Recent surface mass balance from Syowa Station to Dome F, East Antarctica: comparison of field observations, atmospheric reanalyses, and a regional atmospheric climate model
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| 008 | 210128e20151101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00382-015-2512-6 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00382-015-2512-6 | ||
| 245 | 0 | 0 | |a Recent surface mass balance from Syowa Station to Dome F, East Antarctica: comparison of field observations, atmospheric reanalyses, and a regional atmospheric climate model |h [Elektronische Daten] |c [Yetang Wang, Shugui Hou, Weijun Sun, Jan Lenaerts, Michiel van den Broeke, J. van Wessem] |
| 520 | 3 | |a Stake measurements at 2km intervals are used to determine the spatial and temporal surface mass balance (SMB) in recent decades along the Japanese Antarctic Research Expedition traverse route from Syowa Station to Dome F. To determine SMB variability at regional scales, this traverse route is divided into four regions, i.e., coastal, lower katabatic, upper katabatic and inland plateau. We also perform a regional evaluation of large scale SMB simulated by the regional atmospheric climate model versions 2.1 and 2.3 (RACMO2.1 and RACMO2.3), and the four more recent global reanalyses. Large-scale spatial variability in the multi-year averaged SMB reveals robust relationships with continentality and surface elevation. In the katabatic regions, SMB variability is also highly associated with surface slope, which in turn is affected by bedrock topography. Stake observation records show large inter-annual variability in SMB, but did not indicate any significant trends over both the last 40years for the coastal and lower katabatic regions, and the last 20years record for the upper katabatic and inland plateau regions. The four reanalyses and the regional climate model reproduce the macro-scale spatial pattern well for the multi-year averaged SMB, but fail to capture the mesoscale SMB increase at the distance interval ~300 to ~400km from Syowa station. Thanks to the updated scheme in the cloud microphysics, RACMO2.3 shows the best spatial agreement with stake measurements over the inland plateau region. ERA-interim, JRA-55 and MERRA exhibit high agreement with the inter-annual variability of observed SMB in the coastal, upper katabatic and inland plateau regions, and moderate agreement in the lower katabatic region, while NCEP2 and RACMO2.1 inter-annual variability shows no significant correlation with the observations for the inland plateau region. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2015 | ||
| 690 | 7 | |a Surface mass balance |2 nationallicence | |
| 690 | 7 | |a Antarctica |2 nationallicence | |
| 690 | 7 | |a Spatial variability |2 nationallicence | |
| 690 | 7 | |a Temporal variability |2 nationallicence | |
| 690 | 7 | |a Model assessment |2 nationallicence | |
| 700 | 1 | |a Wang |D Yetang |u College of Population, Resources and Environment, Shandong Normal University, 250014, Jinan, China |4 aut | |
| 700 | 1 | |a Hou |D Shugui |u MOE, Key Laboratory for Coast and Island Development, School of Geographic and Oceanographic Sciences, Nanjing University, 210093, Nanjing, China |4 aut | |
| 700 | 1 | |a Sun |D Weijun |u College of Population, Resources and Environment, Shandong Normal University, 250014, Jinan, China |4 aut | |
| 700 | 1 | |a Lenaerts |D Jan |u Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, The Netherlands |4 aut | |
| 700 | 1 | |a van den Broeke |D Michiel |u Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, The Netherlands |4 aut | |
| 700 | 1 | |a van Wessem |D J. |u Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, The Netherlands |4 aut | |
| 773 | 0 | |t Climate Dynamics |d Springer Berlin Heidelberg |g 45/9-10(2015-11-01), 2885-2899 |x 0930-7575 |q 45:9-10<2885 |1 2015 |2 45 |o 382 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00382-015-2512-6 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00382-015-2512-6 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Wang |D Yetang |u College of Population, Resources and Environment, Shandong Normal University, 250014, Jinan, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Hou |D Shugui |u MOE, Key Laboratory for Coast and Island Development, School of Geographic and Oceanographic Sciences, Nanjing University, 210093, Nanjing, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Sun |D Weijun |u College of Population, Resources and Environment, Shandong Normal University, 250014, Jinan, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Lenaerts |D Jan |u Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, The Netherlands |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a van den Broeke |D Michiel |u Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, The Netherlands |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a van Wessem |D J. |u Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, The Netherlands |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Climate Dynamics |d Springer Berlin Heidelberg |g 45/9-10(2015-11-01), 2885-2899 |x 0930-7575 |q 45:9-10<2885 |1 2015 |2 45 |o 382 | ||