January 2018
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Colmet-Daage et al. (2018) Evaluation of uncertainties in mean and extreme precipitation under climate change for northwestern Mediterranean watersheds from high-resolution Med and Euro-CORDEX ensembles
This study evaluates the uncertainties in mean and extreme precipitation projections for northwestern Mediterranean watersheds using high-resolution Med and Euro-CORDEX (EMCORDEX) ensembles. The core finding is that while mean precipitation is projected to decrease under the RCP8.5 scenario, extreme precipitation events (above the 90th quantile) are intensified across all studied catchments, particularly toward the end of the 21st century.
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Bhuiyan et al. (2018) A nonparametric statistical technique for combining global precipitation datasets: development and hydrological evaluation over the Iberian Peninsula
This study develops and evaluates a nonparametric statistical technique, Quantile Regression Forests (QRF), to optimally combine multiple global precipitation datasets (satellite and reanalysis) and characterize their uncertainty over the Iberian Peninsula. The QRF-generated ensemble significantly reduced systematic and random errors in precipitation estimates and led to substantial improvements in streamflow simulations when forcing a distributed hydrological model.
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Gao et al. (2018) Irrigation Mapping Using Sentinel-1 Time Series at Field Scale
This study proposes and validates a methodology using Sentinel-1 SAR time series metrics (VV and VH polarization) combined with machine learning (SVM, RF) to accurately map irrigated and non-irrigated agricultural fields, achieving an overall accuracy exceeding 81%.