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Indian monsoon can be predicted better after volcanic eruptions
09/18/2020 - Large volcanic eruptions can help to forecast the monsoon over India – the seasonal rainfall that is key for the country’s agriculture and thus for feeding one billion people. As erratic as they are, volcanic eruptions improve the predictability, an Indian-German research team finds. What seems to be a paradox is in fact due to a stronger coupling between the monsoon over large parts of South and South-East Asia and the El Niño phenomenon after an eruption. Combining data from meteorological observations, climate records, computer model simulations, and geological archives such as tree-rings, corals and ice-cores from past millennia of Earth history, the researchers found that a synchronization of the monsoon with the strongest mode of natural climate variability, the El Niño, makes it easier to anticipate the strength of seasonal rainfall in the Indian subcontinent.
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Cold Summers, Shrinking Monsoon Season: How Record Artic Warming is Changing the Climate All Over the World
Arctic warming may be one of the reasons India´s monsoon season will be shorter this year – the early withdrawal in the beginning of October was predicted by a unique forecasting method by Elena Surovyatkina from the Potsdam Institute for Climate Impact Research.
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Network Models
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H2020_Insurance
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Green Vision Central Asia
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Geo.X Maskell
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EPICC-RD4
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EPICC
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ADAPT
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Corona crisis fuels hate against Chinese on Twitter: Commentary
19/05/2020 - The COVID-19 pandemic has the world firmly in its grip with millions of confirmed cases worldwide and whole countries in full or partial lockdown. Despite calls for solidarity across borders and countless local support initiatives, various incidents prove that the corona outbreak has also given rise to a series of racist attacks against Chinese people and people with Asian looking features both on the streets and in social media networks. A team of researchers from the Potsdam Institute for Climate Impact Research has now investigated the use of discriminating language against Chinese people in the context of the COVID-19 pandemic on Twitter.
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