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Climate Change Web Applications: Enhancing Data Accessibility and Visualization
Introduction to Climate Change Web Applications
Climate change research generates vast amounts of data that require effective tools for visualization and analysis. Web-based applications have emerged as crucial platforms to make this data accessible and comprehensible to a wide range of users, from scientists to policymakers and the general public. These applications leverage advanced technologies to present complex climate data in an interactive and user-friendly manner.
USGS National Climate Change Viewer (NCCV)
The USGS National Climate Change Viewer (NCCV) is a prime example of a web application designed to display future climate projections across the United States. It incorporates data from 30 global climate models used in the IPCC's Fifth Assessment Report (AR5) and simulates hydrologic variables using a water-balance model. The application distills tens of terabytes of high-resolution climate data into compact summary files, making it accessible to users of varying skill levels. To enhance performance, a map caching technique is employed, allowing the system to handle over 500 concurrent users efficiently1.
PolarGlobe: Visualizing Multidimensional Climate Data
PolarGlobe is another innovative web-based platform that visualizes multidimensional, time-varying climate data on a virtual globe. Built on the Cesium virtual globe system and utilizing WebGL for 3D graphics rendering, PolarGlobe addresses the challenges of transmitting and visualizing large climate datasets over the internet. It employs a stream encoding and transmission strategy based on video-compression techniques, enabling real-time visualization of climate data from the Arctic regions2.
GCM compareR: Comparing Climate Models
GCM compareR is a web application designed to assist researchers and policymakers in selecting appropriate general circulation models (GCMs) for climate change research. The application provides an interactive user interface with preloaded climate scenario data, allowing users to compare different GCM projections and understand their differences. Results are presented in various formats, including figures, tables, and maps, facilitating clear communication of model projections4.
Communicating Climate Change Visually
Effective communication of climate model projections is essential for understanding the potential impacts of future climate on resources. A study explored how resource professionals interpret graphical representations of future climate change within a web-based decision support system. The findings suggest that a three-map layout effectively communicates the spatial spread of future climate projections, and combining spatial and temporal information enhances comprehension. Additionally, model error metrics can help communicate uncertainties5.
Climate Change and Contaminant Interactions in Marine Food Webs
Climate change significantly impacts the movement of contaminants through marine food webs, affecting the physiology, health, and feeding ecology of marine biota. A conceptual framework has been proposed to illustrate these impacts, highlighting the importance of ecological and food web modeling in managing the risks associated with chemical pollutants under climate change. This framework underscores the need for integrated policies to manage the ecological and socioeconomic risks of greenhouse gases and marine pollutants3.
Ideological Biases in Online Climate Change Information Sharing
The sharing of climate change information on social media platforms like Twitter reveals ideological biases. A study analyzing 5.3 million tweets found that the information-sharing network is polarized, with distinct left-wing/environmentalist and right-wing/climate skeptic groups. This polarization has implications for public opinion dynamics and the broader debate on climate change6.
Conclusion
Web-based applications play a crucial role in making complex climate data accessible and understandable. From visualizing large datasets to comparing climate models and communicating uncertainties, these tools support a wide range of users in their efforts to understand and address climate change. As the demand for effective climate data visualization continues to grow, these applications will be essential in bridging the gap between data and decision-making.
Sources and full results
Most relevant research papers on this topic
Web based visualization of large climate data sets
The USGS National Climate Change Viewer (NCCV) provides easy-to-use web application that visualizes climate change projections at various scales, making climate-change information accessible to resource managers and citizens.
PolarGlobe: A web-wide virtual globe system for visualizing multidimensional, time-varying, big climate data
PolarGlobe is a web-based platform for visualizing multidimensional, time-varying climate data on a virtual globe, enabling real-time visualization and balancing scientific analysis and visualization costs.
Climate change–contaminant interactions in marine food webs: Toward a conceptual framework
Climate change and ocean acidification may alter contaminant accumulation in marine food webs, potentially impacting ecosystem goods and services, and requiring integrated policies to manage ecological and socioeconomic risks.
Literature Review
Highly CitedGCM compareR: A web application to assess differences and assist in the selection of general circulation models for climate change research
GCM compareR is an open-source web application that helps users compare general circulation models and climate change scenarios, enhancing relevance and policy relevance.
Visually Communicating Future Climate in a Web Environment
A three-map layout effectively communicates future climate projections spatially, location-specific information effectively, and model error metrics can help communicate uncertainty and demonstrate the utility of climate datasets for resource professionals.
Ideological biases in social sharing of online information about climate change
Online sharing of climate change news is polarized and politicized, with a strong positive association between left/right political ideology and environmentalist/sceptic climate ideology.
Observational Study
Rigorous JournalLooking forward: Applying an ecological model web to assess impacts of climate change
The ecological Model Web, an open-ended network of interoperable computer models, can improve predictions of climate change impacts by enabling easier communication and societal benefits.
Examining Long-Term Global Climate Change on the Web
Students can investigate long-term global climate change using web-based data sets, examining trends in atmospheric CO2, population, and temperature over the last 250 years and 250,000 and 450,000 years.
A topography of climate change research
Social sciences are over-represented in recent climate change assessments, while technical solutions-relevant knowledge is under-represented.
Highly Cited