Zoeken
Zoeken kan via de modus 'eenvoudig zoeken' (één veld) of uitgebreid via 'geavanceerd zoeken' (meerdere velden). Zo kan je bv. zoeken op een combinatie van een auteursnaam (auteur), een jaartal (jaar) en een documenttype.
Boekenmand
Nuttige resultaten kan je aanvinken en toevoegen aan een mandje. De inhoud hiervan kan je exporteren of afdrukken (naar bv. PDF).
RSS
Op de hoogte blijven van nieuw toegevoegde publicaties binnen uw interessegebied? Dit kan door een RSS-feed (?) te maken van jouw zoekopdracht.
| [ meld een fout in dit record ] | mandje (0): toevoegen | toon |
 |
| Assessment of radiation forcing data sets for large-scale sea ice models in the Southern Ocean Vancoppenolle, M.; Timmermann, R.; Ackley, S.F.; Fichefet, T.; Goosse, H.; Heil, P.; Leonard, K.C.; Lieser, J.; Nicolaus, M.; Papakyriakou, T.; Tison, J.L. (2011). Assessment of radiation forcing data sets for large-scale sea ice models in the Southern Ocean. Deep-Sea Res., Part 2, Top. Stud. Oceanogr. 58(9-10): 1237-1249. dx.doi.org/10.1016/j.dsr2.2010.10.039
In: Deep-Sea Research, Part II. Topical Studies in Oceanography. Pergamon: Oxford. ISSN 0967-0645; e-ISSN 1879-0100
|  |
| Beschikbaar in | Auteurs |
| |
| Trefwoord |
|
| Author keywords |
|
| Auteurs | Top | |
|
|
|
| Abstract |
In the present paper, we evaluate the atmospheric forcing fields of sea ice models in the Southern Ocean using meteorological and radiation observations from two drifting station experiments over Antarctic sea ice. These are Sea Ice Mass Balance in the Antarctic (SIMBA, Bellingshausen Sea, October 2007) and ISPOL (Ice Station POLarstern, Weddell Sea, December 2004). For the comparison, it is assumed that those point measurements are representative of the whole model grid cell they were collected in. Analysis suggests that the NCEP-NCAR reanalyses have relatively low biases for variables that are assimilated by the system (temperature, winds and humidity) and are less accurate for those which are not (cloud fraction and radiation fluxes). The main deficiencies are significant day-to-day errors in air temperature (root-mean-square error 1.4-3.8°C) and a 0.2-0.6 g/kg mean overestimation in NCEP-NCAR specific humidity. In addition, associated with an underestimation of cloud fraction, NCEP-NCAR shortwave radiation features a large positive bias (43-109 w/m2), partly compensated by a 20-45 W/m2 negative bias in longwave radiation. Those biases can be drastically reduced by using empirical formulae of radiation fluxes and climatologies of relative humidity and cloud cover. However, this procedure leads to a loss of day-to-day and interannual variability in the radiation fields. We provide technical recommendations on how the radiation forcing should be handled to reduce sea ice model forcing errors. The various errors in forcing fields found here should not hide the great value of atmospheric reanalyses for the simulation of the ice-ocean system. |
| Top | Auteurs |
