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• Exceptional Achievement in Research - University of Oklahoma (01/01/2017-12/31/2017)
• Young Investigator Award - U.S Army Research Office (01/01/2017-12/31/2017)
• Dissertation Fellowship - Arizona State University (01/01/2011-12/31/2011)
• Nominee Tau Beta Pi - U.S. Engineering Honors Society (01/01/2011-12/31/2011)
• NCAR Graduate Fellow - NCAR (01/01/2009-12/31/2009)
• Academic Excellence Graduate Fellowship - Empresas Publicas de Medellin (01/01/2003-12/31/2003)
• Graduate Honors Fellowship - National University of Colombia (01/01/2003-12/31/2003)
• Best High School Senior Student - Liceo Efe Gomez Fredonia (01/01/1994-12/31/1994)
• Municipal Andres Bello Recognition - ICFES Colombia (01/01/1994-12/31/1994)

• Ph D in Civil, Environmental and Sustainable Engineering, Arizona State University (2012)
• M.Eng. in Water Resources Engineering, National University of Colombia (2005)
• BS in Civil Engineering, National University of Colombia (2002)

• Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma. Part II: New Multi-Sensor Soil Moisture (MSSM) Product Remote Sensing 15 (2023), Zhen Hong, Hernan A. Moreno Ramirez, Laura V. Alvarez Rueda, Li Zhen, Yang Hong.
• Triple Collocation of Ground- , Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma Part II: New Multi-Sensor Soil Moisture (MSSM) Product. Remote Sensing 15 (13) (2023), Zhen Hong, Hernan A. Moreno Ramirez, Zhi Li, Laura V. Alvarez Rueda, Yang Hong.
• Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma—Part I: Individual Product Assessment Remote Sensing 14 22 (2022), Zhen Hong, Hernan A. Moreno Ramirez, Zhi Li, Shuo Li, John S. Greene, Yang Hong, Laura V. Alvarez Rueda.
• From Standard Weather Stations to Virtual Micro-Meteorological Towers in Ungauged Sites: Modeling Tool for Surface Energy Fluxes, Evapotranspiration, Soil Temperature, and Soil Moisture Estimations. Remote Sensing 13(7):1271 (2021), Hernan A. Moreno Ramirez, J.A. Celis, J.B. Basara, R.A McPherson, M. Cosh, T. Ochsner, X Xiao.
• Spatial planning for water sustainability projects under climate uncertainty: balancing human and environmental water needs. Environmental Research Letters 16, 034050 (2021), R. Fovargue, S. Rezapour, D. Rosendahl, A. Wootten, H. Zamanisabzi, Hernan A. Moreno Ramirez.
• Utility of satellite-derived burn severity to study short- and long-term effects of wildfire on streamflow at the basin scale Journal of Hydrology 580 (2020), Hernan A. Moreno Ramirez, Jonathan J. Gourley, Tri G. Pham, Daniela M. Spade.
• Comparison of projected water availability and demand reveals future hotspots of water stress in the Red River basin, USA Journal of Hydrology: Regional Studies 26, 100638 (2019), H. Zamanisabzi , Hernan A. Moreno Ramirez, R. Fovargue, X. Xue, Y. Hong, T.M. Neeson.
• Effects of spatial and temporal data aggregation on the performance of the Multi-Radar Multi-Sensor system Journal of the American Water Resources Association 54 (4) (2019), H.K. Bayabil, A. Fares, H.O. Sharif, D.T. Ghebreyesus, Hernan A. Moreno Ramirez.
• Strategic Allocation of Water Conservation Incentives in a Drought-Prone River Basin Ecological Engineering 127, (2019), H. ​​​​Zamanisabzi, S. Rezapour, Fovargue, Hernan A. Moreno Ramirez, T. Neeson.

• Fundamentals of Machine Learning and Its Applications to Earth Sci- ence. (2023), Volume New York, Hernan A. Moreno Ramirez.
• Alternative Ways to Validating Satellite-Based Pre- cipitation Measurements from Environmental Variables (2023), Volume Lawrence Berkeley National Lab, Andres Monsalve, Hernan A. Moreno Ramirez.
• Evaluating and Improving a Physics-Guided Neural Network for Lake Temperature Modeling: A Case Study of Lake Texoma. (2023), Volume LBNL, Isabela Suaza, Hernan A. Moreno Ramirez.
• Learning and Ranking the Drivers of Subpixel Surface Soil Moisture in the Chihuahuan Desert. (2023), Stephanie N. Marquez, A. .
• Learning the Drivers of the Partitioning of ET in Arid Environments. (2023), Volume Lawrence Berkeley National Laboratory, Hernan A. Moreno Ramirez.
• Using Ensemble Supervised Classification Methods to Learn and Improve the Soil Texture Particle Size Database from SSURGO in a Dryland Ecosystem (2023), Volume LBNL, Jorge Mayo, Hernan A. Moreno Ramirez.
• Earth Science Machine Learning Examples (2023), Volume GEOL123, Hernan A. Moreno Ramirez.
• Cloud-height par- allax correction of GPROF rainfall product improves general accuracy of retrievals over CONUS. (2022), Volume Chicago, Monsalve Andres, Erick Goldenstern, Christian Kummerow, Hernan A. Moreno Ramirez.
• Eliciting the drivers of ecosystem evapotranspiration (ET) partitioning and its links to carbon sequestration in a semiarid ecosystem of the US Southwest. (2022), Volume Chicago, Habibur Howlider, Hernan A. Moreno Ramirez.
• Hyper-resolution Distributed Hydrological Simulations of Soil Moisture and the Partitioning of Evapotranspiration in the Jornada Experimental Range, Southwestern US. (2022), Volume Chicago, Jorge Mayo, Hernan A. Moreno Ramirez.
• Microwave emission model parameter tun- ning for surface soil moisture retrievals using UAV mounted dual polarization L-band radiometer. (2022), Volume Chicago, Santiago Hoyos, Hernan A. Moreno Ramirez, Stephanie Marquez.
• Multi-scale intercomparison of surface soil moisture in the Chihuahuan Desert using orbital, sub-orbital and ground-based measurements. (2022), Volume Chicago, Stephanie Marquez, Hernan A. Moreno Ramirez, Santiago Hoyos, X. Zhan, J. Yin.
• A regime- dependent validation framework for satellite precipitation (2022), Volume Fort Collins, Andres Monsalve, Erick Goldenstern, Christian Kummerow, Hernan A. Moreno Ramirez.
• Development of small unmanned aerial systems for subpixel vegetation acticity monitoring (2022), Volume Fort Collins, Ryan Cruz, Laura Alvarez, Hernan A. Moreno Ramirez.
• Intercomparison of orbital, sub- orbital, and ground-based measurements of surface soil moisture during the summer Monsoon of 2022 in the Chihuahuan desert. (2022), Volume Fort Collins, Stephanie Marquez, Hernan A. Moreno Ramirez, Santiago Hoyos, Ryan Cruz.
• Merging Multi-platform Sensors, Models and Artificial Intelligence for Advanced Hydrometerological Understanding and Prediction (2022), Volume Fort Collins, CO, Hernan A. Moreno Ramirez.
• Development Of Small Unmanned Aerial Systems For Subpixel Vegetation Activity Monitoring. (2022), Volume Forth Collins, CO, Ryan Cruz, Laura V. Alvarez Rueda, Hernan A. Moreno.
• Development Of Small Unmanned Aerial Systm For Subpixel Vegetation Activity Monitoring (2022), Volume Tallahassee, FL, Ryan Cruz, Laura V. Alvarez Rueda, Hernan A. Moreno.
• Development of a Portable Lysimeter to Val- idate Evapotranspiration Using Remote Sensing Technologies (2022), Volume Tallahassee, FL, Max Rottblath, Hernan A. Moreno Ramirez.
• Development of small unmanned aerial systm for subpixel vegetation activity monitoring (2022), Volume Tallahassee, FL, Ryan Cruz, Laura V. Alvarez Rueda, Hernan A. Moreno Ramirez.
• Merging multi-platform sensors , models and artificial intelligence for advanced hydrologic. (2021), Volume New York, Hernan A. Moreno Ramirez.
• Cross-evaluation of Ground-based, Satellite and Land Surface Model Soil Moisture Products Through the Triple Collocation Method Across Oklahoma. (2021), Volume Virtual, Zhen Hong, Hernan A. Moreno Zhen, Yang Hong.
• Foot-print Scale Real-time Modeling Tool of Surface Energy Fluxes, Evapotranspiration, Soil Moisture,and Soil Temperature: Application in the the Southern Great Plains. (2020), Volume Virtual, Jorge Celis, Hernan A. Moreno, Jeff Basara, Michael Cosh, Tyson Ochsner, Xianming Xiao.
• Innovations in Hydrology and Water Sustainability through Dis- tributed Hydrologic Modeling, Machine Learning and Multi-Sensor Observations. (2020), Volume Department of Geological Sciences, University of Texas, El Paso, Hernan A. Moreno Ramirez.
• Effects of vegetation gradual and abrupt change on soil moisture and surface energy fluxes. (2019), Volume San Francisco, CA, Hernan A. Moreno Ramirez.
• The utility of remote sensing imagery to study transient shifts in streamflow from the event to the interannual scale. (2019), Volume San Francisco, CA, Hernan A. Moreno Ramirez.
• Utility of Satellite-based Burn Indices to Investigate Acute and Chronic Effects of Wildfire on Streamflow at the Scale of the Basin. (2019), Volume NOAA National Weather Center, Norman, Oklahoma., Hernan A. Moreno Ramirez.
• Improvements in Water Resources Engineering through the Use of Process-Based, Distributed Hydrologic Modeling and Multi-Sensor Observations. (2019), Volume University of Nebraska, Lincoln, Hernan A. Moreno Ramirez.
• Innovations in Hydrologic Science through the Use of Process-Based, Distributed Hydrologic Modeling, Multi-Sensor Observations and Intelligent Systems. (2019), Volume School of Geosciences, University of Oklahoma, Norman, Hernan A. Moreno Ramirez.

• Model-Based Reinforced Learning for Accurate and Efficient Process Representation of Advection-Diffusion And Turbulent Processes Using Adaptive Domain
• NOAA EPP/MSI Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies
• Enhancing a Spatial Planning Tool to Support Reservoir Fisheries, Instream Flows, and Societal Water Needs in the Red River
• GPROF and Regime Dependent Uncertainties
• An Artificial Intelligence Approach to Disentangling the Roles of Atmospheric and Land Surface Drivers On Quantitative Precipitation Estimation Uncertainties
• NOAA-CESSRST Undergraduate Fellowship
• Balancing water usage and ecosystem outcomes under drought and climate change: enhancing an optimization model for the Red River
• Collaborative Research in satellite and LSM validation using Distributed Hydrologic Models and Unmanned Aerial Systems
• Human-scale surface energy budget and ground thermal responses to soil moisture and vegetation change in flat and complex terrain
• A Return on Investment Approach to Restoring Natural Flow Regimes in the Red River