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Synergy between satellite observations of soil moisture and water storage anomalies for runoff estimation

, , , , , , , , and . Geoscientific model development, 15 (18): 6935-6956 (2022)
DOI: 10.5194/gmd-15-6935-2022

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A First Assessment of the SMOS Soil Moisture Product With In Situ and Modeled Data in Italy and Luxembourg., , , , , , and . IEEE Trans. Geoscience and Remote Sensing, 50 (5-1): 1612-1622 (2012)Rainfall-runoff modelling by using SM2RAIN-derived and state-of-the-art satellite rainfall products over Italy., , , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2016)How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products., , , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2018)Potential of NGGM MAGIC for global runoff estimation: the STREAM approach, , , , , and . (2023)Twenty-three unsolved problems in hydrology (UPH) : a community perspective, , , , , , , , , and 195 other author(s). Hydrological Sciences Journal, 64 (10): 1141-1158 (2019)Robust assessment of an operational algorithm for the retrieval of soil moisture from AMSR-E data in central Italy., , , , and . IGARSS, page 1288-1291. IEEE, (2015)Improving Landslide Forecasting Using ASCAT-Derived Soil Moisture Data: A Case Study of the Torgiovannetto Landslide in Central Italy., , , , , and . Remote Sensing, 4 (5): 1232-1244 (2012)Improving the temporal and spatial resolution of water level time series over Po River (Italy) obtained by satellite altimetry, , , , , , and . (2015)Assimilation of Surface- and Root-Zone ASCAT Soil Moisture Products Into Rainfall-Runoff Modeling., , , , , and . IEEE Trans. Geoscience and Remote Sensing, 50 (7): 2542-2555 (2012)An observation-based approach for global runoff estimation: exploiting satellite soil moisture and Grace, , , , , , , and . (2020)(EGU 2020, Vienna, 4-8 May).