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What is the Harm in Forecasting Catastrophe due to Man-Made Global Warming?

What is the Harm in Forecasting Catastrophe due to Man-Made Global Warming?
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New York , United States , France General , United Kingdom , Dust Bowl , Czech Republic , World Bank , District Of Columbia , Spiro Zavos , Michael Lewis , Mark Perry , Michael Mann , Peter Doran , Robert Wade , Steven Koonin , Nicola Scafetta , John Williamson , Robertk Merton , Chelsea Harvey , Kevin Drum , Ross Mckitrick , John Kerry , Richard Tol , Matthew Yglesias , Harjeet Singh , James Hansen ,

The geographic disparity of historical greenhouse emissions and projected climate change


Abstract
One challenge in climate change communication is that the causes and impacts of global warming are unrelated at local spatial scales. Using high-resolution datasets of historical anthropogenic greenhouse emissions and an ensemble of 21st century surface temperature projections, we developed a spatially explicit index of local climate disparity. This index identifies positive (low emissions, large temperature shifts) and negative disparity regions (high emissions, small temperature shifts), with global coverage. Across all climate change projections we analyzed, 99% of the earth’s surface area has a positive index value. This result underscores that while emissions are geographically concentrated, warming is globally widespread. From our index, the regions of the greatest positive disparity appear concentrated in the polar arctic, Central Asia, and Africa with negative disparity regions in western Europe, Southeast Asia, and eastern North America. Straightforward ill ....

United States , United Nations Framework Convention On Climate , Emission Database For Global Atmospheric Research , Atmospheric Administration Climate Change Portal , Intergovernmental Panel On Climate Change , National Oceanic , Era Retrospective Analysis For Research , Central Asia , Southeast Asia , Intergovernmental Panel , Climate Change , Representative Concentration Pathway , East Asia , Coupled Model Intercomparison Project , Nations Framework Convention , Emission Database , Global Atmospheric Research , Modern Era Retrospective Analysis , ஒன்றுபட்டது மாநிலங்களில் , ஒன்றுபட்டது நாடுகள் கட்டமைப்பு மாநாடு ஆன் காலநிலை , உமிழ்வு தரவுத்தளம் க்கு உலகளாவிய வளிமண்டலம் ஆராய்ச்சி , இடை அரசு குழு ஆன் காலநிலை மாற்றம் , தேசிய கடல் , சகாப்தம் சுயபரிசோதனை பகுப்பாய்வு க்கு ஆராய்ச்சி , மைய ஆசியா , தென்கிழக்கு ஆசியா ,

Skillful prediction of summer rainfall in the Tibetan Plateau on multiyear time scales

Skillful near-term climate predictions of rainfall over the Tibetan Plateau (TP), the Asian water tower, benefit billions of people. On the basis of the state-of-the-art decadal prediction models, we showed evidence that although the raw model outputs show low predicted ability for the summer Inner TP (ITP) rainfall due to low signal-to-noise ratios in models, we can produce realistic predictions by extracting the predictable signal from large ensemble predictions along with a postprocessing procedure of variance adjustment. The results indicate that the summer ITP rainfall is highly predictable on multiyear time scales. The predictability of ITP rainfall originates from the Silk Road pattern driven by sea surface temperature over the subpolar gyre region in North Atlantic. Real-time forecasts suggest that the ITP will become wetter, with 12.8% increase in rainfall during 2020–2027 relative to 1986–2005. Our results will help the water resources management in the surrounding region ....

Yellow River , China General , Yangtze River , Tibetan Plateau , Atlantic Ocean , Indian Ocean , National Natural Science Foundation Of China , Chinese Academy Of Sciences , Silk Road , Ganges River , Asian Water , Coupled Model Intercomparison Project , Representative Concentration Pathway , North Atlantic Ocean , Southern Ocean , Qiang Tang Plateau , Climate Prediction Project , Water Resources , Global Precipitation Climatology Project , Reanalysis Project , Extended Reconstructed Sea Surface Temperature , Shared Socioeconomic Pathways , Creative Commons Attribution Noncommercial , World Climate Research Programme , Working Group , Coupled Modeling ,