{"id":237,"date":"2019-07-09T14:37:22","date_gmt":"2019-07-09T13:37:22","guid":{"rendered":"http:\/\/35.193.178.118\/?page_id=237"},"modified":"2021-02-12T16:35:59","modified_gmt":"2021-02-12T16:35:59","slug":"publications","status":"publish","type":"page","link":"https:\/\/research.reading.ac.uk\/fiduceo\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

Applying principles of metrology to historical Earth observations from satellites<\/h2>\n

Published in IOP-Metrologia<\/h3>\n

https:\/\/iopscience.iop.org\/article\/10.1088\/1681-7575\/ab1705<\/p>\n

By Jonathan Mittaz, Chris Merchant, Emma Woolliams<\/p>\n

 <\/p>\n

Radiance Uncertainty Characterisation to Facilitate Climate Data Record Creation<\/strong><\/span><\/h2>\n

Remote Sens.<\/em> 2019<\/strong>, 11<\/em>(5), 474; https:\/\/doi.org\/10.3390\/rs11050474<\/a><\/p>\n

Remote Sensing Special Issue<\/p>\n

By Christopher J. Merchant, Gerrit Holl, Jonathan P. D. Mittaz and Emma R. Woolliams<\/p>\n

 <\/p>\n

High performance software framework for the calculation of satellite-to-satellite data matchups (MMS version 1.2)<\/strong><\/span>.<\/h2>\n

11 (6). pp. 2419-2427. ISSN 1991-9603 doi: https:\/\/doi.org\/10.5194\/gmd-11-2419-2018<\/a><\/h2>\n

Published in Geoscientific Model Development<\/strong><\/p>\n

By Block, T., Embacher, S., Merchant, C. J. and Donlon, C.<\/p>\n

 <\/p>\n

A Novel Framework to Harmonise Satellite Data Series for Climate Applications<\/h2>\n

Published in Remote Sens. 2019<\/strong>, 11<\/em>(9), 1002; https:\/\/doi.org\/10.3390\/rs11091002<\/a><\/p>\n

By Ralf Giering, Ralf Quast, Jonathan P. D. Mittaz, Samuel E. Hunt, Peter M. Harris, Emma R. Woolliams and Christopher J. Merchant<\/p>\n

 <\/p>\n

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<\/h2>\n

Published in Remote Sens. 2018<\/strong>, 10<\/em>(12), 1959; https:\/\/doi.org\/10.3390\/rs10121959<\/a><\/p>\n

By Yves M. Govaerts, Frank R\u00fcthrich\u00a0 Viju O. John and Ralf Quast<\/p>\n

 <\/p>\n

Climate Data Records from Meteosat First Generation Part II: Retrieval of the In-Flight Visible Spectral Response<\/h2>\n

Published in Remote Sens. 2019<\/strong>, 11<\/em>(5), 480; https:\/\/doi.org\/10.3390\/rs11050480<\/a><\/p>\n

By Ralf Quast, Ralf Giering, Yves Govaerts, Frank R\u00fcthrich and Rob Roebeling<\/p>\n

 <\/p>\n

Climate Data Records from Meteosat First Generation Part III: Recalibration and Uncertainty Tracing of the Visible Channel on Meteosat-2\u20137 Using Reconstructed, Spectrally Changing Response Functions<\/h2>\n

Published in Remote Sens.<\/strong> 2019<\/strong>, 11<\/em>(10), 1165; https:\/\/doi.org\/10.3390\/rs11101165<\/a><\/p>\n

By Frank R\u00fcthrich, Viju O. John, Rob A. Roebeling, Ralf Quast, Yves Govaerts, Emma R. Woolliams and J\u00f6rg Schulz<\/p>\n

 <\/p>\n

Error Correlations in High-Resolution Infrared Radiation Sounder (HIRS) Radiances<\/h2>\n

Published in Remote Sens.<\/strong> 2019, 11(11), 1337; https:\/\/doi.org\/10.3390\/rs11111337<\/a><\/p>\n

By Gerrit Holl, Jonathan P. D. Mittaz and Christopher J. Merchant<\/p>\n

 <\/p>\n

An Uncertainty Quantified Fundamental Climate Data Record for Microwave Humidity Sounders<\/h2>\n

Published in Remote Sens.<\/strong> 2019<\/strong>, 11<\/em>(5), 548; https:\/\/doi.org\/10.3390\/rs11050548<\/a><\/p>\n

By Imke Hans, Martin Burgdorf, Stefan A. Buehler, Marc Prange, Theresa Lang and Viju O. John<\/p>\n

 <\/p>\n

Inter-channel uniformity of a microwave sounder in space<\/a><\/h2>\n

Published in Atmospheric Measurement Techniques<\/a><\/h3>\n

By:Martin Burgdorf, Imke Hans, Marc Prange, Theresa Lang, and Stefan A. Buehler<\/h4>\n

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\u2009K<\/p>\n

Noise performance of microwave humidity sounders over their lifetime<\/a><\/h2>\n

Published in Atmospheric Measurement Techniques<\/a><\/h3>\n

By:\u00a0Imke Hans, Martin Burgdorf, Viju O. John, Jonathan Mittaz, and Stefan A. Buehler<\/h4>\n

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.<\/p>\n

The Moon as a photometric calibration standard for microwave sensors<\/a><\/h2>\n

Published in Atmospheric Measurement Techniques<\/a><\/h3>\n

By:\u00a0Martin Burgdorf, Stefan A. Buehler, Theresa Lang, Simon Michel, and Imke Hans<\/h4>\n

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.<\/p>\n

Disk-Integrated Lunar Brightness Temperatures between 89 and 190 GHz, ADV ASTRON.<\/h2>\n

Published in Advances in Astronomy<\/h3>\n

https:\/\/doi.org\/10.1155\/2019\/2350476<\/a>
\n<\/strong><\/p>\n

By Burgdorf, M. J., Buehler, S. A., Hans, I., Prange, M.<\/p>\n

 <\/p>\n

 <\/p>\n

Other publications:<\/h1>\n