TY - JOUR
T1 - Estimating near-surface climatology of multi-reanalyses over the Greenland Ice Sheet
AU - Zhang, Wuying
AU - Wang, Yetang
AU - Smeets, Paul C.J.P.
AU - Reijmer, Carleen H.
AU - Huai, Baojuan
AU - Wang, Junyao
AU - Sun, Weijun
N1 - Funding Information:
Funding this work was the National Natural Science Foundation of China ( 41971081 ), the Project for Outstanding Youth Innovation Team in the Universities of Shandong Province ( 2019KJH011 ), the Strategic Priority Research Program of the Chinese Academy of Sciences ( XAD19070103 ), and the Outstanding Youth Fund of Shandong Provincial Universities ( ZR2016JL030 ).
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/9
Y1 - 2021/9
N2 - This study uses meteorological records from Automatic Weather Stations (AWSs) to estimate the performance of global reanalysis products for monthly air temperature, relative humidity and wind speed over the Greenland Ice Sheet (GrIS). These products include the fifth generation European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis (ERA5), ECMWF Interim Reanalysis (ERAI), Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2), Climate Forecast System Reanalysis Version 1/Climate Forecast System Version 2 (CFSRv1/CFSRv2), and Japanese 55-year Reanalysis (JRA-55). The global reanalysis products generally perform better in summer than in winter, and their qualities vary by glaciological regime. No reanalysis is clearly identified as the optimal dataset for all meteorological parameters, seasons and regions. For all reanalyses, warm biases are observed in the accumulation zone, but cold biases are observed in the ablation area of the GrIS. ERAI, ERA5 and JRA-55 underestimate relative humidity during any month. While MERRA-2 overestimates wind speeds, underestimates are found for the other reanalyses excluding JRA-55 during all months. Despite the robust agreement between the AWS time series for all three variables and each reanalysis product averaged over the ice sheet, sudden jumps occur in annual mean wind speed in CFSR, and in annual relative humidity in JRA-55 from 2010 to 2011.
AB - This study uses meteorological records from Automatic Weather Stations (AWSs) to estimate the performance of global reanalysis products for monthly air temperature, relative humidity and wind speed over the Greenland Ice Sheet (GrIS). These products include the fifth generation European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis (ERA5), ECMWF Interim Reanalysis (ERAI), Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2), Climate Forecast System Reanalysis Version 1/Climate Forecast System Version 2 (CFSRv1/CFSRv2), and Japanese 55-year Reanalysis (JRA-55). The global reanalysis products generally perform better in summer than in winter, and their qualities vary by glaciological regime. No reanalysis is clearly identified as the optimal dataset for all meteorological parameters, seasons and regions. For all reanalyses, warm biases are observed in the accumulation zone, but cold biases are observed in the ablation area of the GrIS. ERAI, ERA5 and JRA-55 underestimate relative humidity during any month. While MERRA-2 overestimates wind speeds, underestimates are found for the other reanalyses excluding JRA-55 during all months. Despite the robust agreement between the AWS time series for all three variables and each reanalysis product averaged over the ice sheet, sudden jumps occur in annual mean wind speed in CFSR, and in annual relative humidity in JRA-55 from 2010 to 2011.
KW - Air temperature
KW - Relative humidity
KW - Wind speed
KW - Reanalysis products
KW - Greenland Ice Sheet
UR - http://www.scopus.com/inward/record.url?scp=85106247801&partnerID=8YFLogxK
U2 - 10.1016/j.atmosres.2021.105676
DO - 10.1016/j.atmosres.2021.105676
M3 - Article
AN - SCOPUS:85106247801
SN - 0169-8095
VL - 259
SP - 1
EP - 11
JO - Atmospheric Research
JF - Atmospheric Research
M1 - 105676
ER -