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TEMPEST-D and GPM-GMI Observations Over Precipitating Systems: A Cross-Validation Study.

, , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)

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Temporal Experiment for Storms and Tropical Systems Technology Demonstration (TEMPEST-D): Reducing risk for 6U-Class nanosatellite constellations., , , , , , , , , and . IGARSS, page 5559-5560. IEEE, (2016)Cross-Validation of Tempest-D And GPM/GMI Observations Over Precipitating Systems., , , , and . IGARSS, page 4288-4291. IEEE, (2022)Towards developing a long-term high-quality intercalibrated TRMM/GPM radiometer dataset.. IGARSS, page 248-250. IEEE, (2017)Calibration of Microwave Radiometers from GPM to Cubesats.. IGARSS, page 3101-3104. IEEE, (2018)Toward an Intercalibrated Fundamental Climate Data Record of the SSM/I Sensors., , , and . IEEE Trans. Geosci. Remote. Sens., 51 (3-1): 1492-1503 (2013)Special Sensor Microwave Imager/Sounder Updates for the Global Precipitation Measurement V07 Data Suite., , and . IEEE Trans. Geosci. Remote. Sens., (2022)Improved Geolocation and Earth Incidence Angle Information for a Fundamental Climate Data Record of the SSM/I Sensors., , , and . IEEE Trans. Geosci. Remote. Sens., 51 (3-1): 1504-1513 (2013)Rainfall Estimation from Tempest-D Cubesat Observations., , , and . IGARSS, page 8115-8118. IEEE, (2021)Calibration and Validation of the TEMPEST-D CubeSat Radiometer., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 59 (6): 4904-4914 (2021)Rainfall Estimation From TEMPEST-D CubeSat Observations: A Machine-Learning Approach., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)