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<?xml version="1.0"?>
<observations
headers="name, source, references"
headernames="Observational Dataset, Source, References">
<!-- OCEAN -->
<observation>
<name>
SST merged Hadley Center-NOAA/OI data set
</name>
<component>
ocean
</component>
<description>
The merged Hadley-OI sea surface temperature (SST) and sea ice
concentration (SIC) data sets were specifically developed as surface
forcing data sets for AMIP style uncoupled simulations of the Community
Atmosphere Model (CAM). The Hadley Centre's SST/SIC version 1.1
(HADISST1), which is derived gridded, bias-adjusted in situ observations,
were merged with the NOAA-Optimal Interpolation (version 2; OI.v2)
analyses. The HADISST1 spanned 1870 onward but the OI.v2, which started
in November 1981, better resolved features such as the Gulf Stream and
Kuroshio Current which are important components of the climate system.
Since the two data sets used different development methods, anomalies
from a base period were used to create a more homogeneous record. Also,
additional adjustments were made to the SIC data set.
</description>
<source>
[NCAR Hadley-NOAA/OI SST website]
(https://climatedataguide.ucar.edu/climate-data/merged-hadley-noaaoi-sea-surface-temperature-sea-ice-concentration-hurrell-et-al-2008)
</source>
<releasePolicy>
Acknowledgment: Hurrell, J. W., J. J. Hack, D. Shea, J. M. Caron, and J. Rosinski,
2008: A New Sea Surface Temperature and Sea Ice Boundary Dataset for the Community
Atmosphere Model. Journal of Climate, 21, 5145-5153.
</releasePolicy>
<references>
[Hurrell et al. (2008)](https://doi.org/10.1175/2008JCLI2292.1)
</references>
<bibtex>
@article{Hurrell2008,
author = {James W. Hurrell and James J. Hack and Dennis Shea and Julie M. Caron and James Rosinski},
title = {A New Sea Surface Temperature and Sea Ice Boundary Dataset for the Community Atmosphere Model},
journal = {Journal of Climate},
volume = {21},
number = {19},
pages = {5145-5153},
year = {2008},
doi = {10.1175/2008JCLI2292.1},
URL = {https://doi.org/10.1175/2008JCLI2292.1}
}
</bibtex>
<dataUrls>
- ftp://ftp.cgd.ucar.edu/archive/SSTICE/MODEL.SST.HAD187001-198110.OI198111-201712.nc
</dataUrls>
<preprocessing>
</preprocessing>
<tasks>
- climatologyMapSST
</tasks>
<subdirectory>
Ocean/SST
</subdirectory>
<nameInDocs>
hadley_center_sst
</nameInDocs>
</observation>
<observation>
<name>
SSS from NASA Aquarius satellite
</name>
<component>
ocean
</component>
<description>
Level 3 Aquarius sea surface salinity (SSS) data products have a temporal
resolutions of daily, 8 day, monthly, 3 months, and annual. Monthly and
seasonal climatology products from Aquarius are also available. The Aquarius
instrument provides global coverage every 7 days. L3 products are gridded
at 1 degree spatial resolution.
</description>
<source>
[NASA Aquarius Website]
(https://podaac.jpl.nasa.gov/dataset/AQUARIUS_L4_OISSS_IPRC_7DAY_V4)
</source>
<releasePolicy>
NASA data are not copyrighted; however, when you publish our data or
results derived therefrom, we request that you include an acknowledgment
within the text of the publication and reference list.
[Data Citation and Acknowledgements]
(https://podaac.jpl.nasa.gov/CitingPODAAC)
</releasePolicy>
<references>
[Lagerloef et al. (2015)](ftp://podaac.jpl.nasa.gov/SalinityDensity/aquarius/docs/v4/AQ-014-PS-0016_AquariusSalinityDataValidationAnalysis_DatasetVersion4.0and3.0.pdf)
</references>
<bibtex>
</bibtex>
<dataUrls>
ftp://podaac-ftp.jpl.nasa.gov/allData/aquarius/L4/IPRC/v4/7day/
</dataUrls>
<preprocessing>
(missing)
</preprocessing>
<tasks>
- climatologyMapSSS
</tasks>
<subdirectory>
Ocean/SSS
</subdirectory>
<nameInDocs>
aquarius_sss
</nameInDocs>
</observation>
<observation>
<name>
WOA18 Temperature and Salinity Climatology
</name>
<component>
ocean
</component>
<description>
The World Ocean Atlas 2018 (WOA18) release July 2019 updates previous
versions of the World Ocean Atlas to include approximately 3 million
new oceanographic casts added to the World Ocean Database (WOD) since
the previous release as well as renewed and updated quality control.
Animal mounted pinniped temperature profiles have been added as a data
source improving coverage in some high latitude areas. WOA18 includes
analysis for temperature, salinity, dissolved oxygen, and dissolved
inorganic nutrients (only temperature and salinity are used in MPAS-Analysis
as of Aug 2019). The atlas includes annual, seasonal, and monthly
climatologies and related statistical fields. Annual fields are available
for the full depth (0-5500 m), while monthly and seasonal fields are
available for the upper 1500 m only. Climatologies are available on a 1deg
regular grid and on a 0.25deg grid.
</description>
<source>
[NOAA National Oceanographic Data Center (NODC) website]
(https://www.nodc.noaa.gov/OC5/woa18)
</source>
<releasePolicy>
Acknowledgment: Locarnini and co-authors, 2019: World Ocean Atlas 2018,
Volume 1: Temperature. A. Mishonov Technical Editor, NOAA Atlas NESDIS 81.
Zweng and co-authors, 2019: World Ocean Atlas 2018, Volume 2: Salinity.
A. Mishonov Technical Editor, NOAA Atlas NESDIS 82.
</releasePolicy>
<references>
- [Locarnini et al. (2019)](https://data.nodc.noaa.gov/woa/WOA18/DOC/woa18_vol1.pdf)
- [Zweng et al. (2019)](https://data.nodc.noaa.gov/woa/WOA18/DOC/woa18_vol2.pdf)
</references>
<bibtex>
@manual{Locarninietal2019,
author = {R. A. Locarnini and A. V. Mishonov and O. K. Baranova and T. P. Boyer and
M. M. Zweng and H. E. Garcia and J. R. Reagan and D. Seidov and K. W. Weathers and
C. R. Paver and I. V. Smolyar},
title = {World Ocean Atlas 2018, Volume 1: Temperature},
organization = {NOAA Atlas NESDIS 81},
year = {2019},
edition = {A. Mishonov Technical Editor}
}
@manual{Zwenetal2019,
author = {M. M. Zweng and J. R. Reagan and D. Seidov and T. P. Boyer and R.A. Locarnini
and H. E. Garcia and A. V. Mishonov and O. K. Baranova and K. W. Weathers and
C. R. Paver and I. V. Smolyar},
title = {World Ocean Atlas 2018, Volume 2: Salinity},
organization = {NOAA Atlas NESDIS 82},
year = {2019},
edition = {A. Mishonov Technical Editor}
}
</bibtex>
<dataUrls>
- https://data.nodc.noaa.gov/woa/WOA18/DATA/
</dataUrls>
<preprocessing>
- preprocess_observations/preprocess_WOA18Annual_data.bash
- preprocess_observations/preprocess_WOA18Monthly_data.bash
</preprocessing>
<tasks>
- climatologyMapWoa
</tasks>
<subdirectory>
Ocean/WOA18
</subdirectory>
<nameInDocs>
woa18_t_s
</nameInDocs>
</observation>
<observation>
<name>
WOA23 Temperature and Salinity Climatology
</name>
<component>
ocean
</component>
<description>
The World Ocean Atlas 2023 (WOA23) was released on February 14, 2024 and
includes temperature, salinity, oxygen (and parameters Apparent Oxygen
Utilization and percent oxygen saturation) and inorganic nutrients
(phosphate, silicate, and nitrate). WOA23 includes approximately 1.8
million new oceanographic casts added to the WOD since WOA18’s release,
as well as renewed and updated quality controls.
</description>
<source>
[NOAA National Centers for Environmental Information (NCEI) website]
(https://www.ncei.noaa.gov/products/world-ocean-atlas)
</source>
<releasePolicy>
These data are openly available to the public. Please acknowledge the
use of these data with the text given in the acknowledgment attribute.
</releasePolicy>
<references>
- [Locarnini et al. (2024)](https://repository.library.noaa.gov/view/noaa/60599)
- [Reagan et al. (2024)](https://repository.library.noaa.gov/view/noaa/60600)
</references>
<bibtex>
@manual{locarnini_world_nodate,
title = {World Ocean Atlas 2023, Volume 1: Temperature},
url = {https://repository.library.noaa.gov/view/noaa/60599},
shorttitle = {World Ocean Atlas 2023, Volume 1},
year = {2024},
author = {Locarnini, Ricardo A. and Mishonov, Alexey V. and Baranova,
Olga K. and Reagan, James R. and Boyer, Timothy P. and Seidov, Dan and
Wang, Zhankun and Garcia, Hernan E. and Bouchard, Courtney and Cross,
Scott L. and Paver, Christopher R. and Dukhovskoy, Dmitry},
}
@manual{reagan_world_nodate,
title = {World Ocean Atlas 2023, Volume 2: Salinity},
url = {https://repository.library.noaa.gov/view/noaa/60600},
shorttitle = {World Ocean Atlas 2023, Volume 2},
author = {Reagan, James R. and Seidov, Dan and Wang, Zhankun and
Dukhovskoy, Dmitry and Boyer, Timothy P. and Locarnini, Ricardo A. and
Baranova, Olga K. and Mishonov, Alexey V. and Garcia, Hernan E. and
Bouchard, Courtney and Cross, Scott L. and Paver, Christopher R.},
year = {2024},
}
</bibtex>
<dataUrls>
- https://www.ncei.noaa.gov/access/world-ocean-atlas-2023/
</dataUrls>
<preprocessing>
- preprocess_observations/preprocess_woa23.py
</preprocessing>
<tasks>
- climatologyMapWoa
</tasks>
<subdirectory>
Ocean/WOA23
</subdirectory>
<nameInDocs>
woa23_t_s
</nameInDocs>
</observation>
<observation>
<name>
AVISO Absolute Dynamic Topography
</name>
<component>
ocean
</component>
<description>
[NASA JPL AVISO website](https://podaac.jpl.nasa.gov/dataset/AVISO_L4_DYN_TOPO_1DEG_1MO)
This dataset contains absolute dynamic topography (similar to sea level
but with respect to the geoid) binned and averaged monthly on 1 degree
grids. The coverage is from October 1992 to December 2010. These data
were provided by AVISO (French space agency data provider) to support the
CMIP5 (Coupled Model Intercomparison Project Phase 5) under the World
Climate Research Program (WCRP) and was first made available via the JPL
Earth System Grid. The dynamic topography are derived from sea surface
height measured by several satellites including Envisat, TOPEX/Poseidon,
Jason-1 and OSTM/Jason-2, and referenced to the geoid. Along with this
dataset, two additional ancillary data files are included in the same
directory which contain the number of observations and standard error
co-located on the same 1 degree grids.
</description>
<source>
[NASA JPL AVISO website](https://podaac.jpl.nasa.gov/dataset/AVISO_L4_DYN_TOPO_1DEG_1MO)
</source>
<releasePolicy>
When using Ssalto/Duacs data (NRT or DT along-track Absolute Dynamic
Topography (ADT), maps of SLA geostrophic currents (MSLA UV) or maps of
ADT heights and currents (MADT H and UV), climatologies and averages of
MSLA-H), please cite: "The altimeter products were produced by
Ssalto/Duacs and distributed by Aviso, with support from Cnes
(http://www.aviso.altimetry.fr/duacs/)"
</releasePolicy>
<references>
[AVISO: Sea Surface Height above Geoid]
(ftp://podaac.jpl.nasa.gov/allData/aviso/L4/dynamic_topo_1deg_1mo/docs/zosTechNote_AVISO_L4_199210-201012.pdf)
</references>
<bibtex>
</bibtex>
<dataUrls>
- ftp://podaac-ftp.jpl.nasa.gov/allData/aviso/L4/dynamic_topo_1deg_1mo/zos_AVISO_L4_199210-201012.nc
</dataUrls>
<preprocessing>
</preprocessing>
<tasks>
- climatologyMapSSH
</tasks>
<subdirectory>
Ocean/SSH
</subdirectory>
<nameInDocs>
aviso_ssh
</nameInDocs>
</observation>
<observation>
<name>
Argo Mixed Layer Depth (MLD) climatology
</name>
<component>
ocean
</component>
<description>
A mixed layer climatology and database (described in Holte et al. 2017)
using Argo profiles and a hybrid method (Holte and Talley 2009) for
finding the mixed layer depth (MLD). The climatology incorporates over
1,385,000 Argo profiles (through February 2017). The new hybrid algorithm
models the general shape of each profile, searches for physical features
in the profile, and calculates threshold and gradient MLDs to assemble a
suite of possible MLD values. It then analyzes the patterns in the suite
to select a final MLD estimate. Results are also presented for MLDs
calculated using de Boyer Montegut et al.'s (2004) threshold values.
</description>
<source>
[UCSD Mixed Layer Website](http://mixedlayer.ucsd.edu/)
</source>
<releasePolicy>
[Acknowledgment:](http://mixedlayer.ucsd.edu/) If you use this data,
please cite it as: Holte, J., L. D. Talley, J. Gilson, and D. Roemmich
(2017), An Argo mixed layer climatology and database, Geophys. Res.
Lett., 44, 5618-5626, doi:10.1002/2017GL073426.
</releasePolicy>
<references>
- [Holte et al. (2017)](http://onlinelibrary.wiley.com/doi/10.1002/2017GL073426/full)
- [Holte and Talley (2009)](http://journals.ametsoc.org/doi/abs/10.1175/2009JTECHO543.1)
- [de Boyer Montegut et al. (2004)](https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2004JC002378)
</references>
<bibtex>
@article{Holte2017,
author = {James Holte and Lynne D. Talley and John Gilson and Dean Roemmich},
title = {An Argo mixed layer climatology and database},
journal = {Geophysical Research Letters},
year = {2017},
volume = {44},
number = {11},
pages = {5618-5626},
keywords = {Argo, mixed layer, climatology, global},
doi = {10.1002/2017GL073426},
url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2017GL073426}
}
@article{Holte2009,
author = { James Holte and Lynne Talley },
title = {A New Algorithm for Finding Mixed Layer Depths with Applications to Argo Data and Subantarctic Mode Water Formation},
journal = {Journal of Atmospheric and Oceanic Technology},
volume = {26},
number = {9},
pages = {1920-1939},
year = {2009},
doi = {10.1175/2009JTECHO543.1},
URL = {https://doi.org/10.1175/2009JTECHO543.1}
}
@article{deBoyerMontegut2004,
author = {Cl\'{e}ment {de Boyer Mont\'{e}gut} and Gurvan Madec and Albert S. Fischer and Alban Lazar and Daniele Iudicone},
title = {Mixed layer depth over the global ocean: An examination of profile data and a profile-based climatology},
journal = {Journal of Geophysical Research: Oceans},
volume = {109},
number = {C12},
pages = {},
year = {2004},
keywords = {mixed layer, mixed layer depth criterion, density compensation},
doi = {10.1029/2004JC002378},
url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2004JC002378}
}
</bibtex>
<dataUrls>
- http://mixedlayer.ucsd.edu/data/Argo_mixedlayers_monthlyclim_03192017.nc
</dataUrls>
<preprocessing>
</preprocessing>
<tasks>
- climatologyMapMLD
</tasks>
<subdirectory>
Ocean/MLD
</subdirectory>
<nameInDocs>
argo_mld
</nameInDocs>
</observation>
<observation>
<name>
Meridional Heat Transport (MHT)
</name>
<component>
ocean
</component>
<description>
The Trenbert and Caron oceanic meridional heat transport is computed
by computation of energy balance of the atmosphere, adjusted to fit
physical constraints, and using two reanalysis products: the National
Centers for Environmental Prediction-National Center for Atmospheric
Research (NCEP-NCAR) reanalysis and the European Centre for Medium-Range
Weather Forecasts (ECMWF) product. The analysis focuses on the period
from February 1985 to April 1989 when there are reliable top-of-the-atmosphere
radiation data from the Earth Radiation Budget Experiment.
</description>
<source>
Data available upon request from Dr. Kevin Trenberth
</source>
<releasePolicy>
Acknowledgment: please cite: Trenberth and Caron (2001). Estimates of
Meridional Atmosphere and Ocean Heat Transports, J. of Climate, 14, 3433-3443.
</releasePolicy>
<references>
[Trenberth and Caron (2001)](https://doi.org/10.1175/1520-0442%282001%29014<3433%3AEOMAAO>2.0.CO%3B2)
</references>
<bibtex>
@article{Trenberth2001,
author = { Kevin E. Trenberth and Julie M. Caron },
title = {Estimates of Meridional Atmosphere and Ocean Heat Transports},
journal = {Journal of Climate},
volume = {14},
pages = {3433-3443},
year = {2001},
doi = {10.1175/1520-0442%282001%29014<3433%3AEOMAAO>2.0.CO%3B2},
URL = {https://doi.org/10.1175/1520-0442%282001%29014<3433%3AEOMAAO>2.0.CO%3B2}
}
</bibtex>
<dataUrls>
</dataUrls>
<preprocessing>
</preprocessing>
<tasks>
- meridionalHeatTransport
</tasks>
<subdirectory>
Ocean/MHT
</subdirectory>
<nameInDocs>
trenberth_mht
</nameInDocs>
</observation>
<observation>
<name>
Roemmich-Gilson Argo Climatology
</name>
<component>
ocean
</component>
<description>
This new version of the Roemmich-Gilson Argo Climatology extends the
analysis of Argo-only derived potential temperature and salinity fields
through 2016. Several marginal seas and the Artic Oean have been added.
The analysis method is similar to what was descibed in the Progress In
Oceanography Roemmich and Gilson paper (2009). The only modification has
been to scale the zonal equatorial correlation of the optimal estimation
step, by 8 times, versus 4 times as in the 2009 paper. The additional
Argo data utilized in the analysis results in a longer monthly record as
well as better estimates of the mean and variability fields. Monthly
updates are available in between major yearly re-analyses.
</description>
<source>
[Scripps Roemmich-Gilson Argo Website](http://sio-argo.ucsd.edu/RG_Climatology.html)
</source>
<releasePolicy>
[Acknowledgment:](http://sio-argo.ucsd.edu/RG_Climatology.html) Roemmich,
D. and J. Gilson, 2009: The 2004-2008 mean and annual cycle of
temperature, salinity, and steric height in the global ocean from the
Argo Program. Progress in Oceanography, 82, 81-100.
</releasePolicy>
<references>
[Roemmich and Gilson (2009)](http://www.sciencedirect.com/science/article/pii/S0079661109000160)
</references>
<bibtex>
@article{Roemmich2009,
title = "The 2004--2008 mean and annual cycle of temperature, salinity, and steric height in the global ocean from the Argo Program",
journal = "Progress in Oceanography",
volume = "82",
number = "2",
pages = "81 - 100",
year = "2009",
issn = "0079-6611",
doi = "10.1016/j.pocean.2009.03.004",
url = "http://www.sciencedirect.com/science/article/pii/S0079661109000160",
author = "Dean Roemmich and John Gilson"
}
</bibtex>
<dataUrls>
- ftp://kakapo.ucsd.edu/pub/gilson/argo_climatology/RG_ArgoClim_Temperature_2017.nc.gz
- ftp://kakapo.ucsd.edu/pub/gilson/argo_climatology/RG_ArgoClim_Salinity_2017.nc.gz
</dataUrls>
<preprocessing>
preprocess_observations/Process_RG_Argo_climatology.ipynb
</preprocessing>
<tasks>
- climatologyMapArgoTemperature
- climatologyMapArgoSalinity
</tasks>
<subdirectory>
Ocean/ARGO
</subdirectory>
<nameInDocs>
roemmich_gilson_argo
</nameInDocs>
</observation>
<observation>
<name>
2005-2010 climatology from SOSE the Southern Ocean State Estimate (SOSE)
</name>
<component>
ocean
</component>
<description>
Monthly potential temperature, salinity velocity components and neutral
density output from the Southern Ocean State Estimate (SOSE) covering
years 2005-2010
</description>
<source>
[SOSE Website at UCSD]
(http://sose.ucsd.edu/sose_stateestimation_data_05to10.html)
</source>
<releasePolicy>
[Conditions of use]
(http://sose.ucsd.edu/sose_stateestimation_disclaimer.html): The data on
these webpages are made freely available for scientific, bona fide,
not-for-profit research only. If your use of the data is different (e.g.
commercial), you must contact the data providers and receive written
permission for your use of the data prior to any such use. The user must
acknowledge SOSE data in all products or publications that use them, e.g.
by including the following written note: "Computational resources for the
SOSE were provided by NSF XSEDE resource grant OCE130007." An appropriate
citation should also be made.
</releasePolicy>
<references>
[Mazloff et al. (2010)](http://doi.org/10.1175/2009JPO4236.1)
</references>
<bibtex>
@article{Mazloff2010,
author = {Matthew R. Mazloff and Patrick Heimbach and Carl Wunsch},
title = {An Eddy-Permitting Southern Ocean State Estimate},
journal = {Journal of Physical Oceanography},
volume = {40},
number = {5},
pages = {880-899},
year = {2010},
doi = {10.1175/2009JPO4236.1},
URL = {https://doi.org/10.1175/2009JPO4236.1}
}
</bibtex>
<dataUrls>
- http://sose.ucsd.edu/DATA/SO6_V2/grid.mat
- http://sose.ucsd.edu/DATA/SO6_V2/THETA_mnthlyBar.0000000100.data.gz
- http://sose.ucsd.edu/DATA/SO6_V2/THETA_mnthlyBar.0000000100.meta
- http://sose.ucsd.edu/DATA/SO6_V2/SALT_mnthlyBar.0000000100.data.gz
- http://sose.ucsd.edu/DATA/SO6_V2/SALT_mnthlyBar.0000000100.meta
- http://sose.ucsd.edu/DATA/SO6_V2/MLD_mnthlyBar.0000000100.data.gz
- http://sose.ucsd.edu/DATA/SO6_V2/MLD_mnthlyBar.0000000100.meta
- http://sose.ucsd.edu/DATA/SO6_V2/UVEL_mnthlyBar.0000000100.data.gz
- http://sose.ucsd.edu/DATA/SO6_V2/UVEL_mnthlyBar.0000000100.meta
- http://sose.ucsd.edu/DATA/SO6_V2/VVEL_mnthlyBar.0000000100.data.gz
- http://sose.ucsd.edu/DATA/SO6_V2/VVEL_mnthlyBar.0000000100.meta
- http://sose.ucsd.edu/DATA/SO6_V2/GAMMA_mnthlyBar.0000000100.data.gz
- http://sose.ucsd.edu/DATA/SO6_V2/GAMMA_mnthlyBar.0000000100.meta
</dataUrls>
<preprocessing>
preprocess_observations/preprocess_SOSE_data.py
</preprocessing>
<tasks>
- climatologyMapSose
- soseTransects
</tasks>
<subdirectory>
Ocean/SOSE
</subdirectory>
<nameInDocs>
sose
</nameInDocs>
</observation>
<observation>
<name>
Antarctic melt rates and fluxes
</name>
<component>
ocean
</component>
<description>
Melt rates and melt fluxes from Rignot et al. (2013)
</description>
<source>
[Ice-Shelf Melting Around Antarctica](http://science.sciencemag.org/content/341/6143/266)
</source>
<releasePolicy>
Data available upon request from co-author J. Mouginot.
</releasePolicy>
<references>
[Rignot et al. (2013)](http://science.sciencemag.org/content/341/6143/266)
</references>
<bibtex>
@article{Rignot2013,
title = {Ice-{Shelf} {Melting} {Around} {Antarctica}},
volume = {341},
url = {http://www.ncbi.nlm.nih.gov/pubmed/23765278},
doi = {10.1126/science.1235798},
number = {6143},
journal = {Science},
author = {Rignot, E. and Jacobs, S. and Mouginot, J. and Scheuchl, B.},
month = jul,
year = {2013},
pages = {266--270}
}
</bibtex>
<dataUrls>
- http://science.sciencemag.org/highwire/filestream/594977/field_highwire_adjunct_files/0/1235798tableS1.xlsx
- (data available upon request from J. Mouginot)
</dataUrls>
<preprocessing>
preprocess_observations/remap_rignot.py
</preprocessing>
<tasks>
- climatologyMapAntarcticMelt
- timeSeriesAntarcticMelt
</tasks>
<subdirectory>
Ocean/Melt
</subdirectory>
<nameInDocs>
rignot_melt
</nameInDocs>
</observation>
<observation>
<name>
Antarctic melt rates and fluxes
</name>
<component>
ocean
</component>
<description>
Melt rates and melt fluxes from Adusumilli et al. (2020)
</description>
<source>
[Data from: Interannual variations in meltwater input to the Southern Ocean from Antarctic ice shelves](https://doi.org/10.6075/J04Q7SHT)
</source>
<releasePolicy>
Under copyright (US)
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.
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.
</releasePolicy>
<references>
[Adusumilli et al. (2020)](https://doi.org/10.1038/s41561-020-0616-z)
</references>
<bibtex>
@article{Adusumilli2020,
title = {Interannual variations in meltwater input to the {Southern} {Ocean} from {Antarctic} ice shelves},
copyright = {2020 The Author(s), under exclusive licence to Springer Nature Limited},
issn = {1752-0908},
url = {https://www.nature.com/articles/s41561-020-0616-z},
doi = {10.1038/s41561-020-0616-z},
journal = {Nature Geoscience},
author = {Adusumilli, Susheel and Fricker, Helen Amanda and Medley,Brooke and Padman, Laurie and Siegfried, Matthew R.},
month = aug,
year = {2020},
note = {Publisher: Nature Publishing Group},
pages = {1--5}
}
</bibtex>
<dataUrls>
- http://library.ucsd.edu/dc/object/bb0448974g/_3_1.h5
</dataUrls>
<preprocessing>
preprocess_observations/preprocess_adusumilli_melt.py
</preprocessing>
<tasks>
- climatologyMapAntarcticMelt
- timeSeriesAntarcticMelt
</tasks>
<subdirectory>
Ocean/Melt/Adusumilli
</subdirectory>
<nameInDocs>
adusumilli_melt
</nameInDocs>
</observation>
<observation>
<name>
Antarctic melt rates and fluxes
</name>
<component>
ocean
</component>
<description>
Melt rates and melt fluxes from Paolo et al. (2023)
</description>
<source>
[Data from: ANT_G1920V01_IceShelfMelt.nc](https://doi.org/10.5067/SE3XH9RXQWAM)
</source>
<releasePolicy>
Not stated.
</releasePolicy>
<references>
[Paolo et al. (2023)](https://doi.org/10.5194/tc-17-3409-2023)
</references>
<bibtex>
@article{Paolo2023,
author = {Paolo, F. S. and Gardner, A. S. and Greene, C. A. and Nilsson, J. and Schodlok, M. P. and Schlegel, N.-J. and Fricker, H. A.},
title = {Widespread slowdown in thinning rates of West Antarctic ice shelves},
journal = {The Cryosphere},
volume = {17},
year = {2023},
number = {8},
pages = {3409--3433},
url = {https://tc.copernicus.org/articles/17/3409/2023/},
doi = {10.5194/tc-17-3409-2023}
}
</bibtex>
<dataUrls>
- https://its-live-data.s3.amazonaws.com/height_change/Antarctica/Floating/ANT_G1920V01_IceShelfMelt.nc
</dataUrls>
<preprocessing>
preprocess_observations/preprocess_paolo_melt.py
</preprocessing>
<tasks>
- climatologyMapAntarcticMelt
- timeSeriesAntarcticMelt
</tasks>
<subdirectory>
Ocean/Melt/Paolo
</subdirectory>
<nameInDocs>
paolo_melt
</nameInDocs>
</observation>
<observation>
<name>
HadISST Nino 3.4 Index
</name>
<component>
ocean
</component>
<description>
Nino 3.4 Index is computed from the Hadley-OI sea surface temperature
(SST) and sea ice concentration (SIC) data set. This product was
specifically developed as surface forcing data set for AMIP style
uncoupled simulations of the Community Atmosphere Model (CAM). The
Hadley Centre's SST/SIC version 1.1 (HADISST1), which is derived gridded,
bias-adjusted in situ observations, were merged with the NOAA-Optimal
Interpolation (version 2; OI.v2) analyses. The HADISST1 spanned 1870
onward but the OI.v2, which started in November 1981, better resolved
features such as the Gulf Stream and Kuroshio Current which are important
components of the climate system. Since the two data sets used different
development methods, anomalies from a base period were used to create
a more homogeneous record. Also, additional adjustments were made to
the SIC data set.
</description>
<source>
[NCAR Hadley-NOAA/OI SST website]
(https://climatedataguide.ucar.edu/climate-data/merged-hadley-noaaoi-sea-surface-temperature-sea-ice-concentration-hurrell-et-al-2008)
</source>
<releasePolicy>
Acknowledgment: Hurrell, J. W., J. J. Hack, D. Shea, J. M. Caron, and J. Rosinski,
2008: A New Sea Surface Temperature and Sea Ice Boundary Dataset for the Community
Atmosphere Model. Journal of Climate, 21, 5145-5153.
</releasePolicy>
<references>
[Hurrell et al. (2008)](https://doi.org/10.1175/2008JCLI2292.1)
</references>
<bibtex>
@article{Hurrell2008,
author = {James W. Hurrell and James J. Hack and Dennis Shea and Julie M. Caron and James Rosinski},
title = {A New Sea Surface Temperature and Sea Ice Boundary Dataset for the Community Atmosphere Model},
journal = {Journal of Climate},
volume = {21},
number = {19},
pages = {5145-5153},
year = {2008},
doi = {10.1175/2008JCLI2292.1},
URL = {https://doi.org/10.1175/2008JCLI2292.1}
}
</bibtex>
<dataUrls>
- ftp://ftp.cgd.ucar.edu/archive/SSTICE/MODEL.SST.HAD187001-198110.OI198111-201712.nc
</dataUrls>
<preprocessing>
(missing)
</preprocessing>
<tasks>
- indexNino34
</tasks>
<subdirectory>
Ocean/Nino/HadISST
</subdirectory>
<nameInDocs>
hadisst_nino
</nameInDocs>
</observation>
<observation>
<name>
ERS SSTv4 Nino 3.4 Index
</name>
<component>
ocean
</component>
<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.
</description>
<source>
[NOAA ERSST v4 website]
(https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v4)
</source>
<releasePolicy>
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].
</releasePolicy>
<references>
- [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)
</references>
<bibtex>
@article{Huang2014,
author = {Boyin Huang and Viva F. Banzon and Eric Freeman and Jay Lawrimore and Wei Liu
and Thomas C. Peterson and Thomas M. Smith and Peter W. Thorne and Scott D. Woodruff
and Huai-Min Zhang},
title = {Extended Reconstructed Sea Surface Temperature Version 4 (ERSST.v4).
Part I: Upgrades and Intercomparisons},
journal = {Journal of Climate},
volume = {28},
pages = {911-930},
year = {2014},
doi = {10.1175/JCLI-D-14-00006.1},
URL = {https://doi.org/10.1175/JCLI-D-14-00006.1}
}
@article{Liu2014,
author = {Wei Liu and Boyin Huang and Peter W. Thorne and Viva F. Banzon and
Huai-Min Zhang and Eric Freeman and Jay Lawrimore and Thomas C. Peterson and
Thomas M. Smith and Scott D. Woodruff},
title = {Extended Reconstructed Sea Surface Temperature Version 4 (ERSST.v4).
Part II. Parametric and Structural Uncertainty Estimations},
journal = {Journal of Climate},
volume = {28},
pages = {931-951},
year = {2014},
doi = {10.1175/JCLI-D-14-00007.1},
URL = {https://doi.org/10.1175/JCLI-D-14-00007.1}
}
@article{Huang2015,
author = {Boyin Huang and Peter W. Thorne and Thomas M. Smith and Wei Liu and
Jay Lawrimore and Viva F. Banzon and Huai-Min Zhang and Thomas C. Peterson and Matthew Menne},
title = {Further Exploring and Quantifying Uncertainties for Extended Reconstructed
Sea Surface Temperature (ERSST) Version 4 (v4)},
journal = {Journal of Climate},
volume = {29},
pages = {3119-3142},
year = {2015},
doi = {10.1175/JCLI-D-15-0430.1},
URL = {https://doi.org/10.1175/JCLI-D-15-0430.1}
}
</bibtex>
<dataUrls>
- https://www1.ncdc.noaa.gov/pub/data/cmb/ersst/v4/netcdf
</dataUrls>
<preprocessing>
(missing)
</preprocessing>
<tasks>
- indexNino34
</tasks>
<subdirectory>
Ocean/Nino/ERS_SSTv4
</subdirectory>
<nameInDocs>
ers_sst_nino
</nameInDocs>
</observation>
<observation>
<name>
Antarctic Seafloor Temperature and Salinity
</name>
<component>
ocean
</component>
<description>
Temporal means in conservative temperature and absolute salinity
of Antarctic Continental Shelf Bottom Water (ASBW) for depths shallower
than 1500 m for the period 1975 to 2012.
</description>
<source>
[ASCII data file](https://www.geomar.de/fileadmin/personal/fb1/po/sschmidtko/Antarctic_shelf_data.txt)
</source>
<releasePolicy>
(missings)
</releasePolicy>
<references>
[Schmidtko et al. (2014)](http://www.sciencemag.org/cgi/doi/10.1126/science.1256117)
</references>
<bibtex>
@article {Schmidtko2014,
author = {Schmidtko, Sunke and Heywood, Karen J. and Thompson, Andrew F. and Aoki, Shigeru},
title = {Multidecadal warming of Antarctic waters},
volume = {346},
number = {6214},
pages = {1227--1231},
year = {2014},
doi = {10.1126/science.1256117},
publisher = {American Association for the Advancement of Science},
issn = {0036-8075},
url = {http://science.sciencemag.org/content/346/6214/1227},
journal = {Science}
}
</bibtex>
<dataUrls>
- https://www.geomar.de/fileadmin/personal/fb1/po/sschmidtko/Antarctic_shelf_data.txt
</dataUrls>
<preprocessing>
preprocess_observations/preprocess_Schmidtko_data.py
</preprocessing>
<tasks>
- climatologyMapSchmidtko
</tasks>
<subdirectory>
Ocean/Schmidtko
</subdirectory>
<nameInDocs>
schmidtko
</nameInDocs>
</observation>
<observation>
<name>
WOCE sections
</name>
<component>
ocean
</component>
<description>
WOCE
----
The Hydrographic Programme of the international World Ocean Circulation
Experiment (WOCE) was a comprehensive global hydrographic survey of
physical and chemical properties, of unprecedented scope and quality, and
represents the "state of the oceans" during the 1990s.
The "Printed Atlas" is a copy of the published volume and contains full
introductory text. The "Digital Atlas" presents the same graphical
material, with additional properties and levels, ancillary data sets, and
bibliographic material for each of the vertical sections.
CCHDO
-----
The CCHDO's primary mission is to deliver the highest possible quality
global CTD and hydrographic data to users. These data are a product of
decades of observations related to the physical characteristics of ocean
waters carried out during WOCE, CLIVAR and numerous other oceanographic
research programs. Whenever possible we provide these data in three
easy-to-use formats: WHP-Exchange (which we recommend for data
submissions to the CCHDO), WOCE, and netCDF.
global Argo and OceanSITES programs.
</description>
<source>
- [WOCE Atlas Website](http://woceatlas.ucsd.edu/)
- [CCHDO](https://cchdo.ucsd.edu/)
</source>