An Assessment of Caspian Sea Modeled Wave Climate using ERA5 winds

2024

Closed access Metadata (CSL-JSON)
DOI 10.2112/jcr-si113-128.1
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Männikus, R.; Giudici, A.; Mayemerova, G.; Beisembekova, M.; Rakisheva, Z., and Soomere, T., 2024. An assessment of Caspian Sea modeled wave climate using ERA5 winds. In: Phillips, M.R.; Al-Naemi, S., and Duarte, C.M. (eds.), Coastlines under Global Change: Proceedings from the International Coastal Symposium (ICS) 2024 (Doha, Qatar). Journal of Coastal Research, Special Issue No. 113, pp. 649-653. Charlotte (North Carolina), ISSN 0749-0208. The wave climate of the Caspian Sea has been notably underrepresented in existing scientific literature, highlighting a crucial gap in our understanding. This study endeavors to address this deficiency by modeling wave properties on high resolution (2.5 km) grid utilizing the ERA5 wind dataset for the entire Caspian Sea in 1991–2022. The modeled wave heights were compared with data modeled in previous studies. The mean values of significant wave height HS compare well with previous research while large differences become evident for extreme wave heights. While larger values of long-term average HS, up to 1.1 m, occur closer to the western shore of the central basin, the maximum HS (up to 6.75 m) occur closer to the eastern shore. The distribution of HS in single locations follows an exponential rather than a Rayleigh distribution.