Use of Raman lidar for validation of aqua retrievals and the study of airs radiances. - David N. Whiteman; Belay Demoz; Zhien Wang; Chris Barnet; Ray Hoff; Wallace McMillan; Igor Veselovskii; Kevin McCann; Felicita Russo; Antonia Gambacorta; Kurt Lightner; Eric S. Maddy; et al. (IGARSS, 2003)

Vertical Resolution Estimates in Version 5 of AIRS Operational Retrievals. - Eric S. Maddy; Christopher D. Barnet (IEEE Trans. Geosci. Remote. Sens., 2008)

A Computationally Efficient Retrieval Algorithm for Hyperspectral Sounders Incorporating A Priori Information. - Eric S. Maddy; Christopher D. Barnet; Antonia Gambacorta (IEEE Geosci. Remote. Sens. Lett., 2009)

Seven Years' Observation of Mid-Upper Tropospheric Methane from Atmospheric Infrared Sounder. - Xiaozhen Xiong; Chris Barnet; Eric S. Maddy; Jennifer C. Wei; Xingpin Liu; Thomas S. Pagano (Remote. Sens., 2010)

Validating the AIRS Version 5 CO Retrieval With DACOM In Situ Measurements During INTEX-A and -B. - W. Wallace McMillan; Keith D. Evans; Christopher D. Barnet; Eric S. Maddy; G. W. Sachse; Glenn S. Diskin (IEEE Trans. Geosci. Remote. Sens., 2011)

Evaluation of CrIMSS operational products using in-situ measurements, model analysis fields, and retrieval products from heritage algorithms. - Murty Divakarla; Chris Barnet; Mitchell D. Goldberg; Degui Gu; Xu Liu 018; Xiaozhen Xiong; Susan Kizer; Guang Guo; Mike Wilson; Eric S. Maddy; Nicholas R. Nalli; Antonia Gambacorta; et al. (IGARSS, 2012)

On the angular effect of residual clouds and aerosols in clear-sky IR window radiance observations. - Nicholas R. Nalli; Christopher D. Barnet; Antonia Gambacorta; Eric S. Maddy; Hua Xie; Tom King; Everette Joseph; Vernon R. Morris; William L. Smith (IGARSS, 2012)

An Experiment Using High Spectral Resolution CrIS Measurements for Atmospheric Trace Gases: Carbon Monoxide Retrieval Impact Study. - Antonia Gambacorta; Christopher D. Barnet; Walter W. Wolf; Thomas King; Eric S. Maddy; Larrabee L. Strow; Xiaozhen Xiong; Nicholas R. Nalli; Mitchell D. Goldberg (IEEE Geosci. Remote. Sens. Lett., 2014)

MIIDAPS-AI: An Explainable Machine-Learning Algorithm for Infrared and Microwave Remote Sensing and Data Assimilation Preprocessing - Application to LEO and GEO Sensors. - Eric S. Maddy; Sid-Ahmed Boukabara (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Comprehensive Approach to Evaluating and Optimizing the Value of Observing Systems: Application to Next-Gen NOAA Satellites. - Sid-Ahmed Boukabara; Ross N. Hoffman; Stacy Bunin; Eric S. Maddy; Narges Shahroudi; Jean-Luc Moncet; R. Cardenas; R. Montoro; Monica Coakley; Louis Cantrell; David Helms (IGARSS, 2022)

Temperature and Moisture Sounding Performance of Current and Prospective Microwave Instruments under All-Sky Conditions. - Eric S. Maddy; Stacy Bunin; Valerie J. Mikles; Narges Shahroudi; Bungo Shiotani; Sid-Ahmed Boukabara (Remote. Sens., 2022)

A Deep-Learning-Based Microwave Radiative Transfer Emulator for Data Assimilation and Remote Sensing. - Xingming Liang; Kevin Garrett; Quanhua (Mark) Liu; Eric S. Maddy; Kayo Ide; Sid-Ahmed Boukabara (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

A Machine Learning Outlook: Post-processing of Global Medium-range Forecasts. - Shreya Agrawal; Rob Carver; Cenk Gazen; Eric S. Maddy; Vladimir Krasnopolsky; Carla Bromberg; Zack Ontiveros; Tyler Russell; Jason Hickey; Sid-Ahmed Boukabara (CoRR, 2023)

Assessing the Feasibility of an NWP Satellite Data Assimilation System Entirely Based on AI Techniques. - Eric S. Maddy; Sid-Ahmed Boukabara; Flavio Iturbide-Sanchez (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Toward the Next Generation of Microwave Sounders: Benefits of a Low-Earth Orbit Hyperspectral Microwave Instrument in All-Weather Conditions Using AI. - Eric S. Maddy; Flavio Iturbide-Sanchez; Sid-Ahmed Boukabara (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)