Comparing Surface Mass Balance and Surface Temperatures From Regional Climate Models and Reanalyses to Observations Over the Antarctic Ice Sheet

IF 3.5 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Xiaofeng Wang, Peter L. Langen, Rongxing Li, Gang Qiao, Xiaopeng Fan, Yinke Dou, Xiangbin Cui
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引用次数: 0

Abstract

This article assesses the performance of surface mass balance (SMB) and surface temperature products from seven climate models (ERA5, MERRA2, HIRHAM5_ERA-Interim, HIRHAM5_ERA5, MARv3.11, RACMO2.3p1 and RACMO2.3p2) to be used as inputs to firn densification models (FDMs), crucial for the whole Antarctic mass balance estimation. The evaluation compiles and utilises a new dataset combining existing observations with 184 stake SMB measurements in the Vostok region and two SMB radar transects in Blåskimen Island and Nivlisen Ice Shelf, significantly enhancing the AntSMB dataset. For temperatures at 10 m (T10), 992 observations are included, offering vastly improved spatial coverage. Compared with multi-year SMB observations, RACMO2.3p1 and ERA5 align closely with observed SMB over the inland and the whole Antarctic, with ERA5 exhibiting superior alignment in coastal areas. However, in terms of temporal SMB variations, ERA5, RACMO2.3p2 and HIRHAM5_ERA-Interim demonstrate the best consistency with observed SMB, with ERA5 excelling in regression slope comparisons. In our surface temperature evaluation, RACMO2.3p2 and ERA5 have a minimal mean bias from T10 over the whole Antarctic. RACMO2.3p2 performs well with few occurrences of deviations beyond ±3°C in coastal areas, while RACMO2.3p2 and HIRHAM5_ERA5 are both close to T10 in inland areas. In inter-model SMB comparisons, ERA5, HIRHAM5_Interim, HIRHAM5_ERA5, RACMO2.3p1 and RACMO2.3p2 exhibit similar deviations from the multi-model mean (MMM), while MARv3.11 and MERRA2 show larger deviations in some coastal areas. For surface temperature, MARv3.11 and ERA5 display larger deviations from the MMM in some coastal areas where ERA5 actually matches the observations well, illustrating that MMM should not be taken to represent the true climate conditions. In conclusion, ERA5 demonstrates the best overall consistency with SMB and T10 observations compared with the other models.

Abstract Image

从区域气候模式和对南极冰盖观测资料的再分析比较地表物质平衡和地表温度
本文评估了七个气候模式(ERA5、MERRA2、HIRHAM5_ERA-Interim、HIRHAM5_ERA5、MARv3.11、RACMO2.3p1和RACMO2.3p2)的地表质量平衡(SMB)和地表温度产品的性能,这些气候模式将作为建立对整个南极质量平衡估算至关重要的密度模型(fdm)的输入。该评估编制并利用了一个新的数据集,将现有观测数据与Vostok地区184个相关SMB测量数据和bl skimen岛和Nivlisen冰架的两个SMB雷达样带相结合,显著增强了AntSMB数据集。对于10米(T10)的温度,包括992次观测,极大地提高了空间覆盖率。与多年的SMB观测结果相比,RACMO2.3p1和ERA5与内陆和整个南极的SMB观测结果一致,其中ERA5在沿海地区表现出较好的一致性。然而,在SMB的时间变化方面,ERA5、RACMO2.3p2和HIRHAM5_ERA-Interim与观测到的SMB一致性最好,其中ERA5在回归斜率比较中表现出色。在我们的地表温度评估中,RACMO2.3p2和ERA5对整个南极的T10平均偏差最小。RACMO2.3p2表现较好,在沿海地区很少出现±3°C以上的偏差,而在内陆地区,RACMO2.3p2和HIRHAM5_ERA5都接近T10。在模式间SMB比较中,ERA5、HIRHAM5_Interim、HIRHAM5_ERA5、RACMO2.3p1和RACMO2.3p2与多模式平均值(MMM)的偏差相似,而MARv3.11和MERRA2在部分沿海地区的偏差较大。对于地表温度,在一些沿海地区,MARv3.11和ERA5与MMM的偏差较大,而在这些地区,ERA5实际上与观测值匹配得很好,说明MMM不应该代表真实的气候条件。综上所述,与其他模型相比,ERA5与SMB和T10观测值的总体一致性最好。
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来源期刊
International Journal of Climatology
International Journal of Climatology 地学-气象与大气科学
CiteScore
7.50
自引率
7.70%
发文量
417
审稿时长
4 months
期刊介绍: The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions
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