<?xml version="1.0" encoding="utf-8"?><!DOCTYPE rss PUBLIC "-//Netscape Communications//DTD RSS 0.91//EN" "http://my.netscape.com/publish/formats/rss-0.91.dtd"><rss version="0.91"><channel><title>ESSDD - Latest Articles</title><link>http://www.earth-syst-sci-data-discuss.net/</link> <description>Earth System Science Data Discussions Latest Articles</description><language>en</language><item><title>Technical details concerning development of a 1200-yr proxy index for global volcanism</title><link>http://www.earth-syst-sci-data-discuss.net/5/1/2012/</link><description>&lt;b&gt;Technical details concerning development of a 1200-yr proxy index for global volcanism&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 5, 1-28, 2012&lt;br /&gt;&lt;br /&gt;Author(s): T. J. Crowley and M. B. Unterman&lt;br /&gt;&lt;br /&gt;This technical report describes details of developing a
volcano forcing reconstruction (Crowley et al., 2008) for climate models
that is based primarily on sulphate records in Antarctic and Greenland ice
cores. The chronology of eruptions is considered accurate to within 1 yr
for the interval AD 1104–2000 and 2 yr for AD 800–1103. The
reconstruction involves: (1) calibration against satellite aerosol optical
depth (AOD) estimates of the 1991 Pinatubo/Hudson eruptions; (2) partial
validation against independent lunar estimates of AOD and global sulphate
emissions; (3) partial assessment of uncertainties in AOD estimates;
(4) assessment of possible tropical &quot;false positives&quot; in ice core
reconstructions due to simultaneous occurrence of mid/high-latitude
eruptions in each hemisphere; (5) identification of a new category of
eruptions, termed &quot;unipolar&quot; tropical eruptions, in which the eruption plume
penetrates mainly to polar regions in only the hemisphere of its eruption;
(6) use of different growth curves for high- and low-latitude eruptions;
(7) specification of 2/3 power shortwave scaling for eruptions larger than the
1991 Pinatubo eruption; and (8) compensatory introduction of an estimate of
effective particle size that affects lifetime and scattering properties of
stratospheric aerosols.</description><pubDate>Thu, 26 Jan 2012 00:00:00 +0100</pubDate></item><item><title>King George Island ice cap geometry updated with airborne GPR measurements</title><link>http://www.earth-syst-sci-data-discuss.net/4/123/2011/</link><description>&lt;b&gt;King George Island ice cap geometry updated with airborne GPR measurements&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 4, 123-139, 2011&lt;br /&gt;&lt;br /&gt;Author(s): M. Rückamp and N. Blindow&lt;br /&gt;&lt;br /&gt;Ice geometry is a mandatory requirement for numerical modelling purposes. In
this paper we present a consistent data set for the ice thickness, the
bedrock topography and the ice surface topography of the King George Island
ice cap (Arctowski Icefield and the adjacent central part). The newly data
set is composed of groundbased and airborne Ground Penetrating Radar
(GPR) and differential GPS (DGPS) measurements, obtained during several field
campaigns. Blindow et al. (2010) already provided a comprehensive overview
of the groundbased measurements carried out in the safely accessible
area of the ice cap. The updated data set incorporates airborne
measurements in the heavily crevassed coastal areas.
Therefore, in this paper special attention is paid to the airborne measurements
by addressing the used instrument, survey, and data processing in more detail.
In particular, the inclusion of airborne GPR measurements with the 30 MHz
BGR-P30-System developed at the Institute of Geophysics (University of Münster)
completes the picture of the ice geometry substantially. The compiled digital
elevation model of the bedrock shows a rough, highly variable topography with
pronounced valleys, ridges, and troughs. Mean ice thickness is ~240 m, with a maximum value of
~400 m in the surveyed area. Noticeable
are bounded areas in the bedrock topography below sea level where marine based
ice exists. The provided data set is required as a basis for future monitoring
attempts or as input for numerical modelling experiments. The data set is
available from the PANGAEA database at &lt;a href=&quot;http://dx.doi.org/10.1594/PANGAEA.770567&quot;&gt;doi:10.1594/PANGAEA.770567&lt;/a&gt;.</description><pubDate>Thu, 08 Dec 2011 00:00:00 +0100</pubDate></item><item><title>Data recovery of A06 and A07 WOCE cruises</title><link>http://www.earth-syst-sci-data-discuss.net/4/99/2011/</link><description>&lt;b&gt;Data recovery of A06 and A07 WOCE cruises&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 4, 99-122, 2011&lt;br /&gt;&lt;br /&gt;Author(s): N. M. Fajar, F. F. Pérez, A. Velo, and A. F. Ríos&lt;br /&gt;&lt;br /&gt;The WOCE cruises were carried out during the 1990s and were included in
GLODAP, which is an easily usable, available and fully calibrated global
database. A&lt;sub&gt;T&lt;/sub&gt; and C&lt;sub&gt;T&lt;/sub&gt; data, together with the rest of carbon
variables, were subjected to rigorous quality control and some adjustments
were done assuming biases, in case of A&lt;sub&gt;T&lt;/sub&gt; and C&lt;sub&gt;T&lt;/sub&gt;, not greater than
±6 μmol kg&lt;sup&gt;−1&lt;/sup&gt; and ±4 μmol kg&lt;sup&gt;−1&lt;/sup&gt;, respectively.
The A06 and A07 cruises were deleted from GLODAP database owing to A&lt;sub&gt;T&lt;/sub&gt;
and C&lt;sub&gt;T&lt;/sub&gt; data were not suitable for analysis. However, these data are
still available in CLIVAR and Carbon Hydrographic Data Office web site,
demonstrated the unreliable quality of A&lt;sub&gt;T&lt;/sub&gt; and C&lt;sub&gt;T&lt;/sub&gt;, but contrarily,
the more realistic profiles of pH data. The main goal of the present work is
to recover A&lt;sub&gt;T&lt;/sub&gt; and C&lt;sub&gt;T&lt;/sub&gt; data of A06 and A07 using GLODAP database
combining with CARINA database and the most contemporary cruise
MOC&lt;sup&gt;2&lt;/sup&gt;Equatorial 2010. Thus, A&lt;sub&gt;T&lt;/sub&gt; data of A06 and A07 will be renewed
using directly these data in a particular application of Multiple Linear
Regression: the 3-D moving window MLR estimation method. Moreover, C&lt;sub&gt;T&lt;/sub&gt;
data will be recalculated using the &lt;span style=&quot;border-bottom: 1px solid #000; vertical-align: 50%;
font-size: .7em; color: #000;&quot;&gt;C&lt;sub&gt;T&lt;/sub&gt;&lt;/span&gt;&lt;span style=&quot;margin-left: -1.3em;
margin-right: .5em; vertical-align: -15%; font-size: .7em; color:
#000;&quot;&gt;A&lt;sub&gt;T&lt;/sub&gt;&lt;/span&gt; 
ratio together with the obtained results from the crossovers analysis
method. In order to demonstrate the quality of the recovered A&lt;sub&gt;T&lt;/sub&gt; and
C&lt;sub&gt;T&lt;/sub&gt;, the new pH has been calculated, showing the good agreement in terms
of pH obtained between A06 and A07 related to MOC&lt;sup&gt;2&lt;/sup&gt;. To sum up, the
entire carbon databases of A06 and A07 were checked and recovered.</description><pubDate>Fri, 21 Oct 2011 00:00:00 +0200</pubDate></item><item><title>Proglacial river dataset from the Akuliarusiarsuup Kuua River northern tributary, Southwest Greenland, 2008–2010</title><link>http://www.earth-syst-sci-data-discuss.net/4/71/2011/</link><description>&lt;b&gt;Proglacial river dataset from the Akuliarusiarsuup Kuua River northern tributary, Southwest Greenland, 2008–2010&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 4, 71-97, 2011&lt;br /&gt;&lt;br /&gt;Author(s): A. K. Rennermalm, L. C. Smith, V. W. Chu, R. R. Forster, J. E. Box, and B. Hagedorn&lt;br /&gt;&lt;br /&gt;Pressing scientific questions concerning the Greenland ice sheet's climatic
sensitivity, hydrology, and contributions to current and future sea level
rise require hydrological datasets to resolve. While direct observations of
ice sheet meltwater losses can be obtained in terrestrial rivers draining
the ice sheet and from lake levels, few such datasets exist. We present a
new dataset of meltwater river discharge for the vicinity of Kangerlussuaq,
Southwest Greenland. The dataset contains measurements of river water level
and discharge for three sites along the Akuliarusiarsuup Kuua (Watson)
River's northern tributary, with 30 min temporal resolution between June
2008 and August 2010. Additional data of water temperature, air pressure,
and lake water level and temperature are also provided. Discharge data were
measured at sites with near-ideal properties for such data collection.
Regardless, high water bedload and turbulent flow introduce considerable
uncertainty. These were constrained and quantified using statistical
techniques, which revealed that the greatest discharge  data uncertainties are
associated with streambed elevation change and measurements. Large portions
of stream channels deepened according to statistical tests, but poor
precision of streambed depth measurements also added uncertainty. Data will
periodically be extended, and are available in Open Access at
&lt;a href=&quot;http://dx.doi.org/10.1594/PANGAEA.762818&quot;target=&quot;_blank&quot;&gt;doi:10.1594/PANGAEA.762818&lt;/a&gt;.</description><pubDate>Wed, 14 Sep 2011 00:00:00 +0200</pubDate></item><item><title>Simulation of the time-variable gravity field by means of coupled geophysical models</title><link>http://www.earth-syst-sci-data-discuss.net/4/27/2011/</link><description>&lt;b&gt;Simulation of the time-variable gravity field by means of coupled geophysical models&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 4, 27-70, 2011&lt;br /&gt;&lt;br /&gt;Author(s): Th. Gruber, J. L. Bamber, M. F. P. Bierkens, H. Dobslaw, M. Murböck, M. Thomas, L. P. H. van Beek, T. van Dam, L. L. A. Vermeersen, and P. N. A. M. Visser&lt;br /&gt;&lt;br /&gt;Time variable gravity fields, reflecting variations of mass distribution in
the system Earth is one of the key parameters to understand the changing
Earth. Mass variations are caused either by redistribution of mass in, on or
above the Earth's surface or by geophysical processes in the Earth's
interior. The first set of observations of monthly variations of the Earth
gravity field was provided by the US/German GRACE satellite mission
beginning in 2002. This mission is still providing valuable information to
the science community. However, as GRACE has outlived its expected lifetime,
the geoscience community is currently seeking successor missions in order to
maintain the long time series of climate change that was begun by GRACE.
Several studies on science requirements and technical feasibility have been
conducted in the recent years. These studies required a realistic model of
the time variable gravity field in order to perform simulation studies on
sensitivity of satellites and their instrumentation. This was the primary
reason for the European Space Agency (ESA) to initiate a study on
&quot;Monitoring and Modelling individual Sources of Mass Distribution and
Transport in the Earth System by Means of Satellites&quot;. The goal of this
interdisciplinary study was to create as realistic as possible simulated
time variable gravity fields based on coupled geophysical models, which
could be used in the simulation processes in a controlled environment. For
this purpose global atmosphere, ocean, continental hydrology and ice models
were used. The coupling was performed by using consistent forcing throughout
the models and by including water flow between the different domains of the
Earth system. In addition gravity field changes due to solid Earth processes
like continuous glacial isostatic adjustment (GIA) and a sudden earthquake
with co-seismic and post-seismic signals were modelled. All individual model
results were combined and converted to gravity field spherical harmonic
series, which is the quantity commonly used to describe the Earth's global
gravity field. The result of this study is a twelve-year time-series of
6-hourly time variable gravity field spherical harmonics up to degree and
order 180 corresponding to a global spatial resolution of 1 degree in
latitude and longitude. In this paper, we outline the input data sets and
the process of combining these data sets into a coherent model of temporal
gravity field changes. The resulting time series was used in some follow-on
studies and is available to anybody interested via a Website.</description><pubDate>Thu, 07 Jul 2011 00:00:00 +0200</pubDate></item><item><title>Observations of the altitude of the volcanic plume during the eruption of Eyjafjallajökull, April–May 2010</title><link>http://www.earth-syst-sci-data-discuss.net/4/1/2011/</link><description>&lt;b&gt;Observations of the altitude of the volcanic plume during the eruption of Eyjafjallajökull, April–May 2010&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 4, 1-25, 2011&lt;br /&gt;&lt;br /&gt;Author(s): P. Arason, G. N. Petersen, and H. Bjornsson&lt;br /&gt;&lt;br /&gt;The eruption of Eyjafjallajökull volcano in 2010 lasted for 39 days,
14 April–23 May. The eruption had two explosive phases separated by
a phase with lava formation and reduced explosive activity. The height
of the plume was monitored every 5 min with a C-band weather radar
located in Keflavík International Airport, 155 km distance from the
volcano. Furthermore, several web cameras were mounted with a view of
the volcano, and their images saved every five seconds. Time series of
the plume-top altitude were constructed from the radar observations
and images from a web camera located in the village Hvolsvöllur at 34 km distance from the volcano. This paper presents the independent
radar and web camera time series and performs cross
validation. The echo top radar series of the altitude of
the volcanic plume are publicly available from the Pangaea Publishing
Network (&lt;a href=&quot;http://doi.pangaea.de/10.1594/PANGAEA.760690&quot; target=&quot;_blank&quot;&gt;http://doi.pangaea.de/10.1594/PANGAEA.760690&lt;/a&gt;).</description><pubDate>Mon, 23 May 2011 00:00:00 +0200</pubDate></item><item><title>Polar baseline surface radiation measurements during the International Polar Year 2007–2009</title><link>http://www.earth-syst-sci-data-discuss.net/3/259/2010/</link><description>&lt;b&gt;Polar baseline surface radiation measurements during the International Polar Year 2007–2009&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 3, 259-279, 2010&lt;br /&gt;&lt;br /&gt;Author(s): C. Lanconelli, M. Busetto, E. G. Dutton, G. König-Langlo, M. Maturilli, R. Sieger, V. Vitale, and T. Yamanouchi&lt;br /&gt;&lt;br /&gt;Downwelling and upwelling shortwave and longwave radiation components from
six active polar sites, taking part of the Baseline Surface Radiation Network
(BSRN), were selected for the period of the last International Polar Year
(March 2007 to March 2009), and included in the BSRN-IPY dataset, along with
metadata and supplementary data for some of the stations. Two sites, located
at Svalbard archipelago (Ny Ålesund) and Alaska (Barrow), represent
Arctic sea-level conditions. Four Antarctic stations represent both sea-level
(Dronning Maud Land and Cosmonaut Sea) and high-elevation conditions (South
Pole and East Antarctic Plateau). The BSRN-IPY dataset content and quality
are discussed. The dataset is now available at doi:10.1594/PANGAEA.737668 (to
resolve a DOI name use &lt;a href=&quot;http://dx.doi.org/&quot; target=&quot;_blank&quot;&gt;http://dx.doi.org&lt;/a&gt;), and can be used for free after
accepting the BSRN data release guidelines.</description><pubDate>Wed, 22 Sep 2010 00:00:00 +0200</pubDate></item><item><title>A consistent dataset of Antarctic ice sheet topography, cavity geometry, and global bathymetry</title><link>http://www.earth-syst-sci-data-discuss.net/3/231/2010/</link><description>&lt;b&gt;A consistent dataset of Antarctic ice sheet topography, cavity geometry, and global bathymetry&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 3, 231-257, 2010&lt;br /&gt;&lt;br /&gt;Author(s): R. Timmermann, A. Le Brocq, T. Deen, E. Domack, P. Dutrieux, B. Galton-Fenzi, H. Hellmer, A. Humbert, D. Jansen, A. Jenkins, A. Lambrecht, K. Makinson, F. Niederjasper, F. Nitsche, O. A. Nøst, L. H. Smedsrud, and W. H. F. Smith&lt;br /&gt;&lt;br /&gt;Sub-ice shelf circulation and freezing/melting rates in ocean general
circulation models depend critically on an accurate and consistent
representation of cavity geometry. Existing global or pan-Antarctic data sets
have turned out to contain various inconsistencies and inaccuracies. The goal
of this work is to compile independent regional fields into a global data
set. We use the S-2004 global 1-min bathymetry as the backbone and add an
improved version of the BEDMAP topography (ALBMAP bedrock topography) for an
area that roughly coincides with the Antarctic continental shelf. The
position of the merging line is individually chosen in different sectors in
order to get the best out of each data set. High-resolution gridded data for
ice shelf topography and cavity geometry of the Amery,
Fimbul, Filchner-Ronne, Larsen C and George VI Ice Shelves, and for Pine
Island Glacier are carefully merged into the ambient ice and ocean
topographies. Multibeam survey data for bathymetry in the former Larsen B
cavity and the southeastern Bellingshausen Sea have been obtained from the
data centers of Alfred Wegener Institute (AWI), British Antarctic Survey
(BAS) and Lamont-Doherty Earth Observatory (LDEO), gridded, and blended into
the existing bathymetry map. The resulting global 1-min topography data
set (RTopo-1) contains maps for upper and lower ice surface heights, bedrock topography, and consistent masks for open ocean, grounded ice, floating ice,
and bare land surface. The data set is available in NetCDF format from the
PANGAEA database at doi:10.1594/pangaea.741917.</description><pubDate>Thu, 29 Jul 2010 00:00:00 +0200</pubDate></item><item><title>An improved Antarctic dataset for high resolution numerical ice sheet models (ALBMAP v1)</title><link>http://www.earth-syst-sci-data-discuss.net/3/195/2010/</link><description>&lt;b&gt;An improved Antarctic dataset for high resolution numerical ice sheet models (ALBMAP v1)&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 3, 195-230, 2010&lt;br /&gt;&lt;br /&gt;Author(s): A. M. Le Brocq, A. J. Payne, and A. Vieli&lt;br /&gt;&lt;br /&gt;The dataset described in this paper (ALBMAP) has been created for the
purposes of high-resolution numerical ice sheet modelling of the Antarctic
Ice Sheet. It brings together data on the ice sheet configuration (e.g. ice
surface and ice thickness) and boundary conditions, such as the surface air
temperature, accumulation and geothermal heat flux. The ice thickness and
basal topography is based on the BEDMAP dataset (Lythe et al., 2001),
however, there are a number of inconsistencies within BEDMAP and, since its
release, more data has become available. The dataset described here
addresses these inconsistencies, including some novel interpolation schemes
for sub ice-shelf cavities, and incorporates some major new datasets. The
inclusion of new datasets is not exhaustive, this considerable task is left
for the next release of BEDMAP, however, the data and procedure documented
here provides another step forward and demonstrates the issues that need
addressing in a continental scale dataset useful for high resolution ice
sheet modelling. The dataset provides an initial condition that is as close
as possible to present-day ice sheet configuration, aiding modelling of the
response of the Antarctic Ice Sheet to various forcings, which are, at
present, not fully understood.</description><pubDate>Mon, 28 Jun 2010 00:00:00 +0200</pubDate></item><item><title>The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data – HOAPS-3</title><link>http://www.earth-syst-sci-data-discuss.net/3/143/2010/</link><description>&lt;b&gt;The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data – HOAPS-3&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 3, 143-194, 2010&lt;br /&gt;&lt;br /&gt;Author(s): A. Andersson, K. Fennig, C. Klepp, S. Bakan, H. Graßl, and J. Schulz&lt;br /&gt;&lt;br /&gt;The availability of microwave instruments on satellite platforms allows the
retrieval of essential water cycle components at high quality for improved
understanding and evaluation of water processes in climate modelling.
HOAPS-3, the latest version of the satellite climatology &quot;Hamburg Ocean
Atmosphere Parameters and Fluxes from Satellite Data&quot; provides fields of
turbulent heat fluxes, evaporation, precipitation, freshwater flux and
related atmospheric variables over the global ice-free ocean. This paper
describes the content, methodology and retrievals of the HOAPS climatology. A
sophisticated processing chain, including all available &lt;i&gt;Special Sensor
Microwave Imager&lt;/i&gt; (SSM/I) instruments aboard the satellites of the
Defense Meteorological Satellites Program (DMSP) and careful inter-sensor
calibration, ensures a homogeneous time-series with dense data sampling and
hence detailed information of the underlying weather situations. The
completely reprocessed data set with a continuous time series from 1987 to
2005 contains neural network based algorithms for precipitation and wind
speed and &lt;i&gt;Advanced Very High Resolution Radiometer&lt;/i&gt; (AVHRR) based SST
fields. Additionally, a new 85 GHz synthesis procedure for the defective
SSM/I channels on DMSP F08 from 1989 on has been implemented. Freely
available monthly and pentad means, twice daily composites and scan-based
data make HOAPS-3 a versatile data set for studying ocean-atmosphere
interaction on different temporal and spatial scales. HOAPS-3 data products
are available via &lt;a href=&quot;http://www.hoaps.org&quot; target=&quot;_blank&quot;&gt;http://www.hoaps.org&lt;/a&gt;.</description><pubDate>Wed, 19 May 2010 00:00:00 +0200</pubDate></item><item><title>Data of hydraulic properties of North East and Central German soils</title><link>http://www.earth-syst-sci-data-discuss.net/3/131/2010/</link><description>&lt;b&gt;Data of hydraulic properties of North East and Central German soils&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 3, 131-142, 2010&lt;br /&gt;&lt;br /&gt;Author(s): U. Schindler and L. Müller&lt;br /&gt;&lt;br /&gt;The paper presents a data base of soil hydrological
properties of North East and Central German soils. Included are measured
data of the soil water retention curve and the unsaturated hydraulic
conductivity function. Information to geo reference, soil type and horizon
are given. Additional soil physical data like particle size distribution,
dry bulk density, organic matter content and other variables are presented
and its measurement is methodically described. The data base includes
original measurement results of 278 organic and of 497 mineral soil samples
from 103 sites. The mineral soils cover a wide range of texture classes and
dry bulk densities. The organic soils and samples vary in dependence on the
degree of decomposition and mineralization, the dry bulk density and the
total porosity.</description><pubDate>Tue, 11 May 2010 00:00:00 +0200</pubDate></item><item><title>EPOCA/EUR-OCEANS data-mining compilation on the impacts of ocean acidification</title><link>http://www.earth-syst-sci-data-discuss.net/3/109/2010/</link><description>&lt;b&gt;EPOCA/EUR-OCEANS data-mining compilation on the impacts of ocean acidification&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 3, 109-130, 2010&lt;br /&gt;&lt;br /&gt;Author(s): A.-M. Nisumaa, S. Pesant, R. G. J. Bellerby, B. Delille, J. Middelburg, J. C. Orr, U. Riebesell, T. Tyrrell, D. Wolf-Gladrow, and J.-P. Gattuso&lt;br /&gt;&lt;br /&gt;The uptake of anthropogenic CO&lt;sub&gt;2&lt;/sub&gt; by the oceans has led to a rise in the
oceanic partial pressure of CO&lt;sub&gt;2&lt;/sub&gt;, and to a decrease in pH and carbonate
ion concentration. This modification of the marine carbonate system is
referred to as ocean acidification. Numerous papers report the effects of
ocean acidification on marine organisms and communities but few have
provided details concerning full carbonate chemistry and complementary
observations. Additionally, carbonate system variables are often reported in
different units, calculated using different sets of dissociation constants
and on different pH scales. Hence the direct comparison of experimental
results has been problematic and often misleading. The need was identified
to (1) gather data on carbonate chemistry, biological and biogeochemical
properties, and other ancillary data from published experimental data, (2) transform
the information into common framework, and (3) make data freely
available. The present paper is the outcome of an effort to integrate ocean
carbonate chemistry data from the literature which has been supported by the
European Network of Excellence for Ocean Ecosystems Analysis (EUR-OCEANS)
and the European Project on Ocean Acidification (EPOCA). A total of 166
papers were identified, 86 contained enough information to readily compute
carbonate chemistry variables, and 67 datasets were archived at PANGAEA –
The Publishing Network for Geoscientific &amp; Environmental Data. This data
compilation is regularly updated as an ongoing mission of EPOCA.

&lt;br&gt;&lt;br&gt;
Data access: &lt;a href=&quot;http://doi.pangaea.de/10.1594/PANGAEA.735138&quot; target=&quot;_blank&quot;&gt;http://doi.pangaea.de/10.1594/PANGAEA.735138&lt;/a&gt;</description><pubDate>Tue, 30 Mar 2010 00:00:00 +0200</pubDate></item><item><title>Measuring hydrodynamics and sediment transport processes in the Dee estuary</title><link>http://www.earth-syst-sci-data-discuss.net/3/79/2010/</link><description>&lt;b&gt;Measuring hydrodynamics and sediment transport processes in the Dee estuary&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 3, 79-107, 2010&lt;br /&gt;&lt;br /&gt;Author(s): R. Bolaños and A. Souza&lt;br /&gt;&lt;br /&gt;The capability of monitoring and predicting the marine environment leads to
a more sustainable development of coastal and offshore regions. Therefore,
the continuous measurement of environmental processes become an important
source of information. The present paper shows data collected during 6 years, and in particular during 2008, in the Dee Estuary. The data aims to
improve the observations of the mobile sediments in coastal areas and its
forcing hydrodynamics and turbulence. Data involves the deployment of
instrumented rigs measuring sediment in suspension, currents, waves, sea
level, sediment size and bedforms as well as cruise work including grab
sampling, CTD profiles and side-scan sonar. The data covers flood and ebb
tides during spring and neap periods with moderate and mild wave events,
thus, having a good coverage of the processes needed to improve knowledge of
sediment transport and the parameterizations used in numerical modelling.
The data, in raw and treated, is being banked at BODC (British Oceanographic
Data Centre, &lt;a href=&quot;http://www.bodc.ac.uk/&quot; target=&quot;_blank&quot;&gt;http://www.bodc.ac.uk/&lt;/a&gt;) which is the formal
British organization for looking after and distributing data concerning the
marine environment.</description><pubDate>Wed, 03 Mar 2010 00:00:00 +0100</pubDate></item><item><title>Nordic Seas nutrients data in CARINA</title><link>http://www.earth-syst-sci-data-discuss.net/3/55/2010/</link><description>&lt;b&gt;Nordic Seas nutrients data in CARINA&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 3, 55-78, 2010&lt;br /&gt;&lt;br /&gt;Author(s): J. Olafsson and A. Olsen&lt;br /&gt;&lt;br /&gt;Water column data of carbon and carbon relevant hydrographic and
hydrochemical parameters from 188 previously non-publicly available cruises
in the Arctic, Atlantic, and Southern Ocean have been retrieved and merged
into a new database: CARINA (CARbon IN the Atlantic). The data have been
subject to rigorous quality control (QC) in order to ensure highest possible
quality and consistency. The data for most of the parameters included were
examined in order to quantify systematic biases in the reported values, i.e.
secondary quality control. Significant biases have been corrected for in the
data products, i.e.~the three merged files with measured, calculated and
interpolated values for each of the three CARINA regions; the Arctic
Mediterranean Seas (AMS), the Atlantic (ATL) and the Southern Ocean (SO).
With the adjustments, the CARINA database is consistent both internally as
well as with GLODAP (Key et al., 2004) and is suitable
for accurate assessments of, for example, oceanic carbon inventories and
uptake rates, and for model validation. The Arctic Mediterranean Seas is the
collective term for the Arctic Ocean and the Nordic Seas, and the quality
control was carried out separately in these two areas. This contribution
presents an account of the quality control of the nutrients (nitrate,
phosphate, and silicate) data from the Nordic Seas in CARINA. Out of the 35
cruises from the Nordic Seas included in CARINA, 33 had nutrients data. The
nitrate data from 4 of these appeared to be of so poor quality that they
should not be used, for phosphate this number is 7 and for silicate it is 3.
We also recommend that the nitrate data from 4 of the cruises should be
adjusted, for phosphate and silicate only data from one cruise should be
adjusted. The final data appears consistent to 5% based on evaluation of
deep data. For nitrate this corresponds to 0.6 &amp;mu;mol kg&lt;sup&gt;&amp;minus;1&lt;/sup&gt;, and for
phosphate and silicate it corresponds to 0.04 and 0.6 &amp;mu;mol kg&lt;sup&gt;&amp;minus;1&lt;/sup&gt;,
respectively.</description><pubDate>Wed, 03 Mar 2010 00:00:00 +0100</pubDate></item><item><title>NORPERM, the Norwegian Permafrost Database – a TSP NORWAY IPY legacy</title><link>http://www.earth-syst-sci-data-discuss.net/3/27/2010/</link><description>&lt;b&gt;NORPERM, the Norwegian Permafrost Database – a TSP NORWAY IPY legacy&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 3, 27-54, 2010&lt;br /&gt;&lt;br /&gt;Author(s): H. Juliussen, H. H. Christiansen, G. S. Strand, S. Iversen, K. Midttømme, and J. S. Rønning&lt;br /&gt;&lt;br /&gt;NORPERM – The Norwegian Permafrost Database was developed at the Geological
Survey of Norway during the International Polar Year (IPY) 2007–2009 as the
main data legacy of the IPY research project &lt;i&gt;Permafrost Observatory Project: A Contribution to the Thermal State of Permafrost in Norway and Svalbard&lt;/i&gt; (TSP NORWAY). This paper
describes the structural and technical design of NORPERM. NORPERM follows
the IPY data policy of open, free, full and timely release of IPY data, and
the borehole metadata description follows the Global Terrestrial Network for
Permafrost (GTN-P) standard. The ground temperature data infrastructure in
Norway and Svalbard is also presented, focussing on the TSP NORWAY
permafrost observatory installations in the &lt;i&gt;North Scandinavian Permafrost Observatory&lt;/i&gt; and &lt;i&gt;Nordenskiöld Land Permafrost Observatory&lt;/i&gt;, as the data providers for
NORPERM. Further developments of the database, possibly towards a regional
database for the Nordic area, are also discussed.

&lt;br&gt;&lt;br&gt;
The purpose of NORPERM is to store ground temperature data safely and in a
standard format for use in future research. NORPERM stores temperature time
series from various depths in boreholes and from the air, snow cover,
ground-surface or upper ground layer recorded by miniature temperature
data-loggers, and temperature profiles with depth in boreholes obtained by
occasional manual logging. It contains all the temperature data from the TSP
NORWAY research project, totalling 32 boreholes and 98 sites with miniature
temperature data-loggers for continuous monitoring of micrometeorological
conditions, and 6 temperature depth profiles obtained by manual borehole
logging. The amount of data in the database will gradually increase as data
from older, previous projects are added. NORPERM also provides links to near
real-time permafrost temperatures obtained by GSM data transfer.</description><pubDate>Tue, 23 Feb 2010 00:00:00 +0100</pubDate></item><item><title>CARINA TCO&lt;sub&gt;2&lt;/sub&gt; data in the Atlantic Ocean</title><link>http://www.earth-syst-sci-data-discuss.net/3/1/2010/</link><description>&lt;b&gt;CARINA TCO&lt;sub&gt;2&lt;/sub&gt; data in the Atlantic Ocean&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 3, 1-26, 2010&lt;br /&gt;&lt;br /&gt;Author(s): D. Pierrot, P. Brown, S. Van Heuven, T. Tanhua, U. Schuster, R. Wanninkhof, and R. M. Key&lt;br /&gt;&lt;br /&gt;Water column data of carbon and carbon-relevant hydrographic and
hydrochemical parameters from 188 cruises in the Arctic, Atlantic and
Southern Ocean have been retrieved and merged in a new data base: the CARINA
(CARbon IN the Atlantic) Project. These data have gone through rigorous
quality control (QC) procedures to assure the highest possible quality and
consistency. Secondary quality control, which involved objective study of
data in order to quantify systematic differences in the reported values, was
performed for the pertinent parameters in the CARINA data base. Systematic
biases in the data have been corrected in the data products. The products
are three merged data files with measured, adjusted and interpolated data of
all cruises for each of the three CARINA regions (Arctic, Atlantic and
Southern Ocean). Ninety-eight cruises were conducted in the &quot;Atlantic&quot;
defined as the region south of the Greenland-Iceland-Scotland Ridge and
north of about 30&amp;deg; S. Here we report the details of the secondary QC
which was done on the total dissolved inorganic carbon (TCO&lt;sub&gt;2&lt;/sub&gt;) data and
the adjustments that were applied to yield the final data product in the
Atlantic. Procedures of quality control – including crossover analysis
between stations and inversion analysis of all crossover data – are briefly
described. Adjustments were applied to TCO&lt;sub&gt;2&lt;/sub&gt; measurements for 17 of the
cruises in the Atlantic Ocean region. With these adjustments, the CARINA
data base is consistent both internally as well as with GLODAP data, an
oceanographic data set based on the WOCE Hydrographic Program in the 1990s,
and is now suitable for accurate assessments of, for example, regional
oceanic carbon inventories, uptake rates and model validation.</description><pubDate>Mon, 11 Jan 2010 00:00:00 +0100</pubDate></item><item><title>The CARINA data synthesis project: introduction and overview</title><link>http://www.earth-syst-sci-data-discuss.net/2/579/2009/</link><description>&lt;b&gt;The CARINA data synthesis project: introduction and overview&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 2, 579-624, 2009&lt;br /&gt;&lt;br /&gt;Author(s): R. M. Key, T. Tanhua, A. Olsen, M. Hoppema, S. Jutterström, C. Schirnick, S. van Heuven, A. Kozyr, X. Lin, A. Velo, D. W. R. Wallace, and L. Mintrop&lt;br /&gt;&lt;br /&gt;The original goal of the CARINA (Carbon in Atlantic Ocean) data synthesis
project was to create a merged calibrated data set from open ocean
subsurface measurements by European scientists that would be generally
useful for biogeochemical investigations in the North Atlantic and in
particular, studies involving the carbon system. Over time the geographic
extent expanded to include the entire Atlantic, the Arctic and the Southern
Ocean and the international collaboration broadened significantly. In this
paper we give a brief history of the project, a general overview of data
included and an outline of the procedures used during the synthesis.

&lt;br&gt;&lt;br&gt;
The end result of this project was a set of 3 data products, one for each of
the listed ocean regions. It is critical that anyone who uses any of the
CARINA data products recognize that the data products are not simply
concatenations of the originally measured values. Rather, the data have been
through an extensive calibration procedure designed to remove measurement
bias and bad data. Also a significant fraction of the individual values in
the data products were derived either by direct calculation or some means of
approximation. These data products were constructed for basin scale
biogeochemical investigations and may be inappropriate for investigations
involving small areal extent or similar detailed analyses. More information
on specific parts of this project can be found in companion articles in this
issue. In particular, Tanhua et al. (2009) and Tanhua (2009) describe the
procedures and software used to remove measurement bias from the original
data.

&lt;br&gt;&lt;br&gt;
The three data products and a significant volume of supporting information
are available from the CARINA web site hosted by the Carbon Dioxide
Information Analysis Center (CDIAC: 
&lt;a href=&quot;http://cdiac.esd.ornl.gov/oceans/CARINA/Carina_inv.html&quot; target=&quot;_blank&quot;&gt;http://cdiac.esd.ornl.gov/oceans/CARINA/Carina_inv.html&lt;/a&gt;). Anyone
wanting to use the data is advised to get the highest version number of each
data product. Incremental versions represent either corrections or
additions. The web site documents specifics of the changes.</description><pubDate>Thu, 03 Dec 2009 00:00:00 +0100</pubDate></item><item><title>Assessing the internal consistency of the CARINA data base in the Pacific sector of the Southern Ocean</title><link>http://www.earth-syst-sci-data-discuss.net/2/555/2009/</link><description>&lt;b&gt;Assessing the internal consistency of the CARINA data base in the Pacific sector of the Southern Ocean&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 2, 555-578, 2009&lt;br /&gt;&lt;br /&gt;Author(s): C. L. Sabine, M. Hoppema, R. M. Key, B. Tilbrook, S. van Heuven, C. Lo Monaco, N. Metzl, M. Ishii, A. Murata, and S. Musielewicz&lt;br /&gt;&lt;br /&gt;The CARINA project is aimed at gathering and providing secondary quality
control checks on carbon and carbon-relevant hydrographic and geochemical
data from cruises all across the Atlantic, Arctic and Southern Ocean. In
total the project gathered 188 cruises that were not previously available to
the public. Of these 188 cruises, 37 are part of the Southern Ocean.
Parameters from the Southern Ocean cruises, including total carbon dioxide
(TCO&lt;sub&gt;2&lt;/sub&gt;), total alkalinity, oxygen, nitrate, phosphate and silicate, were
examined for cruise-to-cruise consistency. pH and chlorofluorocarbons (CFCs)
are also part of the data base, but are not discussed here. This paper
focuses on the quality control of the Southern Ocean data from the Pacific
sector which consisted of 29 cruises of which 17 were included in a previous
synthesis called GLODAP, 11 were new cruises from the CARINA dataset, and
one cruise was included in GLODAP but was updated with new data and
therefore also included in CARINA. The Pacific sector quality control
procedures included crossover analysis between stations and inversion
analysis of all crossover data. The GLODAP data were included into the
analysis as reference cruises but without applying the GLODAP recommended
adjustments so the corrections could be independently verified. The outcome
of this effort is an internally consistent, high-quality carbon data set for
all cruises, including the reference cruises.</description><pubDate>Wed, 11 Nov 2009 00:00:00 +0100</pubDate></item><item><title>Nordic Seas dissolved oxygen data in CARINA</title><link>http://www.earth-syst-sci-data-discuss.net/2/537/2009/</link><description>&lt;b&gt;Nordic Seas dissolved oxygen data in CARINA&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 2, 537-553, 2009&lt;br /&gt;&lt;br /&gt;Author(s): E. Falck and A. Olsen&lt;br /&gt;&lt;br /&gt;Water column data of carbon and carbon relevant hydrographic and
hydrochemical parameters from 188 previously non-publicly available cruises
in the Arctic, Atlantic, and Southern Ocean have been retrieved and merged
into a new database: CARINA (CARbon IN the Atlantic). The data have been
subject to rigorous quality control (QC) in order to ensure highest possible
quality and consistency. The data for most of the parameters included were
examined in order to quantify systematic biases in the reported values,
i.e. secondary quality control. Significant biases have been corrected for in the
data products, i.e. the three merged files with measured, calculated, and
interpolated values for each of the three CARINA regions; the Arctic
Mediterranean Seas (AMS), the Atlantic (ATL), and the Southern Ocean (SO).
With the adjustments the CARINA database is consistent both internally as
well as with GLODAP (Key et al., 2004) and is suitable for accurate
assessments of, for example, oceanic carbon inventories and uptake rates and
for model validation. The Arctic Mediterranean Seas includes the Arctic
Ocean and the Nordic Seas (Greenland, Norwegian, and Iceland Seas), and the
quality control was carried out separately in these two areas. This
contribution presents an account of the quality control of the dissolved
oxygen data from the Nordic Seas in CARINA. Out of the 35 cruises from the
Nordic Seas included in CARINA, 32 had oxygen data. The data from 4 of these
were found to be biased low and were subject to adjustment. Thus the final
CARINA data product contains oxygen data from 32 cruises from the Nordic
Seas, and these data appear consistent to &amp;plusmn;1% (corresponds to &amp;plusmn;3 μmol kg&lt;sup&gt;&amp;minus;1&lt;/sup&gt; in the deep water).</description><pubDate>Thu, 22 Oct 2009 00:00:00 +0200</pubDate></item><item><title>Nordic Seas and Arctic Ocean CFC data in CARINA</title><link>http://www.earth-syst-sci-data-discuss.net/2/493/2009/</link><description>&lt;b&gt;Nordic Seas and Arctic Ocean CFC data in CARINA&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Earth System Science Data Discussions, 2, 493-536, 2009&lt;br /&gt;&lt;br /&gt;Author(s): E. Jeansson, K. A. Olsson, T. Tanhua, and J. L. Bullister&lt;br /&gt;&lt;br /&gt;Water column data of carbon and carbon relevant hydrographic and
hydrochemical parameters from 188 previously non-publicly available cruises
in the Arctic, Atlantic, and Southern Ocean have been retrieved and merged
into a new database: CARINA (CARbon IN the Atlantic). The data have been
subject to rigorous quality control (QC) in order to ensure highest possible
quality and consistency. The data for most of the parameters included were
examined in order to quantify systematic biases in the reported values, i.e. secondary quality control. Significant biases have been corrected for in the
data products, i.e. the three merged files with measured, calculated and
interpolated values for each of the three CARINA regions; the Arctic
Mediterranean Seas (AMS), the Atlantic (ATL) and the Southern Ocean (SO).
The Arctic Mediterranean Seas is comprised of the Arctic Ocean and the
Nordic Seas, and the quality control was carried out separately in these two
areas.

&lt;br&gt;&lt;br&gt;
Here we present an overview of the QC of the CFC data for the Arctic
Mediterranean Seas, including the chlorofluorocarbons CFC-11, CFC-12 and
CFC-113, as well as carbon tetrachloride (CCl&lt;sub&gt;4&lt;/sub&gt;). For the secondary QC
of the CFCs we used a combination of tools, including the evaluation of
depth profiles and CFC ratios, surface saturations and a crossover analysis.
This resulted in a multiplicative adjustment of some cruise data, while some
other cruises were flagged with questionable quality, which excluded them
from the final data product.</description><pubDate>Fri, 16 Oct 2009 00:00:00 +0200</pubDate></item></channel></rss>
