scholarly journals Time Series Properties of Some Climatic Variables in Dinajpur District

2015 ◽  
Vol 6 (2) ◽  
pp. 127-137
Author(s):  
MJ Rahman ◽  
JA Syeda ◽  
M Nasser
Keyword(s):  
Climate Change ◽  
Time Series ◽  
Natural Resources ◽  
Climatic Change ◽  
Global Climate Change ◽  
Global Climate ◽  
Unit Roots ◽  
Cointegration Analysis ◽  
Statistical Tools ◽  
Local Climate

Several direct empirical time series investigations of global climate change and its impact have been studied by several world famous researchers. Some researches regarding local climatic change and its impact have been published but the time series properties of the variables related to national as well as local climate are yet to be able to have proper attention. The presence or absence of unit roots in these time series or inappropriate statistical tools may challenge the validity of the interpretations of their results and implies that cointegration analysis can be used to investigate the relation among variables. This article attempts to deduce time series properties of temperature, rainfall and humidity of Dinajpur district.DOI: http://dx.doi.org/10.3329/jesnr.v6i2.22109 J. Environ. Sci. & Natural Resources, 6(2): 127-137 2013

scholarly journals Modelling the productivity of Siberian larch forests from Landsat NDVI time series in fragmented forest stands of the Mongolian forest-steppe

2021 ◽  
Vol 193 (4) ◽  
Author(s):  
Stefan Erasmi ◽  
Michael Klinge ◽  
Choimaa Dulamsuren ◽  
Florian Schneider ◽  
Markus Hauck
Keyword(s):  
Climate Change ◽  
Time Series ◽  
Global Climate Change ◽  
Global Climate ◽  
Siberian Larch ◽  
Growing Season ◽  
Forest Productivity ◽  
Forest Steppe ◽  
Fragmented Forest ◽  
Southern Fringe

AbstractThe monitoring of the spatial and temporal dynamics of vegetation productivity is important in the context of carbon sequestration by terrestrial ecosystems from the atmosphere. The accessibility of the full archive of medium-resolution earth observation data for multiple decades dramatically improved the potential of remote sensing to support global climate change and terrestrial carbon cycle studies. We investigated a dense time series of multi-sensor Landsat Normalized Difference Vegetation Index (NDVI) data at the southern fringe of the boreal forests in the Mongolian forest-steppe with regard to the ability to capture the annual variability in radial stemwood increment and thus forest productivity. Forest productivity was assessed from dendrochronological series of Siberian larch (Larix sibirica) from 15 plots in forest patches of different ages and stand sizes. The results revealed a strong correlation between the maximum growing season NDVI of forest sites and tree ring width over an observation period of 20 years. This relationship was independent of the forest stand size and of the landscape’s forest-to-grassland ratio. We conclude from the consistent findings of our case study that the maximum growing season NDVI can be used for retrospective modelling of forest productivity over larger areas. The usefulness of grassland NDVI as a proxy for forest NDVI to monitor forest productivity in semi-arid areas could only partially be confirmed. Spatial and temporal inconsistencies between forest and grassland NDVI are a consequence of different physiological and ecological vegetation properties. Due to coarse spatial resolution of available satellite data, previous studies were not able to account for small-scaled land-cover patches like fragmented forest in the forest-steppe. Landsat satellite-time series were able to separate those effects and thus may contribute to a better understanding of the impact of global climate change on natural ecosystems.

scholarly journals Comparison of the Impact of Global Climate Changes and Urbanization on Summertime Future Climate in the Tokyo Metropolitan Area

2012 ◽  
Vol 51 (8) ◽  
pp. 1441-1454 ◽  
Author(s):  
Sachiho A. Adachi ◽  
Fujio Kimura ◽  
Hiroyuki Kusaka ◽  
Tomoshige Inoue ◽  
Hiroaki Ueda
Keyword(s):  
Climate Change ◽  
Metropolitan Area ◽  
Global Climate Change ◽  
Temperature Increase ◽  
Climate Changes ◽  
Global Climate ◽  
Local Climate ◽  
Tokyo Metropolitan Area ◽  
Global Climate Changes ◽  
The Impact

AbstractIn this study, the impact of global climate change and anticipated urbanization over the next 70 years is estimated with regard to the summertime local climate in the Tokyo metropolitan area (TMA), whose population is already near its peak now. First, five climate projections for the 2070s calculated with the aid of general circulation models (GCMs) are used for dynamical downscaling experiments to evaluate the impact of global climate changes using a regional climate model. Second, the sensitivity of future urbanization until the 2070s is examined assuming a simple developing urban scenario for the TMA. These two sensitivity analyses indicate that the increase in the surface air temperature from the 1990s to the 2070s is about 2.0°C as a result of global climate changes under the A1B scenario in the Intergovernmental Panel on Climate Change’s Special Report on Emissions Scenarios (SRES) and about 0.5°C as a result of urbanization. Considering the current urban heat island intensity (UHII) of 1.0°C, the possible UHII in the future reaches an average of 1.5°C in the TMA. This means that the mitigation of the UHII should be one of the ways to adapt to a local temperature increase caused by changes in the future global climate. In addition, the estimation of temperature increase due to global climate change has an uncertainty of about 2.0°C depending on the GCM projection, suggesting that the local climate should be projected on the basis of multiple GCM projections.

Wine, Place, and Identity in a Changing Climate

2003 ◽  
Vol 3 (2) ◽  
pp. 87-93 ◽  
Author(s):  
Robert Pincus
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Global Climate ◽  
Wine Industry ◽  
Local Climate ◽  
Changing Climate ◽  
Legal Structure ◽  
Wide Range ◽  
Place And Identity

The traditional connections between wine and location reflect local climate. Climate change threatens these connections, and vintners have a wide range of responses to this impending problem. This article explores the source of the associations between wines and locales, and outlines the causes for global climate change. Three wine makers describe how they might adapt to a changed climate. Their responses run the gamut from adaptation in the vineyard aimed at maintaining current styles, to radical reinvention of the societal and legal structure of the local wine industry.

scholarly journals SI: Survivability under Overheating: The Impact of Regional and Global Climate Change on the Vulnerable and Low-Income Population

Climate ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 122
Author(s):  
Afroditi Synnefa ◽  
Shamila Haddad ◽  
Priyadarsini Rajagopalan ◽  
Mattheos Santamouris
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Low Income ◽  
Underserved Populations ◽  
Global Climate ◽  
Mitigation Strategies ◽  
Local Climate ◽  
Low Income Population ◽  
Local Climate Change ◽  
The Impact

The present special issue discusses three significant challenges of the built environment, namely regional and global climate change, vulnerability, and survivability under the changing climate. Synergies between local climate change, energy consumption of buildings and energy poverty, and health risks highlight the necessity to develop mitigation strategies to counterbalance overheating impacts. The studies presented here assess the underlying issues related to urban overheating. Further, the impacts of temperature extremes on the low-income population and increased morbidity and mortality have been discussed. The increasing intensity, duration, and frequency of heatwaves due to human-caused climate change is shown to affect underserved populations. Thus, housing policies on resident exposure to intra-urban heat have been assessed. Finally, opportunities to mitigate urban overheating have been proposed and discussed.

scholarly journals Global and Local Discourses on Climate Change: A Perspective from the Concept of Embeddedness

1970 ◽  
Vol 4 ◽  
pp. 143-180 ◽  
Author(s):  
Jailab Kumar Rai
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Global Climate ◽  
National Policy ◽  
Local Climate ◽  
Cultural Discourses ◽  
Political Processes ◽  
Local Climate Change ◽  
Local Discourses ◽  
Global And Local

Climate change has been becoming a major order of business of all including researchers and academics. This is known that global, national and local organizations, institutions and even the individuals are partaking into the issues with their own perspectives and skills of negotiations. Despite the series of international efforts and attempts, there are also a series of national concerns, efforts and attempts in combating against the effects of global climate change. This paper is an attempt to draw on the overview of contexts and concerns of international communities for combating global climate change and its discursive influence in national policy discourses. Moreover, the paper attempts to assess the local socio-cultural discourses and dynamics of climate change in relation to global and national discourses. Finally the paper highlights on how global and local climate change knowledge networks and epistemic communities either from political processes or the socio-economic fabrics are interrelated and determinant to each other. Keywords: climate change; discourses; embeddeness; dynamics; global; local DOI: 10.3126/dsaj.v4i0.4518 Dhaulagiri Journal of Sociology and Anthropology Vol.4 2010 pp.143-180

scholarly journals Detection of anthropogenic climate change in satellite records of ocean chlorophyll and productivity

2010 ◽  
Vol 7 (2) ◽  
pp. 621-640 ◽  
Author(s):  
S. A. Henson ◽  
J. L. Sarmiento ◽  
J. P. Dunne ◽  
L. Bopp ◽  
I. Lima ◽  
...  
Keyword(s):  
Climate Change ◽  
Time Series ◽  
Primary Production ◽  
Global Climate Change ◽  
Decadal Variability ◽  
Global Climate ◽  
Warming Trend ◽  
Ocean Colour ◽  
Ocean Productivity ◽  
The Impact

Abstract. Global climate change is predicted to alter the ocean's biological productivity. But how will we recognise the impacts of climate change on ocean productivity? The most comprehensive information available on its global distribution comes from satellite ocean colour data. Now that over ten years of satellite-derived chlorophyll and productivity data have accumulated, can we begin to detect and attribute climate change-driven trends in productivity? Here we compare recent trends in satellite ocean colour data to longer-term time series from three biogeochemical models (GFDL, IPSL and NCAR). We find that detection of climate change-driven trends in the satellite data is confounded by the relatively short time series and large interannual and decadal variability in productivity. Thus, recent observed changes in chlorophyll, primary production and the size of the oligotrophic gyres cannot be unequivocally attributed to the impact of global climate change. Instead, our analyses suggest that a time series of ~40 years length is needed to distinguish a global warming trend from natural variability. In some regions, notably equatorial regions, detection times are predicted to be shorter (~20–30 years). Analysis of modelled chlorophyll and primary production from 2001–2100 suggests that, on average, the climate change-driven trend will not be unambiguously separable from decadal variability until ~2055. Because the magnitude of natural variability in chlorophyll and primary production is larger than, or similar to, the global warming trend, a consistent, decades-long data record must be established if the impact of climate change on ocean productivity is to be definitively detected.

scholarly journals Mapping the increased minimum mortality temperatures in the context of global climate change

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Qian Yin ◽  
Jinfeng Wang ◽  
Zhoupeng Ren ◽  
Jie Li ◽  
Yuming Guo
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Global Climate ◽  
Global Scale ◽  
Limited Evidence ◽  
Important Indicator ◽  
Local Climate ◽  
Human Adaptability ◽  
Minimum Mortality Temperature ◽  
First Time

Abstract Minimum mortality temperature (MMT) is an important indicator to assess the temperature–mortality relationship. It reflects human adaptability to local climate. The existing MMT estimates were usually based on case studies in data rich regions, and limited evidence about MMT was available at a global scale. It is still unclear what the most significant driver of MMT is and how MMT will change under global climate change. Here, by analysing MMTs in 420 locations covering six continents (Antarctica was excluded) in the world, we found that although the MMT changes geographically, it is very close to the local most frequent temperature (MFT) in the same period. The association between MFT and MMT is not changed when we adjust for latitude and study year. Based on the MFT~MMT association, we estimate and map the global distribution of MMTs in the present (2010s) and the future (2050s) for the first time.

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