There is a growing research interest in understanding extreme weather in the context of anthropogenic climate change, posing a requirement for new tailored climate data products. Here we introduce the Climate of the 20th Century Plus Detection and Attribution project (C20C + D&A), an international collaboration generating a product specifically intended for diagnosing causes of changes in extreme weather and for understanding uncertainties in that diagnosis. The project runs multiple dynamical models of the atmosphere-land system under observed historical conditions as well as under naturalised versions of those observed conditions, with the latter representing how the climate system might have evolved in the absence of anthropogenic interf...
Large progress has been made in the past few years towards quantifying and understanding climate var...
International audienceAnthropogenic emissions can modify the frequency and intensity of extreme wea...
AbstractA growing field of research aims to characterise the contribution of anthropogenic emissions...
There is a growing research interest in understanding extreme weather in the context of anthropogeni...
We present an overview of practices and challenges related to the detection and attribution of obser...
This paper presents two contributions for research into better understanding the role of anthropogen...
Extreme weather and climate-related events occur in a particular place, by definition, infrequently....
We present a substantial upgrade of the Met Office system for the probabilistic attribution of extre...
Probabilistic event attribution (PEA) presents a method of quantifying the change in risk of extreme...
We examine the effect of the 20th and recent 21st century anthropogenic climate change on high tempe...
Detection and attribution (D and A) simulations were important components of CMIP5 and underpinned t...
This study assesses the detectability of external influences in changes of precipitation extremes in...
International audienceExtreme weather and climate-related events occur in a particular place, by def...
International audienceThe detection of anthropogenic influences on climate extremes at regional scal...
Large progress has been made in the past few years towards quantifying and understanding climate var...
International audienceAnthropogenic emissions can modify the frequency and intensity of extreme wea...
AbstractA growing field of research aims to characterise the contribution of anthropogenic emissions...
There is a growing research interest in understanding extreme weather in the context of anthropogeni...
We present an overview of practices and challenges related to the detection and attribution of obser...
This paper presents two contributions for research into better understanding the role of anthropogen...
Extreme weather and climate-related events occur in a particular place, by definition, infrequently....
We present a substantial upgrade of the Met Office system for the probabilistic attribution of extre...
Probabilistic event attribution (PEA) presents a method of quantifying the change in risk of extreme...
We examine the effect of the 20th and recent 21st century anthropogenic climate change on high tempe...
Detection and attribution (D and A) simulations were important components of CMIP5 and underpinned t...
This study assesses the detectability of external influences in changes of precipitation extremes in...
International audienceExtreme weather and climate-related events occur in a particular place, by def...
International audienceThe detection of anthropogenic influences on climate extremes at regional scal...
Large progress has been made in the past few years towards quantifying and understanding climate var...
International audienceAnthropogenic emissions can modify the frequency and intensity of extreme wea...
AbstractA growing field of research aims to characterise the contribution of anthropogenic emissions...