The impact of heterogeneous surface temperatures on the 2-m air temperature over the arctic ocean under clear skies in spring

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Abstract

The influence of spatial surface temperature changes over the Arctic Ocean on the 2-m air temperature variability is estimated using backward trajectories based on ERA-Interim and JRA25 wind fields. They are initiated at Alert, Barrow and at the Tara drifting station. Three different methods are used. The first one compares mean ice surface temperatures along the trajectories to the observed 2-m air temperatures at the stations. The second one correlates the observed temperatures to air temperatures obtained using a simple Lagrangian box model that only includes the effect of sensible heat fluxes. For the third method, mean sensible heat fluxes from the model are correlated with the difference of the air temperatures at the model starting point and the observed temperatures at the stations. The calculations are based on MODIS ice surface temperatures and four different sets of ice concentration derived from SSM/I (Special Sensor Microwave Imager) and AMSR-E (Advanced Microwave Scanning Radiometer for EOS) data. Under nearly cloud-free conditions, up to 90% of the 2-m air temperature variance can be explained for Alert, and 70% for Barrow, using these methods. The differences are attributed to the different ice conditions, which are characterized by high ice concentration around Alert and lower ice concentration near Barrow. These results are robust for the different sets of reanalyses and ice concentration data. Trajectories based on 10-m wind fields from both reanalyses show large spatial differences in the Central Arctic, leading to differences in the correlations between modeled and observed 2-m air temperatures. They are most pronounced at Tara, where explained variances amount to 70% using JRA and 80% using ERA. The results also suggest that near-surface temperatures at a given site are influenced by the variability of surface temperatures in a domain of about 200 km radius around the site. © Author(s) 2013.

Figures

  • Table 1. Abbreviations used for the different combinations of reanalyses and ice concentration data sets.
  • Fig. 2. Boxplot of Richardson numbers in the lowest 30 m for Barrow derived from radiosonde data in wind speed bins of 2 m s−1 (box: quartiles; whiskers: 1.5 times the inner quartile range). The red line is a polynomial fit to the 90 % quantiles, and the gray shaded area is the frequency distribution of wind speed.
  • Fig. 1. Distribution of the trajectory starting points upwind of Alert (light blue), Barrow (dark blue) and Tara (red) for JRA and ERA combined. The grid cell size is 100 km and the size of the circles indicates the relative frequency. The arrows mark the in situ stations and the Tara drift track in April 2007.
  • Fig. 3. Three exemplary sets of trajectories arriving at Tara in 2007 calculated using ERA-Interim with two different resolutions and JRA. The temporal differences between crosses are 10 h. The pairs of ERA trajectories are nearly overlapping so that the differences between the trajectories of both ERA data sets are invisible.
  • Fig. 4. AA ice concentration on 20 April 2007 and ERA trajectory from 20 April 2007 12:00 UTC during the last 30 h arriving at Tara (black line).The differences between crosses are 10 h. At this time Tara is located at 87.6◦ N, 134.9◦ E.
  • Fig. 5. Time series of the model input and output data on 20 April 2007, 12:00 UTC for Tara, AA ice concentration (A), ice surface potential temperature (θi), air potential temperature at 10 m (θa) (lines) and 2-m air temperature at Tara (symbols) observed and calculated from the predicted 10-m potential temperature, sensible heat flux from ice (Fi), water (Fw) and the resulting net flux (Fnet), and ERA surface wind speed (u) and 2-m potential temperature (θERA). The BL depth is 350 m. The 2-m air temperature at Tara (TTara) is plotted for comparison.
  • Fig. 6. Cumulative frequency distribution of ice concentrations along the trajectories (ERA and JRA combined) for different ice concentration data sets for Alert, Barrow and Tara.
  • Fig. 7. Scatter plot of in situ and modeled temperatures (AT method) in ◦C for Alert 2003–2006 for EAA. The colors denote the BL depths and the lines are the corresponding regression lines.

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CITATION STYLE

APA

Tetzlaff, A., Kaleschke, L., Lüpkes, C., Ament, F., & Vihma, T. (2013). The impact of heterogeneous surface temperatures on the 2-m air temperature over the arctic ocean under clear skies in spring. Cryosphere, 7(1), 153–166. https://doi.org/10.5194/tc-7-153-2013

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