The use of CHALLENGE datain climate change detection

claims

Albert Klein Tank, KNMI

Source: CRU/MetOffice, 2004

Recent warming also observed over Europe

Warming dominates in all seasons, except Autumn (bottom right)

Climate change detection/attribution:

At the global scale most of the warming observed over the last 50 years is attributable to human activities.

Climate change detection/attribution:

At the global scale most of the warming observed over the last 50 years is attributable to human activities.

At the continental scale (Europe), the attribution of the observed warming trends to human influence is not (yet) firmly settled due to the larger natural variability.

Climate change detection/attribution:

At the global scale most of the warming observed over the last 50 years is attributable to human activities.

At the continental scale (Europe), the attribution of the observed warming trends to human influence is not (yet) firmly settled due to the larger natural variability.

Anthropogenic signals have not yet been positively detected at all in series of extreme events, despite their obvious relevance for society.

Climate change detection/attribution:

At the global scale most of the warming observed over the last 50 years is attributable to human activities.

At the continental scale (Europe), the attribution of the observed warming trends to human influence is not (yet) firmly settled due to the larger natural variability.

Anthropogenic signals have not yet been positively detected at all in series of extreme events, despite their obvious relevance for society.

We use CHALLENGE data to investigatewhether changes in the frequency ofmodest temperature extremes inEurope (expressed by T90-T10) area possible fingerprint of human influence.

European window CHALLENGE data

European station data

Spring change in T90-T10: trends (left) – natural variability (right)

Summer change in T90-T10: trends (left) – natural variability (right)

Autumn change in T90-T10: trends (left) – natural variability (right)

Take-away messages:1. Some of the characteristics of the recent warming in

Europe provide a possible fingerprint of human influence, because they are different from the estimated patterns associated with natural temperature variability.

2. Similar differences are seen in CHALLENGE between the patterns in the future greenhouse warming simulations and the current climate simulations.

3. The advantage of the CHALLENGE data is that natural variability is explicitly accounted for in the ensemble of 62 climate model simulations.