Publications

Applying principles of metrology to historical Earth observations from satellites

Published in IOP-Metrologia

https://iopscience.iop.org/article/10.1088/1681-7575/ab1705

By Jonathan Mittaz, Chris Merchant, Emma Woolliams

 

Radiance Uncertainty Characterisation to Facilitate Climate Data Record Creation

Remote Sens. 2019, 11(5), 474; https://doi.org/10.3390/rs11050474

Remote Sensing Special Issue

By Christopher J. Merchant, Gerrit Holl, Jonathan P. D. Mittaz and Emma R. Woolliams

 

High performance software framework for the calculation of satellite-to-satellite data matchups (MMS version 1.2).

11 (6). pp. 2419-2427. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-11-2419-2018

Published in Geoscientific Model Development

By Block, T., Embacher, S., Merchant, C. J. and Donlon, C.

 

A Novel Framework to Harmonise Satellite Data Series for Climate Applications

Published in Remote Sens. 2019, 11(9), 1002; https://doi.org/10.3390/rs11091002

By Ralf Giering, Ralf Quast, Jonathan P. D. Mittaz, Samuel E. Hunt, Peter M. Harris, Emma R. Woolliams and Christopher J. Merchant

 

Climate Data Records from Meteosat First Generation Part I: Simulation of Accurate Top-of-Atmosphere Spectral Radiance over Pseudo-Invariant Calibration Sites for the Retrieval of the In-Flight Visible Spectral Response

Published in Remote Sens. 2018, 10(12), 1959; https://doi.org/10.3390/rs10121959

By Yves M. Govaerts, Frank Rüthrich  Viju O. John and Ralf Quast

 

Climate Data Records from Meteosat First Generation Part II: Retrieval of the In-Flight Visible Spectral Response

Published in Remote Sens. 2019, 11(5), 480; https://doi.org/10.3390/rs11050480

By Ralf Quast, Ralf Giering, Yves Govaerts, Frank Rüthrich and Rob Roebeling

 

Climate Data Records from Meteosat First Generation Part III: Recalibration and Uncertainty Tracing of the Visible Channel on Meteosat-2–7 Using Reconstructed, Spectrally Changing Response Functions

Published in Remote Sens. 2019, 11(10), 1165; https://doi.org/10.3390/rs11101165

By Frank Rüthrich, Viju O. John, Rob A. Roebeling, Ralf Quast, Yves Govaerts, Emma R. Woolliams and Jörg Schulz

 

Error Correlations in High-Resolution Infrared Radiation Sounder (HIRS) Radiances

Published in Remote Sens. 2019, 11(11), 1337; https://doi.org/10.3390/rs11111337

By Gerrit Holl, Jonathan P. D. Mittaz and Christopher J. Merchant

 

An Uncertainty Quantified Fundamental Climate Data Record for Microwave Humidity Sounders

Published in Remote Sens. 2019, 11(5), 548; https://doi.org/10.3390/rs11050548

By Imke Hans, Martin Burgdorf, Stefan A. Buehler, Marc Prange, Theresa Lang and Viju O. John

 

Inter-channel uniformity of a microwave sounder in space

Published in Atmospheric Measurement Techniques

By:Martin Burgdorf, Imke Hans, Marc Prange, Theresa Lang, and Stefan A. Buehler

We analyzed intrusions of the Moon in the deep space view of the Advanced Microwave Sounding Unit-B on the NOAA-16 satellite and found no significant discrepancies in the signals from the different sounding channels between 2001 and 2008. However, earlier investigations had detected biases of up to 10 K

Noise performance of microwave humidity sounders over their lifetime

Published in Atmospheric Measurement Techniques

By: Imke Hans, Martin Burgdorf, Viju O. John, Jonathan Mittaz, and Stefan A. Buehler

The microwave humidity sounders Special Sensor Microwave Water Vapor Profiler (SSMT-2), Advanced Microwave Sounding Unit-B (AMSU-B) and Microwave Humidity Sounder (MHS) to date have been providing data records for 25 years. So far, the data records lack uncertainty information essential for constructing consistent long time data series.

The Moon as a photometric calibration standard for microwave sensors

Published in Atmospheric Measurement Techniques

By: Martin Burgdorf, Stefan A. Buehler, Theresa Lang, Simon Michel, and Imke Hans

Instruments on satellites for Earth observation on polar orbits usually employ a two-point calibration technique, in which deep space and an onboard calibration target provide two reference flux levels. As the direction of the deep-space view is in general close to the celestial equator, the Moon sometimes moves through the field of view and introduces an unwelcome additional signal.

Disk-Integrated Lunar Brightness Temperatures between 89 and 190 GHz, ADV ASTRON.

Published in Advances in Astronomy

https://doi.org/10.1155/2019/2350476

By Burgdorf, M. J., Buehler, S. A., Hans, I., Prange, M.

 

 

Other publications:

  • GSICS Newsletter v10_no.2 Emma Woolliams, Jonathan Mittaz, Chris Merchant, Arta Dilo

http://docs.lib.noaa.gov/noaa_documents/NESDIS/GSICS_quarterly/v10_no2_2016.pdf#page=1

  • GSICS Newsletter v10_no.1Emma Woolliams

http://docs.lib.noaa.gov/noaa_documents/NESDIS/GSICS_quarterly/v10_no1_2016.pdf

  • ESA Living Planet Symposium 2016 Proceedings Ralf Quast, Yves Govaerts, Frank Ruethrich, Ralf Giering, Rob Roebeling

https://dx.doi.org/10.6084/m9.figshare.3412201