Simulated cold bias being improved by using MODIS time-varying albedo in the Tibetan Plateau in WRF model

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