.. _ers_sst_nino:

ERS SSTv4 Nino 3.4 Index
========================

Description
-----------
The Nino 3.4 Index is also computed using the Extended Reconstructed
Sea Surface Temperature (ERSST) dataset, which is a global monthly
sea surface temperature dataset derived from the International Comprehensive
Ocean-Atmosphere Dataset (ICOADS). It is produced on a 2 degree by 2 degree
grid with spatial completeness enhanced using statistical methods. This
monthly analysis begins in January 1854 continuing to the present and
includes anomalies computed with respect to a 1971-2000 monthly climatology.
The newest version of ERSST, version 4, is based on optimally tuned parameters
using the latest datasets and improved analysis methods. ERSST is suitable
for long-term global and basin-wide studies, and smoothed local and
short-term variations are used in the dataset.

Source
------
`NOAA ERSST v4 website`_

Release Policy
--------------
Cite this dataset when used as a source: Boyin Huang, Viva F. Banzon, Eric Freeman,
Jay Lawrimore, Wei Liu, Thomas C. Peterson, Thomas M. Smith, Peter W. Thorne,
Scott D. Woodruff, and Huai-Min Zhang, 2015: Extended Reconstructed Sea Surface
Temperature (ERSST), Version 4. NOAA National Centers for Environmental Information.
doi:10.7289/V5KD1VVF [access date: January 2017].

References
----------
- `Huang et al. (2014)`_
- `Liu et al. (2014)`_
- `Huang et al. (2015)`_

`bibtex file`_

MPAS-Analysis Tasks
-------------------
- :ref:`task_indexNino34`

.. _`NOAA ERSST v4 website`: https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v4
.. _`Huang et al. (2014)`: https://journals.ametsoc.org/doi/10.1175/JCLI-D-14-00006.1
.. _`Liu et al. (2014)`: https://journals.ametsoc.org/doi/10.1175/JCLI-D-14-00007.1
.. _`Huang et al. (2015)`: https://journals.ametsoc.org/doi/10.1175/JCLI-D-15-0430.1
.. _`bibtex file`: https://web.lcrc.anl.gov/public/e3sm/diagnostics/observations/Ocean/Nino/ERS_SSTv4/obs.bib