Articles | Volume 9, issue 5
https://doi.org/10.5194/amt-9-2207-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-2207-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Review article
| 
18 May 2016
Review article |
| 18 May 2016
A review of sources of systematic errors and uncertainties in observations and simulations at 183 GHz
Hélène Brogniez
CORRESPONDING AUTHOR
LATMOS (IPSL/UVSQ/UPMC/CNRS), 78280, Guyancourt, France
Stephen English
ECMWF, Reading, RG2 9AX, UK
Jean-François Mahfouf
CNRM/GAME, Météo-France/CNRS, Toulouse, 31057, France
Andreas Behrendt
University of Hohenheim, Institute of Physics and Meteorology,
70599 Stuttgart, Germany
Wesley Berg
Colorado State University, Fort Collins, CO, USA
Sid Boukabara
NOAA, USA, Camp Spring, MD, USA
Stefan Alexander Buehler
Meteorological Institute, Center for Earth System Research and
Sustainability, University of Hamburg, Hamburg, Germany
Philippe Chambon
CNRM/GAME, Météo-France/CNRS, Toulouse, 31057, France
Antonia Gambacorta
Science and Technology Corporation, Columbia, MD, USA
Alan Geer
ECMWF, Reading, RG2 9AX, UK
William Ingram
MetOffice, Hadley Centre, Exeter, UK and AOPP, Department of
Physics, Oxford, UK
E. Robert Kursinski
Space Sciences and Engineering, Boulder, CO, USA
Marco Matricardi
ECMWF, Reading, RG2 9AX, UK
Tatyana A. Odintsova
Institute of Applied Physics of the Russian Academy of Science,
Nizhny Novgorod, Russia
Vivienne H. Payne
JPL, California Institute of Technology, Pasadena, CA, USA
Peter W. Thorne
Department of Geography, Maynooth University, Maynooth, Ireland
Mikhail Yu. Tretyakov
Institute of Applied Physics of the Russian Academy of Science,
Nizhny Novgorod, Russia
Junhong Wang
State University of New York, Albany, NY, USA
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- Ground-Truth Experiments for the Calibration and Validation of Satellite Microwave Radiometer Data D. Karavaev et al. 10.1134/S0010952520050032
- AMSUTRAN: A microwave transmittance code for satellite remote sensing E. Turner et al. 10.1016/j.jqsrt.2019.02.013
- A review of low Earth orbit occultation using microwave and infrared-laser signals for monitoring the atmosphere and climate C. Liu et al. 10.1016/j.asr.2017.05.011
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- Precipitation Retrievals from Passive Microwave Cross-Track Sensors: The Precipitation Retrieval and Profiling Scheme C. Kidd et al. 10.3390/rs13050947
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- Can turbulence within the field of view cause significant biases in radiative transfer modeling at the 183 GHz band? X. Calbet et al. 10.5194/amt-11-6409-2018
- A new climate data record of upper-tropospheric humidity from microwave observations T. Lang et al. 10.1038/s41597-020-0560-1
- Performance analysis on wideband fast Fourier transform spectrometer of THz atmospheric limb Sounder (TALIS) H. Xu et al. 10.1016/j.measurement.2021.109927
- Uncertainty of atmospheric microwave absorption model: impact on ground-based radiometer simulations and retrievals D. Cimini et al. 10.5194/acp-18-15231-2018
- An evaluation of atmospheric absorption models at millimetre and sub-millimetre wavelengths using airborne observations S. Fox et al. 10.5194/amt-17-4957-2024
- On the problem of high-accuracy modeling of the dry air absorption spectrum in the millimeter wavelength range M. Tretyakov & A. Zibarova 10.1016/j.jqsrt.2018.05.008
- Learning earth system models from observations: machine learning or data assimilation? A. Geer 10.1098/rsta.2020.0089
- The water vapour self- and foreign-continua in the 1.6 µm and 2.3 µm windows by CRDS at room temperature S. Vasilchenko et al. 10.1016/j.jqsrt.2019.02.016
- Measurement and temperature dependence of the water vapor self-continuum between 70 and 700 cm−1 T. Odintsova et al. 10.1016/j.molstruc.2020.128046
- Retrieval of Sun Brightness Temperature and Precipitating Cloud Extinction Using Ground-Based Sun-Tracking Microwave Radiometry V. Mattioli et al. 10.1109/JSTARS.2016.2633439
- Advancing Atmospheric Thermodynamic Sounding From Space Using Hyperspectral Microwave Measurements A. Gambacorta et al. 10.1109/JSTARS.2023.3269697
- Performance of Radiative Transfer Models in the Microwave Region I. Moradi et al. 10.1029/2019JD031831
- Growing Operational Use of FY-3 Data in the ECMWF System N. Bormann et al. 10.1007/s00376-020-0207-3
- The GEWEX Water Vapor Assessment: Overview and Introduction to Results and Recommendations M. Schröder et al. 10.3390/rs11030251
- The water vapor foreign-continuum in the 1.6 µm window by CRDS at room temperature D. Mondelain et al. 10.1016/j.jqsrt.2020.106923
- Assimilation of Megha-Tropiques SAPHIR Observations in the NOAA Global Model E. Jones et al. 10.1175/MWR-D-16-0148.1
- Insights into the Microwave Instruments Onboard the Fengyun 3D Satellite: Data Quality and Assimilation in the Met Office NWP System F. Carminati et al. 10.1007/s00376-020-0010-1
- Water vapor line profile at 183-GHz: Temperature dependence of broadening, shifting, and speed-dependent shape parameters M. Koshelev et al. 10.1016/j.jqsrt.2020.107472
- First steps towards an all-sky assimilation framework for tropical cyclone event over Bay of Bengal region: Evaluation and assessment of GMI radiances R. Mangla et al. 10.1016/j.atmosres.2021.105564
Latest update: 16 Nov 2024
Short summary
Because a systematic difference between measurements of water vapor performed by space-borne observing instruments in the microwave spectral domain and their numerical modeling was recently highlighted, this work discusses and gives an overview of the various errors and uncertainties associated with each element in the comparison process. Indeed, the knowledge of absolute errors in any observation of the climate system is key, more specifically because we need to detect small changes.
Because a systematic difference between measurements of water vapor performed by space-borne...
