Articles | Volume 12, issue 12
Atmos. Meas. Tech., 12, 6341–6359, 2019
Atmos. Meas. Tech., 12, 6341–6359, 2019

Research article 03 Dec 2019

Research article | 03 Dec 2019

An experimental 2D-Var retrieval using AMSR2

David Ian Duncan et al.

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Cited articles

Atlas, R., Hoffman, R. N., Ardizzone, J., Leidner, S. M., Jusem, J. C., Smith, D. K., and Gombos, D.: A Cross-calibrated, Multiplatform Ocean Surface Wind Velocity Product for Meteorological and Oceanographic Applications, B. Am. Meteor. Soc., 92, 157–174,, 2011. a
Backus, G. E. and Gilbert, J. F.: Numerical Applications of a Formalism for Geophysical Inverse Prob., Geophys. J. R. Astron. Soc., 13, 247–276,, 1967. a, b
Baron, P., Ricaud, P., Delanoë, J., Eriksson, P., Merino, F., and Murtagh, D.: Studies for the Odin sub-millimetre radiometer. II. Retrieval methodology, Can. J. Phys., 80, 341–356,, 2002. a
Berg, W.: GPM GMI Common Calibrated Brightness Temperatures Collocated L1C 1.5 hours 13 km V05, Tech. rep., NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), Greenbelt, MD, USA,, 2016. a
Berg, W., Bilanow, S., Chen, R., Datta, S., Draper, D., Ebrahimi, H., Farrar, S., Jones, W. L., Kroodsma, R., McKague, D., Payne, V., Wang, J., Wilheit, T., and Yang, J. X.: Intercalibration of the GPM Microwave Radiometer Constellation, J. Atmos. Oceanic Tech., 33, 2639–2654,, 2016. a
Short summary
The overlapping beams of some satellite observations contain spatial information that is discarded by most data processing techniques. This study applies an established technique in a new way to improve the spatial resolution of retrieval targets, effectively using the overlapping information to achieve a higher ultimate resolution. It is argued that this is a more optimal use of the total information available from current microwave sensors, using AMSR2 as an example.