Journal Papers

  • Weiss T, Routtenberg T, Ostrometzky J, MESSER H. Intensity Estimation After Detection for Accumulated Rainfall Estimation. Frontiers in Signal Processing.;. 2024 [ Link ].
  • C. Han, G. Zhang, B. Ji, J. Huo, and H. Messer, On the Potential of Using Emerging Microwave Links for City Rainfall Monitoring, in IEEE Communications Magazine, vol. 61, no. 11, pp. 174-180, November 2023 [ Link ].
  • X Zheng, H. Messer, Y Qin, Y Song, W Zhang, T Yang: A Statistical Approach to Retrieve Rainfall Intensity by Attenuation Measurements From Commercial Microwave Links. AGU Advancing Earth and Space Science Vol 11 2023, [ Link ].
  • R Yanco, J Ostrometzky, H Messer: In-City Rain Mapping from Commercial Microwave Links- Challenges and Opportunities. MDPI, Sensors Vol 23 2023, [ Link ].
  • Habi H.V, H Messer, Y Bresler: Learning to Bound: A Generative Cramer Rao Bound. IEEE Transaction on Signal Processing, Vol 71, 2023 [Link ].
  • I Kadota, D Jacoby, H Messer, G Zussman, J Ostrometzky. Switching in the Rain: Predictive Wireless x-haul Network Reconfiguration. Proceedings of the ACM on Measurement and Analysis of Computing Systems , 2022 [Link].
  • J Ostrometzky, G Rafalovich, B Kagan, H Messer. Stand-Alone, Affordable IoT Sattelite Terminals and Their Opportunistic Use for Rain Monitoring. IEEE Internet of Things Magazine , 2022 [Link].
  • X Zheng, H Messer, Q Wang, T Xu, Y Qin, T Yang. On the potential of commercial microwave link networks for high spatial resolution rainfall monitoring in urban areas. Atmospheric Research,106289 , 2022 [Link].
  • MESSER H., Eshel A., Habi H.V., Sagiv S. and Zheng X. Rain field retrieval by ground-level sensors of various types. Frontiers in Signal Processing, 2022 [Link].
  • Ben Moshe D, Messer H, Nathan R, Sapir N (2022). Empirical Study on the Effect of Birds on Commercial Microwave Links. IEEE Access [Link].
  • Eshel, A., Alpert, P., & Messer., H (2022). Estimating the Parameters of the Spatial Autocorrelation of Rainfall Fields by Measurements from Commercial Microwave Links. IEEE Transactions on Geoscience and Remote Sensing (accepted)
  • Weiss, T., Routtenberg, T., & Messer, H. (2021). Total Performance Evaluation of Intensity Estimation after Detection. Signal Processing, 108042 [Link]
  • Eshel, A., Messer, H., Kunstmann, H., Alpert, P., Chwala, C. (2021). Quantitative Analysis of the Performance of Spatial Interpolation Methods for Rainfall Estimation Using Commercial Microwave Links. Journal of Hydrometeorology, 22(4), 831-834. [Link][PDF]
  • Habi, H. V., Messer, H. (2020). Recurrent Neural Network for Rain Estimation Using Commercial Microwave Links. IEEE Transactions on Geoscience and Remote Sensing [Link]
  • Eshel, A., Ostrometzky, J., Gat, S., Alpert, P., & Messer, H. (2020). Spatial Reconstruction of Rain Fields From Wireless Telecommunication Networks—Scenario-Dependent Analysis of IDW-Based Algorithms. IEEE Geoscience and Remote Sensing Letters, 17(5), 770-774. [Link]
  • Ostrometzky, J., & Messer, H. (2020). On the information in extreme measurements for parameter estimation. Journal of the Franklin Institute, 357(1), 748-771. [Link]
  • David, N., Sendik, O., Rubin, Y., Messer, H., Gao, H. O., Rostkier-Edelstein, D., & Alpert, P. (2019). Analyzing the ability to reconstruct the moisture field using commercial microwave network data. Atmospheric Research, 219, 213-222. [Link]
  • Alpert, P., & Rubin, Y. (2018). First daily mapping of surface moisture from cellular network data and comparison with both observations/ECMWF product. Geophysical Research Letters, 45(16), 8619-8628. [Link]
  • Raich, R., Alpert, P., & Messer, H. (2018). Vertical precipitation estimation using microwave links in conjunction with weather radar. Environments, 5(7), 74. [Link]
  • Messer, H. (2018). Capitalizing on cellular technology—Opportunities and challenges for near ground weather monitoring. Environments, 5(7), 73. [Link]
  • Gazit, L., & Messer, H. (2018). Advancements in the statistical study, modeling, and simulation of microwave-links in cellular backhaul networks. Environments, 5(7), 75. [Link]
  •  Gazit, L., & Messer, H. (2018). Advancements in the statistical study, modeling, and simulation of microwave-links in cellular backhaul networks. Environments, 5(7), 75. [Link]
  • Ostrometzky, J., & Eshel, A. (2018). Empirical study of the quantization induced bias in commercial microwave links’ min/max attenuation measurements for rain monitoring. Environments, 5(7), 80. [Link]
  • Gazit, L., & Messer, H. (2018). Sufficient conditions for reconstructing 2-D rainfall maps. IEEE Transactions on Geoscience and Remote Sensing, 56(11), 6334-6343. [Link]
  • Ostrometzky, J., Raich, R., Bao, L., Hansryd, J., & Messer, H. (2017). The wet-antenna effect—A factor to be considered in future communication networks. IEEE Transactions on Antennas and Propagation, 66(1), 315-322. [Link]
  • David, N., & Gao, H. O. (2018). Using Cell-Phone Tower Signals for Detecting the Precursors of Fog. Journal of Geophysical Research: Atmospheres, 123(2), 1325-1338. [Link]
  • Ostrometzky, J., & Messer, H. (2017). Dynamic determination of the baseline level in microwave links for rain monitoring from minimum attenuation values. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(1), 24-33. [Link]
  • Alpert, P., Messer, H., & David, N. (2016). Mobile networks aid weather monitoring. Nature, 537(7622), 617-617. [Link]
  • David, N., & Gao, H. O. (2016). Using cellular communication networks to detect air pollution. Environmental science & technology, 50(17), 9442-9451. [Link]
  • Harel, O., David, N., Alpert, P., & Messer, H. (2015). The potential of microwave communication networks to detect dew—Experimental study. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(9), 4396-4404. [Link]
  • Gosset, M., Kunstmann, H., Zougmore, F., Cazenave, F., Leijnse, H., Uijlenhoet, R., Chwala, C., Keis, F., Doumounia, A., Boubacar, B. and Kacou, M., (2016). Improving rainfall measurement in gauge poor regions thanks to mobile telecommunication networks. Bulletin of the American Meteorological Society, 97(3), pp.ES49-ES51. [Link]
  • Messer, H., & Sendik, O. (2015). A new approach to precipitation monitoring: A critical survey of existing technologies and challenges. IEEE signal processing magazine, 32(3), 110-122. [Link]
  • Ostrometzky, J., Cherkassky, D., & Messer, H. (2015). Accumulated mixed precipitation estimation using measurements from multiple microwave links. Advances in Meteorology, 2015, Chicago. [Link]
  • David, N., Sendik, O., Messer, H., & Alpert, P. (2015). Cellular network infrastructure: The future of fog monitoring?. Bulletin of the American Meteorological Society, 96(10), 1687-1698. [Link]
  • Liberman, Y., Samuels, R., Alpert, P., & Messer, H. (2014). New algorithm for integration between wireless microwave sensor network and radar for improved rainfall measurement and mapping. Atmospheric Measurement Techniques, 7(10), 3549. [Link]
  • Cherkassky, D., Ostrometzky, J., & Messer, H. (2013). Precipitation classification using measurements from commercial microwave links. IEEE Transactions on Geoscience and Remote Sensing, 52(5), 2350-2356, Chicago. [Link]
  • David, N., Alpert, P., & Messer, H. (2013). The potential of commercial microwave networks to monitor dense fog–feasibility study. Journal of geophysical research: atmospheres, 118(20), 11-750. [Link]
  • Harel, O., & Messer, H. (2013). Extension of the MFLRT to detect an unknown deterministic signal using multiple sensors, applied for precipitation detection. IEEE Signal Processing Letters, 20(10), 945-948. [Link]
  • Broyde, Y., Livschitz, M., & Messer, H. (2013). Adaptive statistical learning of cellular users behavior. Signal processing, 93(11), 3151-3158.[Link]
  • David, N., Alpert, P., & Messer, H. (2013). The potential of cellular network infrastructures for sudden rainfall monitoring in dry climate regions. Atmospheric research, 131, 13-21.[Link]
  • Rayitsfeld, A., Samuels, R., Zinevich, A., Hadar, U., & Alpert, P. (2012). Comparison of two methodologies for long term rainfall monitoring using a commercial microwave communication system. Atmospheric research, 104, 119-127.[Link]
  • Messer, H., Zinevich, A., & Alpert, P. (2012). Environmental sensor networks using existing wireless communication systems for rainfall and wind velocity measurements. IEEE Instrumentation & Measurement Magazine, 15(2), 32-38.  [Link]
  • David, N., Alpert, P., & Messer, H. (2011). Humidity measurements using commercial microwave links. In Advanced trends in wireless communications (pp. 65-78). InTech.[Link]
  •  Zinevich, A., Messer, H., & Alpert, P. (2010). Prediction of rainfall intensity measurement errors using commercial microwave communication links. Atmospheric Measurement Techniques, 3(5), 1385.[Link]
  • Zinevich, A., Messer, H., & Alpert, P. (2009). Frontal rainfall observation by a commercial microwave communication network. Journal of Applied Meteorology and Climatology, 48(7), 1317-1334.[Link]
  • David, N., Alpert, P., & Messer, H. (2009). Novel method for water vapour monitoring using wireless communication networks measurements. Atmospheric Chemistry & Physics, 9(7).[Link]
  • Goldshtein, O., Messer, H., & Zinevich, A. (2009). Rain rate estimation using measurements from commercial telecommunications links. IEEE Transactions on signal processing, 57(4), 1616-1625.[Link]
  • Zinevich, A., Alpert, P., & Messer, H. (2008). Estimation of rainfall fields using commercial microwave communication networks of variable density. Advances in water resources, 31(11), 1470-1480.[Link]
  • Messer, H. (2007). Rainfall monitoring using cellular networks [in the spotlight]. IEEE Signal Processing Magazine, 24(3), 144-142.[Link]
  • Messer, H., Zinevich, A., & Alpert, P. (2006). Environmental monitoring by wireless communication networks. Science, 312(5774), 713-713.[Link]

Newsletters and Other Publications

  • Messer, H., & Ostrometzky, J. (2023). Opportunistic ISAC for Weather in the IoT Era. IEEE ComSoc ISAC FOCUS newsletter, Issue 6, pp. 10-18.