Simulated cold bias being improved by using MODIS time-varying albedo in the Tibetan Plateau in WRF model
X Meng, S Lyu, T Zhang, L Zhao, Z Li, B Han, S Li, D Ma, H Chen, Y Ao, S Luo, Y Shen, J Guo and L Wen
Institute of Physics (IOP)
Published 2018
Institute of Physics (IOP)
Published 2018
| Publication Date: |
2018-04-07
|
|---|---|
| Publisher: |
Institute of Physics (IOP)
|
| Print ISSN: |
1748-9318
|
| Electronic ISSN: |
1748-9326
|
| Topics: |
Biology
Energy, Environment Protection, Nuclear Power Engineering
|
| Published by: |
| _version_ | 1836398880649904130 |
|---|---|
| autor | X Meng, S Lyu, T Zhang, L Zhao, Z Li, B Han, S Li, D Ma, H Chen, Y Ao, S Luo, Y Shen, J Guo and L Wen |
| beschreibung | Systematic cold biases exist in the simulation for 2 m air temperature in the Tibetan Plateau (TP) when using regional climate models and global atmospheric general circulation models. We updated the albedo in the Weather Research and Forecasting (WRF) Model lower boundary condition using the Global LAnd Surface Satellite Moderate-Resolution Imaging Spectroradiometer albedo products and demonstrated evident improvement for cold temperature biases in the TP. It is the large overestimation of albedo in winter and spring in the WRF model that resulted in the large cold temperature biases. The overestimated albedo was caused by the simulated precipitation biases and over-parameterization of snow albedo. Furthermore, light-absorbing aerosols can result in a large reduction of albedo in snow and ice cover. The results suggest the necessity of developing snow albedo parameterization using observations in the TP, where snow cover and melting are very different from other low-elevation r... |
| citation_standardnr | 6227992 |
| datenlieferant | ipn_articles |
| feed_id | 84236 |
| feed_publisher | Institute of Physics (IOP) |
| feed_publisher_url | http://www.iop.org/ |
| insertion_date | 2018-04-07 |
| journaleissn | 1748-9326 |
| journalissn | 1748-9318 |
| publikationsjahr_anzeige | 2018 |
| publikationsjahr_facette | 2018 |
| publikationsjahr_intervall | 7984:2015-2019 |
| publikationsjahr_sort | 2018 |
| publisher | Institute of Physics (IOP) |
| quelle | Environmental Research Letters |
| relation | http://iopscience.iop.org/1748-9326/13/4/044028 |
| search_space | articles |
| shingle_author_1 | X Meng, S Lyu, T Zhang, L Zhao, Z Li, B Han, S Li, D Ma, H Chen, Y Ao, S Luo, Y Shen, J Guo and L Wen |
| shingle_author_2 | X Meng, S Lyu, T Zhang, L Zhao, Z Li, B Han, S Li, D Ma, H Chen, Y Ao, S Luo, Y Shen, J Guo and L Wen |
| shingle_author_3 | X Meng, S Lyu, T Zhang, L Zhao, Z Li, B Han, S Li, D Ma, H Chen, Y Ao, S Luo, Y Shen, J Guo and L Wen |
| shingle_author_4 | X Meng, S Lyu, T Zhang, L Zhao, Z Li, B Han, S Li, D Ma, H Chen, Y Ao, S Luo, Y Shen, J Guo and L Wen |
| shingle_catch_all_1 | Simulated cold bias being improved by using MODIS time-varying albedo in the Tibetan Plateau in WRF model Systematic cold biases exist in the simulation for 2 m air temperature in the Tibetan Plateau (TP) when using regional climate models and global atmospheric general circulation models. We updated the albedo in the Weather Research and Forecasting (WRF) Model lower boundary condition using the Global LAnd Surface Satellite Moderate-Resolution Imaging Spectroradiometer albedo products and demonstrated evident improvement for cold temperature biases in the TP. It is the large overestimation of albedo in winter and spring in the WRF model that resulted in the large cold temperature biases. The overestimated albedo was caused by the simulated precipitation biases and over-parameterization of snow albedo. Furthermore, light-absorbing aerosols can result in a large reduction of albedo in snow and ice cover. The results suggest the necessity of developing snow albedo parameterization using observations in the TP, where snow cover and melting are very different from other low-elevation r... X Meng, S Lyu, T Zhang, L Zhao, Z Li, B Han, S Li, D Ma, H Chen, Y Ao, S Luo, Y Shen, J Guo and L Wen Institute of Physics (IOP) 1748-9318 17489318 1748-9326 17489326 |
| shingle_catch_all_2 | Simulated cold bias being improved by using MODIS time-varying albedo in the Tibetan Plateau in WRF model Systematic cold biases exist in the simulation for 2 m air temperature in the Tibetan Plateau (TP) when using regional climate models and global atmospheric general circulation models. We updated the albedo in the Weather Research and Forecasting (WRF) Model lower boundary condition using the Global LAnd Surface Satellite Moderate-Resolution Imaging Spectroradiometer albedo products and demonstrated evident improvement for cold temperature biases in the TP. It is the large overestimation of albedo in winter and spring in the WRF model that resulted in the large cold temperature biases. The overestimated albedo was caused by the simulated precipitation biases and over-parameterization of snow albedo. Furthermore, light-absorbing aerosols can result in a large reduction of albedo in snow and ice cover. The results suggest the necessity of developing snow albedo parameterization using observations in the TP, where snow cover and melting are very different from other low-elevation r... X Meng, S Lyu, T Zhang, L Zhao, Z Li, B Han, S Li, D Ma, H Chen, Y Ao, S Luo, Y Shen, J Guo and L Wen Institute of Physics (IOP) 1748-9318 17489318 1748-9326 17489326 |
| shingle_catch_all_3 | Simulated cold bias being improved by using MODIS time-varying albedo in the Tibetan Plateau in WRF model Systematic cold biases exist in the simulation for 2 m air temperature in the Tibetan Plateau (TP) when using regional climate models and global atmospheric general circulation models. We updated the albedo in the Weather Research and Forecasting (WRF) Model lower boundary condition using the Global LAnd Surface Satellite Moderate-Resolution Imaging Spectroradiometer albedo products and demonstrated evident improvement for cold temperature biases in the TP. It is the large overestimation of albedo in winter and spring in the WRF model that resulted in the large cold temperature biases. The overestimated albedo was caused by the simulated precipitation biases and over-parameterization of snow albedo. Furthermore, light-absorbing aerosols can result in a large reduction of albedo in snow and ice cover. The results suggest the necessity of developing snow albedo parameterization using observations in the TP, where snow cover and melting are very different from other low-elevation r... X Meng, S Lyu, T Zhang, L Zhao, Z Li, B Han, S Li, D Ma, H Chen, Y Ao, S Luo, Y Shen, J Guo and L Wen Institute of Physics (IOP) 1748-9318 17489318 1748-9326 17489326 |
| shingle_catch_all_4 | Simulated cold bias being improved by using MODIS time-varying albedo in the Tibetan Plateau in WRF model Systematic cold biases exist in the simulation for 2 m air temperature in the Tibetan Plateau (TP) when using regional climate models and global atmospheric general circulation models. We updated the albedo in the Weather Research and Forecasting (WRF) Model lower boundary condition using the Global LAnd Surface Satellite Moderate-Resolution Imaging Spectroradiometer albedo products and demonstrated evident improvement for cold temperature biases in the TP. It is the large overestimation of albedo in winter and spring in the WRF model that resulted in the large cold temperature biases. The overestimated albedo was caused by the simulated precipitation biases and over-parameterization of snow albedo. Furthermore, light-absorbing aerosols can result in a large reduction of albedo in snow and ice cover. The results suggest the necessity of developing snow albedo parameterization using observations in the TP, where snow cover and melting are very different from other low-elevation r... X Meng, S Lyu, T Zhang, L Zhao, Z Li, B Han, S Li, D Ma, H Chen, Y Ao, S Luo, Y Shen, J Guo and L Wen Institute of Physics (IOP) 1748-9318 17489318 1748-9326 17489326 |
| shingle_title_1 | Simulated cold bias being improved by using MODIS time-varying albedo in the Tibetan Plateau in WRF model |
| shingle_title_2 | Simulated cold bias being improved by using MODIS time-varying albedo in the Tibetan Plateau in WRF model |
| shingle_title_3 | Simulated cold bias being improved by using MODIS time-varying albedo in the Tibetan Plateau in WRF model |
| shingle_title_4 | Simulated cold bias being improved by using MODIS time-varying albedo in the Tibetan Plateau in WRF model |
| timestamp | 2025-06-30T23:34:06.980Z |
| titel | Simulated cold bias being improved by using MODIS time-varying albedo in the Tibetan Plateau in WRF model |
| titel_suche | Simulated cold bias being improved by using MODIS time-varying albedo in the Tibetan Plateau in WRF model |
| topic | W ZP |
| uid | ipn_articles_6227992 |