The Importance of the Spatial Density of Satellite Measurements for the Retrieval of Spatial Flux Patterns
Initial results from GOSAT flux inversions of column-integrated carbon dioxide suggest a significant redistribution of surface fluxes compared to inversions using only surface-based inversions as an observational constraint. New evidence suggests that this redistribution of fluxes is a robust featur...
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ftdlr:oai:elib.dlr.de:92960 2024-05-19T07:36:29+00:00 The Importance of the Spatial Density of Satellite Measurements for the Retrieval of Spatial Flux Patterns Marshall, Julia Kiemle, Christoph Fix, Andreas 2014-12 https://elib.dlr.de/92960/ unknown Marshall, Julia und Kiemle, Christoph und Fix, Andreas (2014) The Importance of the Spatial Density of Satellite Measurements for the Retrieval of Spatial Flux Patterns. AGU Fall Meeting, 2014-12-15 - 2014-12-19, San Francisco. Lidar Konferenzbeitrag NonPeerReviewed 2014 ftdlr 2024-04-25T00:31:44Z Initial results from GOSAT flux inversions of column-integrated carbon dioxide suggest a significant redistribution of surface fluxes compared to inversions using only surface-based inversions as an observational constraint. New evidence suggests that this redistribution of fluxes is a robust feature, and is related to the increased spatial density of the measurements made available by remote sensing. However GOSAT's rather large measurement footprint and sparse sampling still provide poor coverage over many areas of the globe, particularly regions characterized by consistent cloud cover, such as the tropics, and all passive near-infrared sensors suffer from a seasonal sampling bias due to limited sunlight during high latitude winter. As such, errors in the pattern of retrieved fluxes may still be significant. Active sensors based on lidar do not suffer from the same seasonal (or diurnal) sampling biases, and their exceptionally small instantaneous field of view (~150 m) promises to greatly improve the spatial coverage of the measurements over partially cloudy regions. Using the case of MERLIN, a planned joint French-German lidar mission designed to measure XCH4, the implications of this increased spatial coverage is considered in an inverse modelling framework, and compared to presently available measurement coverage from the surface-based network and GOSAT. The gain in knowledge about the absolute size of the regional methane fluxes, particularly in currently undersampled regions such as the Arctic permafrost zones and tropical wetlands, is quantified. Conference Object Arctic permafrost German Aerospace Center: elib - DLR electronic library |
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German Aerospace Center: elib - DLR electronic library |
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Lidar Marshall, Julia Kiemle, Christoph Fix, Andreas The Importance of the Spatial Density of Satellite Measurements for the Retrieval of Spatial Flux Patterns |
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Lidar |
description |
Initial results from GOSAT flux inversions of column-integrated carbon dioxide suggest a significant redistribution of surface fluxes compared to inversions using only surface-based inversions as an observational constraint. New evidence suggests that this redistribution of fluxes is a robust feature, and is related to the increased spatial density of the measurements made available by remote sensing. However GOSAT's rather large measurement footprint and sparse sampling still provide poor coverage over many areas of the globe, particularly regions characterized by consistent cloud cover, such as the tropics, and all passive near-infrared sensors suffer from a seasonal sampling bias due to limited sunlight during high latitude winter. As such, errors in the pattern of retrieved fluxes may still be significant. Active sensors based on lidar do not suffer from the same seasonal (or diurnal) sampling biases, and their exceptionally small instantaneous field of view (~150 m) promises to greatly improve the spatial coverage of the measurements over partially cloudy regions. Using the case of MERLIN, a planned joint French-German lidar mission designed to measure XCH4, the implications of this increased spatial coverage is considered in an inverse modelling framework, and compared to presently available measurement coverage from the surface-based network and GOSAT. The gain in knowledge about the absolute size of the regional methane fluxes, particularly in currently undersampled regions such as the Arctic permafrost zones and tropical wetlands, is quantified. |
format |
Conference Object |
author |
Marshall, Julia Kiemle, Christoph Fix, Andreas |
author_facet |
Marshall, Julia Kiemle, Christoph Fix, Andreas |
author_sort |
Marshall, Julia |
title |
The Importance of the Spatial Density of Satellite Measurements for the Retrieval of Spatial Flux Patterns |
title_short |
The Importance of the Spatial Density of Satellite Measurements for the Retrieval of Spatial Flux Patterns |
title_full |
The Importance of the Spatial Density of Satellite Measurements for the Retrieval of Spatial Flux Patterns |
title_fullStr |
The Importance of the Spatial Density of Satellite Measurements for the Retrieval of Spatial Flux Patterns |
title_full_unstemmed |
The Importance of the Spatial Density of Satellite Measurements for the Retrieval of Spatial Flux Patterns |
title_sort |
importance of the spatial density of satellite measurements for the retrieval of spatial flux patterns |
publishDate |
2014 |
url |
https://elib.dlr.de/92960/ |
genre |
Arctic permafrost |
genre_facet |
Arctic permafrost |
op_relation |
Marshall, Julia und Kiemle, Christoph und Fix, Andreas (2014) The Importance of the Spatial Density of Satellite Measurements for the Retrieval of Spatial Flux Patterns. AGU Fall Meeting, 2014-12-15 - 2014-12-19, San Francisco. |
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1799475598252310528 |