Merged Statistical Analyses of Historical Monthly Precipitation Anomalies Beginning 1900Source: Journal of Climate:;2010:;volume( 023 ):;issue: 021::page 5755DOI: 10.1175/2010JCLI3530.1Publisher: American Meteorological Society
Abstract: A monthly reconstruction of precipitation beginning in 1900 is presented. The reconstruction resolves interannual and longer time scales and spatial scales larger than 5° over both land and oceans. Because of different land and ocean data availability, the reconstruction combines two separate historical reconstructions. One analyzes interannual variations directly by fitting gauge-based anomalies to large-scale spatial modes. This direct reconstruction is used for land anomalies and interannual oceanic anomalies. The other analyzes annual and longer variations indirectly from correlations with analyzed sea surface temperature and sea level pressure. This indirect reconstruction is used for oceanic variations with time scales longer than interannual. In addition, a method of estimating reconstruction errors is also presented. Over land the reconstruction is a filtered representation of the gauge data with data gaps filled. Over oceans the reconstruction gives an estimate of the atmospheric response to changing temperature and pressure, combined with interannual variations. The reconstruction makes it possible to evaluate global precipitation variations for periods much longer than the satellite period, which begins in 1979. Evaluations show some large-scale similarities with coupled model precipitation variations over the twentieth century, including an increasing tendency over the century. The reconstructed land and sea trends tend to be out of phase at low latitudes, similar to the out-of-phase relationship for interannual variations. This reconstruction may be used for climate monitoring, for statistical climate studies of the twentieth century, and for helping to evaluate dynamic climate models. In the future the possibility of improving the reconstruction will be explored by further improving the analysis methods and including additional data.
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| contributor author | Smith, Thomas M. | |
| contributor author | Arkin, Phillip A. | |
| contributor author | Sapiano, Mathew R. P. | |
| contributor author | Chang, Ching-Yee | |
| date accessioned | 2017-06-09T16:35:28Z | |
| date available | 2017-06-09T16:35:28Z | |
| date copyright | 2010/11/01 | |
| date issued | 2010 | |
| identifier issn | 0894-8755 | |
| identifier other | ams-70552.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4212346 | |
| description abstract | A monthly reconstruction of precipitation beginning in 1900 is presented. The reconstruction resolves interannual and longer time scales and spatial scales larger than 5° over both land and oceans. Because of different land and ocean data availability, the reconstruction combines two separate historical reconstructions. One analyzes interannual variations directly by fitting gauge-based anomalies to large-scale spatial modes. This direct reconstruction is used for land anomalies and interannual oceanic anomalies. The other analyzes annual and longer variations indirectly from correlations with analyzed sea surface temperature and sea level pressure. This indirect reconstruction is used for oceanic variations with time scales longer than interannual. In addition, a method of estimating reconstruction errors is also presented. Over land the reconstruction is a filtered representation of the gauge data with data gaps filled. Over oceans the reconstruction gives an estimate of the atmospheric response to changing temperature and pressure, combined with interannual variations. The reconstruction makes it possible to evaluate global precipitation variations for periods much longer than the satellite period, which begins in 1979. Evaluations show some large-scale similarities with coupled model precipitation variations over the twentieth century, including an increasing tendency over the century. The reconstructed land and sea trends tend to be out of phase at low latitudes, similar to the out-of-phase relationship for interannual variations. This reconstruction may be used for climate monitoring, for statistical climate studies of the twentieth century, and for helping to evaluate dynamic climate models. In the future the possibility of improving the reconstruction will be explored by further improving the analysis methods and including additional data. | |
| publisher | American Meteorological Society | |
| title | Merged Statistical Analyses of Historical Monthly Precipitation Anomalies Beginning 1900 | |
| type | Journal Paper | |
| journal volume | 23 | |
| journal issue | 21 | |
| journal title | Journal of Climate | |
| identifier doi | 10.1175/2010JCLI3530.1 | |
| journal fristpage | 5755 | |
| journal lastpage | 5770 | |
| tree | Journal of Climate:;2010:;volume( 023 ):;issue: 021 | |
| contenttype | Fulltext |