Effects of multilayer snow scheme on the simulation of snow: Offline Noah and coupled with NCEP CFSv2
Abstract The Noah version 2.7.1 is a moderately complex land surface model (LSM), with a single layer snowpack, combined with vegetation and underlying soil layer. Many previous studies have pointed out biases in the simulation of snow, which may hinder the skill of a forecasting system coupled with...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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American Geophysical Union (AGU)
2017-03-01
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| Series: | Journal of Advances in Modeling Earth Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/2016MS000845 |
| _version_ | 1797735996553428992 |
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| author | Subodh Kumar Saha K. Sujith Samir Pokhrel Hemantkumar S. Chaudhari Anupam Hazra |
| author_facet | Subodh Kumar Saha K. Sujith Samir Pokhrel Hemantkumar S. Chaudhari Anupam Hazra |
| author_sort | Subodh Kumar Saha |
| collection | DOAJ |
| description | Abstract The Noah version 2.7.1 is a moderately complex land surface model (LSM), with a single layer snowpack, combined with vegetation and underlying soil layer. Many previous studies have pointed out biases in the simulation of snow, which may hinder the skill of a forecasting system coupled with the Noah. In order to improve the simulation of snow by the Noah, a multilayer snow scheme (up to a maximum of six layers) is introduced. As Noah is the land surface component of the Climate Forecast System version 2 (CFSv2) of the National Centers for Environmental Prediction (NCEP), the modified Noah is also coupled with the CFSv2. The offline LSM shows large improvements in the simulation of snow depth, snow water equivalent (SWE), and snow cover area during snow season (October to June). CFSv2 with the modified Noah reveals a dramatic improvements in the simulation of snow depth and 2 m air temperature and moderate improvements in SWE. As suggested in the previous diagnostic and sensitivity study, improvements in the simulation of snow by CFSv2 have lead to the reduction in dry bias over the Indian subcontinent (by a maximum of 2 mm d−1). The multilayer snow scheme shows promising results in the simulation of snow as well as Indian summer monsoon rainfall and hence this development may be the part of the future version of the CFS. |
| first_indexed | 2024-03-12T13:07:10Z |
| format | Article |
| id | doaj.art-3ba13d14ea284392a294c9d826a0b1b3 |
| institution | Directory Open Access Journal |
| issn | 1942-2466 |
| language | English |
| last_indexed | 2024-03-12T13:07:10Z |
| publishDate | 2017-03-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Journal of Advances in Modeling Earth Systems |
| spelling | doaj.art-3ba13d14ea284392a294c9d826a0b1b32023-08-28T13:36:50ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662017-03-019127129010.1002/2016MS000845Effects of multilayer snow scheme on the simulation of snow: Offline Noah and coupled with NCEP CFSv2Subodh Kumar Saha0K. Sujith1Samir Pokhrel2Hemantkumar S. Chaudhari3Anupam Hazra4Indian Institute of Tropical MeteorologyPune IndiaIndian Institute of Tropical MeteorologyPune IndiaIndian Institute of Tropical MeteorologyPune IndiaIndian Institute of Tropical MeteorologyPune IndiaIndian Institute of Tropical MeteorologyPune IndiaAbstract The Noah version 2.7.1 is a moderately complex land surface model (LSM), with a single layer snowpack, combined with vegetation and underlying soil layer. Many previous studies have pointed out biases in the simulation of snow, which may hinder the skill of a forecasting system coupled with the Noah. In order to improve the simulation of snow by the Noah, a multilayer snow scheme (up to a maximum of six layers) is introduced. As Noah is the land surface component of the Climate Forecast System version 2 (CFSv2) of the National Centers for Environmental Prediction (NCEP), the modified Noah is also coupled with the CFSv2. The offline LSM shows large improvements in the simulation of snow depth, snow water equivalent (SWE), and snow cover area during snow season (October to June). CFSv2 with the modified Noah reveals a dramatic improvements in the simulation of snow depth and 2 m air temperature and moderate improvements in SWE. As suggested in the previous diagnostic and sensitivity study, improvements in the simulation of snow by CFSv2 have lead to the reduction in dry bias over the Indian subcontinent (by a maximum of 2 mm d−1). The multilayer snow scheme shows promising results in the simulation of snow as well as Indian summer monsoon rainfall and hence this development may be the part of the future version of the CFS.https://doi.org/10.1002/2016MS000845NoahCFSv2snowISMRLSM |
| spellingShingle | Subodh Kumar Saha K. Sujith Samir Pokhrel Hemantkumar S. Chaudhari Anupam Hazra Effects of multilayer snow scheme on the simulation of snow: Offline Noah and coupled with NCEP CFSv2 Journal of Advances in Modeling Earth Systems Noah CFSv2 snow ISMR LSM |
| title | Effects of multilayer snow scheme on the simulation of snow: Offline Noah and coupled with NCEP CFSv2 |
| title_full | Effects of multilayer snow scheme on the simulation of snow: Offline Noah and coupled with NCEP CFSv2 |
| title_fullStr | Effects of multilayer snow scheme on the simulation of snow: Offline Noah and coupled with NCEP CFSv2 |
| title_full_unstemmed | Effects of multilayer snow scheme on the simulation of snow: Offline Noah and coupled with NCEP CFSv2 |
| title_short | Effects of multilayer snow scheme on the simulation of snow: Offline Noah and coupled with NCEP CFSv2 |
| title_sort | effects of multilayer snow scheme on the simulation of snow offline noah and coupled with ncep cfsv2 |
| topic | Noah CFSv2 snow ISMR LSM |
| url | https://doi.org/10.1002/2016MS000845 |
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