The Grainger College of Engineering
Civil & Environmental Engineering

Ana P. Barros

Ana P. Barros
Ana P. Barros
  • Donald Biggar Willett Chair of Engineering
  • Department Head
  • Department Head
  • Professor
1114 Newmark Civil Engineering Building

Primary Research Area

  • Water Resources Engineering and Science

Research Areas

Education

  • M.S. Hydraulics - Ocean Engineering,  University of Porto, Portugal, 1988
  • M.S. Environmental Science and Engineering,  Oregon Graduate Institure of Science and Technology, 1990
  • Ph.D. Civil and Environmental Engineering, University of Washington, 1993

Academic Positions

  • Founding Director, Center for Secure Water, UIUC, 2024-Present
  • Donald Biggar Willett Chair in Engineering, UIUC, 2021-Present
  • Department Head, Civil and Environmental Engineering, Grainger College of Engineering, UIUC, 2021-2026
  • Edmund T. Pratt, Jr. School Distinguished Professor Emeritus. of Civil and Env. Eng., Duke University, 2021-
  • Edmund T. Pratt, Jr. School Distinguished Prof. of Civil and Env. Eng., Duke University, 2018-2021
  • James L. Meriam Professor of Civil and Env. Engineering, Duke University, 2015-2018
  • Professor, Earth & Ocean Sciences, Nicholas School of the Environ., Duke University, 2013-2021
  • Founding Director, Karsh International Scholars Program, Duke University, 2011-2016
  • Professor, Civil & Env. Eng., Pratt School of Engineering, Duke University, 2004-2015
  • Associate Professor, Div. Eng. & Appl. Sciences, Harvard University, 1999-2004
  • Associate Professor, Civil and Env. Eng., Penn State University, 1998-1999
  • Assistant Professor, Civil and Env. Eng., Penn State University, 1993-1998

Journal Editorships

  • Associate Editor, IEEE J-STARS, 2016-2019
  • AGU Advances, Editor, 2019-2026
  • PNAS NEXUS, Board of Reviewing Editors, Physical Sci.& Engineering, 2024-2027

Research Interests

  • Development and application of information technology and AI s a research tool and in the operation of complex engineering systems.
  • Computational environmental fluid mechanics and nonlinear dynamics;
  • Remote sensing of the environment using microwave and infrared sensors; long-range predictability and risk analysis of natural hazards;
  • Physics of water cycle processes in mountainous regions with a focus on cloud formation and precipitation;

Primary Research Area

  • Water Resources Engineering and Science

Research Areas

Chapters in Books

  • Barros, A.P., Shrestha, P., Chavez, S., Duan, Y., 2018: Modeling aerosol-cloud-precipitation interactions in mountainous regions - Challenges in the representation of indirect microphysical effects with impacts at sub-regional scales. In Rainfall - Extremes, Distribution and Properties, IntechBookOpen (Pub.), Abbott, J. (Ed.), Chapter 5, 22pp, ISBN: 978-1-78984-735-2.Doi: 0.5772/intechopen.80025.
  • Barros, A.P. , and Arulraj, M., 2020: Remote Sensing of Orographic Precipitation. In Satellite Precipitation Measurement, Vol.2, Chapter 4.6, Elsevier (Pub.), in press.

Selected Articles in Journals

  •    Privette, A.P., Barros, A.P., Cai, X., 2026: Data Centers Water footprint: The Need for More Transparency.         AGU Advances, in press
  • Singh, S., and Barros, A..P., 2026: Improving Surface Property Retrievals in Boreal Seasonal Snowpacks through Multiscale Modeling of Subgrid Reflectance, IEEE JSTARS, in press.
  • Liao, M., and Barros, A.P., 2026: Estimating Probable Maximum Precipitation for the Continental United States.  J. Hydrology-Regional Studies, 64,103122.
  • Corak, N.K., Barros, A.P., Lowman, L.E.L., 2026: Budyko scatter reveals interactions between wildfire, land cover change, and climate.  J. Hydrology, 13596.
  • Liao, M., and Barros, A.P., 2025: Model Celerity-Discharge Behavior in Complex Terrain to Improve Orographic Quantitative Precipitation Estimation and Hydrologic Prediction in Headwater Basins. Water Resources Research, 61, e2024WR038446.
  • Liao, M., and Barros, A.P., 2025: Toward Optimal Rainfall for Flood Prediction in Headwater Basins – Improving Soil Moisture Initialization to Close the Water Budget within Observational Uncertainty. J. Hydrology Regional Studies, 61, 102700.
  • Shrestha, P. , and Barros, A. P. , 2025: Multi-physics Data Assimilation Framework for Remotely Sensed Snowpacks to Improve Water Prediction, Wat. Res. Res., 61(2), e2024WR037885.
  • Shrestha, P. and Barros, A. P., 2025: Assimilation of L-band InSAR snow depth retrievals for improved snowpack quantification, The Cryosphere,19 (8),2895-2911. 
  • Liu, Q., and Barros, A.P., 2024: The role of root dynamics on the climate sensitivity of ecohydrological processes of over- and understory in a semi-arid groundwater-dependent ecosystem. Frontiers in Environmental Science ( Drylands), 12:1477059.
  • Ji, L., and Barros, A.P., 2024: Toward Building a Virtual Laboratory to Investigate Rainfall Microphysics at Process Scales. J. Atmos. Sciences, 81(6),999-1017.
  • Barros, A.P., 2024: Digital Twin Earth: the next-generation Earth Information System. Frontiers in Science Editorial. 2, 1383659.
  • Singh, S., Durand., M., Kim, E., and Barros, A.P., 2024: Bayesian Physical-Statistical Retrieval of SWE and Snow Depth From X- and Ku-0Band SAR – Demonstration Using Airborne SNOWSAR in SnowEX’17. The Cryosphere, 18, 747-773.
  • Chavez, S. P., and Barros, A.P., 2023: Aerosol Indirect Effects on Orographic Clouds and Precipitation. Frontiers in Earth Science, Section - Atmospheric Science, 11:1025266. 
  • Liao, M., and Barros, A.P., 2023: Toward Optimal Rainfall for Flood Prediction in Headwater Basins – Orographic QPE Error Modeling Using Machine Learning. Water Res. Res., 59, e2023WR034456. 
  • Cao, Y. and Barros, A.P., 2023: Topographic Controls on Active Microwave Behavior of Mountain Snowpacks. Remote Sensing of the Environ., 284, 113373. 
  • Tsang, L., Durand, M., Derksen, C., Barros, A.P., Kang, D.H., and many others, 2022: Global Monitoring of Snow Water Equivalent using High Frequency Radar Remote Sensing. The Cryosphere, https://doi.org/10.5194/tc-16-3531-2022.
  • Liao, M., and Barros A.P., 2022: Toward Optimal Rainfall- Hydrologic QPE correction in Headwater Basins. Remote Sensing of the Environ., 279, 113107, https://doi.org/10.1016/j.rse.2022.113107.
  • Eghdami, M., Barros, A.P., Pedro A. Jimenez, Timothy W. Juliano, Branko Kosovic, and Sue E. Haupt, 2022: Simulation of second-order turbulent properties of the surface layer for three-dimensional flow based on the Mellor and Yamada Model. Monthly Weather Review, https://DoI.org/10.1175/MWR-D-21-0101.1.
  • Durand, M., Barros, A.P., Dozier, J., Adler, R., Cooley, S., Entekhabi, D., Forman, B.A., Konings, A.G., Kustas, W.P., Lundquist, J. D., Pavelsky, T.M., Rodell, M., Steele-Dunne, S., 2021: Achieving Breakthroughs in Global Hydrologic Science by Unlocking the Power of Multisensor, Multidisciplinary Earth Observations. AGU Advances, 2, e2021AV000455, https://DoI.org/10.1029/2021AV000455.
  • Wei, T., and Barros, A.P., 2021: Prospects for Long-Term Agriculture in Southern Africa: Emergent Dynamics of Savannah Ecosystems from Remote Sensing Observations. Remote Sensing, 13, 2954. https://DoI.org/10.3390/rs13152954.
  • Zeitler, P., Barros, A. P., Becker, T. W., Davidson, E. A., Ehlmann, B. L.,Gruber, N., et al., 2021: Confronting racism to advance our science. AGU Advances, 2, e2020AV000296. https://DoI.org/10.1029/2020AV000296.
  • Rhae Sung Kim, Sujay Kumar, Carrie Vuyovich, Paul Houser, Jessica Lundquist, Lawrence Mudryk, Michael Durand, Ana Barros, Edward J. Kim, Barton A. Forman, Ethan D. Gutmann, Melissa L. Wrzesien, Camille Garnaud, Melody Sandells, Hans-Peter Marshall, Nicoleta Cristea, Justin M. Pflug, Jeremy Johnston, Yueqian Cao, David Mocko, Shugong Wang, and many others, 2021: Snow Ensemble Uncertainty Project (SEUP): Quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling. Cryoshere, 15(2), 771-791.
  • Arulraj, M. and Barros, A.P., 2021: Automatic Detection and Classification of Orographic Precipitation using Machine Learning. Remote Sensing of the Environment, 257, 112355. DoI: 10.1016/j.rse.2021.112355.
  • Foufoula-Georgiou, E., Guilloteau, C., Nguyen, P., Aghakouchak, A., Hsu, Kuo-Lin, Busalacchi. A., Turk. F.J., Peters-Lidard, C., Oki, T., Duan, Q., Krajewski, W., UIjlenhopet, R., Barros, A. Kirstetter, P., Logan, W., Hogue, T., Gupta, H., and Levizzani, V., 2020: Advancing Precipitation Estimation and Impact Studies. 12th International Precipitation Conference, Bull. Amer. Meteor. Soc., https://DoI.org/10.1175/BAMS-D-20-0014.1, E1584-1592.
  • Chavez, S.J.; Silva,Y.; Barros, A.P., 2020: High-Elevation Monsoon Precipitation Processes in the Central Andes of Peru. J. Geophys. Res. - Atmospheres, 10.1029/2020JD032947.
  • Eghdami, M. and Barros, A.P., 2020: Deforestation Impacts on Orographic Precipitation in the tropical Andes. Frontiers Environmental Sciences - Atmospheric Science, doi: 10.3389/fenvs.2020.580159
  • Cao, Y. and Barros, A.P., 2020: Weather-Dependent Nonlinear Microwave behavior of Seasonal High-Elevation Snowpacks. Remote Sensing, 12,3422; 0.3390/rs12203422
  • Ruti, P., Tarasova, O., Keller, J., Carmichael, G., Hov, O., Jones, S., Terblanche, D., Anderson- Lefale, C., Barros, A.P., and many others, 2020: Advancing Research for Seamless Earth System Prediction. Bull. Amer. Meteor. Soc., 10.1175/BAMS-D-17-0302.2
  • Manickam, S., and Barros, A.P., 2020: Parsing Synthetic Aperture Radar Measurements of Snow in Complex Terrain: Scaling Behavior and Sensitivity to Snow Wetness and Landcover. Remote Sensing, 12(3), 483; 10.3390/rs12030483.
  • Protat, A.; Klepp,C.; Louf,V.; Petersen, W.; Alexander, S.P.; Barros, A.P.; Leinonen, J., and Mace, G.G., 2019a: The Latitudinal variability of Oceanic rainfall Properties and its Implication for Satellite Retrievals. Part 1: Drop Size Distribution Properties. J. Geophys. Res. Atm.,10.1029/2019/JD031010.
  • Protat, A.; Klepp,C.; Louf,V.; Petersen, W.; Alexander, S.P.; Barros, A.P.; Leinonen, J., and Mace, G.G., 2019b: The Latitudinal variability of Oceanic rainfall Properties and its Implication for Satellite Retrievals. Part 2: The Relationships between Radar Observables and Drop Size Distribution Parameters. J. Geophys. Res. Atm.,10.1029/2019/JD031011.
  • Eghdami, M, and Barros, A.P., 2019: Vertical Scaling Behavior of Orographic Wind and Moisture Fields in Atmospheric Models. Earth&Space Sci., 10.1029/2018EA000513.
  • Eghdami, M., and Barros, A.P., 2019: Extreme orographic rainfall tied to Cold Air Intrusions in the eastern Andes. Frontiers in Earth Sciences -Atmospheric Science 7:101, 10.3389/fenvs.2019.00101.
  • Arulraj, M., and Barros, A.P., 2019: Improving Quantitative Precipitation Estimates in Mountainous Regions by Modeling Low Level Seeder-Feeder Interactions constrained by GPM DPR Measurements. Rem. Sen.of the Environ., 231, 111213, 10.1016/j.rse.2019.111213.
  • Aide, M.T., Garu R.H., Graesser, J., Andrade-Nunez, M.J., Araoz E., Barros, A.P., and many others, 2019: Woody vegetation dynamics in the Andes from 2001 to 2014: the impacts of land use change and climate. Global Change Biology, 1-15, DoI:10.1111/gcb.14618.
  • Tao, J., and Barros, A.P., 2019: Multi-Year Surface Radiative Properties and Vegetation Parameters for Hydrologic Modeling in Regions of Complex Terrain - Methodology and Evaluation over the IPHEx2014 Domain. J. Hydrology-Reg. Studies, 22, DoI:10.1016/j.ejrh.2019.100596.
  • Miller,D., Miniat,C.F., Wooten, R., and Barros, A.P., 2019: An Expanded Investigation of Atmospheric Rivers in the Southern Appalachian Mountains and their Connection to Landslides. Atmosphere, 10, 71; DoI:10.3390/atmos10020071.
  • Duan, Y., Petters, M. D., and Barros, A. P., 2019. Understanding aerosol-cloud interactions through modelling the development of orographic cumulus congestus during IPHEx, Atmos. Chem. Phys., 19, 1-25, DoI:10.5194/acp-19-1-2019.
  • Lowman, L., Wei, T., Barros, A.P., 2018: Rainfall Variability, Wetland Persistence, and Water-Carbon Cycle Coupling in the Upper Zambezi River Basin in Southern Africa., Remote Sensing, 10(5), 692; DoI:10.3390/rs10050692.
  • Eghdami, M., Bhushan, S., and Barros, A.P., 2018: Direct numerical simulations to investigate energy transfer between meso- and synoptic scales. J.Atmos.Sci., DoI: 10.1175/JAS-D-17-0216.1. (Utku Award, Duke University).
  • Lowman, L., and Barros, A.P., 2018: Predicting Canopy Biophysical Properties and GPP Sensitivity to Water-limiting Conditions using a Coupled Eco-Hydrologic Framework. Ecol. Modelling, DoI:10.1016/j.ecolmodel.2018.01.011.
  • Duan, Y., Petters, M. D., and Barros, A. P. ,2017. Understanding aerosol-cloud interactions in the development of orographic cumulus congestus during IPHEx, Atmos. Chem. Phys. Discuss., DoI:10.5194/acp-2017-396.
  • Duan,Y., and Barros, A.P., 2017: Understanding how low-level clouds and fog modify the diurnal cycle of orographic precipitation using in situ and satellite observations. Remote Sensing, 9(9), 920; DoI:10.3390/rs9090920.
  • Barros, A.P., Hodes, J., and Arulraj, M. 2017: Decadal Climate Variability and the Spatial Organization of Deep Hydrological Drought. Env.Res.Letters, DoI:10.1088/1748- 9326/aa81de.
  • Arulraj, M. and Barros, A. P., 2017: Shallow Precipitation Detection and Classification Using Multifrequency Radar Observations and Model Simulations. J. Atmos. Ocean. Tech.,10.1175/JTECH-D-17-0060.1 (Utku Award, Duke University).
  • Wilson, A. M., and Barros, A.P., 2017: Orographic Land-Atmosphere Interactions and the Diurnal Cycle of Low level Clouds and Fog. J. Hydrometeorology, 10.1175/JHM-D-16-0186.1.
  • Tao, J., and Barros, A.P., 2017: Multi-Year Atmospheric Forcing Datasets for Hydrologic Modeling in Regions of Complex Terrain - Methodology an Evaluation of over the IPHEx2014 Domain. J. Hydrol., 10.1016/j.jhydrol.2016.12.058
  • Kang, D.-H., Barros, A.P, Kim, E., 2016: Evaluating MultiSpectral Snowpack Reflectivity With Changing Snow Grain Sizes. IEEE TGRSS, 10.1109/TGRS.2016.2600958.
  • Lowman,L.E.L, and Barros, A.P., 2016: Interplay of Drought and Tropical Cyclone Activity in SE US Gross Primary Productivity. J.G.R.- Biogeosciences,10.1002/2015JG003279.
  • Tao, J., Wu, D., Gourley, J., Zhang, S.Q., Crow, W., Peters-Lidard, C.,and Barros, A.P., 2016: Operational Hydrological Forecasting during the IPHEx-IOP Campaign- Meet the Challenge. J. Hydrology, 10.1016/j.jhydrol.2016.02.019.
  • Wilson, A. M., and Barros, A.P., 2015: Landform Controls on Low Level Moisture Convergence and the Diurnal Cycle of Warm Season Orographic Rainfall in the Southern Appalachians, J. Hydrol., Vol. 531 (2), 475-493. DoI:10.1016/j.jhydrol.2015.10.068.
  • Nogueira, M., and Barros, A.P., 2015: Transient Stochastic Downscaling of Quantitative Precipitation Estimates for Hydrological Applications. J. Hydrology, No. 529, 1407- 1421. DoI:10.1016/j.jhydrol.2015.08.041.
  • Sun, X.,and Barros, A. P., 2015: Impact of Amazonia evapotranspiration on moisture transport and convection along the eastern flanks of the Andes. Q.J.R. Meteorol. Soc., DoI: 10.1002/qj.2615.
  • Dimri, A.P., Niyogi, D., Barros, A.P., Ridley, J., Mohanty, U.C., Yasunari, T., Sikka, D.R., 2015: Western Disturbance(s): a Review. Reviews of Geophysics, DoI:10.1002/2014RG000460.
  • Duan, Y., Wilson, A.M., and Barros, A.P., 2015: Scoping a Field Experiment: Error Diagnostics of TRMM Precipitation Radar Estimates in Complex Terrain as a basis for IPHEx2014. Hydrol. Earth Sys. Sci., 19,1501-1520 Doi:10.5194/hess-19-1501-2015.
  • Angulo-Martinez, M., and Barros, A.P., 2015: Measurement Uncertainty in rainfall kinetic energy and intensity relationships for soil erosion studies: an evaluation using PARSIVEL disdrometers in the Southern Appalachian Mountains. Geomorphology, 228, 28-40,DoI:10.1016/j.geomorph.2014.07.036.
  • Sun, X., and Barros, A.P., 2015: Isolating the Role of surface evapotranspiration on moist convection and cloud formation along the eastern flanks of the Andes using a quasi- idealized approach. J. Atmos. Sciences, DoI:10.1175/JAS-D-14-048.
  • Nogueira, M., and Barros, A.P., 2014: The non-convective/convective structural transition in stochastic scaling of atmospheric fields. J. Geophys. Res- Atmos., 119,DoI: 10.1002/2014JD022548.
  • Band, L., McDonnell, J., Barros, A., Bejan, A., Burt, T., Dietrich, W., Emanuel, R., Duncan, J., Hwang, T., Katul, G. Kim, Y., McGlynn, B., Miles, B., Porporato, A., Scaife, C., Troch, P., 2014: Ecohydrological flow networks in the subsurface. Ecohydrology, 7,1073-1078.
  • Erlingis, J. M., and Barros, A.P., 2014: A case study of the role of daytime land-atmosphere interactions on nocturnal convective activity in the Southern Great Plains during CLASIC. J. Hydromet., Vol.15, 5, 1932-1953, DoI:10.1175/jhm-d-14-00161.
  • Lowman, L. E.L., and Barros, A.P., 2014: Investigating Links between Climate and Orogeny in the central Andes: Coupling Erosion and Precipitation using a Physical- Statistical Model. J. Geophys. Res- Earth Surface, 119,1-32.
  • Wilson, A. M., and Barros, A.P., 2014: An investigation of warm rainfall microphysics in the Southern Appalachians: orographic enhancement via low-level seeder-feeder interactions. J. Atmos. Sci., Vol. 5, No.5, 1783-1805.
  • Barros, A.P., Duan, Y., Brun, J., Medina, M.A., 2014: Flood Nonstationarity in the SE and Mid-Atlantic Regions of the United States. J. Hydrologic Engineering, DOI:(ASCE)HE.1943-5584.0000955.
  • Tao, J. and Barros, A.P., 2014: Coupled Prediction of flood response and debris flows initiation during warm and cold season events in the Southern Appalachians, USA. Hydrol. and Earth System Sciences. DOI:10.5194/hess-18-1-2014.
  • Brun, J. and Barros, A.P., 2014: Mapping the Role of Tropical Cyclones on the Hydroclimate of the southeast United States: 2002-2011, Int. J. of Climatology, DOI:10.1002/joc.3703.
  • Sun, X., and Barros, A.P., 2013: High resolution simulation of Tropical Storm Ivan (2004) in the Southern Appalachians: Role of Planetary boundary layer schemes and cumulus parameterization. Q.J.R. Meteorol. Soc., DOI:10.1002/qj.2255.
  • Nogueira, M., Barros, A.P., Miranda, P., 2013: Multifractal properties of embedded convective structures in orographic precipitation: toward subgrid-scale predictability. Nonlinear Processes in Geophysics, 20, 1-17, DOI:10.5194/npg-20-1-2013.
  • Tao, J., and Barros, A. P., 2013: Prospects for Flash Flood Forecasting In Mountainous Regions-An Investigation of Tropical Storm Fay in the Southern Appalachians. J. Hydrology, DOI:10.1016/j.jhydrol.2013.02.052.
  • Kang, D.K., Barros, A.P., Dery, S..J., 2013: Evaluating Passive Microwave Radiometry for the Dynamical Transition from Dry to Wet Snowpacks. IEEE TGRSS, DOI: 10.1109/TGRS.2012.2234468.
  • Li, L., Li, W., and Barros, A.P., 2013: Summer precipitation variability over the Southeastern United States. Climate Dynamics, DOI:10.1007/s00382-013-1697-9.
  • Brun, J., and Barros, A.P., 2013: Exploring the Use of MODIS Vegetation Products to Monitor Hydroecological Impacts of Extreme Events in the Southeast United States. Int. J. Remote Sensing, 34:2, 519-544. http://dx.doi.org/:10.1080/01431161.2012.714088.
  • Shrestha,P., and Barros, A. P., and Khlystov, A.,2012: CCN estimates from bulk hygroscopic growth factors of ambient aerosols during the pre-monsoon season over Central Nepal. Atmospheric Environment, doi: 10.1016/j.atmosenv.2012.10.042.
  • Sun, X., and Barros, A.P., 2012: The impact of forcing dataset on the high resolution simulation of Tropical Storm Ivan (2004) in the Southern Appalachians. Monthly Weather Review, doi: 10.1175/MWR-D-11-00345.1
  • Wohl, E., Barros, A.P., Brunsell, N. , Chappell, N., Coe, M., Giambelluca, T., Goldsmith, S., Harmon, R., Hendrickx, J., Juvik, J., McDonnell, J., and Ogden, F., 2012: A research vision for hydrology of the humid tropics: Balancing water, energy, and land use. Nature Climate Change, doi:10.1038/NCLIMATE1556.
  • Prat, O., Barros, A.P., Testik, F., 2012: On the Influence of Raindrop Collision Outcomes on Equilibrium Size distributions. J. Atmos. Sci., 69, 1534-1546.
  • Tapiador, F., A. Hou, M. de Castro, R. Checa, Cuartero, F, and Barros, A.P., 2011: Precipitation estimates for hydroelectricity. Energy and Envir. Science, doi:10.1039/C1EE01745D.
  • Kang, D.H., and Barros, A. P., 2012b: Observing System Simulation of Snow Microwave Emissions over Data Sparse Regions. Part 2: Multilayer Physics, IEEE TGRSS, doi:10.1109/TGRS.2011.2169074.
  • Kang, D.H., and Barros, A. P., 2012a: Observing System Simulation of Snow Microwave Emissions over Data Sparse Regions. Part 1: Single Layer Physics, IEEE TGRSS, doi:10.1109/TGRS.2011.2169073.
  • Brun, J., Shrestha, P. , Barros, A.P., 2011: Aerosol runup along the Himalayan range. Atmospheric Environment, 45,6382-6392.
  • Testik, F., Barros, A.P., Bliven, L., 2011: Toward a Physical Characterization of Raindrop Collision Outcomes. J. Atmos. Sci., doi: 10.1175/2010JAS3706.1.
  • Shrestha P., Barros, A.P., Khlystov A., 2010: Chemical composition and aerosol size distribution of the middle mountain range in the Nepal Himalayas during the 2009 pre- monsoon season, Atmospheric Chemistry and Physics, doi:10.5194/acp-10-11605-2010.
  • Kang, D.H., and Barros, A. P., 2010: Introducing an L-band Snow Sensor System for In Situ Monitoring of Changes in Water Content - Full-System Testing. IEEE TGARSS, Vol. 49, Issue:4; doi: 10.1109/TGRS.2010.2072786 .
  • Shrestha, P., and Barros, A.P., 2010: Joint Spatial Variability of Aerosol, Clouds and Rainfall intheHimalayasfromSatelliteData,Atmos.Chemistryand Physics,10,1- 13.doi:10.5194/acp-10-1-2010.
  • Prat , O., and Barros, A.P., 2010b: Assessing satellite-based precipitation estimates in the Southern Appalachian Mountains using raingauges and TRMM PR. Adv. Geosci., 25, 143–153.
  • Barros, A.P., Prat, O., Testik, F., 2010: “Size distribution of raindrops”, Nature Physics, 6, 232.
  • Barros, A.P., 2010: Reply to comment by Qingyun Han on “Metrics to describe the dynamical evolution of atmospheric moisture: Intercomparison of model (NARR) and observations (ISCCP)” by Tao and Barros (2008). J. Geophys. Res., 115, D14125, doi:10.1029/2009JD013562.
  • Prat, O., and Barros, A. P., 2010: Ground Observations to Characterize the Spatial Gradients and Vertical Structure of Orographic Precipitation – Experiments in the Inner Region of the Great Smoky Mountains , J. Hydrology, doi:10.1016/j.jhydrol.2010.07.013.
  • Sun, X., and Barros, A.P., 2010a: �An Evaluation of the Statistics of Rainfall Extremes in Rainguage Observations, and Satellite-based and Reanalysis Products Using Multifractals�, J. Hydromet., doi:10.1175/2009JHM1142.1
  • Yildiz, O. and Barros, A.P., 2009. Evaluating spatial variability and scale effects on hydrologic processes in a midsize river basin. Scientific Research and Essays, 4(4): 217-225.
  • Tao, K, and Barros, A.P., 2009: Fractal Downscaling of Satellite Precipitation Products for Hydrometeorological Applications. J. Atmos. Oceanic Technol., Vol. 27, doi: 10.1175/2009JTECHA1219.1
  • Prat, O., and Barros, A.P., 2009: Exploring the transient behavior of Z-R relationships- Implications for Radar Rainfall Estimation. J.Appl.Meteor.Clim., 48 (10), 2127-2143.
  • Giovannettone, J.P., and Barros, A.P., 2009: Probing Regional Landform Controls of Cloudiness and Precipitation in the Central Andes Using Satellite Data. J. Hydrometeorology, Vol. 10, 167-182.
  • Barros, A.P., and Tao, K., 2008: A Space-Filling Algorithm to Extrapolate Narrow Swath Instantaneous TRMM Microwave Rain Rate Estimates Using Thermal IR Imagery. J. Atmos. Oceanic Technol., Vol. 25, No.11, 1901-1920.
  • Barros, A.P., Prat, O., Shrestha, P., Testik, F., and Bliven, L., 2008: Revisiting Low and List (1982): Evaluation of Raindrop Collision Parameterizations Using Laboratory Observations and Modeling. J. Atmos. Sci. , Vol. 65, No. 9, 2983�2993.
  • Prat, O., Barros, A.P., and Williams, C., 2008: An intercomparison of model simulations and VPR estimates of the vertical structure of warm stratiform rainfall during TWP-ICE . J. Applied Meteor. and Clim., Vol. 47, No. 11, 2797–2815.
  • Tao, K., and Barros, A.P., 2008: Metrics to describe the dynamical evolution of atmospheric moisture: Intercomparison of model (NARR) and observations (ISCCP), J. Geophys. Res.,113, D14125, doi:10.1029/2007JD009337.
  • Giovannettone, J.P., and Barros, A.P., 2008: A Remote Sensing Survey of the Role of Landform on the Organization of Orographic Precipitation in Central and Southern Mexico. J. Hydrometeorology, doi:10.1175/2008JHM947.1.
  • Barros, A.P., and Bowden, G., 2008: Toward Long-Lead Forecasts of Drought: A Case-Study in the Murray-Darling River Basin. J. Hydrology, doi:10.1016/j.jhydrol.2008.05.026.
  • Bhushan, S., and Barros, A.P., 2007: A Numerical Study to Investigate the Relationship Between Moisture Convergence Patterns and the Spatial Distribution of Orographic Precipitation Features from TRMM in Central Mexico. J. of Hydromet., 8,1264-1284.
  • Prat, O., and Barros, A.P., 2007b: A Robust Solution for the Stochastic Collection-Breakup Equation in Warm Rain. J. Applied Meteorology, 46(9), 1480-1497.
  • Testik, F., and Barros, A.P., 2007: Towards Elucidating the Microstructure of Warm Rainfall: A Survey. Reviews of Geophysics, 45, RG2003, doi:10.1029/2005RG000182.
  • Simoes, S., and Barros, A.P., 2007: Regional Hydroclimatic Variability and Brazil's 2001 Energy Crisis. Management of Environmental Quality, Vol. 18(3), 263-273.
  • Prat, O., and Barros, A.P., 2007: Exploring the use of a column model for the characterization of microphysical processes in warm rain: preliminary results for a homogeneous rainshaft model. Advances in Geosciences, 10 (22), 1-8.
  • Chiao, S., Barros, A.P., 2007: A Numerical Study of the Hydrometeorological Dryline in Northwest India During the Monsoon, J. Met. Soc. Japan, Vol. 85, Special Issue, 1-25.
  • Yildiz, O., and Barros, A.P., 2007: Elucidating Vegetation Controls on the Hydroclimatology of a Mid-Latitude Basin. J. Hydrology, 333,431-448, doi:10.1016/j.jhydrol.2006.09.10.
  • Testik, F., Barros, A.P., Bliven, L., 2006: Field Observations of Raindrop Oscillations By High-Speed Imaging. J. Atmospheric Sciences, Vol. 63, No. 10, pages 2663-2667.
  • Wu, S., Bras., R., and Barros, A.P., 2006: Sensitivity of Chanel Profiles to Precipitation Properties in Mountain Ranges, J. Geophys. Res. - Earth Surface, 111, F01024, doi:10.1029/2004JF000164.
  • Barros, A.P., Chiao, S., Lang, T.J., Putkonen, J., and Burbank, D., 2006: From Weather to Climate - Seasonal and Interannual Variability of Storms in the Himalayas. Tectonics, Climate and Landscape Evolution, GSA Special Paper 398, 17-38, doi:10.1130/2006.2398(02).
  • Higgins,W., and many others, 2006: The North American Monsoon Experiment (NAME) 2004 Field Campaign and Modeling Strategy. Bulletin of the American Meteorological Society,Vol. 87. No.1, Bulletin of the American Meteorological Society, Vol. 87. No.1, pp.79-94, doi: 10.1175/BAMS-87-1-79.
  • Gebremichael, M, and Barros, A.P., 2005: Evaluation of MODIS Gross Primary productivity (GPP) in the Tropics During the Monsoon. Remote Sensing of the Environment, doi:10.1016/j.rse.2005.10.009.
  • Gochis, D., Barros, A., Gettelman, A., Wang, J., and many others, 2005: Future Scientific Directions: The Water Cycle. Bulletin of the Americal Meteorological Society, Vol. 86, No. 12, pp. 1743–1746. doi: 10.1175/BAMS-86-12-1743
  • Garcia-Quijano, J. and Barros, A.P., 2005: Incorporating Vegetation Dynamics into a Hydrological Model: Photosynthesis, Dynamic Respiration and Stomatal Sensitivity. Ecological Modeling, Vol. 185, 29-49 .
  • Lang , T.J. and Barros, A.P., 2004: Winter Storms in the Central Himalayas. J. Japanese Meteo. Soc., Vol. 82, No.4, 829-844.
  • Barros, A.P., Kim, G., Williams, E., and Nesbitt, S.W., 2004: Probing Orographic Controls in the Himalayas During the Monsoon Using Satellite Imagery. Natural Hazards and Earth System Science, Vol. 4, 1-23.
  • Magagi, R. ,and Barros, A.P., 2004: Latent Heating of Rainfall During the Onset of the Indian Monsoon Using TRMM-PR and Radiosonde Data. J. Applied Meteorology, Vol. 43., No.2, 328-349.
  • Douglas, E. and Barros, A.P., 2003: Probable Maximum Precipitation Estimation Using Multifractals: Application in the Eastern United States. J. Hydromet., 4(6), 1012-1024.
  • Burbank, D.W., A.E. Blythe, J. Putkonen, B. Pratt, E. Gabet, M.Oskin, A. Barros, T.P. Ojha, 2003: Decoupling of erosion and precipitation in the Himalaya. Nature, 426, 652-655.
  • Barros, A.P., and Lang, T.J., 2003: Monitoring the Monsoon in the Himalayas: Observations in Central Nepal, June 2001. Monthly Weather Review, Vol. 131. No.7, 1408-1427.
  • Kim, G. and Barros, A.P., 2002b: Downscaling of Remotely-Sensed Soil Moisture with a Modified Fractal Interpolation Method Using Contraction Mapping and Ancillary Data. Remote Sensing of the Environment, Vol. 83, 400-413.
  • Devonec, E. and Barros, A. P., 2002: Exploring the Transferability of a Land-Surface Hydrology Model. J. Hydrology, Vol. 265, 258-282.
  • Barros, Ana P., and Hwu, W. 2002: A Study of Land-Atmosphere Interactions During Summertime Rainfall Using a Mesoscale Model. J. Geophysical Research-Atmospheres, AGU(Pub.), Vol. 107, 10.1029/2000JD000254.
  • Lang, T., and Barros, Ana P., 2002: An Investigation of the Onsets of the 1999 and 2000 Monsoons in Central Nepal, Monthly Weather Review, Vol. 130, No. 5, 1299-1316.
  • Kim, G., and Barros, Ana P., 2002a: Space-Time Characterization of Soil Moisture From Passive Microwave Remotely Sensed Imagery and Ancillary Data. Remote Sensing of the Environment, Vol. 81,393-403.
  • Bindlish, R., and Barros, A.P., 2002: Sub-Pixel Variability of Remotely-Sensed Soil Moisture- An Intercomparison Study of SAR and ESTAR. IEEE Transactions in Geoscience and Remote Sensing, Vol. 40, 326-337.
  • Kuligowski, R.J., and Barros, A.P., 2001b: Combined IR/Microwave Satellite Retrieval of Temperature and Dewpoint Profiles Using Artificial Neural Networks. J. Applied Meteorology, Vol. 40, 2051-2067.
  • Kuligowski, R.J., and Barros, A.P., 2001a: Blending Multiresolution Satellite Data with Application to the Initialization of an Orographic Precipitation Model,. J. Applied Meteorology, Vol. 40, No.9, 1592-1606.
  • Kim, G., and Barros, A.P., 2001: Quantitative Flood Forecasting Using Multisensor Data and Neural Networks. J. Hydrology, 246, 45-62.
  • Barros, A.P., and Colello, J. D., 2001: Surface Roughness for Shallow Overland Flow on Crushed Stone Surface. J. of Hydraulic Engineering, ASCE, Vol. 1, 38-52.
  • Bindlish, R., and Barros, A.P., 2001: Parameterization of Vegetation Backscatter in Radar-Based Soil Moisture Estimation. Remote Sensing of the Env., Vol.76, 130-137.
  • Niemeier, D., Boulanger, R., Bayly, P., Schmid, S., Muraleetharam, K., and Barros, A., 2001: Integration of Engineering Education and Research - Perspectives from the NSF Civil and Mechanical Systems 1998 CAREER Workshop, J. Eng. Education, 90(2), 199-202.
  • Barros, A.P., Joshi, M., Putkonen, J., and Burbank, D.W., 2000: A study of the 1999 monsoon rainfall in a mountainous region in Central Nepal using TRMM products and rain gauge observations. Geophysical Research Letters, Vol. 27, No.22, 3683-3686.
  • Bindlish, R., and Barros, A.P., 2000b: Disaggregation of Rainfall for one-way Coupling of Atmospheric and Hydrological Models in Regions of Complex Terrain.Global & Planetary Change, Vol. 25, 111-132.
  • Bindlish, R., and Barros, A.P., 2000a: Multi-frequency Soil Moisture Inversion from SAR Measurements with the Use of IEM. Remote Sensing of the Environment, Vol. 71, No.1, 67-88.
  • Kuligowski, R.J., and Barros, A.P., 1999: High-Resolution Short-term Quantitative Precipitation Forecasting in Mountainous Regions, JGR-Atmospheres, Vol. 104(D24), 31553-31564.
  • Barros, A.P., and Bindlish, R., 1999: Using Image Analysis Techniques for Intercomparison of Spatial Variables: An Application to Satellite Observations and Model Simulations of Cloud Fields. Systems Research and Information Science, GORDON & BREACH SCIENCE PUBLISHERS S A,Vol. 8, No. 4, 273-293.
  • Barros, A.P., Knapton, D., Wang, M.C., and Kuo, C.Y., 1999: Runoff Production in Shallow Soils. J. of Hydrologic Engineering, ASCE, Vol. 4, No.1, 28-37.
  • Kuligowski, R.J., and Barros, A.P., 1998c: Localized Precipitation Forecasts from a Numerical Weather Prediction Model Using Artificial Neural Networks. Weather and Forecasting, Vol. 13, No.4, 1194-1204.
  • Kuligowski, R. J., and Barros, A.P., 1998b: Using Artificial Neural Networks to Estimate Missing Rainfall Data. J. of American Water Resources Association, Vol. 34, No.6, 1-11.
  • Barros, A.P., and Kuligowski, R.J., 1998: Orographic Effects During a Severe Wintertime Rainstorm in the Appalachian Mountains. Monthly Weather Review, 126, 2648-2672.
  • Kuligowski, R.J., and Barros, A.P., 1998a: Experiments in Short-Term Precipitation Forecasting Using Artificial Neural Networks. Monthly Weather Review, 126, 470-482.
  • Barros, A.P., and Evans, J.L., 1997: Designing for Climate Variability. J. of Professional Issues in Engineering Education and Practice, ASCE, 123, No.2, 62-65.
  • Bindlish, R. and Barros, A.P., 1996: Aggregation of Digital Terrain Data Using a Modified Fractal Interpolation Scheme. Computers & Geosciences, 22, 907-917.
  • Barros, A.P., 1996: An Evaluation of Model Parameterization of Sediment Pathways - A Case-Study for the Tejo Estuary. Continental Shelf Research, 16,1725-1749.
  • Barros, A.P., 1995: Adaptive Multilevel Modeling of Land-Atmosphere Interactions. J. Climate, 8, 2144-2160
  • Barros, A.P. and Lettenmaier, D.P., 1994: Dynamic Modeling of Orographically-Induced Precipitation. Reviews of Geophysics, 32, 265-284.
  • Barros, A.P., and Lettenmaier, D.P., 1994: Introduction of a Very Simple Evaporative Cooling Scheme into a Dynamic Model of Precipitation Efficiency in Mountainous Regions. Monthly Weather Review, 122, 2777-2783.
  • Barros, A.P., and Lettenmaier, D.P., 1993: Dynamic Modeling of the Spatial Distribution of Precipitation in Remote Mountainous Areas. Monthly Weather Review, 121, 1195-1214.

Honors

  • Fellow, American Meteorological Society (2008)
  • Editor's Citation for Excellence in Refereeing for Reviews of Geophysics (2011)
  • Fellow, American Geophysical Union (2014)
  • Fellow, American Society of Civil Engineers (2016)
  • Fellow, American Association for the Advancement of Science (2017)
  • Member, National Academy of Engineering (2019)

Research Honors

  • Agency Group Achievement Award (to Global Precipitation Measurement Post-Launch Team), NASA (2015)
  • Borland Hydrology Award and Lecture (2022)
  • ASCE Ven Te Chow Award and Lecture (2024)
  • AIH Ray K. Linsley Award and Lecture (2025)