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Rainfall Estimation From TEMPEST-D CubeSat Observations: A Machine-Learning Approach., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)TEMPEST-D and GPM-GMI Observations Over Precipitating Systems: A Cross-Validation Study., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Cross Validation of TEMPEST-D and RainCube Observations Over Precipitation Systems., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Cross Validation of Tempest-D and Raincube Observations., , , , , , , and . IGARSS, page 7892-7895. IEEE, (2021)An Earth Venture In-Space Technology Demonstration Mission for Temporal Experiment for Storms and Tropical Systems (Tempest)., , , , , , , , , and 2 other author(s). IGARSS, page 6301-6303. IEEE, (2018)Development of Surface Rain Estimates from Tempest-D Observations., , , and . IGARSS, page 666-669. IEEE, (2023)Cross-Validation of Tempest-D And GPM/GMI Observations Over Precipitating Systems., , , , and . IGARSS, page 4288-4291. IEEE, (2022)On the Effect of Non-Raining Parameters in Retrieval of Surface Rain Rate Using TRMM PR and TMI Measurements., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 5 (3): 735-743 (2012)Rainfall Estimation from Tempest-D Cubesat Observations., , , and . IGARSS, page 8115-8118. IEEE, (2021)