Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

What is Climate?01:16

What is Climate?

Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
Global Climate Change01:50

Global Climate Change

Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
Quantifying Heat02:46

Quantifying Heat

Thermal Energy Microscopically, thermal energy is the kinetic energy associated with the random motion of atoms and molecules. Temperature is a quantitative measure of “hot” or “cold”, which depends on the amount of thermal energy. When the atoms and molecules in an object are moving or vibrating quickly, they have a higher average kinetic energy (KE) (or higher thermal energy), and the object is perceived as “hot”, or it is described as being at a higher temperature. When the atoms and...
Variability: Analysis01:11

Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
Microbes and Climate Change01:27

Microbes and Climate Change

Microorganisms are pivotal agents in Earth's biogeochemical cycles, significantly influencing climate dynamics through their metabolic activities. These microbes modulate the levels of key greenhouse gases by both contributing to and helping mitigate climate change.Microbial Contributions to Greenhouse Gas EmissionsRising global temperatures accelerate microbial metabolism, which, in turn, speeds up the decomposition of organic matter. This process releases carbon dioxide (CO₂) through...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

Trap tales: The influence of red alder stand conditions and forest fragmentation on family-level beetle bycatch diversity.

PloS one·2026
Same journal

MamNet-PT: A Mamba-enhanced hybrid architecture with selective state-space modeling for uncertainty-aware brain tumor segmentation.

PloS one·2026
Same journal

Multicenter evaluation of BACT-Info. and an infection algorithm using Urine Flow Cytometry among clinically diagnosed UTI patients in Indonesia.

PloS one·2026
Same journal

Cross-cultural adaptation and psychometric properties study of Prolonged Grief Disorder Questionnaire (PG-12-R) for caregivers of terminal cancer patients, Thai version.

PloS one·2026
Same journal

Design and in silico validation of donor DNA for RNA-guided recombinase-mediated knockout of mstnb gene in Labeo rohita.

PloS one·2026
Same journal

ViT-MultiRAGNet: A scalable and reliable retrieval-augmented Vision Transformer framework for memory-guided feature fusion multi-modal mammogram classification.

PloS one·2026

Related Experiment Video

Updated: Jun 10, 2026

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

Climate change heterogeneity: A new quantitative approach.

María Dolores Gadea Rivas1, Jesús Gonzalo2

  • 1Department of Applied Economics, University of Zaragoza, Zaragoza, Spain.

Plos One
|January 28, 2025
PubMed
Summary

Climate change analysis reveals significant spatial and temporal temperature variations. A new quantitative method shows Spain

Area of Science:

  • Climate Science
  • Environmental Science
  • Statistical Modeling

Background:

  • Climate change is a complex phenomenon exhibiting non-uniform spatial and temporal characteristics.
  • Understanding this heterogeneity is crucial for assessing societal and economic impacts.
  • Existing methods often focus on average temperature changes, potentially overlooking distributional shifts.

Purpose of the Study:

  • To introduce a quantitative methodology for analyzing climate change heterogeneity (CCH).
  • To define and measure key climate change concepts like warming, amplification, and acceleration using trend analysis of temperature quantiles.
  • To enable comparative analysis of warming processes across different regions.

Main Methods:

  • Developed a methodology based on trend analysis of temperature distribution quantiles.

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

Related Experiment Videos

Last Updated: Jun 10, 2026

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

  • Converted quantiles into time series for linear regression analysis.
  • Applied the method to global (2192 stations) and Spanish (30 stations) temperature data from 1950-2019.

    • Main Results:

    • Both the Globe and Spain exhibit distributional warming, but with distinct patterns.
    • The Globe shows greater warming in lower temperatures, while Spain shifts towards stronger warming in upper quantiles.
    • Warming processes accelerate and are asymmetrically amplified in both regions over time.

    Conclusions:

    • Spain's warming in upper quantiles exceeds the global average, while its lower quantiles are dominated by global Arctic warming.
    • The findings highlight the need for non-uniform causal-effect climate analysis beyond mean-based causality.
    • Climate change mitigation and adaptation policies require both global and localized regional components.