Alan E. Lipton

Dr. Lipton has done a broad range of work satellite remote sensing, including applications in the infrared, microwave, and visible spectra. His research topics have included retrieval techniques for properties of the Earth surface and atmosphere, including cloud and surface characteristics. In addition, he has developed methods for assimilation of satellite sounder and imager data in mesoscale numerical weather prediction models, to improve analyses and forecasts of water vapor, clouds, and surface temperatures. He was Deputy Algorithm Lead on the algorithm development effort for NPOESS Conically-scanning Microwave Imager/Sounder. In that capacity, he provided technical direction to members of the development team, oversaw system performance assessment, sensor simulation testbed development, and calibration algorithm development, and was heavily involved in atmospheric algorithm system development. He has also been Deputy Project Manager for AER’s role in the GOES-R Ground System implementation, and is a member of the science team for the NASA Energy and Water Studies program. Dr. Lipton joined AER in 1997, and is currently manager of Microwave Remote Sensing.

Assimilation of Hyperspectral Infrared Observations with Optimal Spectral Sampling

  Current data assimilation (DA) systems use only a small fraction of the thousands of channels from hyperspectral infrared sounding instruments, including IASI, AIRS, and CrIS. An alternative that retains nearly the full hyperspectral information content at greatly reduced computation cost, while filtering instrument noise, is to assimilate the optimal spectral sampling (OSS) node radiances. T...

Atmospheric and land surface characterization using a land surface emissivity database derived from AMSR-E and MODIS

Type: Report Citation: Moncet, J.-L., P. Liang, J. F. Galantowicz, A. E. Lipton, and G. Uymin , 2011:  Atmospheric and land surface characterization using a land surface emissivity database derived from AMSR-E and MODIS.  Final Report NASA Contract NNH08CC96C. Resource File: P1342-Final-Oct2011.pdf 1. SCOPE AND PROJECT OVERVIEW This Final Report describes work performed under AER Project 1342...

Fast and accurate radiative transfer in the microwave with optimum spectral sampling

IEEE Transactions on Geoscience and Remote Sensing, 47, 1909–1917, doi:10.1109/TGRS.2008.2010933.

Infrared Radiative Transfer in Cloudy Atmospheres and Retrieval Applications

Fourier Transform Spectroscopy/ Hyperspectral Imaging and Sounding of the Environment

Application of a testbed for validating remote sensor data and retrieval algorithms

Preprints, SPIE conference on Atmospheric and Environmental Remote Sensing Data Processing and Utilization: An End-to-End System Perspective, 4–6 Aug, 2004., Denver, CO.

Satellite sounding channel optimization in the microwave spectrum

By Alan E. Lipton
April 1, 2003

IEEE Transactions on Geoscience and Remote Sensing