Andrew Manaster


Research Scientist

Office: 707-545-2904 x14

manaster@remss.com


Bio

Andrew received his B.S. in Atmospheric Science from the University of Illinois at Urbana-Champaign in 2013.  He began graduate school shortly thereafter and received his M.S. in Atmospheric Science from Colorado State University in Fall 2015.  His thesis work focused on comparing observed trends in cloud liquid water path as seen from passive microwave sensors to modeled cloud liquid water path trends in state of the art climate models. He joined RSS in June, 2016 as a research scientist.


Education

  • M.S., Atmospheric Science, Colorado State University, 2015
    • Thesis: Evaluation of Inter-annual Variability and Trends in Clouds Liquid Water Path in Climate Models Using a Multi-Decadal Record of Passive Microwave Observations
    • Advisors: Dr. Christian Kummerow and Dr. Christopher O'Dell
  • B.S., Atmospheric Science, University of Illinois at Urbana-Champaign, 2013

Affiliations

  • American Geophysical Union (AGU)​
  • American Meteorological Society (AMS)

Publications

Ricciardulli, L., Manaster, A. and Lindsley, R., Investigation of a calibration change in the ocean surface wind measurements from the TAO buoy array. Bull. Amer. Meteor. Soc., in press. Early Online Release, 7 January 2025, https://doi.org/10.1175/BAMS-D-24-0072.1

Wentz, K., T. Meissner, F. Wentz, and A. Manaster, 2024: Absolute Intercalibration of Spaceborne Microwave Radiometers. J. Atmos. Oceanic Technol., 41, 1121–1138, https://doi.org/10.1175/JTECH-D-24-0024.1

Mears, C., Manaster, A., & Wentz, F., 2023: A Computationally Efficient Approach for Resampling Microwave Radiances from Conical Scanners to a Regular Earth Grid. Remote Sensing, 15(20), 5047. https://doi.org/10.3390/rs15205047

Meissner, T. L. Ricciardulli, A. Manaster and F. Wentz, 2023: "SMAP – Windsat Brightness Temperature Match-Ups as Proxy for Developing CIMR Ocean Retrieval Algorithms," IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 997-999, https://doi.org/10.1109/IGARSS52108.2023.10282225

Ricciardulli, L.; Foltz, G.R.; Manaster, A.; Meissner, T., 2022: Assessment of Saildrone Extreme Wind Measurements in Hurricane Sam Using MW Satellite Sensors. Remote Sens., 14, 2726. https://doi.org/10.3390/rs14122726

Ricciardulli, L.; Foltz, G.R.; Manaster, A.; Meissner, T., 2022: Assessment of Saildrone Extreme Wind Measurements in Hurricane Sam Using MW Satellite Sensors. Remote Sens., 14, 2726. https://doi.org/10.3390/rs14122726

Meissner, T., and A. Manaster, 2021: SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures. Remote Sensing, 13, 5120. https://doi.org/10.3390/rs13245120

Meissner, T., L. Ricciardulli, A. Manaster, 2021: Tropical Cyclone Wind Speeds from AMSR and WindSat: Algorithm Development and Testing. Remote Sensing, 13(9), 1641. https://doi.org/10.3390/rs13091641

Ricciardulli L., Manaster A., 2021: Intercalibration of ASCAT Scatterometer Winds from MetOp-A, -B, and -C, for a Stable Climate Data Record. Remote Sensing, 13(18), 3678. https://doi.org/10.3390/rs13183678

Ricciardulli, L.; Mears, C.; Manaster, A.; Meissner, T., 2021: Assessment of CYGNSS Wind Speed Retrievals in Tropical Cyclones. Remote Sens., 13, 5110. https://doi.org/10.3390/rs13245110

Manaster, A., L. Ricciardulli, and T. Meissner, 2019: Validation of High Ocean Surface Winds from Satellites Using Oil Platform Anemometers. J. Atmos. Oceanic Technol., 36, 803–818. https://doi.org/10.1175/JTECH-D-18-0116.1

Manaster, Andrew, O'Dell, C.W., and Elsaesser G., 2016: Evaluation Cloud Liquid Water Path Trends Using a Multi-Decadal Record of Passive Microwave Observations.  Journal of Applied Meteorology and Climatology

Manaster, Andrew, 2016: Evaluation of Inter-annual Variability and Trends of Cloud Liquid Water Path in Climate Models Using a Multi-Decadal Record of Passive Microwave Observations.  ProQuest  Dissertations and Theses