Exploration of 12-km ERA-Interim Simulations from CORDEX Over the Levant

Hadjinicolaou, P.; Zittis, G.; Lelieveld, J.

doi:10.1007/978-3-319-35095-0_91

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

会議論文

Exploration of 12-km ERA-Interim Simulations from CORDEX Over the Levant

MPS-Authors

/persons/resource/persons192704

Zittis, G.
Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

/persons/resource/persons101104

Lelieveld, J.
Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

External Resource

There are no locators available

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

フルテキスト (公開)

公開されているフルテキストはありません

付随資料 (公開)

There is no public supplementary material available

引用

Hadjinicolaou, P., Zittis, G., & Lelieveld, J. (2017). Exploration of 12-km ERA-Interim Simulations from CORDEX Over the Levant. In T., Karacostas (Ed.), Perspectives on Atmospheric Sciences. Proceedings of the 13th International Conference of Meteorology, Climatology and Atmospheric Physics (COMECAP 2016) that is held in Thessaloniki from 19 to 21 September 2016 (pp. 643-648).

引用: https://hdl.handle.net/11858/00-001M-0000-002D-959F-2

要旨

We investigate the performance of the 12-km horizontal resolution simulations that are increasingly becoming available from the CORDEX simulations, as part of the Phase I CORDEX regional climate model runs (which mainly contain climate downscaling simulations at a grid spacing of about 50 km). In this preliminary work we evaluate 12-km CORDEX simulations driven by the ERA-Interim re-analyses for the period 1980–2010 with a focus in the Levant, broadly defined as the region encompassing the eastern Mediterranean. The 12-km modelled climatology, variability and trends of temperature and precipitation are compared with station measurements from different locations in the region and their performance is assessed. Biases of a few degrees are assigned to the model while the inter-annual variability and longer-term trends is reproduced nicely.