Impacts of land use/cover classification accuracy on regional climate simulations
Land use/cover change has been recognized as a key component in global change. Various land cover data sets, including historically reconstructed, recently observed, and future projected, have been used in numerous climate modeling studies at regional to global scales. However, little attention has...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
American Geophysical Union
2007
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/2176 |
| _version_ | 1855540854007005184 |
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| author | Jianjun, Ge Jiaguo, Qi Lofgren, B.M. Moore, N. Torbick, N.M. Olson, J.M. |
| author_browse | Jiaguo, Qi Jianjun, Ge Lofgren, B.M. Moore, N. Olson, J.M. Torbick, N.M. |
| author_facet | Jianjun, Ge Jiaguo, Qi Lofgren, B.M. Moore, N. Torbick, N.M. Olson, J.M. |
| author_sort | Jianjun, Ge |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Land use/cover change has been recognized as a key component in global change. Various land cover data sets, including historically reconstructed, recently observed, and future projected, have been used in numerous climate modeling studies at regional to global scales. However, little attention has been paid to the effect of land cover classification accuracy on climate simulations, though accuracy assessment has become a routine procedure in land cover production community. In this study, we analyzed the behavior of simulated precipitation in the Regional Atmospheric Modeling System (RAMS) over a range of simulated classification accuracies over a 3 month period. This study found that land cover accuracy under 80% had a strong effect on precipitation especially when the land surface had a greater control of the atmosphere. This effect became stronger as the accuracy decreased. As shown in three follow-on experiments, the effect was further influenced by model parameterizations such as convection schemes and interior nudging, which can mitigate the strength of surface boundary forcings. In reality, land cover accuracy rarely obtains the commonly recommended 85% target. Its effect on climate simulations should therefore be considered, especially when historically reconstructed and future projected land covers are employed. |
| format | Journal Article |
| id | CGSpace2176 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2007 |
| publishDateRange | 2007 |
| publishDateSort | 2007 |
| publisher | American Geophysical Union |
| publisherStr | American Geophysical Union |
| record_format | dspace |
| spelling | CGSpace21762024-05-01T08:19:48Z Impacts of land use/cover classification accuracy on regional climate simulations Jianjun, Ge Jiaguo, Qi Lofgren, B.M. Moore, N. Torbick, N.M. Olson, J.M. climate change land use Land use/cover change has been recognized as a key component in global change. Various land cover data sets, including historically reconstructed, recently observed, and future projected, have been used in numerous climate modeling studies at regional to global scales. However, little attention has been paid to the effect of land cover classification accuracy on climate simulations, though accuracy assessment has become a routine procedure in land cover production community. In this study, we analyzed the behavior of simulated precipitation in the Regional Atmospheric Modeling System (RAMS) over a range of simulated classification accuracies over a 3 month period. This study found that land cover accuracy under 80% had a strong effect on precipitation especially when the land surface had a greater control of the atmosphere. This effect became stronger as the accuracy decreased. As shown in three follow-on experiments, the effect was further influenced by model parameterizations such as convection schemes and interior nudging, which can mitigate the strength of surface boundary forcings. In reality, land cover accuracy rarely obtains the commonly recommended 85% target. Its effect on climate simulations should therefore be considered, especially when historically reconstructed and future projected land covers are employed. 2007-03-10 2010-08-05T07:05:06Z 2010-08-05T07:05:06Z Journal Article https://hdl.handle.net/10568/2176 en Limited Access American Geophysical Union Jiaguo Qi; Lofgren, B.M.; Moore, N.; Torbick, N.; Olson, J.M. 2007. Impacts of land use/cover classification accuracy on regional climate simulations. Journal of Geophysical Research—Atmosphere 112(D5):D05107. |
| spellingShingle | climate change land use Jianjun, Ge Jiaguo, Qi Lofgren, B.M. Moore, N. Torbick, N.M. Olson, J.M. Impacts of land use/cover classification accuracy on regional climate simulations |
| title | Impacts of land use/cover classification accuracy on regional climate simulations |
| title_full | Impacts of land use/cover classification accuracy on regional climate simulations |
| title_fullStr | Impacts of land use/cover classification accuracy on regional climate simulations |
| title_full_unstemmed | Impacts of land use/cover classification accuracy on regional climate simulations |
| title_short | Impacts of land use/cover classification accuracy on regional climate simulations |
| title_sort | impacts of land use cover classification accuracy on regional climate simulations |
| topic | climate change land use |
| url | https://hdl.handle.net/10568/2176 |
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