Understanding the development of systematic errors in the Asian summer monsoon
Despite the importance of monsoon rainfall to over half of the world's population, many climate models of the current generation struggle to capture some of the major features of the various monsoon systems. Studies of the development of errors in several tropical regions have shown that they s...
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Published in | Geoscientific Model Development Vol. 14; no. 2; pp. 1007 - 1035 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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Katlenburg-Lindau
Copernicus GmbH
23.02.2021
Copernicus Publications |
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Abstract | Despite the importance of monsoon rainfall to over half of the world's population, many climate models of the current generation struggle to capture some of the major features of the various monsoon systems. Studies of the development of errors in several tropical regions have shown that they start to develop very quickly, within the first few days of a model simulation, and can then persist to climate timescales. Understanding the sources of such errors requires the combination of various modelling techniques and sensitivity experiments of varying complexity. Here, we demonstrate how such analysis can shed light on the way in which monsoon errors develop, their local and remote drivers and feedbacks. We make use of the seamless modelling approach adopted by the Met Office, whereby different applications of the Met Office Unified Model (MetUM) use essentially the same model configuration (dynamical core and physical parameterisations) across a range of spatial and temporal scales. Using the Asian summer monsoon (ASM) as an example, we show that error patterns in circulation and rainfall over the ASM region in the MetUM are similar between multidecadal climate simulations and seasonal hindcasts initialised in spring. Analysis of the development of these errors on both short-range and seasonal timescales following model initialisation suggests that both the Maritime Continent and the oceans around the Philippines play a role in the development of East Asian summer monsoon errors, with the Indian summer monsoon region providing an additional contribution, while the errors over the Indian summer monsoon region itself appear to arise locally. Regional modelling with various lateral boundary locations helps to separate local and remote contributions to the errors, while regional relaxation experiments shed light on the influence of errors developing within particular areas on the region as a whole. |
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AbstractList | Despite the importance of monsoon rainfall to over half of the world's population, many climate models of the current generation struggle to capture some of the major features of the various monsoon systems. Studies of the development of errors in several tropical regions have shown that they start to develop very quickly, within the first few days of a model simulation, and can then persist to climate timescales. Understanding the sources of such errors requires the combination of various modelling techniques and sensitivity experiments of varying complexity. Here, we demonstrate how such analysis can shed light on the way in which monsoon errors develop, their local and remote drivers and feedbacks. We make use of the seamless modelling approach adopted by the Met Office, whereby different applications of the Met Office Unified Model (MetUM) use essentially the same model configuration (dynamical core and physical parameterisations) across a range of spatial and temporal scales. Using the Asian summer monsoon (ASM) as an example, we show that error patterns in circulation and rainfall over the ASM region in the MetUM are similar between multidecadal climate simulations and seasonal hindcasts initialised in spring. Analysis of the development of these errors on both short-range and seasonal timescales following model initialisation suggests that both the Maritime Continent and the oceans around the Philippines play a role in the development of East Asian summer monsoon errors, with the Indian summer monsoon region providing an additional contribution, while the errors over the Indian summer monsoon region itself appear to arise locally. Regional modelling with various lateral boundary locations helps to separate local and remote contributions to the errors, while regional relaxation experiments shed light on the influence of errors developing within particular areas on the region as a whole. Despite the importance of monsoon rainfall to over half of the world's population, many climate models of the current generation struggle to capture some of the major features of the various monsoon systems. Studies of the development of errors in several tropical regions have shown that they start to develop very quickly, within the first few days of a model simulation, and can then persist to climate timescales. Understanding the sources of such errors requires the combination of various modelling techniques and sensitivity experiments of varying complexity. Here, we demonstrate how such analysis can shed light on the way in which monsoon errors develop, their local and remote drivers and feedbacks. We make use of the seamless modelling approach adopted by the Met Office, whereby different applications of the Met Office Unified Model (MetUM) use essentially the same model configuration (dynamical core and physical parameterisations) across a range of spatial and temporal scales. Using the Asian summer monsoon (ASM) as an example, we show that error patterns in circulation and rainfall over the ASM region in the MetUM are similar between multidecadal climate simulations and seasonal hindcasts initialised in spring. Analysis of the development of these errors on both short-range and seasonal timescales following model initialisation suggests that both the Maritime Continent and the oceans around the Philippines play a role in the development of East Asian summer monsoon errors, with the Indian summer monsoon region providing an additional contribution, while the errors over the Indian summer monsoon region itself appear to arise locally. Regional modelling with various lateral boundary locations helps to separate local and remote contributions to the errors, while regional relaxation experiments shed light on the influence of errors developing within particular areas on the region as a whole. |
Audience | Academic |
Author | Martin, Gill M Levine, Richard C Rodriguez, José M Vellinga, Michael |
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Cites_doi | 10.5194/gmd-8-2221-2015 10.1175/2769.1 10.1007/s00382-014-2051-6 10.1175/2007JCLI1824.1 10.5194/gmd-8-1509-2015 10.1002/qj.49711649304 10.1002/qj.828 10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2 10.1175/JCLI-D-15-0649.1 10.1007/978-90-481-2915-7_1 10.1002/qj.2396 10.1175/JCLI-D-19-0513.1 10.1111/j.1600-0870.2005.00135.x 10.1007/s00703-005-0125-z 10.1007/s13351-020-0055-1 10.1007/s00382-017-3900-x 10.1175/JCLI3713.1 10.5194/gmd-4-677-2011 10.1007/s00382-012-1429-6 10.1007/s00382-011-1096-z 10.1002/qj.2371 10.1038/43854 10.1007/s00382-016-3151-2 10.1175/2011JCLI4001.1 10.1175/JCLI-D-18-0650.1 10.1007/s00382-012-1607-6 10.5194/gmd-12-1909-2019 10.1007/s00382-017-3962-9 10.1175/2009BAMS2752.1 10.1175/JCLI-D-18-0623.1 10.1007/s00382-015-2614-1 10.1175/JCLI-D-18-0164.1 10.1002/qj.394 10.1175/JCLI-D-19-0040.1 10.5194/gmd-7-1069-2014 10.1175/WAF-D-20-0035.1 10.1175/2932.1 10.1002/2016JD025460 10.5194/gmd-10-1487-2017 10.1007/s11430-017-9171-8 10.1088/1748-9326/8/1/014028 10.1175/JCLI-D-15-0105.1 10.1175/2010JCLI3541.1 10.1007/s00382-019-04717-0 10.1007/s00376-019-9051-8 10.1007/s00382-006-0223-8 10.1007/s00382-012-1656-x 10.1175/JCLI-D-16-0844.1 10.1007/s00382-015-2565-6 10.1002/2017MS001115 10.1002/qj.23 10.5194/gmd-7-2613-2014 10.1002/qj.2388 10.1175/BAMS-85-12-1903 10.3390/atmos10080457 10.1175/2008JCLI2183.1 |
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Snippet | Despite the importance of monsoon rainfall to over half
of the world's population, many climate models of the current generation
struggle to capture some of... Despite the importance of monsoon rainfall to over half of the world's population, many climate models of the current generation struggle to capture some of... |
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SubjectTerms | Aerosols Atmosphere Climate Climate and population Climate models East Asian monsoon Errors Experiments Greenhouse gases Modelling Monsoon rainfall Monsoons Oceans Rain Rain and rainfall Rainfall Regional development Regions Simulation Summer Summer monsoon Systematic errors Tropical climate Tropical environment Tropical environments Wind |
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Title | Understanding the development of systematic errors in the Asian summer monsoon |
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