warming on the Oulu-Hailuoto ice road season in the northern Baltic Sea Cold Regions Science and Technology. 151: 1-8. DOI: 10.1016/J.Coldregions.2018.02.010 |
0.33 |
|
| 2018 |
Abbaszadeh P, Moradkhani H, Yan H. Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo Advances in Water Resources. 111: 192-204. DOI: 10.1016/J.Advwatres.2017.11.011 |
0.742 |
|
| 2018 |
Khajehei S, Ahmadalipour A, Moradkhani H. An effective post-processing of the North American multi-model ensemble (NMME) precipitation forecasts over the continental US Climate Dynamics. 51: 457-472. DOI: 10.1007/S00382-017-3934-0 |
0.477 |
|
| 2018 |
Zarekarizi M, Rana A, Moradkhani H. Precipitation extremes and their relation to climatic indices in the Pacific Northwest USA Climate Dynamics. 50: 4519-4537. DOI: 10.1007/S00382-017-3888-2 |
0.445 |
|
| 2018 |
Ahmadalipour A, Moradkhani H, Rana A. Accounting For Downscaling and Model Uncertainty in Fine-Resolution Seasonal Climate Projections Over the Columbia River Basin Climate Dynamics. 50: 717-733. DOI: 10.1007/S00382-017-3639-4 |
0.444 |
|
| 2018 |
Pathiraja S, Moradkhani H, Marshall L, Sharma A, Geenens G. Data‐Driven Model Uncertainty Estimation in Hydrologic Data Assimilation Water Resources Research. 54: 1252-1280. DOI: 10.1002/2018Wr022627 |
0.336 |
|
| 2017 |
Pathiraja S, Anghileri D, Burlando P, Sharma A, Marshall L, Moradkhani H. Time-varying parameter models for catchments with land use change: the importance of model structure Hydrology and Earth System Sciences. 22: 2903-2919. DOI: 10.5194/Hess-22-2903-2018 |
0.402 |
|
| 2017 |
Tongal H, Demirel MC, Moradkhani H. Analysis of dam-induced cyclic patterns on river flow dynamics Hydrological Sciences Journal-Journal Des Sciences Hydrologiques. 62: 1-16. DOI: 10.1080/02626667.2016.1252841 |
0.39 |
|
| 2017 |
Ahmadalipour A, Moradkhani H. Analyzing the Uncertainty of Ensemble-Based Gridded Observations in Land Surface Simulations and Drought Assessment Journal of Hydrology. 555: 557-568. DOI: 10.1016/J.Jhydrol.2017.10.059 |
0.504 |
|
| 2017 |
Ahmadalipour A, Moradkhani H, Demirel MC. A comparative assessment of projected meteorological and hydrological droughts: Elucidating the role of temperature Journal of Hydrology. 553: 785-797. DOI: 10.1016/J.Jhydrol.2017.08.047 |
0.459 |
|
| 2017 |
Yan H, Moradkhani H, Zarekarizi M. A probabilistic drought forecasting framework: A combined dynamical and statistical approach Journal of Hydrology. 548: 291-304. DOI: 10.1016/J.Jhydrol.2017.03.004 |
0.472 |
|
| 2017 |
Khajehei S, Moradkhani H. Towards an improved ensemble precipitation forecast: A probabilistic post-processing approach Journal of Hydrology. 546: 476-489. DOI: 10.1016/J.Jhydrol.2017.01.026 |
0.432 |
|
| 2017 |
Pathiraja S, Anghileri D, Burlando P, Sharma A, Marshall L, Moradkhani H. Insights on the impact of systematic model errors on data assimilation performance in changing catchments Advances in Water Resources. 113: 202-222. DOI: 10.1016/J.Advwatres.2017.12.006 |
0.449 |
|
| 2017 |
Irannezhad M, Chen D, Kløve B, Moradkhani H. Analysing the variability and trends of precipitation extremes in Finland and their connection to atmospheric circulation patterns International Journal of Climatology. 37: 1053-1066. DOI: 10.1002/Joc.5059 |
0.399 |
|
| 2017 |
Irannezhad M, Ahmadi B, Kløve B, Moradkhani H. Atmospheric circulation patterns explaining climatological drought dynamics in the boreal environment of Finland, 1962–2011 International Journal of Climatology. 37: 801-817. DOI: 10.1002/Joc.5039 |
0.434 |
|
| 2016 |
Najafi MR, Moradkhani H. Ensemble combination of seasonal streamflow forecasts Journal of Hydrologic Engineering. 21. DOI: 10.1061/(Asce)He.1943-5584.0001250 |
0.413 |
|
| 2016 |
Yan H, Moradkhani H. Combined assimilation of streamflow and satellite soil moisture with the particle filter and geostatistical modeling Advances in Water Resources. 94: 364-378. DOI: 10.1016/J.Advwatres.2016.06.002 |
0.36 |
|
| 2016 |
Pathiraja S, Marshall L, Sharma A, Moradkhani H. Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation Advances in Water Resources. 94: 103-119. DOI: 10.1016/J.Advwatres.2016.04.021 |
0.438 |
|
| 2016 |
Demirel MC, Moradkhani H. Assessing the impact of CMIP5 climate multi-modeling on estimating the precipitation seasonality and timing Climatic Change. 135: 357-372. DOI: 10.1007/S10584-015-1559-Z |
0.455 |
|
| 2016 |
Rana A, Moradkhani H, Qin Y. Understanding the joint behavior of temperature and precipitation for climate change impact studies Theoretical and Applied Climatology. 1-19. DOI: 10.1007/S00704-016-1774-1 |
0.432 |
|
| 2016 |
Ahmadalipour A, Moradkhani H, Svoboda M. Centennial drought outlook over the CONUS using NASA-NEX downscaled climate ensemble International Journal of Climatology. DOI: 10.1002/Joc.4859 |
0.491 |
|
| 2016 |
Pathiraja S, Marshall L, Sharma A, Moradkhani H. Hydrologic modeling in dynamic catchments: A data assimilation approach Water Resources Research. 52: 3350-3372. DOI: 10.1002/2015Wr017192 |
0.354 |
|
| 2015 |
Yan H, DeChant CM, Moradkhani H. Improving soil moisture profile prediction with the particle filter-Markov chain Monte Carlo method Ieee Transactions On Geoscience and Remote Sensing. 53: 6134-6147. DOI: 10.1109/Tgrs.2015.2432067 |
0.335 |
|
| 2015 |
Najafi MR, Moradkhani H. Multi-model ensemble analysis of runoff extremes for climate change impact assessments Journal of Hydrology. 525: 352-361. DOI: 10.1016/J.Jhydrol.2015.03.045 |
0.46 |
|
| 2015 |
Seo DJ, Liu Y, Moradkhani H, Weerts A. Ensemble prediction and data assimilation for operational hydrology Journal of Hydrology. 519: 2661-2662. DOI: 10.1016/J.Jhydrol.2014.11.035 |
0.528 |
|
| 2015 |
DeChant CM, Moradkhani H. Analyzing the sensitivity of drought recovery forecasts to land surface initial conditions Journal of Hydrology. 526: 89-100. DOI: 10.1016/J.Jhydrol.2014.10.021 |
0.418 |
|
| 2015 |
Yan H, Moradkhani H. Toward more robust extreme flood prediction by Bayesian hierarchical and multimodeling Natural Hazards. DOI: 10.1007/S11069-015-2070-6 |
0.433 |
|
| 2015 |
Ahmadalipour A, Rana A, Moradkhani H, Sharma A. Multi-criteria evaluation of CMIP5 GCMs for climate change impact analysis Theoretical and Applied Climatology. 1-17. DOI: 10.1007/S00704-015-1695-4 |
0.456 |
|
| 2015 |
Rana A, Moradkhani H. Spatial, temporal and frequency based climate change assessment in Columbia River Basin using multi downscaled-scenarios Climate Dynamics. DOI: 10.1007/S00382-015-2857-X |
0.435 |
|
| 2015 |
Dechant CM, Moradkhani H. On the assessment of reliability in probabilistic hydrometeorological event forecasting Water Resources Research. 51: 3867-3883. DOI: 10.1002/2014Wr016617 |
0.367 |
|
| 2014 |
DeChant C, Moradkhani H. Examining the Reliability of Hydrologic Drought-Risk Forecasting at Seasonal Timescales World Environmental and Water Resources Congress 2014: Water Without Borders - Proceedings of the 2014 World Environmental and Water Resources Congress. 2336-2346. DOI: 10.1061/9780784413548.233 |
0.363 |
|
| 2014 |
DeChant CM, Moradkhani H. Toward a reliable prediction of seasonal forecast uncertainty: Addressing model and initial condition uncertainty with ensemble data assimilation and Sequential Bayesian Combination Journal of Hydrology. 519: 2967-2977. DOI: 10.1016/J.Jhydrol.2014.05.045 |
0.431 |
|
| 2014 |
Samuel J, Coulibaly P, Dumedah G, Moradkhani H. Assessing model state and forecasts variation in hydrologic data assimilation Journal of Hydrology. 513: 127-141. DOI: 10.1016/J.Jhydrol.2014.03.048 |
0.359 |
|
| 2014 |
Madadgar S, Moradkhani H. Spatio-temporal drought forecasting within Bayesian networks Journal of Hydrology. 512: 134-146. DOI: 10.1016/J.Jhydrol.2014.02.039 |
0.472 |
|
| 2014 |
Yan H, Moradkhani H. A regional Bayesian hierarchical model for flood frequency analysis Stochastic Environmental Research and Risk Assessment. 29: 1019-1036. DOI: 10.1007/S00477-014-0975-3 |
0.418 |
|
| 2014 |
Madadgar S, Moradkhani H, Garen D. Towards improved post-processing of hydrologic forecast ensembles Hydrological Processes. 28: 104-122. DOI: 10.1002/Hyp.9562 |
0.415 |
|
| 2014 |
Najafi MR, Moradkhani H. A hierarchical Bayesian approach for the analysis of climate change impact on runoff extremes Hydrological Processes. 28: 6292-6308. DOI: 10.1002/Hyp.10113 |
0.485 |
|
| 2014 |
Madadgar S, Moradkhani H. Improved Bayesian multimodeling: Integration of copulas and Bayesian model averaging Water Resources Research. 50: 9586-9603. DOI: 10.1002/2014Wr015965 |
0.405 |
|
| 2013 |
Montzka C, Grant JP, Moradkhani H, Franssen HJH, Weihermüller L, Drusch M, Vereecken H. Estimation of radiative transfer parameters from L-band passive microwave brightness temperatures using advanced data assimilation Vadose Zone Journal. 12. DOI: 10.2136/Vzj2012.0040 |
0.363 |
|
| 2013 |
Madadgar S, Moradkhani H. A Bayesian framework for probabilistic seasonal drought forecasting Journal of Hydrometeorology. 14: 1685-1705. DOI: 10.1175/Jhm-D-13-010.1 |
0.462 |
|
| 2013 |
Chang H, Jung IW, Strecker A, Wise D, Lafrenz M, Shandas V, Moradkhani H, Yeakley A, Pan Y, Bean R, Johnson G, Psaris M. Water supply, demand, and quality indicators for assessing the spatial distribution of water resource vulnerability in the Columbia river basin Atmosphere - Ocean. 51: 339-356. DOI: 10.1080/07055900.2013.777896 |
0.34 |
|
| 2013 |
Madadgar S, Moradkhani H. Drought analysis under climate change using copula Journal of Hydrologic Engineering. 18: 746-759. DOI: 10.1061/(Asce)He.1943-5584.0000532 |
0.446 |
|
| 2013 |
Samadi S, Wilson CAME, Moradkhani H. Uncertainty analysis of statistical downscaling models using Hadley Centre Coupled Model Theoretical and Applied Climatology. 114: 673-690. DOI: 10.1007/S00704-013-0844-X |
0.471 |
|
| 2013 |
Reza Najafi M, Moradkhani H. Analysis of runoff extremes using spatial hierarchical Bayesian modeling Water Resources Research. 49: 6656-6670. DOI: 10.1002/Wrcr.20381 |
0.418 |
|
| 2013 |
Jaeger WK, Plantinga AJ, Chang H, Dello K, Grant G, Hulse D, McDonnell JJ, Lancaster S, Moradkhani H, Morzillo AT, Mote P, Nolin A, Santelmann M, Wu J. Toward a formal definition of water scarcity in natural-human systems Water Resources Research. 49: 4506-4517. DOI: 10.1002/Wrcr.20249 |
0.309 |
|
| 2013 |
Halmstad A, Najafi MR, Moradkhani H. Analysis of precipitation extremes with the assessment of regional climate models over the Willamette River Basin, USA Hydrological Processes. 27: 2579-2590. DOI: 10.1002/Hyp.9376 |
0.489 |
|
| 2012 |
Liu Y, Weerts AH, Clark M, Hendricks Franssen HJ, Kumar S, Moradkhani H, Seo DJ, Schwanenberg D, Smith P, Van Dijk AIJM, Van Velzen N, He M, Lee H, Noh SJ, Rakovec O, et al. Advancing data assimilation in operational hydrologic forecasting: Progresses, challenges, and emerging opportunities Hydrology and Earth System Sciences. 16: 3863-3887. DOI: 10.5194/Hess-16-3863-2012 |
0.571 |
|
| 2012 |
Najafi MR, Kavianpour Z, Najafi B, Kavianpour MR, Moradkhani H. Air demand in gated tunnels - A Bayesian approach to merge various predictions Journal of Hydroinformatics. 14: 152-166. DOI: 10.2166/Hydro.2011.108 |
0.324 |
|
| 2012 |
Moradkhani H, Dechant CM, Sorooshian S. Evolution of ensemble data assimilation for uncertainty quantification using the particle filter-Markov chain Monte Carlo method Water Resources Research. 48. DOI: 10.1029/2012Wr012144 |
0.551 |
|
| 2012 |
Parrish MA, Moradkhani H, Dechant CM. Toward reduction of model uncertainty: Integration of Bayesian model averaging and data assimilation Water Resources Research. 48. DOI: 10.1029/2011Wr011116 |
0.367 |
|
| 2012 |
Dechant CM, Moradkhani H. Examining the effectiveness and robustness of sequential data assimilation methods for quantification of uncertainty in hydrologic forecasting Water Resources Research. 48. DOI: 10.1029/2011Wr011011 |
0.371 |
|
| 2012 |
Leisenring M, Moradkhani H. Analyzing the uncertainty of suspended sediment load prediction using sequential data assimilation Journal of Hydrology. 468: 268-282. DOI: 10.1016/J.Jhydrol.2012.08.049 |
0.365 |
|
| 2012 |
Jung IW, Moradkhani H, Chang H. Uncertainty assessment of climate change impacts for hydrologically distinct river basins Journal of Hydrology. 466: 73-87. DOI: 10.1016/J.Jhydrol.2012.08.002 |
0.445 |
|
| 2012 |
Najafi MR, Moradkhani H, Piechota TC. Ensemble Streamflow Prediction: Climate signal weighting methods vs. Climate Forecast System Reanalysis Journal of Hydrology. 442: 105-116. DOI: 10.1016/J.Jhydrol.2012.04.003 |
0.407 |
|
| 2011 |
Jung IW, Chang H, Moradkhani H. Quantifying uncertainty in urban flooding analysis considering hydro-climatic projection and urban development effects Hydrology and Earth System Sciences. 15: 617-633. DOI: 10.5194/Hess-15-617-2011 |
0.42 |
|
| 2011 |
Dechant CM, Moradkhani H. Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation Hydrology and Earth System Sciences. 15: 3399-3410. DOI: 10.5194/Hess-15-3399-2011 |
0.426 |
|
| 2011 |
Risley J, Moradkhani H, Hay L, Markstrom S. Statistical comparisons of watershed-scale response to climate change in selected basins across the United States Earth Interactions. 15: 1-26. DOI: 10.1175/2010Ei364.1 |
0.472 |
|
| 2011 |
Madadgar S, Moradkhani H. Improving the ensemble streamflow prediction by adjusting hydrologic ensemble traces World Environmental and Water Resources Congress 2011: Bearing Knowledge For Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress. 3743-3751. DOI: 10.1061/41173(414)392 |
0.322 |
|
| 2011 |
Najafi MR, Moradkhani H, Wherry SA. Statistical downscaling of precipitation using machine learning with optimal predictor selection Journal of Hydrologic Engineering. 16: 650-664. DOI: 10.1061/(Asce)He.1943-5584.0000355 |
0.446 |
|
| 2011 |
Montzka C, Moradkhani H, Weihermüller L, Franssen HJH, Canty M, Vereecken H. Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter Journal of Hydrology. 399: 410-421. DOI: 10.1016/J.Jhydrol.2011.01.020 |
0.336 |
|
| 2011 |
Dechant C, Moradkhani H. Radiance data assimilation for operational snow and streamflow forecasting Advances in Water Resources. 34: 351-364. DOI: 10.1016/J.Advwatres.2010.12.009 |
0.413 |
|
| 2011 |
Leisenring M, Moradkhani H. Snow water equivalent prediction using Bayesian data assimilation methods Stochastic Environmental Research and Risk Assessment. 25: 253-270. DOI: 10.1007/S00477-010-0445-5 |
0.314 |
|
| 2011 |
Najafi MR, Moradkhani H, Jung IW. Assessing the uncertainties of hydrologic model selection in climate change impact studies Hydrological Processes. 25: 2814-2826. DOI: 10.1002/Hyp.8043 |
0.417 |
|
| 2010 |
Jung I, Moradkhani H, Chang H. Quantifying hydrological uncertainty for rain- and snow-dominated watersheds with adaptation strategy World Environmental and Water Resources Congress 2010: Challenges of Change - Proceedings of the World Environmental and Water Resources Congress 2010. 4588-4597. DOI: 10.1061/41114(371)466 |
0.321 |
|
| 2010 |
Najafi MR, Moradkhani H, Jung IW. Combined effect of global climate projection and hydrologic model uncertainties on the future changes of streamflow World Environmental and Water Resources Congress 2010: Challenges of Change - Proceedings of the World Environmental and Water Resources Congress 2010. 81-91. DOI: 10.1061/41114(371)10 |
0.332 |
|
| 2010 |
Moradkhani H, Meier M. Long-lead water supply forecast using large-scale climate predictors and independent component analysis Journal of Hydrologic Engineering. 15: 744-762. DOI: 10.1061/(Asce)He.1943-5584.0000246 |
0.462 |
|
| 2010 |
Ebtehaj M, Moradkhani H, Gupta HV. Improving robustness of hydrologic parameter estimation by the use of moving block bootstrap resampling Water Resources Research. 46. DOI: 10.1029/2009Wr007981 |
0.326 |
|
| 2010 |
Moradkhani H, Baird RG, Wherry SA. Assessment of climate change impact on floodplain and hydrologic ecotones Journal of Hydrology. 395: 264-278. DOI: 10.1016/J.Jhydrol.2010.10.038 |
0.474 |
|
| 2009 |
Meskele T, Moradkhani H. Impacts of different rainfall estimates on hydrological simulation and satellite rainfall retrieval error propagation Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers. 342: 6114-6125. DOI: 10.1061/41036(342)619 |
0.309 |
|
| 2009 |
Hsu KL, Moradkhani H, Sorooshian S. A sequential Bayesian approach for hydrologic model selection and prediction Water Resources Research. 45. DOI: 10.1029/2008Wr006824 |
0.67 |
|
| 2008 |
Moradkhani H. Hydrologic Remote Sensing and Land Surface Data Assimilation. Sensors (Basel, Switzerland). 8: 2986-3004. PMID 27879861 DOI: 10.3390/S8052986 |
0.815 |
|
| 2008 |
Moradkhani H. Hydrologic remote sensing and land surface data assimilation Sensors. 8: 2986-3004. DOI: 10.3390/s8052986 |
0.365 |
|
| 2008 |
Moradkhani H, Hsu K, Sorooshian S. Toward improved hydrologic prediction with reduced uncertainty using sequential multi-model combination World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008. 316. DOI: 10.1061/40976(316)576 |
0.499 |
|
| 2006 |
Moradkhani H, Hsu K, Hong Y, Sorooshian S. Investigating the impact of remotely sensed precipitation and hydrologic model uncertainties on the ensemble streamflow forecasting Geophysical Research Letters. 33. DOI: 10.1029/2006Gl026855 |
0.737 |
|
| 2006 |
Hong Y, Hsu KL, Moradkhani H, Sorooshian S. Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response Water Resources Research. 42. DOI: 10.1029/2005Wr004398 |
0.729 |
|
| 2005 |
Moradkhani H, Hsu KL, Gupta H, Sorooshian S. Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter Water Resources Research. 41: 1-17. DOI: 10.1029/2004Wr003604 |
0.676 |
|
| 2005 |
Moradkhani H, Sorooshian S, Gupta HV, Houser PR. Dual state-parameter estimation of hydrological models using ensemble Kalman filter Advances in Water Resources. 28: 135-147. DOI: 10.1016/J.Advwatres.2004.09.002 |
0.564 |
|
| 2004 |
Moradkhani H, Hsu KL, Gupta HV, Sorooshian S. Improved streamflow forecasting using self-organizing radial basis function artificial neural networks Journal of Hydrology. 295: 246-262. DOI: 10.1016/J.Jhydrol.2004.03.027 |
0.514 |
|
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