Monthly and seasonal climatologies of the mixed layer potential temperature and salinity budgets in the Red Sea
Contributors
Researcher (3):
Supervisor:
- 1. Scripps Institution of Oceanography, University of California
- 2. Hellenic Centre for Marine Research
- 3. 1King Abdullah University of Science and Technology
Description
Monthly and seasonal climatologies of the mixed layer temperature and salinity budgets in the Red Sea (RS), analyzed using the outputs of a high-resolution (1/100) ocean general circulation model (MITgcm) covering the period 2001 to 2015 (Krokos et al., 2021).
The data support the analysis presented in the paper "Processes governing the seasonal evolution of mixed layers in the Red Sea", accepted for publication in the Journal of Geophysical Research - Oceans.
The model diagnostics’ terms include the mixed layer depth (MLD), the surface heat (Qnet) and freshwater fluxes (FW), the mixed layer pot. temperature (MLT) and salinity (MLS), and the surface velocities over the RS.
The analyzed budget terms include the tendency of pot. temperature θ and salinity S (TT, ST), the surface fluxes of θ and S (TF, SF), the divergence of the advective fluxes of θ and S (TA, SA), the diffusive flux of θ and S (TD, SD), and processes at the ML base (Tbase, Sbase) that comprise en(de)trainment and the advective and diffusive fluxes acting on the en(de)trained volume.
Krokos, G., Cerovečki, I., Zhan, P., Hendershott, M. C., & Hoteit, I. (2021). Seasonal Evolution of Mixed Layers in the Red Sea and the Relative Contribution of Atmospheric Buoyancy and Momentum Forcing, 1–44. Retrieved from http://arxiv.org/abs/2112.08762
Notes
Files
Files
(1.2 GB)
| Name | Size | |
|---|---|---|
|
md5:e8654fcbe042c134d7fb8d5a4bcaf373
|
60.4 MB | Download |
|
md5:a0c210c595f260d9d5c8d8837d731c03
|
38.6 MB | Download |
|
md5:72931905ef1e620c6bc35d9ee61cd54a
|
46.6 MB | Download |
|
md5:13de849aee96976a1aefc0d487338260
|
50.2 MB | Download |
|
md5:ab4cadb667ccb3612589a3d4cdb5db6f
|
60.7 MB | Download |
|
md5:a1c4bc7bd95c109472fe5e3d46d0339a
|
55.9 MB | Download |
|
md5:63c718d2678c431d43867a7d4614cd44
|
55.8 MB | Download |
|
md5:c4886962e1e6b93eb7bfbdf9a08885ed
|
55.4 MB | Download |
|
md5:e12423c893e8e2b016c232cab66104b0
|
54.7 MB | Download |
|
md5:b18717d78c59c4e0fbb3511671d45f6d
|
56.0 MB | Download |
|
md5:73a89467db7fc4d9da4e08f0bda7447b
|
56.0 MB | Download |
|
md5:ad854d66f43c70b66a18f02cabb08c6e
|
56.0 MB | Download |
|
md5:aa87de62683ccfaa140c695b04a8e832
|
56.1 MB | Download |
|
md5:d01a2c778dcca63cc4423e3d059d4f6e
|
54.8 MB | Download |
|
md5:0e9efe19a50e4647908367b3ede18c19
|
56.1 MB | Download |
|
md5:ceacad0ef6aff68402c7e2acae37d1f7
|
116.3 MB | Download |
|
md5:9cebefe3ff64edc038842108234bbde5
|
21.2 MB | Download |
|
md5:9bbb52d55bdf912b4d21ab7f93e6a620
|
22.1 MB | Download |
|
md5:70498a6434ff71efc7eb441e5752ae1f
|
22.1 MB | Download |
|
md5:5a7961e1967c3c99230e0ad5470342b6
|
21.9 MB | Download |
|
md5:f7a098cebe6d2dc48bc64c75daf237c6
|
21.7 MB | Download |
|
md5:e85d3f09602cad2458ebf1719646beae
|
22.1 MB | Download |
|
md5:77a338e58fb1ac81b20afbd9aa3a0ba2
|
22.1 MB | Download |
|
md5:3568c083a60fea01178397cff22411ab
|
22.1 MB | Download |
|
md5:5bb3499054a3960d166c81e363c83131
|
22.1 MB | Download |
|
md5:d8191b9c0d2071ef92400fd886dcec45
|
21.7 MB | Download |
|
md5:06d8f617e0c7b35b8d0b314e05b03b74
|
22.1 MB | Download |
|
md5:eb63008f6839f7485f20b078c0e629b5
|
42.4 MB | Download |
Additional details
Related works
- Cites
- Working paper: http://arxiv.org/abs/2112.08762 (URL)