Precipitation, Recycling, and Land Memory: An Integrated Analysis
A synthesis of several approaches to quantifying land–atmosphere interactions is presented. These approaches use data from observations or atmospheric reanalyses applied to atmospheric tracer models and stand-alone land surface schemes. None of these approaches relies on the results of general circu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | en_US |
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American Meteorological Society
2010
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| Online Access: | http://hdl.handle.net/1721.1/52326 |
| _version_ | 1811089664485883904 |
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| author | Dirmeyer, Paul A. Schlosser, Adam Brubaker, Kaye L. |
| author2 | Massachusetts Institute of Technology. Center for Global Change Science |
| author_facet | Massachusetts Institute of Technology. Center for Global Change Science Dirmeyer, Paul A. Schlosser, Adam Brubaker, Kaye L. |
| author_sort | Dirmeyer, Paul A. |
| collection | MIT |
| description | A synthesis of several approaches to quantifying land–atmosphere interactions is presented. These approaches use data from observations or atmospheric reanalyses applied to atmospheric tracer models and stand-alone land surface schemes. None of these approaches relies on the results of general circulation model simulations. A high degree of correlation is found among these independent approaches, and constructed here is a composite assessment of global land–atmosphere feedback strength as a function of season. The composite combines the characteristics of persistence of soil moisture anomalies, strong soil moisture regulation of evaporation rates, and reinforcement of water cycle anomalies through recycling. The regions and seasons that have a strong composite signal predominate in both summer and winter monsoon regions in the period after the rainy season wanes. However, there are exceptions to this pattern, most notably over the Great Plains of North America and the Pampas/Pantanal of South America, where there are signs of land–atmosphere feedback throughout most of the year. Soil moisture memory in many of these regions is long enough to suggest that real-time monitoring and accurate initialization of the land surface in forecast models could lead to improvements in medium-range weather to subseasonal climate forecasts. |
| first_indexed | 2024-09-23T14:22:48Z |
| format | Article |
| id | mit-1721.1/52326 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:22:48Z |
| publishDate | 2010 |
| publisher | American Meteorological Society |
| record_format | dspace |
| spelling | mit-1721.1/523262022-10-01T20:55:30Z Precipitation, Recycling, and Land Memory: An Integrated Analysis Dirmeyer, Paul A. Schlosser, Adam Brubaker, Kaye L. Massachusetts Institute of Technology. Center for Global Change Science Schlosser, Adam Schlosser, Adam A synthesis of several approaches to quantifying land–atmosphere interactions is presented. These approaches use data from observations or atmospheric reanalyses applied to atmospheric tracer models and stand-alone land surface schemes. None of these approaches relies on the results of general circulation model simulations. A high degree of correlation is found among these independent approaches, and constructed here is a composite assessment of global land–atmosphere feedback strength as a function of season. The composite combines the characteristics of persistence of soil moisture anomalies, strong soil moisture regulation of evaporation rates, and reinforcement of water cycle anomalies through recycling. The regions and seasons that have a strong composite signal predominate in both summer and winter monsoon regions in the period after the rainy season wanes. However, there are exceptions to this pattern, most notably over the Great Plains of North America and the Pampas/Pantanal of South America, where there are signs of land–atmosphere feedback throughout most of the year. Soil moisture memory in many of these regions is long enough to suggest that real-time monitoring and accurate initialization of the land surface in forecast models could lead to improvements in medium-range weather to subseasonal climate forecasts. 2010-03-05T14:02:31Z 2010-03-05T14:02:31Z 2008-07 2008-02 Article http://purl.org/eprint/type/JournalArticle 1525-755X http://hdl.handle.net/1721.1/52326 Dirmeyer, Paul A, C. Adam Schlosser, and Kaye L Brubaker. “Precipitation, Recycling, and Land Memory: An Integrated Analysis.” Journal of Hydrometeorology (2009): 278-288. © 2008 American Meteorological Society en_US http://dx.doi.org/10.1175/2008JHM1016.1 Journal of Hydrometeorology Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Meteorological Society American Meteorological Society |
| spellingShingle | Dirmeyer, Paul A. Schlosser, Adam Brubaker, Kaye L. Precipitation, Recycling, and Land Memory: An Integrated Analysis |
| title | Precipitation, Recycling, and Land Memory: An Integrated Analysis |
| title_full | Precipitation, Recycling, and Land Memory: An Integrated Analysis |
| title_fullStr | Precipitation, Recycling, and Land Memory: An Integrated Analysis |
| title_full_unstemmed | Precipitation, Recycling, and Land Memory: An Integrated Analysis |
| title_short | Precipitation, Recycling, and Land Memory: An Integrated Analysis |
| title_sort | precipitation recycling and land memory an integrated analysis |
| url | http://hdl.handle.net/1721.1/52326 |
| work_keys_str_mv | AT dirmeyerpaula precipitationrecyclingandlandmemoryanintegratedanalysis AT schlosseradam precipitationrecyclingandlandmemoryanintegratedanalysis AT brubakerkayel precipitationrecyclingandlandmemoryanintegratedanalysis |