scholarly journals Curve Number (CN) as Pressure Indicator of the Hydrological Condition under Global Warming Scenarios at a Local Scale in La Mojana Region, Colombia

2018 ◽  
Vol 11 (29) ◽  
pp. 1-12
Author(s):  
Alvaro J. Zabaleta ◽  
Teobaldis Mercado ◽  
Jose Luis Marrugo ◽  
Jhon Jairo Feria Diaz ◽  
◽  
...  
Keyword(s):  
Global Warming ◽  
Curve Number ◽  
Local Scale ◽  
Hydrological Condition ◽  
Pressure Indicator

scholarly journals Localness in Climate Change

2020 ◽  
Vol 40 (1) ◽  
pp. 7-16 ◽  
Author(s):  
Theodore G. Shepherd ◽  
Adam H. Sobel
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Climate Science ◽  
Local Scale ◽  
Normative Approach ◽  
Starting Point ◽  
Ethical Choices ◽  
Irreducible Uncertainty ◽  
Scientific Questions ◽  
Current Paradigm

Abstract Climate change is a global problem, yet it is experienced at the local scale, in ways that are both place-specific and specific to the accidents of weather history. This article takes the dichotomy between the global and the local as a starting point to develop a critique of the normative approach within climate science, which is global in various ways and thereby fails to bring meaning to the local. The article discusses the ethical choices implicit in the current paradigm of climate prediction, how irreducible uncertainty at the local scale can be managed by suitable reframing of the scientific questions, and some particular epistemic considerations that apply to climate change in the global South. The article argues for an elevation of the narrative and for a demotion of the probabilistic from its place of privilege in the construction and communication of our understanding of global warming and its local consequences.

scholarly journals Trends in Thailand’s Extreme Temperature Indices during 1955-2018 and Their Relationship with Global Mean Temperature Change

2020 ◽  
pp. 94-107
Author(s):  
Atsamon Limsakul
Keyword(s):  
Global Warming ◽  
Extreme Temperature ◽  
Local Scale ◽  
Maximum Temperature ◽  
Temperature Extremes ◽  
Global Mean Temperature ◽  
Temperature Distributions ◽  
Mean Temperature ◽  
Temperature Indices ◽  
Global Mean

Trends in Thailand’s extreme temperature indices and their relationship with global mean temperature (GMT) change are analyzed, based on longer quality controlled temperature data during 1955–2018. Widespread significant trends of extreme temperature indices with a clear warming evident in all indices are observed, consistent with the earlier results and general global warming. Changes associated with the upper tails of the minimum and maximum temperature distributions are the dominant feature of Thailand’s extreme temperature indices accounting for more than 65% of the total variance. Analysis of the probability distribution functions (PDFs) of combined extreme temperature indices further shows significant shifts in their distributions toward warmer conditions in the recent decades. The results suggest that daytime and nighttime temperatures in Thailand have become more extreme and that the changes are related to shifts in multiple aspects of the daily temperature distributions. With long-term temperature records, this study provides more confident and robust evidence of trends in Thailand’s temperature extremes occurred since the second half of 20th century. Another noteworthy finding is that most of Thailand’s extreme temperature indices show a distinct linear relationship with GMT, indicating that local-scale changes in temperatures and its extreme at local scale are related almost linearly to GMT change. The extrapolated values of the indices with strong linearity with GMT show substantial distinction with nearly 50% increase between 2 global warming levels set by Paris Agreement, highlighting that half a degree increase in GMT will lead to greatly increase in Thailand’s temperature extremes.

scholarly journals Forest resilience to global warming is strongly modulated by local‐scale topographic, microclimatic and biotic conditions

2021 ◽  
Author(s):  
Jofre Carnicer ◽  
Maria Vives‐Ingla ◽  
Laura Blanquer ◽  
Xavier Méndez‐Camps ◽  
Carme Rosell ◽  
...  
Keyword(s):  
Global Warming ◽  
Local Scale ◽  
Forest Resilience

scholarly journals Resource communication: Variability in estimated runoff in a forested area based on different cartographic data sources

2017 ◽  
Vol 26 (2) ◽  
pp. eRC02
Author(s):  
Laura Fragoso ◽  
Elia Quirós ◽  
Pablo Durán-Barroso
Keyword(s):  
Canopy Cover ◽  
Curve Number ◽  
Local Scale ◽  
Tree Canopy ◽  
Data Sources ◽  
Forested Watershed ◽  
Forested Area ◽  
Tree Canopy Cover ◽  
Forested Areas ◽  
Best Fit

Aim of study: The goal of this study is to analyse variations in curve number (CN) values produced by different cartographic data sources in a forested watershed, and determine which of them best fit with measured runoff volumes.Area of study: A forested watershed located in western Spain.Material and methods: Four digital cartographic data sources were used to determine the runoff CN in the watershed.Main results: None of the cartographic sources provided all the information necessary to determine properly the CN values. Our proposed methodology, focused on the tree canopy cover, improves the achieved results.Research highlights: The estimation of the CN value in forested areas should be attained as a function of tree canopy cover and new calibrated tables should be implemented in a local scale.

Modelling ecosystem adaptation and dangerous rates of global warming

2019 ◽  
Vol 3 (2) ◽  
pp. 221-231 ◽  
Author(s):  
Rebecca Millington ◽  
Peter M. Cox ◽  
Jonathan R. Moore ◽  
Gabriel Yvon-Durocher
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Diffusion Rate ◽  
Individual Species ◽  
Genetic Evolution ◽  
Rates Of Change ◽  
Rapid Climate Change ◽  
Warming Climate ◽  
Intraspecies Competition ◽  
High Trait

Abstract We are in a period of relatively rapid climate change. This poses challenges for individual species and threatens the ecosystem services that humanity relies upon. Temperature is a key stressor. In a warming climate, individual organisms may be able to shift their thermal optima through phenotypic plasticity. However, such plasticity is unlikely to be sufficient over the coming centuries. Resilience to warming will also depend on how fast the distribution of traits that define a species can adapt through other methods, in particular through redistribution of the abundance of variants within the population and through genetic evolution. In this paper, we use a simple theoretical ‘trait diffusion’ model to explore how the resilience of a given species to climate change depends on the initial trait diversity (biodiversity), the trait diffusion rate (mutation rate), and the lifetime of the organism. We estimate theoretical dangerous rates of continuous global warming that would exceed the ability of a species to adapt through trait diffusion, and therefore lead to a collapse in the overall productivity of the species. As the rate of adaptation through intraspecies competition and genetic evolution decreases with species lifetime, we find critical rates of change that also depend fundamentally on lifetime. Dangerous rates of warming vary from 1°C per lifetime (at low trait diffusion rate) to 8°C per lifetime (at high trait diffusion rate). We conclude that rapid climate change is liable to favour short-lived organisms (e.g. microbes) rather than longer-lived organisms (e.g. trees).

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