High‐resolution modeling of atmospheric dynamics in the Nepalese Himalaya
High‐altitude meteorological processes in the Himalaya are influenced by complex interactions between the topography and the monsoon and westerly circulation systems. In this study, we use the Weather Research and Forecasting model configured with high spatial resolution to understand seasonal patte...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Collier, Emily [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Rechteinformationen: |
Nutzungsrecht: © 2015. The Authors. |
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| Schlagwörter: |
high‐resolution atmospheric modeling |
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| Übergeordnetes Werk: |
Enthalten in: Journal of geophysical research / D - Washington, DC : Union, 1984, 120(2015), 19, Seite 9882-9896 |
|---|---|
| Übergeordnetes Werk: |
volume:120 ; year:2015 ; number:19 ; pages:9882-9896 |
| Links: |
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| DOI / URN: |
10.1002/2015JD023266 |
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| 520 | |a High‐altitude meteorological processes in the Himalaya are influenced by complex interactions between the topography and the monsoon and westerly circulation systems. In this study, we use the Weather Research and Forecasting model configured with high spatial resolution to understand seasonal patterns of near‐surface meteorological fields and precipitation processes in the Langtang catchment in the central Himalaya. Using a unique high‐altitude observational network, we evaluate a simulation from 17 June 2012 to 16 June 2013 and conclude that, at 1 km horizontal grid spacing, the model captures the main features of observed meteorological variability in the catchment. The finer representation of the complex terrain and explicit simulation of convection at this grid spacing give strong improvements in near‐surface air temperature and small improvements in precipitation, in particular in the magnitudes of daytime convective precipitation and at higher elevations. The seasonal differences are noteworthy, including a reversal in the vertical and along‐valley distributions of precipitation between the monsoon and winter seasons, with peak values simulated at lower altitudes (~3000 m above sea level (asl)) and in the upper regions (above 5000 m asl) in each season, respectively. We conclude that there is great potential for improving the local accuracy of climate change impact studies in the Himalaya by using high‐resolution atmospheric models to generate the forcing for such studies. Near‐kilometer grid spacing best resolves catchment‐scale meteorological variability Different processes drive seasonal reversal in vertical gradient of precipitation Forcing from high‐resolution models can potentially improve the local accuracy of impact studies | ||
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| 650 | 4 | |a temperature lapse rates and precipitation gradients | |
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10.1002/2015JD023266 doi PQ20160617 (DE-627)OLC195705428X (DE-599)GBVOLC195705428X (PRQ)p1848-bce153b0a67105023b9c5dba09c908c88576bd1f4c815882bb6f69e8a84d3260 (KEY)0137985220150000120001909882highresolutionmodelingofatmosphericdynamicsinthene DE-627 ger DE-627 rakwb eng 550 DNB Collier, Emily verfasserin aut High‐resolution modeling of atmospheric dynamics in the Nepalese Himalaya 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier High‐altitude meteorological processes in the Himalaya are influenced by complex interactions between the topography and the monsoon and westerly circulation systems. In this study, we use the Weather Research and Forecasting model configured with high spatial resolution to understand seasonal patterns of near‐surface meteorological fields and precipitation processes in the Langtang catchment in the central Himalaya. Using a unique high‐altitude observational network, we evaluate a simulation from 17 June 2012 to 16 June 2013 and conclude that, at 1 km horizontal grid spacing, the model captures the main features of observed meteorological variability in the catchment. The finer representation of the complex terrain and explicit simulation of convection at this grid spacing give strong improvements in near‐surface air temperature and small improvements in precipitation, in particular in the magnitudes of daytime convective precipitation and at higher elevations. The seasonal differences are noteworthy, including a reversal in the vertical and along‐valley distributions of precipitation between the monsoon and winter seasons, with peak values simulated at lower altitudes (~3000 m above sea level (asl)) and in the upper regions (above 5000 m asl) in each season, respectively. We conclude that there is great potential for improving the local accuracy of climate change impact studies in the Himalaya by using high‐resolution atmospheric models to generate the forcing for such studies. Near‐kilometer grid spacing best resolves catchment‐scale meteorological variability Different processes drive seasonal reversal in vertical gradient of precipitation Forcing from high‐resolution models can potentially improve the local accuracy of impact studies Nutzungsrecht: © 2015. The Authors. high‐resolution atmospheric modeling WRF model Himalayan meteorology temperature lapse rates and precipitation gradients Meteorology Studies Precipitation Immerzeel, Walter W oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 120(2015), 19, Seite 9882-9896 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:120 year:2015 number:19 pages:9882-9896 http://dx.doi.org/10.1002/2015JD023266 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD023266/abstract http://search.proquest.com/docview/1726468276 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 120 2015 19 9882-9896 |
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10.1002/2015JD023266 doi PQ20160617 (DE-627)OLC195705428X (DE-599)GBVOLC195705428X (PRQ)p1848-bce153b0a67105023b9c5dba09c908c88576bd1f4c815882bb6f69e8a84d3260 (KEY)0137985220150000120001909882highresolutionmodelingofatmosphericdynamicsinthene DE-627 ger DE-627 rakwb eng 550 DNB Collier, Emily verfasserin aut High‐resolution modeling of atmospheric dynamics in the Nepalese Himalaya 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier High‐altitude meteorological processes in the Himalaya are influenced by complex interactions between the topography and the monsoon and westerly circulation systems. In this study, we use the Weather Research and Forecasting model configured with high spatial resolution to understand seasonal patterns of near‐surface meteorological fields and precipitation processes in the Langtang catchment in the central Himalaya. Using a unique high‐altitude observational network, we evaluate a simulation from 17 June 2012 to 16 June 2013 and conclude that, at 1 km horizontal grid spacing, the model captures the main features of observed meteorological variability in the catchment. The finer representation of the complex terrain and explicit simulation of convection at this grid spacing give strong improvements in near‐surface air temperature and small improvements in precipitation, in particular in the magnitudes of daytime convective precipitation and at higher elevations. The seasonal differences are noteworthy, including a reversal in the vertical and along‐valley distributions of precipitation between the monsoon and winter seasons, with peak values simulated at lower altitudes (~3000 m above sea level (asl)) and in the upper regions (above 5000 m asl) in each season, respectively. We conclude that there is great potential for improving the local accuracy of climate change impact studies in the Himalaya by using high‐resolution atmospheric models to generate the forcing for such studies. Near‐kilometer grid spacing best resolves catchment‐scale meteorological variability Different processes drive seasonal reversal in vertical gradient of precipitation Forcing from high‐resolution models can potentially improve the local accuracy of impact studies Nutzungsrecht: © 2015. The Authors. high‐resolution atmospheric modeling WRF model Himalayan meteorology temperature lapse rates and precipitation gradients Meteorology Studies Precipitation Immerzeel, Walter W oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 120(2015), 19, Seite 9882-9896 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:120 year:2015 number:19 pages:9882-9896 http://dx.doi.org/10.1002/2015JD023266 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD023266/abstract http://search.proquest.com/docview/1726468276 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 120 2015 19 9882-9896 |
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10.1002/2015JD023266 doi PQ20160617 (DE-627)OLC195705428X (DE-599)GBVOLC195705428X (PRQ)p1848-bce153b0a67105023b9c5dba09c908c88576bd1f4c815882bb6f69e8a84d3260 (KEY)0137985220150000120001909882highresolutionmodelingofatmosphericdynamicsinthene DE-627 ger DE-627 rakwb eng 550 DNB Collier, Emily verfasserin aut High‐resolution modeling of atmospheric dynamics in the Nepalese Himalaya 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier High‐altitude meteorological processes in the Himalaya are influenced by complex interactions between the topography and the monsoon and westerly circulation systems. In this study, we use the Weather Research and Forecasting model configured with high spatial resolution to understand seasonal patterns of near‐surface meteorological fields and precipitation processes in the Langtang catchment in the central Himalaya. Using a unique high‐altitude observational network, we evaluate a simulation from 17 June 2012 to 16 June 2013 and conclude that, at 1 km horizontal grid spacing, the model captures the main features of observed meteorological variability in the catchment. The finer representation of the complex terrain and explicit simulation of convection at this grid spacing give strong improvements in near‐surface air temperature and small improvements in precipitation, in particular in the magnitudes of daytime convective precipitation and at higher elevations. The seasonal differences are noteworthy, including a reversal in the vertical and along‐valley distributions of precipitation between the monsoon and winter seasons, with peak values simulated at lower altitudes (~3000 m above sea level (asl)) and in the upper regions (above 5000 m asl) in each season, respectively. We conclude that there is great potential for improving the local accuracy of climate change impact studies in the Himalaya by using high‐resolution atmospheric models to generate the forcing for such studies. Near‐kilometer grid spacing best resolves catchment‐scale meteorological variability Different processes drive seasonal reversal in vertical gradient of precipitation Forcing from high‐resolution models can potentially improve the local accuracy of impact studies Nutzungsrecht: © 2015. The Authors. high‐resolution atmospheric modeling WRF model Himalayan meteorology temperature lapse rates and precipitation gradients Meteorology Studies Precipitation Immerzeel, Walter W oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 120(2015), 19, Seite 9882-9896 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:120 year:2015 number:19 pages:9882-9896 http://dx.doi.org/10.1002/2015JD023266 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD023266/abstract http://search.proquest.com/docview/1726468276 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 120 2015 19 9882-9896 |
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10.1002/2015JD023266 doi PQ20160617 (DE-627)OLC195705428X (DE-599)GBVOLC195705428X (PRQ)p1848-bce153b0a67105023b9c5dba09c908c88576bd1f4c815882bb6f69e8a84d3260 (KEY)0137985220150000120001909882highresolutionmodelingofatmosphericdynamicsinthene DE-627 ger DE-627 rakwb eng 550 DNB Collier, Emily verfasserin aut High‐resolution modeling of atmospheric dynamics in the Nepalese Himalaya 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier High‐altitude meteorological processes in the Himalaya are influenced by complex interactions between the topography and the monsoon and westerly circulation systems. In this study, we use the Weather Research and Forecasting model configured with high spatial resolution to understand seasonal patterns of near‐surface meteorological fields and precipitation processes in the Langtang catchment in the central Himalaya. Using a unique high‐altitude observational network, we evaluate a simulation from 17 June 2012 to 16 June 2013 and conclude that, at 1 km horizontal grid spacing, the model captures the main features of observed meteorological variability in the catchment. The finer representation of the complex terrain and explicit simulation of convection at this grid spacing give strong improvements in near‐surface air temperature and small improvements in precipitation, in particular in the magnitudes of daytime convective precipitation and at higher elevations. The seasonal differences are noteworthy, including a reversal in the vertical and along‐valley distributions of precipitation between the monsoon and winter seasons, with peak values simulated at lower altitudes (~3000 m above sea level (asl)) and in the upper regions (above 5000 m asl) in each season, respectively. We conclude that there is great potential for improving the local accuracy of climate change impact studies in the Himalaya by using high‐resolution atmospheric models to generate the forcing for such studies. Near‐kilometer grid spacing best resolves catchment‐scale meteorological variability Different processes drive seasonal reversal in vertical gradient of precipitation Forcing from high‐resolution models can potentially improve the local accuracy of impact studies Nutzungsrecht: © 2015. The Authors. high‐resolution atmospheric modeling WRF model Himalayan meteorology temperature lapse rates and precipitation gradients Meteorology Studies Precipitation Immerzeel, Walter W oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 120(2015), 19, Seite 9882-9896 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:120 year:2015 number:19 pages:9882-9896 http://dx.doi.org/10.1002/2015JD023266 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD023266/abstract http://search.proquest.com/docview/1726468276 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 120 2015 19 9882-9896 |
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10.1002/2015JD023266 doi PQ20160617 (DE-627)OLC195705428X (DE-599)GBVOLC195705428X (PRQ)p1848-bce153b0a67105023b9c5dba09c908c88576bd1f4c815882bb6f69e8a84d3260 (KEY)0137985220150000120001909882highresolutionmodelingofatmosphericdynamicsinthene DE-627 ger DE-627 rakwb eng 550 DNB Collier, Emily verfasserin aut High‐resolution modeling of atmospheric dynamics in the Nepalese Himalaya 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier High‐altitude meteorological processes in the Himalaya are influenced by complex interactions between the topography and the monsoon and westerly circulation systems. In this study, we use the Weather Research and Forecasting model configured with high spatial resolution to understand seasonal patterns of near‐surface meteorological fields and precipitation processes in the Langtang catchment in the central Himalaya. Using a unique high‐altitude observational network, we evaluate a simulation from 17 June 2012 to 16 June 2013 and conclude that, at 1 km horizontal grid spacing, the model captures the main features of observed meteorological variability in the catchment. The finer representation of the complex terrain and explicit simulation of convection at this grid spacing give strong improvements in near‐surface air temperature and small improvements in precipitation, in particular in the magnitudes of daytime convective precipitation and at higher elevations. The seasonal differences are noteworthy, including a reversal in the vertical and along‐valley distributions of precipitation between the monsoon and winter seasons, with peak values simulated at lower altitudes (~3000 m above sea level (asl)) and in the upper regions (above 5000 m asl) in each season, respectively. We conclude that there is great potential for improving the local accuracy of climate change impact studies in the Himalaya by using high‐resolution atmospheric models to generate the forcing for such studies. Near‐kilometer grid spacing best resolves catchment‐scale meteorological variability Different processes drive seasonal reversal in vertical gradient of precipitation Forcing from high‐resolution models can potentially improve the local accuracy of impact studies Nutzungsrecht: © 2015. The Authors. high‐resolution atmospheric modeling WRF model Himalayan meteorology temperature lapse rates and precipitation gradients Meteorology Studies Precipitation Immerzeel, Walter W oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 120(2015), 19, Seite 9882-9896 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:120 year:2015 number:19 pages:9882-9896 http://dx.doi.org/10.1002/2015JD023266 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD023266/abstract http://search.proquest.com/docview/1726468276 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 120 2015 19 9882-9896 |
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High‐resolution modeling of atmospheric dynamics in the Nepalese Himalaya |
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High‐altitude meteorological processes in the Himalaya are influenced by complex interactions between the topography and the monsoon and westerly circulation systems. In this study, we use the Weather Research and Forecasting model configured with high spatial resolution to understand seasonal patterns of near‐surface meteorological fields and precipitation processes in the Langtang catchment in the central Himalaya. Using a unique high‐altitude observational network, we evaluate a simulation from 17 June 2012 to 16 June 2013 and conclude that, at 1 km horizontal grid spacing, the model captures the main features of observed meteorological variability in the catchment. The finer representation of the complex terrain and explicit simulation of convection at this grid spacing give strong improvements in near‐surface air temperature and small improvements in precipitation, in particular in the magnitudes of daytime convective precipitation and at higher elevations. The seasonal differences are noteworthy, including a reversal in the vertical and along‐valley distributions of precipitation between the monsoon and winter seasons, with peak values simulated at lower altitudes (~3000 m above sea level (asl)) and in the upper regions (above 5000 m asl) in each season, respectively. We conclude that there is great potential for improving the local accuracy of climate change impact studies in the Himalaya by using high‐resolution atmospheric models to generate the forcing for such studies. Near‐kilometer grid spacing best resolves catchment‐scale meteorological variability Different processes drive seasonal reversal in vertical gradient of precipitation Forcing from high‐resolution models can potentially improve the local accuracy of impact studies |
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High‐altitude meteorological processes in the Himalaya are influenced by complex interactions between the topography and the monsoon and westerly circulation systems. In this study, we use the Weather Research and Forecasting model configured with high spatial resolution to understand seasonal patterns of near‐surface meteorological fields and precipitation processes in the Langtang catchment in the central Himalaya. Using a unique high‐altitude observational network, we evaluate a simulation from 17 June 2012 to 16 June 2013 and conclude that, at 1 km horizontal grid spacing, the model captures the main features of observed meteorological variability in the catchment. The finer representation of the complex terrain and explicit simulation of convection at this grid spacing give strong improvements in near‐surface air temperature and small improvements in precipitation, in particular in the magnitudes of daytime convective precipitation and at higher elevations. The seasonal differences are noteworthy, including a reversal in the vertical and along‐valley distributions of precipitation between the monsoon and winter seasons, with peak values simulated at lower altitudes (~3000 m above sea level (asl)) and in the upper regions (above 5000 m asl) in each season, respectively. We conclude that there is great potential for improving the local accuracy of climate change impact studies in the Himalaya by using high‐resolution atmospheric models to generate the forcing for such studies. Near‐kilometer grid spacing best resolves catchment‐scale meteorological variability Different processes drive seasonal reversal in vertical gradient of precipitation Forcing from high‐resolution models can potentially improve the local accuracy of impact studies |
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High‐altitude meteorological processes in the Himalaya are influenced by complex interactions between the topography and the monsoon and westerly circulation systems. In this study, we use the Weather Research and Forecasting model configured with high spatial resolution to understand seasonal patterns of near‐surface meteorological fields and precipitation processes in the Langtang catchment in the central Himalaya. Using a unique high‐altitude observational network, we evaluate a simulation from 17 June 2012 to 16 June 2013 and conclude that, at 1 km horizontal grid spacing, the model captures the main features of observed meteorological variability in the catchment. The finer representation of the complex terrain and explicit simulation of convection at this grid spacing give strong improvements in near‐surface air temperature and small improvements in precipitation, in particular in the magnitudes of daytime convective precipitation and at higher elevations. The seasonal differences are noteworthy, including a reversal in the vertical and along‐valley distributions of precipitation between the monsoon and winter seasons, with peak values simulated at lower altitudes (~3000 m above sea level (asl)) and in the upper regions (above 5000 m asl) in each season, respectively. We conclude that there is great potential for improving the local accuracy of climate change impact studies in the Himalaya by using high‐resolution atmospheric models to generate the forcing for such studies. Near‐kilometer grid spacing best resolves catchment‐scale meteorological variability Different processes drive seasonal reversal in vertical gradient of precipitation Forcing from high‐resolution models can potentially improve the local accuracy of impact studies |
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