期刊
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
卷 126, 期 11, 页码 -出版社
AMER GEOPHYSICAL UNION
DOI: 10.1029/2020JD033615
关键词
clouds; high Arctic; intercomparison; radiation; re-analyses; satellite data
资金
- Center National d'Etudes Spatiales (CNES)
This study focuses on the accuracy of longwave radiation flux retrievals at the top and bottom of the atmosphere at Eureka station, Canada, in the high Arctic. The results show good agreement between radiative transfer calculations using ground-based lidar-radar profiles derived at Eureka and LW fluxes observed by CERES and reference LW fluxes at the bottom of the atmosphere. Identifying biases in different products and contributing factors helps to understand the complexities of longwave radiation flux retrievals in the Arctic region.
This study focuses on the accuracy of longwave radiation flux retrievals at the top and bottom of the atmosphere at Eureka station, Canada, in the high Arctic. We report comparisons between seven products derived from (a) calculations based on a combination of ground-based and space-based lidar and radar observations, (b) standard radiometric observations from the CERES sensor, (c) direct observations at the surface from a broadband radiation station, and (d) the ERA-Interim and ERA5 reanalyzes. Statistical, independent analyses are first performed to look at recurring bias and trends in fluxes at Top and Bottom of the Atmosphere (TOA, BOA). The analysis is further refined by comparing fluxes derived from coincident observations decomposed by scene types. Results show that radiative transfer calculations using ground-based lidar-radar profiles derived at Eureka agree well with TOA LW fluxes observed by CERES and with BOA LW fluxes reference. CloudSat-CALIPSO also shows good agreement with calculations from ground-based sensor observations, with a relatively small bias. This bias is shown to be largely due to low and thick cloud occurrences that the satellites are insensitive to owing to attenuation from clouds above and surface clutter. These conditions of opaque low clouds, cause an even more pronounced bias for CERES BOA flux calculation in winter, due to the deficit of low clouds identified by MODIS. ERA-I and ERA5 fluxes behave differently, the large positive bias observed with ERA-I is much reduced in ERA5. ERA5 is closer to reference observations due to better behavior of low and mid-level clouds and surface temperature.
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