Skip to main content

Dataset / Data from: The Oceanic Barrier Layer in the Eastern Indian Ocean as ...

Have a question about this item?

Item information. View source record on contributor's website.

Title
Data from: The Oceanic Barrier Layer in the Eastern Indian Ocean as a Predictor for Rainfall over Indonesia and Australia
Creator
McClean, Julie L
Sprintall, Janet
Date Created and/or Issued
2018 to 2020
Contributing Institution
UC San Diego, Research Data Curation Program
Collection
Data from: The Oceanic Barrier Layer in the Eastern Indian Ocean as a Predictor for Rainfall over Indonesia and Australia
Rights Information
Under copyright
Constraint(s) on Use: This work is protected by the U.S. Copyright Law (Title 17, U.S.C.). Use of this work beyond that allowed by "fair use" or any license applied to this work requires written permission of the copyright holder(s). Responsibility for obtaining permissions and any use and distribution of this work rests exclusively with the user and not the UC San Diego Library. Inquiries can be made to the UC San Diego Library program having custody of the work.
Use: This work is available from the UC San Diego Library. This digital copy of the work is intended to support research, teaching, and private study.
Rights Holder and Contact
UC Regents
Description
This is a collection of data and scripts in support of the manuscript “The Oceanic Barrier Layer in the Eastern Indian Ocean as a Predictor for Rainfall over Indonesia and Australia”. This study is focused on the relationship of the barrier layer in a region West of Sumatra (2.5°S - 4.5°N, and from 89.5E to 98.5°E at south boundary and 89.5°E-94.5°E at the north boundary) and the terrestrial rainfall over Indonesia and Australia. The collection consists of model and observational data including seasonal climatologies and monthly time series of ocean variables such as sea surface temperature and salinity, mixed layer depth, isothermal layer depth, barrier layer thickness, and atmospheric variables such as precipitation, heat fluxes (net, latent and sensible heat fluxes at the surface), outgoing longwave radiation at the top of the atmosphere, the wind stress, winds, the vertically integrated total moisture and moisture transport. The directory structure is organized in sub-folders for each of the manuscript figures. The data are in NetCDF-3 classic format. The scripts are in Matlab (version 2020b) and Ferret (version 6.4). In addition we have used the Climate Data Toolbox for Matlab. The model data are from high-resolution fully coupled 1850 pre-industrial simulation carried out with the Energy Exascale Earth System Model version 0 (E3SMv0) (McClean et al, 2018). It includes the Community Atmosphere Model version 5 - Spectral Element (CAM5-SE), the Community Land Model version 4 (CLM4), the Los Alamos Parallel Ocean Program version 2 (POP2) and the Los Alamos sea ice model version 4 (CICE4). The nominal horizontal grid resolution is 0.25° in the atmospheric and land components and 0.1° in the ocean and sea ice components. The atmospheric model has 30 vertical hybrid levels. In the ocean model the vertical grid has 42 depth levels with variable thickness from 10 to 50 m in the upper 300 m. The ocean and sea-ice model components were initialized from a two-year spun up state of a global 0.1° POP2/CICE4 simulation forced with interannually-varying corrected Coordinated Ocean-ice Reference Experiments phase II product. The preindustrial simulation was integrated for 131 years, from which years 85-131 were used in the analysis. The observational data sets include: National Aeronautics and Space Administration (NASA) Tropical Rainfall Measuring Mission (TRMM0.25v7) for total precipitation (1986-2016): https://disc.gsfc.nasa.gov/datasets/TRMM_3B43_7/summary?keywords=TRMM_3B43_7. The Scatterometer Climatology (1999-2007) of Ocean Winds (SCOW) available at: http://agate.coas.oregonstate.edu/scow/index.html International Argo Program climatology (2004-2017) of temperature and salinity profiles Source: http://sio-argo.ucsd.edu/RG_Climatology.html
NASA award NNX13AO38G;U.S. DOE Office of Science/BER grant DE-SC0012778; NOAA NA17OAR4310257 and NSF 1851316; National Natural Science Foundation of China (42076007). Oak Ridge Leadership Computing Facility.
Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp)
Ivanova, Detelina P.; McClean, Julie L.; Sprintall, Janet; Chen, Ru (2021). Data from: The Oceanic Barrier Layer in the Eastern Indian Ocean as a Predictor for Rainfall over Indonesia and Australia. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0MC8ZW3
Type
Dataset
Language
English
Subject
Australian rainfall
Energy Exascale Earth System Model version 0 (E3SMv0)
Rainfall predictors
Barrier layers
Indian Ocean
West Sumatra
Maritime Continent
Place
Indian Ocean
West Sumatra
Maritime Continent

About the collections in Calisphere

Learn more about the collections in Calisphere. View our statement on digital primary resources.

Copyright, permissions, and use

If you're wondering about permissions and what you can do with this item, a good starting point is the "rights information" on this page. See our terms of use for more tips.

Share your story

Has Calisphere helped you advance your research, complete a project, or find something meaningful? We'd love to hear about it; please send us a message.

Explore related content on Calisphere: