In collaboration with Hebrew University of Jerusalem, a novel methodology (Marani and Ignaccolo, 2015) has been implemented for the estimation of rainfall extremes over the Contiguous United States. The proposed method unveils the way for robust estimation of rainfall extremes from short data records and remote sensing rainfall estimates (Marra et al. 2018). Estimating rainfall IDF (Intensity-Duration-Frequency) curves at ungauged locations has important implications for engineering design and risk assessment of water-related infrastructure.
Figure 1. (top) Location of gauges with long-term hourly records and (bottom) bias in the estimation of rainfall extremes for different data record length and estimation methods. Source: Marra et al. (2018)
 Marani, Marco, and Massimiliano Ignaccolo. “A metastatistical approach to rainfall extremes.” Advances in water resources79 (2015): 121-126.
 Marra, Francesco, Efthymios I. Nikolopoulos, Emmanouil N. Anagnostou, and Efrat Morin. “Metastatistical Extreme Value analysis of hourly rainfall from short records: Estimation of high quantiles and impact of measurement errors.” Advances in Water Resources 117 (2018): 27-39.