Detection of land-surface-induced atmospheric water vapor patterns
<p>Finding observational evidence of land surface and atmosphere interactions is crucial for understanding the spatial and temporal evolution of the boundary layer, as well as for model evaluation, and in particular for large-eddy simulation (LES) models. In this study, the influence of a hete...
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doaj-89562ad2412c4a6398c619947d6869262020-11-24T21:03:12ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242020-02-01201723173610.5194/acp-20-1723-2020Detection of land-surface-induced atmospheric water vapor patternsT. MarkeU. LöhnertV. SchemannJ. H. SchweenS. Crewell<p>Finding observational evidence of land surface and atmosphere interactions is crucial for understanding the spatial and temporal evolution of the boundary layer, as well as for model evaluation, and in particular for large-eddy simulation (LES) models. In this study, the influence of a heterogeneous land surface on the spatial distribution of atmospheric water vapor is assessed. Ground-based remote sensing measurements from a scanning microwave radiometer (MWR) are used in a long-term study over 6 years to characterize spatial heterogeneities in integrated water vapor (IWV) during clear-sky conditions at the Jülich ObservatorY for Cloud Evolution (JOYCE). The resulting deviations from the mean of the scans reveal a season- and direction-dependent IWV that is visible throughout the day. Comparisons with a satellite-derived spatial IWV distribution show good agreement for a selection of satellite overpasses during convective situations but no clear seasonal signal. With the help of a land use type classification and information on the topography, the main types of regions with a positive IWV deviation were determined to be agricultural fields and nearby open pit mines. Negative deviations occurred mainly above elevated forests and urban areas. In addition, high-resolution large-eddy simulations (LESs) are used to investigate changes in the water vapor and cloud fields for an altered land use input.</p>https://www.atmos-chem-phys.net/20/1723/2020/acp-20-1723-2020.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
T. Marke U. Löhnert V. Schemann J. H. Schween S. Crewell |
spellingShingle |
T. Marke U. Löhnert V. Schemann J. H. Schween S. Crewell Detection of land-surface-induced atmospheric water vapor patterns Atmospheric Chemistry and Physics |
author_facet |
T. Marke U. Löhnert V. Schemann J. H. Schween S. Crewell |
author_sort |
T. Marke |
title |
Detection of land-surface-induced atmospheric water vapor patterns |
title_short |
Detection of land-surface-induced atmospheric water vapor patterns |
title_full |
Detection of land-surface-induced atmospheric water vapor patterns |
title_fullStr |
Detection of land-surface-induced atmospheric water vapor patterns |
title_full_unstemmed |
Detection of land-surface-induced atmospheric water vapor patterns |
title_sort |
detection of land-surface-induced atmospheric water vapor patterns |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2020-02-01 |
description |
<p>Finding observational evidence of land surface and atmosphere interactions is crucial for understanding the spatial and temporal evolution of the boundary layer, as well as for model evaluation, and in particular for large-eddy simulation (LES) models. In this study, the influence of a heterogeneous land surface on the spatial distribution of atmospheric water vapor is assessed. Ground-based remote sensing measurements from a scanning microwave radiometer (MWR) are used in a long-term study over 6 years to characterize spatial heterogeneities in integrated water vapor (IWV) during clear-sky conditions at the Jülich ObservatorY for Cloud Evolution (JOYCE). The resulting deviations from the mean of the scans reveal a season- and direction-dependent IWV that is visible throughout the day. Comparisons with a satellite-derived spatial IWV distribution show good agreement for a selection of satellite overpasses during convective situations but no clear seasonal signal. With the help of a land use type classification and information on the topography, the main types of regions with a positive IWV deviation were determined to be agricultural fields and nearby open pit mines. Negative deviations occurred mainly above elevated forests and urban areas. In addition, high-resolution large-eddy simulations (LESs) are used to investigate changes in the water vapor and cloud fields for an altered land use input.</p> |
url |
https://www.atmos-chem-phys.net/20/1723/2020/acp-20-1723-2020.pdf |
work_keys_str_mv |
AT tmarke detectionoflandsurfaceinducedatmosphericwatervaporpatterns AT ulohnert detectionoflandsurfaceinducedatmosphericwatervaporpatterns AT vschemann detectionoflandsurfaceinducedatmosphericwatervaporpatterns AT jhschween detectionoflandsurfaceinducedatmosphericwatervaporpatterns AT screwell detectionoflandsurfaceinducedatmosphericwatervaporpatterns |
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1716773883834531840 |