Hellenic Center for Marine Research - Institute of Inland Waters

PreWec Marie Curie Excellence Research Team

 

 

 

 

 

 

 

 Prof Dr Emmanouil Anagnostou

 

Prof. Emmanouil Anagnostou is Team Leader of a Marie Curie Excellence Grant at the Hellenic Center for Marine Research-Institute of Inland Waters and Professor of Environmental Engineering at the University of Connecticut with research experience and expertise on remote sensing applications in hydro-meteorology and the prediction of natural hazards (floods, hurricanes, severe weather, lightning, etc.). In the past decade he has concentrated on advancing knowledge on precipitation estimation from space and ground based sensors, and the optimum assimilation of remote sensing data in atmospheric and hydrological models for the prediction of hazardous floods and flash floods.

 

He is recipient of several prestigious awards: 1999 NASA Earth Sciences Directorate New Investigator Award, 2002 NSF Geosciences Program CAREER Award, and 2003 Outstanding Junior Faculty Award by the School of Engineering of the Univ. of Connecticut. Special emphasis is put on two top-level European awards he received: the EGU Plinius medal, in 2002 for outstanding achievements in the field of Natural Hazards and important interdisciplinary activity involving remote sensing and hydro-meteorological research areas, and 2) the EC Marie Curie Excellence Award, in recognition to pioneering work on precipitation remote sensing and optimal assimilation in weather and hydrological models, as well as for his innovations in multi-sensor global rainfall measurement that expanded the boundaries of global water & energy cycle research.

He is PI of several research projects in Earth Sciences and Natural Hazards funded by NASA, the US NSF and the European Commission.

He is member of several international organizations, author or co-author of more than 80 journal papers and several book chapters in hydrological remote sensing, and weather/climate and hydro-meteorological applications.

Journal Peer-Reviewed Publications:

 

* Graduate student or post-doc

  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

  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

  3. 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

  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. 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.

  6. 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

  7. 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

  8. 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

  9. 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

  10. Nystuen, J.A., E. Amitai, E.N. Anagnostou, and M.N. Anagnostou*, 2007: The Ionia Sea Rainfall Experiment. The Journal of the Acoustical Society, Vol 119, Issue 5, pp. 3226-27

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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. (1 ind. Citation)

  16. 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.

  17. 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.

  18. 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.

  19. 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

  20. 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.

  21. Anagnostou, E.N., 2005: Overview of Overland Satellite Rainfall Estimation for Hydro-Meteorological Applications (invited paper), Surveys in Geophysics, Vol. 25, No 3.

  22. 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.

  23. 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.

  24. 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.

  25. 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.

  26. 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.

  27. 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.

  28. 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.

  29. 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.

  30. Anagnostou, E.N., 2004: A convective/stratiform precipitation classification algorithm for volume scanning weather radar observations. Meteorological Applications, Vol 11, Issue 04, 291-300.

  31. 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.

  32. 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.

  33. 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.

  34. 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.

  35. 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).

  36. 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.

  37. 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).

  38. 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).

  39. 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).

  40. 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.

  41. 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.

  42. 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.

  43. 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.

  44. 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.

  45. 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.

  46. 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.

  47. Anagnostou, E.N., and C. Morales*, 2002: Rainfall Estimation from TOGA Radar Observations during LBA Field Campaign, Journal of Geophysical Research-Atmospheres, 107(D18).

  48. Grecu*, M., and E.N. Anagnostou, 2002: Overland Precipitation Estimation from TRMM Passive Microwave Observations, Journal of Applied Meteorology, 40 (8), 1367-80.

  49. 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.

  50. 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.

  51. 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.

  52. 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.

  53. 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.

  54. 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.

  55. 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.

  56. 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.

  57. 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.

  58. Anagnostou, E.N., A. Negri, and R. Adler, 1999: Statistical Adjustment of Satellite Microwave Monthly Rainfall Estimates, Journal of Applied Meteorology, 38, 1590-1598.

  59. 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.

  60. Anagnostou, E.N., and W.F. Krajewski, 1998: Calibration of the WSR-88D Precipitation Processing Subsystem, Weather and Forecasting, 13, 396-406.

  61. 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.

  62. Anagnostou E.N., and W.F. Krajewski, 1997: Simulation of Radar Reflectivity Fields: Algorithm Formulation and Evaluation, Water Resources Research, 33(6), 1419-28.

  63. 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.

  64. 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.

  65. 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.

  66. 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).

  67. 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).

  68. 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).

  69. 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.


Papers Submitted for Publication:

* Graduate student or post-doc

  1. Bagtzoglou, A.C., J.M. Niedzialek, S.A. Baun, E.N. Anagnostou, and F.L. Ogden, 2008 (in press): 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.

  2. Dinku* T. and E.N. Anagnostou, 2008 (in press): Investigating Seasonal PR-TMI Calibration differences, Journal of Atmospheric and Oceanic Technology.

  3. Montopoli M., F. S. Marzano, G. Vulpiani, M. N. Anagnostou*, E. N. Anagnostou, 2008 (in press): Statistical characterization and modeling of raindrop spectra time series for different climatological regions. IEEE Transactions on Geosciences and Remote Sensing.

  4. Papadopoulos, A., E. Serpetzoglou*, E.N. Anagnostou, 2008 (in press): Improving NWP through Radar Rainfall-Driven Land Surface Parameters: A Case Study on Convective Precipitation Forecasting, Advances in Water Resources.

  5. Tadesse*, A., E.N. Anagnostou, 2008 (in press): Characterization of Warm Season Convective Systems in the US in Terms of their Electrification and Dynamics of Clouds and Precipitation, Atmospheric Research.

  6. Tadesse*, A., E.N. Anagnostou, 2008 (accepted): Characterization of Satellite Rainfall Retrieval Uncertainty in terms of Storm Characteristics and Dynamics, Journal of Atmospheric and Oceanic Technology.

  7. Wang* D., G. Wang, and E.N. Anagnostou, 2008 (accepted): The impact of sub-grid variability of precipitation and canopy water storage on hydrological processes in coupled land-atmosphere model, Journal of Climate.

  8. Wang*, D., E.N. Anagnostou, D. Wang, 2008 (in press): Effects of sub-grid variability of precipitation and canopy water storage on climate model simulations of water cycle in Europe, Advances in Geosciences (ADGEO).

  9. Knox*, R. and E.N. Anagnostou, 2008: Scale Interactions in Radar Rainfall Estimation Uncertainty, ASCE-Journal of Hydrologic Engineering

  1. Tadesse*, A., E.N., Anagnostou, 2008: Seasonal Variations of Mesoscale Convective System Characteristics in Continental US, Monthly Weather Review.

  2. Tadesse*, A., E.N., Anagnostou, 2008: Characterization of Convective Systems in Africa in terms of their Vertical Structure, Electrification and Dynamics, Quarterly Journal of the Royal Meteorological Society.


Book Chapters:

  1. 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

  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.


  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.


  1. 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.

 

 

 

 

Predicting Floods With Distributed Hydrological Models

 

Using Satellite Data to Study Water Cycle Parameters

 

Measuring Rainfall Using Mobile Weather Radar

 

Measuring Rainfall over the Oceans Using Underwater Sound Data

 

Numerical Weather Prediction Air- Sea interactions

 

Coastal Ecosystem and Water Quality

Climate Research

 

Soil Water - Climate interactions