334 research outputs found
Cloud and ice in the planetary scale circulation and in climate
The roles of the cryosphere, and of cloud-radiative interactions are investigated. The effects clouds and ice have in the climate system are examined. The cloud radiation research attempts explain the modes of interaction (feedback) between raditive transfer, cloud formation, and atmospheric dynamics. The role of sea ice in weather and climate is also discussed. Models are used to describe the ice and atmospheric dynamics under study
Reexamining the barrier effect of the Tibetan Plateau on the South Asian summer monsoon
The Tibetan Plateau has been conventionally treated as an elevated heat
source driving the Asian monsoon system, especially for the South Asian
monsoon. Numerous model simulations with general circulation models (GCMs)
support this hypothesis with the finding that the Asian monsoon system is
weak or absent when all elevated topography is removed. A recent model
simulation shows that the South Asian summer monsoon circulation is little
affected with only the Himalayas (no-Tibetan Plateau) kept as a barrier,
leading to a hypothesis of the barrier "blocking" mechanism of the Tibetan
Plateau. In this paper, a new series of experiments are designed to reexamine
this barrier effect. We find that with the barrier, the large-scale summer
monsoon circulation over South Asia is simulated in general agreement with
the full Tibetan Plateau, which is consistent with the previous finding.
However, there remains significant differences in both wind and precipitation
fields, suggesting a role for the full Tibetan Plateau as well. Moreover, the
proposed barrier blocking mechanism is not found in our experiments. The
energy of the low-level air and the convection are lower and weaker over the
Indian subcontinent in the full Tibetan Plateau experiment than that in the
no-Tibetan Plateau experiment or the barrier only experiment, which is in
contrast to the barrier blocking hypothesis. Instead, there is a similar
candle-like latent heating in the middle troposphere along the southern edge
of the Tibetan Plateau in both the full Tibetan Plateau and the barrier
experiments, whereas this "candle heating" disappears in the no-Tibetan
Plateau experiment. We propose that this candle heating is the key to
understanding the mechanisms of the Tibetan Plateau on the South Asian
monsoon. Future studies are needed to check the source of the "candle
heating" and its effect on the Asian monsoon
Investigating the topology of interacting networks - Theory and application to coupled climate subnetworks
Network theory provides various tools for investigating the structural or
functional topology of many complex systems found in nature, technology and
society. Nevertheless, it has recently been realised that a considerable number
of systems of interest should be treated, more appropriately, as interacting
networks or networks of networks. Here we introduce a novel graph-theoretical
framework for studying the interaction structure between subnetworks embedded
within a complex network of networks. This framework allows us to quantify the
structural role of single vertices or whole subnetworks with respect to the
interaction of a pair of subnetworks on local, mesoscopic and global
topological scales.
Climate networks have recently been shown to be a powerful tool for the
analysis of climatological data. Applying the general framework for studying
interacting networks, we introduce coupled climate subnetworks to represent and
investigate the topology of statistical relationships between the fields of
distinct climatological variables. Using coupled climate subnetworks to
investigate the terrestrial atmosphere's three-dimensional geopotential height
field uncovers known as well as interesting novel features of the atmosphere's
vertical stratification and general circulation. Specifically, the new measure
"cross-betweenness" identifies regions which are particularly important for
mediating vertical wind field interactions. The promising results obtained by
following the coupled climate subnetwork approach present a first step towards
an improved understanding of the Earth system and its complex interacting
components from a network perspective
Late Holocene climate: Natural or anthropogenic?
For more than a decade, scientists have argued about the warmth of the current interglaciation. Was the warmth of the preindustrial late Holocene natural in origin, the result of orbital changes that had not yet driven the system into a new glacial state? Or was it in considerable degree the result of humans intervening in the climate system through greenhouse gas emissions from early agriculture? Here we summarize new evidence that moves this debate forward by testing both hypotheses. By comparing late Holocene responses to those that occurred during previous interglaciations (in section 2), we assess whether the late Holocene responses look different (and thus anthropogenic) or similar (and thus natural). This comparison reveals anomalous (anthropogenic) signals. In section 3, we review paleoecological and archaeological syntheses that provide ground truth evidence on early anthropogenic releases of greenhouse gases. The available data document large early anthropogenic emissions consistent with the anthropogenic ice core anomalies, but more information is needed to constrain their size. A final section compares natural and anthropogenic interpretations of the δ13C trend in ice core CO2
Modeled microbial dynamics explain the apparent temperature sensitivity of wetland methane emissions
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Late Holocene climate: Natural or anthropogenic?
For more than a decade, scientists have argued about the warmth of the current interglaciation. Was the warmth of the preindustrial late Holocene natural in origin, the result of orbital changes that had not yet driven the system into a new glacial state? Or was it in considerable degree the result of humans intervening in the climate system through greenhouse gas emissions from early agriculture? Here we summarize new evidence that moves this debate forward by testing both hypotheses. By comparing late Holocene responses to those that occurred during previous interglaciations (in section 2), we assess whether the late Holocene responses look different (and thus anthropogenic) or similar (and thus natural). This comparison reveals anomalous (anthropogenic) signals. In section 3, we review paleoecological and archaeological syntheses that provide ground truth evidence on early anthropogenic releases of greenhouse gases. The available data document large early anthropogenic emissions consistent with the anthropogenic ice core anomalies, but more information is needed to constrain their size. A final section compares natural and anthropogenic interpretations of the δ¹³C trend in ice core CO₂
A 16-year record (2002–2017) of permafrost, active-layer, and meteorological conditions at the Samoylov Island Arctic permafrost research site, Lena River delta, northern Siberia: an opportunity to validate remote-sensing data and land surface, snow, and permafrost models
Most of the world's permafrost is located in the
Arctic, where its frozen organic carbon content makes it a potentially
important influence on the global climate system. The Arctic climate appears
to be changing more rapidly than the lower latitudes, but observational data
density in the region is low. Permafrost thaw and carbon release into the
atmosphere, as well as snow cover changes, are positive feedback mechanisms
that have the potential for climate warming. It is therefore particularly
important to understand the links between the energy balance, which can vary
rapidly over hourly to annual timescales, and permafrost conditions, which
changes slowly on decadal to centennial timescales. This requires long-term
observational data such as that available from the Samoylov research site in
northern Siberia, where meteorological parameters, energy balance, and
subsurface observations have been recorded since 1998. This paper presents
the temporal data set produced between 2002 and 2017, explaining the
instrumentation, calibration, processing, and data quality control.
Furthermore, we present a merged data set of the parameters, which were
measured from 1998 onwards. Additional data include a high-resolution digital
terrain model (DTM) obtained from terrestrial lidar laser scanning. Since the
data provide observations of temporally variable parameters that influence
energy fluxes between permafrost, active-layer soils, and the atmosphere
(such as snow depth and soil moisture content), they are suitable for
calibrating and quantifying the dynamics of permafrost as a component in
earth system models. The data also include soil properties beneath different
microtopographic features (a polygon centre, a rim, a slope, and a trough),
yielding much-needed information on landscape heterogeneity for use in land
surface modelling.
For the record from 1998 to 2017, the average mean annual air temperature
was −12.3 ∘C, with mean monthly temperature of the warmest month
(July) recorded as 9.5 ∘C and for the coldest month (February)
−32.7 ∘C. The average annual rainfall was 169 mm. The depth of
zero annual amplitude is at 20.75 m. At this depth, the temperature has
increased from −9.1 ∘C in 2006 to −7.7 ∘C in 2017.
The presented data are freely available through the PANGAEA
(https://doi.org/10.1594/PANGAEA.891142) and Zenodo
(https://zenodo.org/record/2223709, last access: 6 February 2019) websites.</p
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