Articles | Volume 8, issue 5
https://doi.org/10.5194/amt-8-1935-2015
© Author(s) 2015. 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-8-1935-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A model sensitivity study of the impact of clouds on satellite detection and retrieval of volcanic ash
NILU – Norwegian Institute for Air Research, P. O. Box 100, 2027 Kjeller, Norway
N. Kristiansen
NILU – Norwegian Institute for Air Research, P. O. Box 100, 2027 Kjeller, Norway
A. Stohl
NILU – Norwegian Institute for Air Research, P. O. Box 100, 2027 Kjeller, Norway
R. Buras-Schnell
Schnell Algorithms, Am Erdäpfelgarten 1, 82205 Gilching, Germany
Meteorological Institute, Ludwig-Maximilians-University, Munich, Germany
J. Gasteiger
Meteorological Institute, Ludwig-Maximilians-University, Munich, Germany
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Cited
11 citations as recorded by crossref.
- Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajökull volcanic eruption G. Fu et al.
- Multisatellite Multisensor Observations of a Sub-Plinian Volcanic Eruption: The 2015 Calbuco Explosive Event in Chile F. Marzano et al.
- Ash particle refractive index model for simulating the brightness temperature spectrum of volcanic ash clouds from satellite infrared sounder measurements H. Ishimoto et al.
- Aerosol Effects on Clear‐Sky Shortwave Heating in the Asian Monsoon Tropopause Layer J. Gao et al.
- Simulating atmospheric transport of the 2011 Grímsvötn ash cloud using a data insertion update scheme K. Wilkins et al.
- Complex refractive index of volcanic ash aerosol in the infrared, visible, and ultraviolet A. Deguine et al.
- Extension of the WRF-Chem volcanic emission preprocessor to integrate complex source terms and evaluation for different emission scenarios of the Grimsvötn 2011 eruption M. Hirtl et al.
- Uncertainty assessment and applicability of an inversion method for volcanic ash forecasting B. Steensen et al.
- HAPI2LIBIS (v1.0): a new tool for flexible high-resolution radiative transfer computations with libRadtran (version 2.0.5) A. Kukkurainen et al.
- The libRadtran software package for radiative transfer calculations (version 2.0.1) C. Emde et al.
- Uncertainty-bounded estimates of ash cloud properties using the ORAC algorithm: application to the 2019 Raikoke eruption A. Prata et al.
11 citations as recorded by crossref.
- Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajökull volcanic eruption G. Fu et al.
- Multisatellite Multisensor Observations of a Sub-Plinian Volcanic Eruption: The 2015 Calbuco Explosive Event in Chile F. Marzano et al.
- Ash particle refractive index model for simulating the brightness temperature spectrum of volcanic ash clouds from satellite infrared sounder measurements H. Ishimoto et al.
- Aerosol Effects on Clear‐Sky Shortwave Heating in the Asian Monsoon Tropopause Layer J. Gao et al.
- Simulating atmospheric transport of the 2011 Grímsvötn ash cloud using a data insertion update scheme K. Wilkins et al.
- Complex refractive index of volcanic ash aerosol in the infrared, visible, and ultraviolet A. Deguine et al.
- Extension of the WRF-Chem volcanic emission preprocessor to integrate complex source terms and evaluation for different emission scenarios of the Grimsvötn 2011 eruption M. Hirtl et al.
- Uncertainty assessment and applicability of an inversion method for volcanic ash forecasting B. Steensen et al.
- HAPI2LIBIS (v1.0): a new tool for flexible high-resolution radiative transfer computations with libRadtran (version 2.0.5) A. Kukkurainen et al.
- The libRadtran software package for radiative transfer calculations (version 2.0.1) C. Emde et al.
- Uncertainty-bounded estimates of ash cloud properties using the ORAC algorithm: application to the 2019 Raikoke eruption A. Prata et al.
Saved (final revised paper)
Latest update: 05 May 2026
Short summary
Water and ice clouds affect detection and retrieval of volcanic ash clouds by satellite instruments. Synthetic infrared satellite images were generated for the Eyjafjallajokull 2010 and Grimsvotn 2011 eruptions by combining weather forecast, ash transport and radiative transfer modelling. Clouds decreased the number of pixels identified as ash and generally increased the retrieved ash-mass loading compared to the cloudless case; however, large differences were seen between scenes.
Water and ice clouds affect detection and retrieval of volcanic ash clouds by satellite...