Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator
<p>An evaluation of the ERA-Interim clouds using satellite observations is presented. To facilitate such an evaluation in a proper way, a simplified satellite simulator has been developed and applied to 6-hourly ERA-Interim reanalysis data covering the period of 1982 to 2014. The simulator con...
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doaj-39c927b2d89840db82fd1efb9bf006132020-11-24T22:52:12ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242018-12-0118176011761410.5194/acp-18-17601-2018Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulatorM. Stengel0C. Schlundt1S. Stapelberg2O. Sus3O. Sus4S. Eliasson5U. Willén6J. F. Meirink7Deutscher Wetterdienst, Offenbach, GermanyDeutscher Wetterdienst, Offenbach, GermanyDeutscher Wetterdienst, Offenbach, GermanyDeutscher Wetterdienst, Offenbach, GermanyEuropean Organisation for the Exploitation of Meteorological Satellites, Darmstadt, GermanySwedish Meteorological and Hydrological Institute, Norrköping, SwedenSwedish Meteorological and Hydrological Institute, Norrköping, SwedenRoyal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands<p>An evaluation of the ERA-Interim clouds using satellite observations is presented. To facilitate such an evaluation in a proper way, a simplified satellite simulator has been developed and applied to 6-hourly ERA-Interim reanalysis data covering the period of 1982 to 2014. The simulator converts modelled cloud fields, for example those of the ERA-Interim reanalysis, to simulated cloud fields by accounting for specific characteristics of passive imaging satellite sensors such as the Advanced Very High Resolution Radiometer (AVHRR), which form the basis of many long-term observational datasets of cloud properties. It is attempted to keep the simulated cloud fields close to the original modelled cloud fields to allow a quality assessment of the latter based on comparisons of the simulated clouds fields with the observations.</p> <p>Applying the simulator to ERA-Interim data, this study firstly focuses on the spatial distribution and frequency of clouds (total cloud fraction) and on their vertical position, using cloud-top pressure to express the cloud fraction of high-level, mid-level and low-level clouds. Furthermore, the cloud-top thermodynamic phase is investigated. All comparisons incorporate knowledge of systematic uncertainties in the satellite observations and are further stratified by accounting for the limited sensitivity of the observations to clouds with very low cloud optical thickness (COT).</p> <p>The comparisons show that ERA-Interim cloud fraction is generally too low nearly everywhere on the globe except in the polar regions. This underestimation is caused by a lack of mid-level and/or low-level clouds, for which the comparisons only show a minor sensitivity to the cloud optical thickness thresholds applied. The amount of ERA-Interim high-level clouds, being higher than in the observations, agrees with the observations within their estimated uncertainties. Removing the optically very thin clouds (COT <span class="inline-formula"><i><</i>0.15</span>) from the model fields improves the agreement with the observations for high-level cloud fraction locally (e.g. in the tropics), while for the mid-latitude regions, the best agreement for high-level cloud fraction is found when removing all clouds with COT <span class="inline-formula"><i><</i>1.0</span>. Comparisons of the cloud thermodynamic phase at the cloud top reveal a too high relative ice cloud frequency in ERA-Interim, being most pronounced in the higher latitudes. Indications are found that this is due to the suppression of liquid cloud occurrence for temperatures below <span class="inline-formula">−</span>23 <span class="inline-formula"><sup>∘</sup></span>C in ERA-Interim.</p> <p>The application of this simulator facilitates a more effective use of passive satellite observations of clouds in the evaluation of modelled cloudiness, for example in reanalyses.</p>https://www.atmos-chem-phys.net/18/17601/2018/acp-18-17601-2018.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
M. Stengel C. Schlundt S. Stapelberg O. Sus O. Sus S. Eliasson U. Willén J. F. Meirink |
spellingShingle |
M. Stengel C. Schlundt S. Stapelberg O. Sus O. Sus S. Eliasson U. Willén J. F. Meirink Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator Atmospheric Chemistry and Physics |
author_facet |
M. Stengel C. Schlundt S. Stapelberg O. Sus O. Sus S. Eliasson U. Willén J. F. Meirink |
author_sort |
M. Stengel |
title |
Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator |
title_short |
Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator |
title_full |
Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator |
title_fullStr |
Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator |
title_full_unstemmed |
Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator |
title_sort |
comparing era-interim clouds with satellite observations using a simplified satellite simulator |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2018-12-01 |
description |
<p>An evaluation of the ERA-Interim clouds using satellite
observations is presented. To facilitate such an evaluation in a proper way,
a simplified satellite simulator has been developed and applied to 6-hourly
ERA-Interim reanalysis data covering the period of 1982 to 2014. The simulator
converts modelled cloud fields, for example those of the ERA-Interim
reanalysis, to simulated cloud fields by accounting for specific
characteristics of passive imaging satellite sensors such as the Advanced
Very High Resolution Radiometer (AVHRR), which form the basis of many
long-term observational datasets of cloud properties. It is attempted to keep
the simulated cloud fields close to the original modelled cloud fields to
allow a quality assessment of the latter based on comparisons of the
simulated clouds fields with the observations.</p>
<p>Applying the simulator to ERA-Interim data, this study firstly focuses on the
spatial distribution and frequency of clouds (total cloud fraction) and on
their vertical position, using cloud-top pressure to express the cloud
fraction of high-level, mid-level and low-level clouds. Furthermore, the cloud-top
thermodynamic phase is investigated. All comparisons incorporate knowledge of
systematic uncertainties in the satellite observations and are further
stratified by accounting for the limited sensitivity of the observations to
clouds with very low cloud optical thickness (COT).</p>
<p>The comparisons show that ERA-Interim cloud fraction is generally too low nearly everywhere on the globe except in
the polar regions. This underestimation is caused by a lack of mid-level
and/or low-level clouds, for which the comparisons only show a minor sensitivity to
the cloud optical thickness thresholds applied. The amount of ERA-Interim
high-level clouds, being higher than in the observations, agrees with the
observations within their estimated uncertainties. Removing the optically
very thin clouds (COT <span class="inline-formula"><i><</i>0.15</span>) from the model fields improves the
agreement with the observations for high-level cloud fraction locally (e.g. in the
tropics), while for the mid-latitude regions, the best agreement for
high-level cloud fraction is found when removing all clouds with COT <span class="inline-formula"><i><</i>1.0</span>.
Comparisons of the cloud thermodynamic phase at the cloud top reveal a too high relative ice cloud frequency in ERA-Interim, being most pronounced
in the higher latitudes. Indications are found that this is due to the
suppression of liquid cloud occurrence for temperatures
below <span class="inline-formula">−</span>23 <span class="inline-formula"><sup>∘</sup></span>C in ERA-Interim.</p>
<p>The application of this simulator facilitates a more effective use of passive
satellite observations of clouds in the evaluation of modelled cloudiness,
for example in reanalyses.</p> |
url |
https://www.atmos-chem-phys.net/18/17601/2018/acp-18-17601-2018.pdf |
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