Publication

Published, accepted or in press
* Advisee or post-doctoral associate 

2019

  1. Diakakis, M., Andreadakis, E., Nikolopoulos, E.I., Spyrou, N.I., Gogou, M.E., Deligiannakis, G., Katsetsiadou, N.K., Antoniadis, Z., Melaki, M., Georgakopoulos, A. and Tsaprouni, K., 2019. An integrated approach of ground and aerial observations in flash flood disaster investigations. The case of the 2017 Mandra flash flood in Greece. International Journal of Disaster Risk Reduction33, pp.290-309.
  2. Koukoula, M., Nikolopoulos, E.I., Kushta, J., Bartsotas, N.S., Kallos, G. and Anagnostou, E.N., 2019. A Numerical Sensitivity Analysis of Soil Moisture Feedback on Convective Precipitation. Journal of Hydrometeorology20(1), pp.23-44.
  3. Lakew, H.B., Moges, S.A., Anagnostou, E.N., Nikolopoulos, E.I. and Asfaw, D.H., 2019. Evaluation of Global Water Resources Reanalysis Runoff Products for Local Water Resources Applications: Case Study-Upper Blue Nile Basin of Ethiopia. Water Resources Management, pp.1-21.
  4. McGraw, D., E.I. Nikolopoulos, F. Marra, E.N. Anagnostou. Precipitation frequency analyses based on radar estimates: An evaluation over the contiguous United States. Journal of Hydrology (in press)

2018

  1. Anagnostou, M., Nikolopoulos, E., Kalogiros, J., Anagnostou, E., Marra, F., Mair, E., Bertoldi, G., Tappeiner, U. and Borga, M., 2018. Advancing Precipitation Estimation and Streamflow Simulations in Complex Terrain with X-Band Dual-Polarization Radar Observations. Remote Sensing10(8), p.1258.
  2. Bartsotas, N. S., Anagnostou, E. N., Nikolopoulos, E. I., & Kallos, G. (2018). Investigating satellite precipitation uncertainty over complex terrain. Journal of Geophysical Research: Atmospheres.
  3. Bhuiyan, M.A.E., Nikolopoulos, E.I., Anagnostou, E.N., Quintana-Seguí, P., Barella-Ortiz, A., 2018: A nonparametric statistical technique for combining global precipitation datasets: Development and hydrological evaluation over the Iberian Peninsula Hydrology and Earth System Sciences 22(2), pp. 1371-1389
  4. Cioni, G., Cerrai, D., Klocke, D., 2018. Investigating the predictability of a Mediterranean Tropicallike Cyclone using a non-hydrostatic high-resolution model. Quarterly Journal of the Royal Meteorological Society. In Press.O. Tzoraki, Z. Dokou, G. Christodoulou, P. Gaganis, G.P. Karatzas (2018) Assessing the efficiency of a coastal Managed Aquifer Recharge (MAR) system in Cyprus, Science of the Total Environment, 626, 875-886; doi.org/10.1016/j.scitotenv.2018.01.160
  5. Derin, Y., Anagnostou E., Anagnostou M. N., Kalogiros J., Casella D., Marra A. C., Panegrossi G., and Sano P., 2018: Passive Microwave Rainfall Error Analysis Using High-Resolution X-Band Dual-Polarization Radar Observations in Complex Terrain. IEEE Transactions on Geoscience and Remote Sensing, 56:5, 2565-2586; 10.1109/TGRS.2017.2763622 
  6. Destro, E., Amponsah, W., Nikolopoulos, E. I., Marchi, L., Marra, F., Zoccatelli, D., & Borga, M. (2018). Coupled prediction of flash flood response and debris flow occurrence: application on an alpine extreme flood event. Journal of Hydrology.
  7.  Dis, M.O., Anagnostou, E., Mei, Y., 2018: Using high-resolution satellite precipitation for flood frequency analysis: case study over the Connecticut River Basin Journal of Flood Risk Management 11, pp. S514-S526
  8. Erlingis, J.M., Gourley, J.J., Kirstetter, P.-E., Anagnostou, M.N., Petersen, W., 2018: Evaluation of operational and experimental precipitation algorithms and microphysical insights during iphex Journal of Hydrometeorology 19(1), pp. 113-125
  9. Hardesty, S., Shen, X., Nikolopoulos, E. and Anagnostou, E., 2018. A Numerical Framework for Evaluating Flood Inundation Hazard under Different Dam Operation Scenarios—A Case Study in Naugatuck River Water10(12), p.1798.
  10. Marra, F., Nikolopoulos, E. I., Anagnostou, E. N., & Morin, E. (2018). Metastatistical Extreme Value analysis of hourly rainfall from short records: estimation of high quantiles and impact of measurement errors. Advances in Water Resources.
  11. Nikolopoulos, E.I., Destro, E., Bhuiyan, M.A.E., Borga, M. and Anagnostou, E.N., 2018. Evaluation of predictive models for post-fire debris flow occurrence in the western United States. Natural Hazards and Earth System Sciences18(9), pp.2331-2343.
  12.  N.N. Kourgialas, I. Anyfanti, G.P. Karatzas, Z. Dokou (2018) An integrated method for assessing drought prone areas – Water efficiency practices for a climate resilient Mediterranean agriculture. Science of the Total Environment, 625, 1290–1300; doi.org/10.1016/j.scitotenv.2018.01.051
  13.  N.N. Kourgialas, G.P. Karatzas, Z. Dokou, A. Kokorogiannis (2018) Groundwater footprint methodology as policy tool for balancing water needs (agriculture & tourism) in water scarce islands – The case of Crete, Greece. Science of the Total Environment, 615, 381–389; doi.org/10.1016/j.scitotenv.2017.09.308
  14. Wanik, D.W., Anagnostou, E.N., Astitha, M., Hartman, B.M., Lackmann, G.M., Yang, J., Cerrai, D., He, J. and Frediani, M.E.B., 2018. A Case Study on Power Outage Impacts from Future Hurricane Sandy Scenarios. Journal of Applied Meteorology and Climatology, 57(1), pp.51-79.  
  15.  Wanik, D., Anagnostou, E., Hartman, B., Layton, T., 2018: Estimated Time of Restoration (ETR) Guidance for Electric Distribution Networks Journal of Homeland Security and Emergency Management 15(1),20160063
  16. Zhang X., E.N. Anagnostou and C. Schwartz, 2018: NWP-Based Adjustment of IMERG Precipitation for Flood-Inducing Complex Terrain Storms: Evaluation over CONUS. Remote Sensing, 10(4), 642

2017

      1. Alo, C.A., Anagnostou, E.N. 2017: A sensitivity study of the impact of dynamic vegetation on simulated future climate change over Southern Europe and the Mediterranean International Journal of Climatology 37(4), pp. 2037-2050
      2. Azage, M., Kumie, A., Worku, A., Bagtzoglou, A.C., Anagnostou, E., 2017:  Effect of climatic variability on childhood diarrhea and its high risk periods in northwestern parts of Ethiopia PLoS ONE 12(10),e0186933
      3. Bartsotas N., E.I. Nikolopoulos, E.N. Anagnostou, S. Solomos, G. Kallos (2017). Moving towards sub-km modeling grid spacings: Impacts on atmospheric and hydrological simulations of extreme flash-flood inducing storms. Journal of Hydrometeorology, 18(1), 209-226.
      4. Bhuiyan, M.A.E., Anagnostou, E.N., Kirstetter, P.-E., 2017: A Nonparametric Statistical Technique for Modeling Overland TMI (2A12) Rainfall Retrieval Error IEEE Geoscience and Remote Sensing Letters 14(11),8066440, pp. 1898-1902
      5. Destro E., F. Marra, E.I. Nikolopoulos, D. Zoccatelli, J.D. Creutin and M. Borga (2017). Spatial estimation of debris flows-triggering rainfall and its dependence on rainfall return period, Journal of Geomorphology, 278 IS, 269-279.
      6. Diakakis, M, E I Nikolopoulos, S Mavroulis, E Vassilakis, and E Korakaki. (2017). Observational evidence on the effects of mega-fires on the frequency of hydrogeomorphic hazards. The case of the Peloponnese fires of 2007 in Greece, Science of the Total Environment, 592, 262–76.
      7. Frediani, M.E.B., Hopson, T.M., Hacker, J.P., (…), Delle Monache, L., Vandenberghe, F., 2017: Object-based analog forecasts for surface wind speed Monthly Weather Review 145(12), pp. 5083-5102
      8. He, J., Wanik, D.W., Hartman, B.M.,Anagnostou, E.N., Astitha, M., Frediani, M.E.B. 2017: Nonparametric Tree-Based Predictive Modeling of Storm Outages on an Electric Distribution Network Risk Analysis 37(3), pp. 441-458
      9. Maggioni V., E.I. Nikolopoulos, E.N. Anagnostou and M. Borga (2017). Modeling satellite precipitation errors over mountainous terrain: the influence of gauge density, seasonality, and temporal resolution, IEEE Transactions on Geosciences and Remote Sensing, PP(99), 1-11.
      10. Mao, K., X. Shen, Z. Zuo, Y. Ma, G. Liu and H. Tang, (2017). “An Advanced Radiative Transfer and Neural Network Scheme and Evaluation for Estimating Water Vapor Content from MODIS Data”, Atmosphere, vol. 8(139), doi:10.3390/atmos8080139
      11. Marra, F., E. Destro, E.I. Nikolopoulos, D. Zoccatelli, F. Guzzetti, and M. Borga (2017). Impact of rainfall spatial aggregation on the identification of debris flow occurrence thresholds. Hydrology and Earth System Sciences, 21(9), 4525-4532.
      12. Marra, F., Morin, E., Peleg, N., Mei, Y., Anagnostou, E.N., 2017: Intensity-duration-frequency curves from remote sensing rainfall estimates: Comparing satellite and weather radar over the eastern Mediterranean Hydrology and Earth System Sciences 21(5), pp. 2389-2404
      13. Mei, Y.,X. Shen and E. N. Anagnostou, (2017). “A Synthesis of Space-time Variability in Multi-component Flood Response” Hydrology and Earth System Sciences, vol. 21, pp.2277-2299.
      14. Mei, Y., E.N. Anagnostou, X. Shen, and E.I. Nikolopoulos (2017). Decomposing the Satellite Precipitation Error Propagation Through the Rainfall-Runoff Processes. Advances in Water Resources, 109, 253-266.
      15. Miglietta, M.M., Cerrai, D., Laviola, S., Cattani, E. and Levizzani, V., 2017. Potential vorticity patterns in Mediterranean “hurricanes”. Geophysical Research Letters, 44(5), pp.2537-2545.
      16. Nikolopoulos E.I., E. Destro, V. Maggioni, F. Marra and M. Borga (2017). Satellite-rainfall estimates for debris flow prediction: An evaluation based on rainfall accumulation-duration thresholds. Journal of Hydrometeorology, 18(8), 2207-2214.
      17. Sahlu, D., Moges, S.A., Nikolopoulos, E.I., Anagnostou, E.N., Hailu, D. 2017: Evaluation of High-Resolution Multisatellite and Reanalysis Rainfall Products over East Africa Advances in Meteorology
      18. Shen, X., and E. Anagnostou (2017) “A Framework to Improve Hyper-Resolution Hydrologic Simulation in Snow-Affected Regions”, Journal of Hydrology, vol.552, pp.1-12, DOI:10.1016/j.jhydrol.2017.05.048.
      19. Shen, X., Anagnostou, E.N., Mei, Y., Hong, Y. 2017: A global distributed basin morphometric dataset Scientific Data 4
      20. Shen, X., Mei, Y., Anagnostou, E.N., 2017: A comprehensive database of flood events in the contiguous United States from 2002 to 2013 Bulletin of the American Meteorological Society 98(7), pp. 1493-1502
      21. Wanik, D.W., Parent, J.R., Anagnostou, E.N., Hartman, B.M., 2017: Using vegetation management and LiDAR-derived tree height data to improve outage predictions for electric utilities Electric Power Systems Research 146, pp. 236-245
      22. Yang, J., Astitha, M., Anagnostou, E.N., Hartman, B.M., 2017: Using a Bayesian regression approach on dual-model windstorm simulations to improve wind speed prediction Journal of Applied Meteorology and Climatology 56(4), pp. 1155-1174

2016

      1. Beyabanaki, S.A.R., Bagtzoglou, A.C., Anagnostou, E.N., 2016: Effects of groundwater table position, soil strength properties and rainfall on instability of earthquake-triggered landslides Environmental Earth Sciences 75(4),358, pp. 1-13
      2. Derin, Y., E. N. Anagnostou, A. Berne, M. Borga, B. Boudevillain, W. Buytaert, C-H. Chang, G. Delrieu, Y. Hong, Y. C. Hsu, W. Lavado-Casimiro, B. Manz, S. Moges, E. I. Nikolopoulos, D. Sahlu, F. Salerno, J-P. Rodrigues-Sanchez, H. J. Vergera, and K. K. Yilmaz, 2016: Multi-regional satellite precipitation products evaluation over complex terrain. J. Hydrometeor., 17, 1817-1836.
      3. Frediani, M. E., Hacker, J. P., Anagnostou, E. N., & Hopson, T. (2016). Evaluation of PBL Parameterizations for Modeling Surface Wind Speed during Storms in the Northeast United States. Weather and Forecasting31(5), 1511-1528. http://journals.ametsoc.org/doi/pdf/10.1175/WAF-D-15-0139.1
      4. Mei, Y., Nikolopoulos, E.I., Anagnostou, E.N., Borga, M. 2016: Evaluating satellite precipitation error propagation in runoff simulations of mountainous basins Journal of Hydrometeorology 17(5), pp. 1407-1423
      5. Mei, Y., Nikolopoulos, E.I., Anagnostou, E.N., Zoccatelli, D., Borga, M., 2016: Error analysis of satellite precipitation-driven modeling of flood events in complex alpine terrain,  Remote Sensing 8(4),293
      6. Sahlu, D., Nikolopoulos, E.I., Moges, S.A., Anagnostou, E.N., Hailu, D., 2016: First evaluation of the day-1 IMERG over the upper blue nile basin, Journal of Hydrometeorology 17(11), pp. 2875-2882
      7. Shen, X., Yiwen Mei and Emmanouil N. Anagnostou*, (2016). “A Comprehensive Flood Events Database in Continental United States” Bulletin of the American Meteorological Society, DOI: 10.1175/BAMS-D-16-0125.1.
      8. Shen, X., Emmanouil N. Anagnostou*, Yiwen Mei and Yang Hong (2016), “A Global Distributed Basin Morphometric Dataset”, Scientific Data-Nature, 4:160124 DOI: 10.1038/sdata.2016.124.
      9. Shen, X., Humberto J. Vergara, Efthymios I. Nikolopoulos, Emmanouil N. Anagnostou*, Yang Hong, Zengchao Hao, Ke Zhang and Kebiao Mao, (2016) “GDBC: A Tool for Generating Global-Scale Distributed Basin Morphometry”, Environmental Modelling & Software, vol. 83, pp. 212–223, DOI: 10.1016/j.envsoft.2016.05.012.
      10. Shen, X., Yang Hong*, Ke Zhang, and Zengcao Hao (2016), “Refining a Distributed Linear Reservoir Routing Method”, Journal of Hydrologic Engineering, DOI: 10.1061/(ASCE)HE.1943-5584.0001442.
      11. Shen, X. and Emmanouil Anagnostou, “A Framework to Improve Hyper-Resolution Hydrologic Simulation in Snow-Affected Regions”, submitted to Journal of Hydrology in Dec., 2016.
      12. Worku L.Mulat et al. Building Household Resilience in a Village in South Wello Zone Using a Family Approach In: Tadele et al. Giving Back to the Community: Community Development Projects Implemented by Academics in Ethiopia (2016). Eclipse Printing Press, Ababa, Ethiopia.
      13. Zhang, X., Anagnostou, E.N., Vergara, H. 2016: Hydrologic evaluation of NWP-Adjusted CMORPH estimates of hurricane-induced precipitation in the southern Appalachians Journal of Hydrometeorology 17(4), pp. 1087-1099
      14. Zuba, M., Anagnostou, E., Nystuen, J., Anagnostou, M., 2016: UPAL: Underwater passive aquatic listener OCEANS 2015 – MTS/IEEE Washington

 

2015

      1. He* J., D. W. Wanik, B. M. Hartman, E. N. Anagnostou, M. Astitha, 2015: Nonparametric Tree-based Predictive Modeling of Storm Damages to Electric Distribution Network, Risk Analysis (submitted).
      2. Mei*, Y., E. N. Anagnostou, 2015: A Hydrograph Separation Method Based on Information from Rainfall and Runoff Records, Journal of Hydrology, 636-649, DOI information: 10.1016/j.jhydrol.2015.01.083.
      3. Mei*, Y., E. N. Anagnostou, E. I. Nikolopoulos, M. Borga, 2015: Reply to “Comments on ‘Error Analysis of Satellite Precipitation Products in Mountainous Basins’” Journal of Hydrometeorology, doi:http://dx.doi.org/10.1175/JHM-D-15-0022.1
      4. Nikolopoulos E., N. Bartsotas*, E.N. Anagnostou, G. Kallos, 2015: Using high-resolution numerical weather forecasts to improve remotely sensed rainfall estimates: The case of 2013 Colorado flash flood, Journal of Hydrometeorology (doi: http://dx.doi.org/10.1175/JHM-D-14-0207.1).
      5. Pensieri S., R. Bozzano, J.A. Nystuen, E.N. Anagnostou, M.N. Anagnostou, R. Bechini, 2015: Underwater acoustic measurements to estimate wind and rainfall in the Mediterranean Sea, Advances in Meteorology (doi:http://dx.doi.org/10.1155/2015/612512).
      6. Seyyedi*, H., E. N. Anagnostou, Edward Beighley, Jeffrey McCollum, 2015: Hydrologic Evaluation of the Satellite and Reanalysis Precipitation Datasets over Mid-Latitude Basins, Atmospheric Research (doi:10.1016/j.atmosres.2015.03.019).
      7. Seyyedi*, H., E. N. Anagnostou, E. Beighley, J. McCollum, Satellite-Driven Downscaling of Global Reanalysis Precipitation Products for Hydrological Applications, 2015: Hydrology and Earth System Sciences, Volume 11, Issue 7, 2014, pp.9067-9112.
      8. Tzortziou, M., C. Zeri, E. Dimitriou, Y. Ding, R. Jaffé, E. Anagnostou, E. Pitta, A. Mentzafou, 2015: Colored dissolved organic matter dynamics and anthropogenic influences in a major transboundary river and its coastal wetland, Limnology and Oceanography (DOI: 10.1002/lno.10092).
      9. Wanik* D., E. N. Anagnostou, B. M. Hartman, M. E. Frediani, M. Astitha, 2015: Storm Outage Modeling for an Electric Distribution Network in Northeastern US, Natural Hazards (conditionally accepted).
      10. Wanik* D., J. Parent, E. N. Anagnostou, B. M. Hartman, 2015: Using Vegetation Management, LiDAR and Infrastructure Data in Modeling Weather-Induced Damage to Electric Distribution Networks, Risk Analysis (submitted).
      11. Xinyi Shen, Yang Hong, Qiming Qin, Jeffery Basara and Kebiao Mao (2015). “A Semi-Physical Microwave Surface Emission Model for Soil Moisture Retrieval” IEEE Transactions on Geoscience and Remote Sensing, Vol. 53(7), pp. 4079, DOI: 10.1109/TGRS.2015.2390219

 

2014

      1. Di* D. Wu, E.N. Anagnostou, G. Wang, S. Moges, M. Zampieri, Improving the Surface-Ground Water Interactions in the Community Land Model: Case Study in the Blue Nile Basin, 2014: Water Resources Research, Volume 50, Issue 10,  pages 8015–8033.
      2. Drobinski, P., V. Ducrocq, P. Alpert, E.N. Anagnostou, et al., 2014: HyMeX, a 10-year multidisciplinary project on the Mediterranean water cycle, Bulletin of the American Meteorological Society, doi:http://dx.doi.org/10.1175/BAMS-D-12-00242.1
      3. Kalogiros, J., M. N. Anagnostou, E. N. Anagnostou, M. Montopoli, E. Picciotti, and F. S. Marzano, 2014: Evaluation of a new Polarimetric Algorithm for Rain-Path Attenuation Correction of X-Band Radar Observations Against Disdrometer Data, IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No2, 1369-79
      4. Mei*, Y., E. N. Anagnostou, E. I. Nikolopoulos, M. Borga, 2014: Error Analysis of Satellite Precipitation Products in Mountainous Basins, J. Hydrometeor, 15, 1778–1793.
      5. Mei*, Y., E. N. Anagnostou, D. Stampoulis, E. I. Nikolopoulos, M. Borga, H. J. Vegara, Rainfall organization control on the flood response of mild-slope basins, 2014: Journal of Hydrology, Volume 510, 14 March 2014, Pages 565–577.
      6. Nikolopoulos, E.I., M. Borga, D, Zoccatelli and E. N. Anagnostou, 2014: Catchment-scale storm velocity: quantification, scale dependence and effect on flood response. Hydrological Sciences Journal, 59 (7), 1363–1376.
      7. Nystuen, J., M. Anagnostou, E.N. Anagnostou, A. Papadopoulos, 2014: Monitoring Greek seas using passive underwater acoustics, Journal of Atmospheric and Oceanic Technology, Vol. 32, No. 2, 334-349
      8. Stampoulis* D., S. Z. Haddad and E. N. Anagnostou, 2014: Assessing the drivers of biodiversity in Madagascar by quantifying its hydrologic properties at the watershed scale. Remote Sensing of Environment, Volume 148, 25 May 2014, Pages 1–15.
      9. Seyyedi*, H., E. N. Anagnostou, P.E. Kirstetter, V. Maggioni, Y. Hong, J.J. Gourley, 2014: Incorporating Surface Soil Moisture Information in Error Modeling of TMI Rainfall, IEEE Transactions on Geoscience and Remote Sensing, Volume:52 , Issue: 10, pages 6226-6240.
      10. Vergara H., Y. Hong, J.J. Gourley, E.N. Anagnostou, V. Maggioni*, D. Stampoulis*, P.-E. Kirstetter, 2014: Effects of Resolution of Satellite-based Rainfall Estimates on Hydrologic Modeling Skill at Different Scales, J. Hydrometeor, 15, 593–613. doi: http://dx.doi.org/10.1175/JHM-D-12-0113.1
      11. Yewhalaw D, Hamels S, Getachew Y, Torgerson PR, Anagnostou E., Legesse W, Kloos H, Duchateau L, Speybroeck N., 2014: Water Resources Developments in Ethiopia: Benefits and Negative Impacts on the Environment, Vector-Borne Diseases and Food Security. Environmental Reviews 22(4): 364-371, 10.1139/er-2013-0076.

 

2013

      1. Anagnostou,  M., J. Kalogiros, F. S. Marzano, E. N. Anagnostou, M. Montopoli, and E. Picciotti,  2013: Performance evaluation of a new dual-polarization microphysical algorithm based on long-term X-band radar and disdrometer observations, Journal of Hydrometeorology, doi:http://dx.doi.org/10.1175/JHM-D-12-057.1
      2. Anagnostou, E.N., C. Morales, C. Pathak, 2013: Use of Storms Life Cycle Information and Lightning Data in Radar-Rainfall Estimation, ASCE-J of Hydrologic Engineering, Vol. 18, No. 2, pp. 168-174
      3. Kalogiros, J., M. N. Anagnostou, E. N. Anagnostou, M. Montopoli, E. Picciotti, F. S. Marzano, 2013: Correction of Polarimetric Radar Reflectivity Measurements and Rainfall Estimates for Apparent Vertical Profile in Stratiform Rain, Journal of Applied Meteorology and Climatology, doi:http://dx.doi.org/10.1175/JAMC-D-12-0140.1
      4. Kalogiros, J., M. N. Anagnostou, E. N. Anagnostou, M. Montopoli, E. Picciotti, and F. S. Marzano, 2013: Optimum Estimation of Rain Microphysical Parameters from X-Band Dual-Polarization Radar Observables, IEEE Transactions of Geoscience and Remote Sensing, doi: 10.1109/TGRS.2012.2211606
      5. Maggioni*, V., H. J. Vergara, E. N. Anagnostou, J. J. Gourley, Y. Hong, D. Stampoulis, 2013: Investigating the Applicability of Error Correction Ensembles of Satellite Rainfall Products in River Flow Simulations, Journal of Hydrometeorology, doi: http://dx.doi.org/10.1175/JHM-D-12-074.1
      6. Maggioni*, V., R. Reichel, E.N. Anagnostou, 2013: The Efficiency of Assimilating Satellite Soil Moisture Retrievals in a Land Data Assimilation System Using Different Rainfall Error Models, Journal of Hydrometeorology, Volume 14, Issue 1 (February 2013) pp. 368-374
      7. Mirabbasi, R., E. N. Anagnostou, A. Fakheri-Fard, Y. Dinpashoh, and S. Eslamian, 2013: Analysis of Meteorological Drought in Northwest Iran using the Joint Deficit Index, Journal of Hydrology, Volume 492, Pages 1-298 (7 June 2013).
      8. Nikolopoulos, E.I., E.N. Anagnostou, M. Borga, 2013: Using high resolution satellite rainfall products to simulate a major flash flood event in northern Italy, Journal of Hydrometeorology, Volume 14, Issue 1 (February 2013) pp. 171-185
      9. Picciotti E., F.S. Marzano, E.N. Anagnostou et al., 2013: Coupling X-band dual-polarized mini-radars and hydro-meteorological forecast models: the HYDRORAD project, Natural Hazards and Earth System Sciences 13, 1229-1241.
      10. Picciotti E., F. S. Marzano, E. N. Anagnostou, J. Kalogiros, Y. Fessas, A. Volpi, V. Cazac, R. Pace, G. Cinque, L. Bernardini, K. De Sanctis, S. Di Fabio, M. Montopoli, M. N. Anagnostou, A. Telleschi, E. Dimitriou, and J. Stella, 2013: Coupling X-band dual-polarized mini-radars and hydro-meteorological forecast models: the HYDRORAD project, Natural Hazards Earth System Science, 13, 1–13, 2013, www.nat-hazards-earth-syst-sci.net/13/1/2013/doi:10.5194/nhess-13-1-2013
      11. Stampoulis* D., E. N. Anagnostou, E. Nikolopoulos, Assessment of high-resolution satellite-based rainfall estimates over the Mediterranean during heavy precipitation events, Journal of Hydrometeorology, Volume 14, Issue 5 (October 2013) pp. 1500-1514
      12. Zhang*, X., E. N. Anagnostou, M. Frediani, S. Solomos and G. Kallos, 2013: Using NWP Analysis in Satellite Rainfall Estimation of Heavy Precipitation Events over Mountainous Areas, Journal of Hydrometeorology, Volume 14, Issue 6 (December 2013) pp. 1844-1858

 

2012

      1. Maggioni*, V., E.N. Anagnostou, R. Reichel, 2012: The impact of model and rainfall forcing errors on characterizing soil moisture uncertainty in land surface modeling, Hydrology and Earth System Science, 16, 1–17
      2. Maggioni*, V., R. Reichel, E.N. Anagnostou, 2012: The impact of rainfall error characterization on the estimation of soil moisture fields in a land data assimilation system, Journal of Hydrometeorology, Volume 13, Issue 3, pp. 1107-1118
      3. Stampoulis*, D., E.N. Anagnostou, 2012: Evaluation of Global Satellite Rainfall Products over Continental Europe, Journal of Hydrometeorology, Volume 13, Issue 2, pp. 588-603
      4. Velea*, L., T.G. Chronis, E.N. Anagnostou, A. Papadopoulos, 2012: Comparative analysis of humidity characteristics for open-sea and coastal areas in the Mediterranean, Atmospheric Research, Volume 113, September 2012, Pages 126-139
      5. Zampieri, M., E. Serpetzoglou, E.N. Anagnostou, E.I. Nikolopoulos and A. Papadopoulos, 2012: Improving the Representation of River-Groundwater Interactions in Land Surface Modeling at the Regional Scale: Observational Evidence and Parameterization Applied in the Community Land Model, Journal of Hydrology, Volumes 420–421, Pages 72-86

 

 2011

      1. Anagnostou, M. N., J. A. Nystuen, E. N. Anagnostou, A. Papadopoulos, and V. Lykousis, 2011: Passive aquatic listener (PAL): an adoptive underwater acoustic recording system for the marine environment, J. NIMA, doi: 10.1016/j.nima.2010.04.140
      2. Borga, M., E.N. Anagnostou, G. Blöschl, J-D. Creutin, 2011: Flash flood forecasting, warning and risk management: the HYDRATE project, Environmental Science & Policy, Volume 14, Issue 7, November 2011, Pages 834-844
      3. Gourley, J.J., Y. Hong, Z.L. Flamig, J. Wang, H. Vergara, and E.N. Anagnostou, 2011: Hydrologic evaluation of rainfall estimates from radar, satellite, gauge, and combinations on Ft. Cobb basin, Oklahoma, Journal of Hydrometeorology, Volume 12, Issue 5, pp. 973-988
      4. Maggioni, V., R. Reichle, E.N. Anagnostou, 2011: The effect of satellite-rainfall error modeling on soil moisture prediction uncertainty, J. of Hydrometeorology, Volume 12, Issue 3, pp. 413-428.
      5. Nikolopoulos, E.I., E.N. Anagnostou, M. Borga, E. Vivoni, A. Papadopoulos, 2011: Sensitivity of a Mountain Basin Flash Flood to Initial Wetness Condition and Rainfall Variability, Journal of Hydrology, Volume 402, Issues 3–4, 25 May 2011, Pages 165–178.
      6. Tsabaris, C. M. N. Anagnostou, D.L. Patiris, J. A. Nystuena, G. Eleftheriou, Th. Dakladas, V. Papadopoulos, A. Prospathopoulos, A. Papadopoulos and E. N. Anagnostou, 2011: A marine groundwater spring in Stoupa, Greece: Shallow water instrumentation comparing radon and ambient sound with discharge rate, Procedia Earth and Planetary Science, Volume 4, 2011, Pages 3-9

 

2010

      1. Anagnostou, E.N., V. Maggioni, E. Nikolopoulos, T. Taye, F. Hossain, 2010: Benchmarking High-resolution Global Satellite Rain Products to Radar and Rain gauge Rainfall Estimates, IEEE Transactions on Geosciences and Remote Sensing, Vol. 48, No 4, pp. 1667-1683
      2. Anagnostou, M. N., J. Kalogiros, E. N.  Anagnostou, M. Tarolli, A., Papadopoulos, M. Borga, 2010: Performance Evaluation of High–Resolution Rainfall Estimation by X–band Dual–Polarization Radar for Flash–Flood Applications in Mountainous Basins, Journal of Hydrology-Special Issue on Flash Floods, Volume 394, Issues 1-2, Pages 4-16.
      3. Anagnostou, M. N., J.A. Nystuen, E.N. Anagnostou, A. Papadopoulos, and V. Lykousis, 2010: Passive aquatic listener: A state-of-art system employed in atmospheric, oceanic and biological sciences in the marine environment, Nuclear Instruments and Methods in Physics Research, Elsevier, doi:10.1016/j.nima.2010.04.140
      4. Anagnostou, M., J. Kalogiros, E.N. Anagnostou, A. Papadopoulos, 2009: Experimental results on rainfall estimation in complex terrain with a mobile X-band polarimetric weather radar, Atmospheric Research, Volume 94, Issue 4, December 2009, Pages 579-595
      5. Borga, M., E.N. Anagnostou, G. Blöschl, J.-D. Creutin, 2010: Flash floods: Observations and analysis of hydro-meteorological controls, Journal of Hydrology-Special Issue on Flash Floods, Volume 394, Issues 1-2, Pages 1-3.
      6. Gebremichael, M., E.N. Anagnostou, M. Bitew, 2010: Critical steps for continuing advancement of satellite rainfall applications for surface hydrology in the Nile River Basin, Journal of American Water Resources Association, Vol. 46, No. 2, pp. 361-366.
      7. Nikolopoulos, E.I., E.N. Anagnostou, F. Hossain, M. Borga, and M. Gebremichael, 2010: Understanding the Scale Relationships of Uncertainty Propagation of Satellite Rainfall through a Distributed Hydrological Model, Journal of Hydrometeorology, Volume 11, Issue 2, pp. 520-532
      8. Serpetzoglou E., E. N. Anagnostou, A. Papadopoulos, E. I. Nikolopoulos*, and V. Maggioni*, 2010: Error Propagation of Remote Sensing Rainfall Estimates in Soil Moisture Prediction from Land Surface Model, Journal of Hydrometeorology, doi: 10.1175/2009JHM1166.1
      9. Tadesse, A., E.N., Anagnostou, 2010 (in press): Characterization of Convective Systems in Africa in terms of their Vertical Structure, Electrification and Dynamics, Atmospheric Research

 

 2009

      1. Anagnostou M.N., J.A. Nystuen, E.N. Anagnostou, E.I. Nikolopoulos*, E. Amitai, 2008: Evaluation of Underwater Rainfall Measurements during the Ionian Sea Rainfall Experiment. IEEE Transactions on Geosciences and Remote Sensing, Vol. 46, pp 2936-2946.
      2. Anagnostou M.N., E.N. Anagnostou, G. Vulpiani, M. Montopoli, F.S. Marzano, and J. Vivekanandan, 2008: Evaluation of X-band polarimetric radar estimates of drop size distributions from coincident S-band polarimetric estimates and measured raindrop spectra. IEEE Transactions on Geosciences and Remote Sensing, Vol. 46, pp 3067-3075.
      3. Bagtzoglou, A.C., J.M. Niedzialek, S.A. Baun, E.N. Anagnostou, and F.L. Ogden, 2009: A Physically-Based Radar Calibration Method for Improved Rainfall Estimation: Application to the Fort-Collins Flash Flood of 1997. Inverse Problems in Science and Engineering, Vol. 17, 115-131.
      4. Michaelides, S., V. Levizzani, E. N. Anagnostou, P. Bauer, T. Kasparis, J.E. Lane, 2009: Precipitation: measurement, remote sensing, climatology and modeling, Atmospheric Research (review paper), Volume 94, Issue 4, December 2009, Pages 512-533
      5. Montopoli M., F. S. Marzano, G. Vulpiani, M. N. Anagnostou*, E. N. Anagnostou, 2008: Statistical characterization and modeling of raindrop spectra time series for different climatological regions. IEEE Transactions on Geosciences and Remote Sensing, Vol. 46, pp 2778 – 2787.
      6. Papadopoulos A., E. Serpetzoglou and E.N. Anagnostou, 2009: Evaluating the impact of lightning data assimilation on mesoscale model simulations of a flash flood inducing storm, Atmospheric Research, Volume 94, Issue 4, December 2009, Pages 715-725
      7. Papadopoulos, A., E. Serpetzoglou, E.N. Anagnostou, 2008: Improving NWP through Radar Rainfall-Driven Land Surface Parameters: A Case Study on Convective Precipitation Forecasting, Advances in Water Resources, 31, 1456-1469
      8. Tadesse, A., E.N. Anagnostou, 2009: Characterization of Warm Season Convective Systems in the US in Terms of their Electrification and Dynamics of Clouds and Precipitation, Atmospheric Research, Vol. 91, 36–46.
      9. Tadesse, A., E.N. Anagnostou, 2009: The Effect of Storm Life Cycle on Satellite Rainfall Estimation Error, Journal of Atmospheric and Oceanic Technology, Volume 26, Issue 4, 769–777
      10. Wang D., G. Wang, and E.N. Anagnostou, 2009: The impact of sub-grid variability of precipitation and canopy water storage on hydrological processes in coupled land-atmosphere model, Climate Dynamics, Vol. 32, no. 5, pp. 649-662.

 

2008

      1. Anagnostou, M.N., E.N. Anagnostou, J. Vivekanandan and F. Ogden, 2008: Comparison of Two Raindrop Size Distribution Retrieval Algorithms for X-Band Dual Polarization Observations, J. of Hydrometeorology, Vol 9, No. 3, pp. 589–600.
      2. Dinku T. and E.N. Anagnostou, 2008: Investigating Seasonal PR-TMI Calibration differences, Journal of Atmospheric and Oceanic Technology, Vol. 25, pp. 1228-1237.
      3. Knox, R. and E.N. Anagnostou, 2009: Scale Interactions in Radar Rainfall Estimation Uncertainty, ASCE-Journal of Hydrologic Engineering, 14, 944-954.
      4. Nystuen J.A., E. Amitai, E.N. Anagnostou and M.N. Anagnostou*, 2008: Spatial averaging of oceanic rainfall variability using underwater sound: Ionian Sea Rainfall Experiment 2004.  The Journal of the Acoustical Society of America, Vol 123, Issue 4, pp. 1952-1962.
      5. Wang, D., E.N. Anagnostou, D. Wang, 2008: Effects of sub-grid variability of precipitation and canopy water storage on climate model simulations of water cycle in Europe, Advances in Geosciences (ADGEO), Vol 17, 1-5.

 

 2007

      1. Amitai E., J.A. Nystuen, E.N. Anagnostou, and M.N. Anagnostou*, 2007: Comparison of underwater measurements and radar observations of rainfall. Geosciences and Remote Sensing Letters (GRSL), Vol. 4, No. 3, pp 1-5.
      2. Anagnostou, M.N., E.N. Anagnostou, J. Vivekanandan and F. Ogden, 2007: Comparison of Raindrop Size Distribution Estimates from X-band and S-band Polarimetric Observations, IEEE Geosciences and Remote Sensing Letters, Vol 4, pp. 1–5.
      3. Chronis, T.G., E. Williams, Anagnostou E.N., and W. Petersen, 2007: African Lightning: Indicator of Tropical Atlantic Cyclone Formation, Eos Transactions Feature Article, American Geophysical Union, Vol 88 (40), pp. 397-398.
      4. Chronis, T.G., E. Williams, and E.N. Anagnostou, 2007: Evidence of Tropical Forcing of the 6.5 Day Wave from Lightning Observations over Africa.  Journal of Atmospheric Sciences, Vol 64, Issue 10, pp. 3717–3721.
      5. Morales, C.A., E.N. Anagnostou, E. Williams, and S.J. Kriz, 2007: Evaluation of peak current polarity retrieved by the Zeus long-range lightning monitoring system. IEEE Geosciences and Remote Sensing Letters (GRSL), 4(1), 32-36.
      6. Nystuen, J.A., E. Amitai, E.N. Anagnostou, and M.N. Anagnostou*, 2007: The Ionia Sea Rainfall Experiment. The Journal of the Acoustical Society of America, Vol 119, Issue 5, pp. 3226-27.
      7. Wang D., G. Wang, and E.N. Anagnostou, 2007: Evaluation of Canopy Interception Schemes in Land Surface Models. Journal of Hydrology, Vol 347, pp. 308-318.

 

2006

      1. Anagnostou, M.N., E.N. Anagnostou, and J. Vivekanandan, 2006: Correction for Rain-Path Specific and Differential Attenuation of X-band Dual-Polarization Observations, IEEE Transaction of Geosciences and Remote Sensing, Vol 44, No 9, 2470-2480.
      2. Chronis, T.G. and E.N. Anagnostou, 2006: Evaluation of a Long-Range Lightning Detection Network with Receivers in Europe and Africa, IEEE Transaction of Geosciences and Remote Sensing, Vol 44 (No 6), 1504-1510.
      3. Dinku, T., and E.N. Anagnostou, 2006: TRMM Calibration of SSM/I Algorithm for Overland Rainfall Estimation, Journal of Applied Meteorology and Climatology, Vol. 45, No. 6, pp. 875–886.
      4. Hossain, F., and E.N. Anagnostou, 2006: Assessment of a multidimensional satellite rainfall error model for ensemble generation of satellite rainfall data. Geosciences and Remote Sensing Letters (GRSL). 3 (3): 419-423.
      5. Hossain, F., and E.N. Anagnostou, 2006: A Two-Dimensional Satellite Rainfall Error Model, IEEE Trans. in Geosciences and Remote Sensing, Vol 44 (No 6), 1511-1522.
      6. Hossain, F., and E.N. Anagnostou, 2006: Using a Multi-dimensional Satellite Rainfall Error Model to Characterize Uncertainty in Soil Moisture Fields Simulated by an Offline Land Surface Model, Geophysical Research Letters (GRL), 32 (15), pp. 1-4.
      7. Hossain, F., E.N. Anagnostou, and A.C. Bagtzoglou, 2006: On Latin Hypercube Sampling for Efficient Uncertainty Estimation of Satellite Rainfall Observations in Flood Prediction, Computers and Geosciences, 32(6), 732-748.
      8. Wang, D., E.N. Anagnostou, and G. Wang, 2006: The effect of sub-grid rainfall variability on the water balance and flux exchange processes resolved at climate scale: The European region contrasted to Central Africa and Amazon rainforests. Advances in Geosciences, 7, 269-274.
      9. Williams, E., R. Boldi, J. Bor, G. Satori, C. Price, E. Greenburg, Y. Takahashi, K. Yamamoto, T. Chronis*, E.N. Anagnostou, D. Smith, L. Lopez, 2006: Lightning Flashes Conducive to the Production and Escape of Gamma Radiation to Space, Journal of Geophysical Research-Atmospheres, 111, D16209.

 

2005

      1. Anagnostou, E.N., 2005: Overview of Overland Satellite Rainfall Estimation for Hydro-Meteorological Applications (invited paper), Surveys in Geophysics, Vol. 25, No 3.
      2. Anagnostou, E.N., M. Grecu, and M.N. Anagnostou, 2005: X-band Polarimetric Radar Rainfall Measurements in Keys Area Microphysics Project,” Journal of Atmospheric Sciences, vol. 63, pp. 187-203.
      3. Dinku T., and E.N. Anagnostou, 2005: Regional Differences in Overland Rainfall Estimation from PR-Calibrated TMI Algorithm, Journal of Applied Meteorology, Vol. 44, No. 2, pp. 189–205.
      4. Hossain, F. and E.N. Anagnostou, 2005: Assessment of a probabilistic scheme for flood prediction, J. of Hydrologic Engineering-ASCE, Vol 10, Issue 2, 141-150.
      5. Hossain, F., and E.N. Anagnostou, 2005: Numerical Investigation of the Impact of Uncertainties in Satellite Rainfall and Land Surface Parameters on Simulation of Soil Moisture, Advances in Water Resources, 28 (12), Pages 1336-1350.
      6. Papadopoulos, A., T.G. Chronis and E. N. Anagnostou, 2005: Using lightning to predict storm precipitation, Bulletin of the American Meteorological Society 86 (8), pp. 1057-1059.
      7. Papadopoulos, A., T.G. Chronis and E. N. Anagnostou, 2005: Improving Convective Precipitation Forecasting Through Assimilation of Regional Lightning Measurements in a Mesoscale Model, Monthly Weather Review, Vol. 133, 1961–1977.
      8. Tadesse, A. and E.N. Anagnostou, 2005: A Statistical Approach to Ground Radar Rainfall Estimation, Journal of Atmospheric and Oceanic Technology, Vol. 22, No. 11, pp 1720-1732.
      9. Wang, D., G. Wang and E.N. Anagnostou, 2005: Use of satellite-based precipitation observation in improving the parameterization of canopy hydrological processes in land surface models, Journal of Hydrometeorology, Vol. 6, No. 5, pp 745-763.

 

2004

      1. Anagnostou, E.N., 2004: A convective/stratiform precipitation classification algorithm for volume scanning weather radar observations. Meteorological Applications, Vol 11, Issue 04, 291-300.
      2. Anagnostou, E.N., M.A. Anagnostou, W.F. Krajewski, A. Kruger, and B. Miriovsky, 2004: High-Resolution Rainfall Estimation from X-Band Polarimetric Radar Measurements,” Journal of Hydrometeorology, Vol. 5, No. 1, 110-128, 2004.
      3. Chronis, T. E.N., Anagnostou, and T. Dinku, 2004: High-frequency Estimation of Thunderstorms via Satellite Infrared and a Long-Range Lightning Network in Europe, Quarterly Journal of the Royal Meteorological Society, Vol. 130 APRIL 2004 Part B No. 599, 1555-1575.
      4. Grecu M., and E.N. Anagnostou, 2004: A Differential Attenuation Based Algorithm for Estimating Precipitation from Dual-Wavelength Space-borne Radar, Canadian Journal of Remote Sensing, Vol. 30, No 5, 697-705.
      5. Grecu, M., W. Olson, and E.N. Anagnostou, 2004: Retrieval of precipitation profiles from multiresolution, multifrequency, active and passive microwave observations, Journal of Applied Meteorology, Vol. 43, No. 4, pp. 562–575.
      6. Hossain, F. and E.N. Anagnostou, 2004: Assessment of a stochastic parameter sampling scheme for efficient uncertainty analyses of hydrologic models, Computers and Geosciences, vol. 31(4), pp -497-512, doi:10.1016/j.cageo.2004.11.001).
      7. Hossain, F. and E.N. Anagnostou, 2004: Assessment of current Passive Microwave and Infrared based satellite rainfall remote sensing for flood prediction, Journal of Geophysical Research-Atmosphere, 109, D07102, doi:10.1029/2003JD003986.
      8. Hossain, F., E.N. Anagnostou, and T. Dinku, 2004: Sensitivity Analyses of Satellite Rainfall Retrieval and Sampling Error on Flood Prediction Uncertainty, IEEE Trans. Geosciences and Remote Sensing, Vol 42 (1).
      9. Hossain, F., E.N. Anagnostou, T. Dinku and M. Borga, 2004: Hydrological model sensitivity to parameter and radar rainfall estimation uncertainty, Hydrological Processes 18(17), pp. 3277-3299; (DOI:10.1002/hyp.5659).
      10. Hossain, F. E.N. Anagnostou, and K.H. Lee, 2004: A non-linear and Stochastic Response Surface Method for Bayesian Estimation of Uncertainty in Soil Moisture Simulation from a Land Surface Model. Non-Linear Processes in Geophysics, Vol. 11, pp. 1-15 (SREF-ID: 1607-7946/npg/2004-11-1).
      11. Lee K.H. and E.N. Anagnostou, E.N., 2004: Investigation of the nonlinear hydrologic response to precipitation forcing in physically based land surface modeling, Canadian Journal of Remote Sensing, Vol. 30, No. 5, 706-716.
      12. Lee, K.H, and E.N. Anagnostou, 2004: A Combined Passive/Active Microwave Remote Sensing Approach to Surface Variable Retrieval Using Tropical Rainfall Measuring Mission (TRMM) Observations, Remote Sensing of Environment, 92, 112-125.

 

 2003

      1. Chronis, T. G., and E. N. Anagnostou, 2003: Error analysis for a long-range lightning monitoring network of ground-based receivers in Europe, Journal of Geophysical Research-Atmospheres, 108(D24), 4779, doi:10.1029/2003JD003776.
      2. Hossain, F., N. Agarwal, T. Dinku, and E.N. Anagnostou, 2003: Assessment of Neural Network Schemes for Classification of Cloud Data. Journal of Environmental Systems. Vol. 29(2), pp. 151-173.
      3. Morales, C., and E.N. Anagnostou, 2003: Extending the Capabilities of High-frequency Rainfall Estimation from Geostationary-Based Satellite Infrared via a Network of Long-Range Lightning Observations. Journal of Hydrometeorology, 4(2), 141-159.

 

2002

      1. Anagnostou, E.N., T. Chronis*, and D.P. Lalas, 2002: New Receiver Network Advances Long-Range Lightning Monitoring.” EOS Feature Article, AGU, 83(50), 589, 594-595.
      2. Anagnostou, E.N., and C. Morales*, 2002: Rainfall Estimation from TOGA Radar Observations during LBA Field Campaign, Journal of Geophysical Research-Atmospheres, 107(D18).
      3. Dinku, T., E.N. Anagnostou, and M. Borga, 2002: Improving Radar-Based Estimation of Rainfall Over Complex Terrain, Journal of Applied Meteorology, 41(12), 1163–1178.
      4. Grecu, M., and E.N. Anagnostou, 2002: Overland Precipitation Estimation from TRMM Passive Microwave Observations, Journal of Applied Meteorology, 40 (8), 1367-80.
      5. Grecu, M., and E.N. Anagnostou, 2002: Use of passive microwave observations in a radar rainfall profiling algorithm. Journal of Applied Meteorology, 41 (7): 702-715.

 

 2001

      1. Anagnostou, E.N., C. Morales*, and T. Dinku*, 2001: The Use of TRMM Precipitation Radar Observations in Determining Ground Radar Calibration Biases,” Journal of Atmospheric and Oceanic Technology, 18, 616-628.

 

2000

      1. Anagnostou, E.N., and C.A. Morales*, 2000: TRMM Precipitation Radar Helps Address Problems of Ground Weather Radar Systems, EOS Feature Article, American Geophysical Union, 81(44), pp513 & 517.
      2. Borga, M., E.N. Anagnostou, and E. Frank, 2000: On the use of real-time radar rainfall estimates for flood prediction in mountainous basins, Journal of Geophysical Research-Atmospheres, 105(D2), 2269-2280.
      3. Grecu, M., E.N. Anagnostou, and R.F. Adler, 2000: Assessment of the Use of Lightning Information in Satellite Infrared Rainfall Estimation, Journal of Hydrometeorology, 1, 211-221.
      4. Negri, A., E.N. Anagnostou, and R. Adler, 2000: A 10-year Climatology of Amazonian Rainfall Derived from Passive Microwave Satellite Observations, Journal of Applied Meteorology, 39(1), 42-56.

 

1999

      1. Anagnostou, E.N., and W.F. Krajewski, 1999: Real-Time Radar Rainfall Estimation: 1. Algorithm Formulation, Journal of Atmospheric and Oceanic Technology, 16(2), 189-197.
      2. Anagnostou, E.N., and W.F. Krajewski, 1999: Real-Time Radar Rainfall Estimation: 2. Case Study, Journal of Atmospheric and Oceanic Technology, 16(2), 198-205.
      3. Anagnostou, E.N., W.F. Krajewski, and J. Smith, 1999: Uncertainty Quantification of Mean-Field Radar-Rainfall Estimates, Journal of Atmospheric and Oceanic Technology, 16(2), 206-215.
      4. Anagnostou, E.N., A. Negri, and R. Adler, 1999: Statistical Adjustment of Satellite Microwave Monthly Rainfall Estimates, Journal of Applied Meteorology, 38, 1590-1598.
      5. Anagnostou, E.N., A. Negri, and R. Adler, 1999: A satellite infrared technique for diurnal rainfall variability studies, Journal of Geophysical Research-Atmospheres, 104(D24), 31477-31488.

 

1998

      1. Anagnostou, E.N., and W.F. Krajewski, 1998: Calibration of the WSR-88D Precipitation Processing Subsystem, Weather and Forecasting, 13, 396-406.
      2. Anagnostou, E.N., W.F. Krajewski, D.-J. Seo, and E.R. Johnson, 1998: Mean-Field Radar Rainfall Bias Studies for WSR-88D, ASCE Journal of Hydrologic Engineering, 3, 149-159.

 

1997

      1. Anagnostou E.N., and W.F. Krajewski, 1997: Simulation of Radar Reflectivity Fields: Algorithm Formulation and Evaluation, Water Resources Research, 33(6), 1419-28.
      2. Anagnostou E.N., and C. Kummerow, 1997: “Stratiform and Convective Classification of Rainfall Using Satellite 85 Ghz Brightness Temperature Observations, Journal of Atmospheric and Oceanic Technology, 14(3), 570-75.
      3. Borga, M., E.N. Anagnostou, and W.F. Krajewski, 1997: A Simulation Approach for Validation of a Bright Band Correction Method, Journal of Applied Meteorology, 36, 1507-18.
      4. Ciach, G.J., W.F. Krajewski, E.N. Anagnostou, M.L. Baeck, J.A. Smith, J.R. McCollum, and A. Kruger, 1997: Radar Rainfall Estimation for Ground Validation Studies of the Tropical Rainfall Measuring Mission, Journal of Applied Meteorology, 36(6), 735-747.
      5. Tsintikidis, D., J.L. Haferman, E.N. Anagnostou, W.F. Krajewski, and T.F. Smith, 1997: A Neural Network Approach to Estimating Rainfall from Spaceborne Microwave Data, IEEE Transactions in Geosciences and Remote Sensing, 35(5).

 

1996

      1. Haferman, J.L., E.N. Anagnostou, D. Tsintikidis, W.F. Krajewski, and T.F. Smith, 1996: Physically Based Satellite Retrieval of Precipitation using a 3D Radiative Transfer Model, Journal of Atmospheric and Oceanic Technology, 13(4).
      2. Krajewski, W.F., E.N. Anagnostou, and G.J. Ciach, 1996: Effects of the Radar Observation Process on Inferred Rainfall Statistics, Journal of Geophysical Research-Atmospheres, 101(D21).

 

1992

      1. Mimikou, M.A., P.S. Hatjisava, Y.S. Kouvopoulos, and E.N. Anagnostou, 1992: The influence of basin aridity on the efficiency of runoff predicting models, Nordic Hydrology, 23 (2), pp. 105-120.

Published in book chapters

2017

      1. M.N. Anagnostou, J. Kalogiros, E. Nikolopoulos, Y. Derin, E.N. Anagnostou and M. Borga, (2017) “Satellite Rainfall Error Analysis with the Use of High-Resolution X-Band Dual-Polarization Radar Observations Over the Italian Alps”, Perspectives on Atmospheric Sciences, Springer Atmospheric Sciences. DOI 10.1007/978-3-319-35095-0_39
      2. Mei, Y., E.I. Nikolopoulos, E.N. Anagnostou (2017). Satellite-based precipitation for modeling floods: current status and limitations. Remote sensing of hydro-meteorological hazards. Taylor & Francis, ISBN 1498777589.
      3. Marra, F., E.I. Nikolopoulos, J.D. Creutin, M. Borga (2017) Radar-rainfall estimates for debris flows forecasting based on Intensity-Duration thresholds. Remote sensing of hydro-meteorological hazards. Taylor & Francis, ISBN 1498777589.
      4. Destro, E, E.I. Nikolopoulos, J.D. Creutin and M. Borga (2017), Floods. Environmental Hazards Methodologies for Risk Assessment and Management, IWA, eISBN 978178040713.

2016

      1. Xinyi Shen, Yang Hong, Emmanouil N. Anagnostou, Ke Zhang, and Zengchao Hao, (2016) “An Advanced Distributed Hydrologic Framework-The Development of CREST”, Hydrologic Remote Sensing and Capacity Building, Chapter 7, Editors, Yang Hong, Yu Zhang and Sadiq Ibrahim Khan, CRC Press, pp.127-138,ISBN13:9781780408101.

 

2010

      1. Anagnostou, E.N., 2010: Remote Sensing for Precipitation and Hydrologic Applications, Book Chapter in: Advances in Data-based Approaches for Hydrologic Modeling and Forecasting, (eds) B. Sivakumar and R. Berndtsson, World Scientific, ISBN: 978-981-4307-97-0, pp. 245-266
      2. Anagnostou, E.N., E.I., Nikolopoulos*, F. Hossain, 2010: Regional Evaluation through Hydrological Application: Europe, Book Chapter in: Satellite Rainfall Applications for Surface Hydrology, (eds) M. Gebremichael and F. Hossain, Springer-Verlag, ISBN: 978-90-481-2914-0, pp. 215-226
      3. Hossain, F. L. Tang E.I. Nikolopoulos*, E.N. Anagnostou, 2010: A Practical Guide to a Space-Time Stochastic Error Model for Simulation of High Resolution Satellite Rainfall Data, Book Chapter in: Satellite Rainfall Applications for Surface Hydrology, (eds) M. Gebremichael and F. Hossain, Springer-Verlag, ISBN: 978-90-481-2914-0, pp. 145-166

 

2008

      1. Anagnostou E.N. and M.N. Anagnostou*, 2008: Performance of algorithms for rainfall retrieval from polarimetric X-band radar measurements, Book Chapter in Precipitation: Advances in measurement, estimation and prediction, (ed) S. Michaelides. Springer Academic Publishers, 313-337.
      2. Grecu* M. and E.N. Anagnostou, 2008: Precipitation dynamic and microphysical retrievals from satellite active and passive observations. Book Chapter in Precipitation: Advances in measurement, estimation and prediction, (ed) S. Michaelides. Springer Academic Publishers, 219-228.

 

2007

      1. Anagnostou, E.N., and T.G. Chronis*, 2007: The worth of long-range lightning observations on overland satellite rainfall estimation, Book Chapter in Measuring Precipitation from Space: EURAINSAT and the Future, (eds) V. Levizzani, P. Bauer and F.J. Turk. Kluwer Academic Publishers, 135 – 149.
      2. Anagnostou, E.N., 2007: Assessment of satellite rain retrieval error propagation in the prediction of land surface hydrologic variables, Book Chapter in Measuring Precipitation from Space: EURAINSAT and the Future, (eds) V. Levizzani, P. Bauer and F.J. Turk. Kluwer Academic Publishers, 357-369