Climate Change Data Portal
DOI | 10.1007/s00382-020-05546-2 |
An assessment of radiative flux biases in the climate forecast system model CFSv2 | |
Kumar S.; Phani R.; Mukhopadhyay P.; Balaji C. | |
发表日期 | 2021 |
ISSN | 0930-7575 |
卷号 | 56期号:2021-05-06 |
英文摘要 | An extensive analysis of radiative flux biases in the Climate Forecast System Model Version 2 (CFSv2) is done. Annual mean and seasonal variations of biases at the surface and top of the atmosphere (TOA) are reported in the global domain. Large regional biases in shortwave (SW) and longwave (LW) radiation are observed over convectively active zones in the tropics. The relative contribution of various processes responsible for the reported biases is quantified. The poor simulation of clouds and inadequate representation of surface properties seem to be major contributors. Over certain regions, errors due to different processes add up, whereas, over other regions, errors tend to nullify each other. Surface and atmospheric variables taken as input parameters in the radiative transfer modules are compared with satellite-based observations. The maximum biases in SW and LW radiation are observed over the regions of persistent low clouds. The magnitude of the SW and LW biases at the TOA is in phase with the biases in cloud fraction by and large. However, the error in the radiative fluxes due to errors in surface radiative properties is of equal importance. The cold bias in near-surface air temperature reported in other studies may partly be attributed to an underestimation in the net SW radiation at the surface. In the present study, a plausible prescription is also provided to correct the source of the biases. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature. |
英文关键词 | Bias; CFS; Cloud; Physical process; Radiation |
来源期刊 | Climate Dynamics
![]() |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/183383 |
作者单位 | Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, India; Indian Institute of Technology, Madras, Chennai, India |
推荐引用方式 GB/T 7714 | Kumar S.,Phani R.,Mukhopadhyay P.,et al. An assessment of radiative flux biases in the climate forecast system model CFSv2[J],2021,56(2021-05-06). |
APA | Kumar S.,Phani R.,Mukhopadhyay P.,&Balaji C..(2021).An assessment of radiative flux biases in the climate forecast system model CFSv2.Climate Dynamics,56(2021-05-06). |
MLA | Kumar S.,et al."An assessment of radiative flux biases in the climate forecast system model CFSv2".Climate Dynamics 56.2021-05-06(2021). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。