David Duncan

Post doc at Chalmers, Space, Earth and Environment, Microwave and Optical Remote Sensing

David Duncan is a postdoctoral researcher focusing on passive microwave measurements from satellite platforms. To maximize the useful information from satellites, we need to account for the calibration and all possible errors of the measurements. In addition, accurate modeling of photons traveling through the atmosphere at microwave frequencies is required to back out the composition of the atmosphere. Properly characterized, these data can answer fundamental questions about the Earth system, such as how much it rains over high latitude oceans or quantifying atmospheric ice content.

Source: chalmers.se

Showing 4 publications

2019

On the distinctiveness of observed oceanic raindrop distributions

David Duncan, Patrick Eriksson, Simon Pfreundschuh et al
Atmospheric Chemistry and Physics. Vol. 19 (10), p. 6969-6984
Journal article
2018

Towards variational retrieval of warm rain from passive microwave observations

David Duncan, Christian D. Kummerow, Brenda Dolan et al
Atmospheric Measurement Techniques. Vol. 11 (7), p. 4389-4411
Journal article
2018

An update on atmospheric ice estimates from satellite observations and reanalyses

David Duncan, Patrick Eriksson
Atmospheric Chemistry and Physics. Vol. 18 (15), p. 11205-11219
Journal article
2018

A neural network approach to estimating a posteriori distributions of Bayesian retrieval problems

Simon Pfreundschuh, Patrick Eriksson, David Duncan et al
Atmospheric Measurement Techniques. Vol. 11 (8), p. 4627-4643
Journal article

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