Our biggest fans this week: @Greg_MarineLab, @ProfTimStephens, @darylgibson. Thank you! via sumall.com/thankyou?utm_sour…

Our biggest fans this week: @rensa_co, @DrToddLane, @mim_karla. Thank you! via sumall.com/thankyou?utm_sour…

This account is closing. You can now follow the Centre of Excellence for Climate Extremes at @ClimateExtremes. We look forward to seeing you there.

Our biggest fans this week: @NMetherall. Thank you! via sumall.com/thankyou?utm_sour…

Our biggest fans this week: @theAGU, @TiempometVx, @DustyBowl. Thank you! via sumall.com/thankyou?utm_sour…

Our biggest fans this week: @Mario___Ramirez, @DjFcoMorgado, @TiempoCol. Thank you! via sumall.com/thankyou?utm_sour…

Poorer nations will feel the impacts of climate change much more than the wealthy nations that generated the most emissions according to a new paper by @AndrewKingClim and Luke Harrington published today in Geophysical Research Letters. @theAGU climatescience.org.au/conten…

Poorer nations will feel the impacts of climate change much more than the wealthy nations that generated the most emissions according to a new paper by Andrew King and Luke Harrington published today in Geophysical Research Letters. @theAGU climatescience.org.au/conten…

ARCCSS researchers exploring why Pacific trades winds increased to record levels reveal link between climate model biases and under representing decadal variability. Fixing biases, fixes variability issue. climatescience.org.au/conten…

ARCCSS researchers exploring why Pacific trades winds increased to record levels reveal link between climate model biases and under representing decadal variability. Fixing biases, fixes variability issue. climatescience.org.au/conten…

ARCCSS researchers exploring why Pacific trades winds increased to record levels reveal link between climate model biases and under representing decadal variability. Fixing biases, fixes variability issue. climatescience.org.au/conten…

Research into unprecedented strengthening of trade winds that led to 21st Century hiatus reveals how solving model mean state biases could improve representation of decadal variability. climatescience.org.au/conten…

Our biggest fans this week: @AnthonyPress, @scienceschmiens. Thank you! via sumall.com/thankyou?utm_sour…

ARCCSS researchers have taken a new approach to combining results from multiple climate models to test if it improves projections of our #climate. climatescience.org.au/conten…

Our biggest fans this week: @ClimateExtremes. Thank you! via sumall.com/thankyou?utm_sour…