116 research outputs found
Classification and modelling of urban micro-climates using multisensoral and multitemporal remote sensing data
Remote sensing has widely been used in urban climatology since it has the advantage of a simultaneous synoptic view of the full
urban surface. Methods include the analysis of surface temperature patterns, spatial (biophysical) indicators for urban heat island
modelling, and flux measurements. Another approach is the automated classification of urban morphologies or structural types.
In this study it was tested, whether Local Climate Zones (a new typology of thermally 'rather' homogenous urban morphologies) can
be automatically classified from multisensor and multitemporal earth observation data. Therefore, a large number of parameters
were derived from different datasets, including multitemporal Landsat data and morphological profiles as well as windowed
multiband signatures from an airborne IFSAR-DHM.
The results for Hamburg, Germany, show that different datasets have high potential for the differentiation of urban morphologies.
Multitemporal thermal data performed very well with up to 96.3 % overall classification accuracy with a neuronal network
classifier. The multispectral data reached 95.1 % and the morphological profiles 83.2 %.The multisensor feature sets reached up to
97.4 % with 100 selected features, but also small multisensoral feature sets reached good results. This shows that microclimatic
meaningful urban structures can be classified from different remote sensing datasets.
Further, the potential of the parameters for spatiotemporal modelling of the mean urban heat island was tested. Therefore, a
comprehensive mobile measurement campaign with GPS loggers and temperature sensors on public buses was conducted in order to
gain in situ data in high spatial and temporal resolution
Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities
Progress in urban climate science is severely restricted by the lack of useful information that describes aspects of the form and function of cities at a detailed spatial resolution. To overcome this shortcoming we are initiating an international effort to develop the World Urban Database and Access Portal Tools (WUDAPT) to gather and disseminate this information in a consistent manner for urban areas worldwide. The first step in developing WUDAPT is a description of cities based on the Local Climate Zone (LCZ) scheme, which classifies natural and urban landscapes into categories based on climate-relevant surface properties. This methodology provides a culturally-neutral framework for collecting information about the internal physical structure of cities. Moreover, studies have shown that remote sensing data can be used for supervised LCZ mapping. Mapping of LCZs is complicated because similar LCZs in different regions have dissimilar spectral properties due to differences in vegetation, building materials and other variations in cultural and physical environmental factors. The WUDAPT protocol developed here provides an easy to understand workflow; uses freely available data and software; and can be applied by someone without specialist knowledge in spatial analysis or urban climate science. The paper also provides an example use of the WUDAPT project results
Quantitative reconstruction of precipitation changes on the NE Tibetan Plateau since the Last Glacial Maximum – extending the concept of pollen source area to pollen-based climate reconstructions from large lakes
Pollen records from large lakes have been used for quantitative
palaeoclimate reconstruction, but the influences that lake size (as a result
of species-specific variations in pollen dispersal patterns that smaller
pollen grains are more easily transported to lake centre) and taphonomy have
on these climatic signals have not previously been systematically
investigated. We introduce the concept of pollen source area to pollen-based
climate calibration using the north-eastern Tibetan
Plateau as our study area. We present a pollen data set collected from large
lakes in the arid to semi-arid region of central Asia. The influences that
lake size and the inferred pollen source areas have on pollen compositions
have been investigated through comparisons with pollen assemblages in
neighbouring lakes of various sizes. Modern pollen samples collected from
different parts of Lake Donggi Cona (in the north-eastern part of the
Tibetan Plateau) reveal variations in pollen assemblages within this large
lake, which are interpreted in terms of the species-specific dispersal and
depositional patterns for different types of pollen, and in terms of fluvial
input components. We have estimated the pollen source area for each lake
individually and used this information to infer modern climate data with
which to then develop a modern calibration data set, using both the
multivariate regression tree (MRT) and weighted-averaging partial least
squares (WA-PLS) approaches. Fossil pollen data from Lake Donggi Cona have
been used to reconstruct the climate history of the north-eastern part of
the Tibetan Plateau since the Last Glacial Maximum (LGM). The mean annual
precipitation was quantitatively reconstructed using WA-PLS: extremely dry
conditions are found to have dominated the LGM, with annual precipitation of
around 100 mm, which is only 32% of present-day precipitation. A
gradually increasing trend in moisture conditions during the Late Glacial is
terminated by an abrupt reversion to a dry phase that lasts for about 1000 yr
and coincides with "Heinrich event 1" in the North Atlantic
region. Subsequent periods corresponding to the Bølling/Allerød
interstadial, with annual precipitation (<i>P</i><sub>ann</sub>) of about 350 mm, and the
Younger Dryas event (about 270 mm <i>P</i><sub>ann</sub>) are followed by moist
conditions in the early Holocene, with annual precipitation of up to 400 mm.
A drier trend after 9 cal. ka BP is followed by a second wet phase in the
middle Holocene, lasting until 4.5 cal. ka BP. Relatively steady conditions
with only slight fluctuations then dominate the late Holocene, resulting in
the present climatic conditions. The climate changes since the LGM have been
primarily driven by deglaciation and fluctuations in the intensity of the
Asian summer monsoon that resulted from changes in the Northern Hemisphere
summer solar insolation, as well as from changes in the North Atlantic
climate through variations in the circulation patterns and intensity of the
westerlies
Water sources and mixing in riparian wetlands revealed by tracers and geospatial analysis
Acknowledgments We thank the European Research Council (ERC) (project GA 335910 VEWA) and Natural Environment Research Council (NERC) (project NE/K000268/1) for funding and the Airborne Research and Survey Facility for conducting the aerial survey. The data used are available from the authors. In addition, we would like to thank the additional support from Audrey Innes for the sample analysis and Maria Blumstock and Mike Kennedy for assisting with field work.Peer reviewedPublisher PD
Soil Respiration in Tibetan Alpine Grasslands: Belowground Biomass and Soil Moisture, but Not Soil Temperature, Best Explain the Large-Scale Patterns
The Tibetan Plateau is an essential area to study the potential feedback effects of soils to climate change due to the rapid rise in its air temperature in the past several decades and the large amounts of soil organic carbon (SOC) stocks, particularly in the permafrost. Yet it is one of the most under-investigated regions in soil respiration (Rs) studies. Here, Rs rates were measured at 42 sites in alpine grasslands (including alpine steppes and meadows) along a transect across the Tibetan Plateau during the peak growing season of 2006 and 2007 in order to test whether: (1) belowground biomass (BGB) is most closely related to spatial variation in Rs due to high root biomass density, and (2) soil temperature significantly influences spatial pattern of Rs owing to metabolic limitation from the low temperature in cold, high-altitude ecosystems. The average daily mean Rs of the alpine grasslands at peak growing season was 3.92 µmol CO2 m−2 s−1, ranging from 0.39 to 12.88 µmol CO2 m−2 s−1, with average daily mean Rs of 2.01 and 5.49 µmol CO2 m−2 s−1 for steppes and meadows, respectively. By regression tree analysis, BGB, aboveground biomass (AGB), SOC, soil moisture (SM), and vegetation type were selected out of 15 variables examined, as the factors influencing large-scale variation in Rs. With a structural equation modelling approach, we found only BGB and SM had direct effects on Rs, while other factors indirectly affecting Rs through BGB or SM. Most (80%) of the variation in Rs could be attributed to the difference in BGB among sites. BGB and SM together accounted for the majority (82%) of spatial patterns of Rs. Our results only support the first hypothesis, suggesting that models incorporating BGB and SM can improve Rs estimation at regional scale
Diverging climate trends in Mongolian taiga forests influence growth and regeneration of Larix sibirica
Central and semiarid north-eastern Asia was subject to twentieth century warming far above the global average. Since forests of this region occur at their drought limit, they are particularly vulnerable to climate change. We studied the regional variations of temperature and precipitation trends and their effects on tree growth and forest regeneration in Mongolia. Tree-ring series from more than 2,300 trees of Siberian larch (Larix sibirica) collected in four regions of Mongolia’s forest zone were analyzed and related to available weather data. Climate trends underlie a remarkable regional variation leading to contrasting responses of tree growth in taiga forests even within the same mountain system. Within a distance of a few hundred kilometers (140–490 km), areas with recently reduced growth and regeneration of larch alternated with regions where these parameters remained constant or even increased. Reduced productivity could be correlated with increasing summer temperatures and decreasing precipitation; improved growth conditions were found at increasing precipitation, but constant summer temperatures. An effect of increasing winter temperatures on tree-ring width or forest regeneration was not detectable. Since declines of productivity and regeneration are more widespread in the Mongolian taiga than the opposite trend, a net loss of forests is likely to occur in the future, as strong increases in temperature and regionally differing changes in precipitation are predicted for the twenty-first century
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