Using Deep Learning to Identify Initial Error Sensitivity of ENSO Forecasts. - Toride, Kinya; Newman, Matthew; Hoell, Andrew; Capotondi, Antonietta; Schlör, Jakob; Amaya, Dillon (CoRR, 2024)

Toward High-Resolution Soil Moisture Monitoring by Combining Active-Passive Microwave and Optical Vegetation Remote Sensing Products with Land Surface Model. - Toride, Kinya; Sawada, Yohei; Aida, Kentaro; Koike, Toshio (Sensors, 2019)

Fusing Microwave and Optical Satellite Observations to Simultaneously Retrieve Surface Soil Moisture, Vegetation Water Content, and Surface Soil Roughness. - Sawada, Yohei; Koike, Toshio; Aida, Kentaro; Toride, Kinya; Walker, Jeffrey P. (IEEE Trans. Geosci. Remote. Sens., 2017)