CL
Climate: Past, Present & Future

Climate: Past, Present & Future

Seasonal Greetings

Seasonal Greetings

The anticipation is rising, the offices smell of gingerbread and cookies, papers get written to be done just in time for Santa and his elves. Everyone is happily stressed these days working on the perfect Christmas presents, but then… aah, what to present at next year’s EGU? Which session to attend? This is a friendly reminder of the abstract submission deadline at 15th January. Read up on how to ...[Read More]

Dear “climate sceptic”, do you have a fire insurance? – Climate policy under uncertainty

Dear “climate sceptic”, do you have a fire insurance? – Climate policy under uncertainty

One often hears that ambitious climate policy might be premature while climate change is still “uncertain”. This sounds like a fair argument: The amount of global warming per doubling CO2 is not well constrained, and the amount of economic damage per degree of warming even less. But is this uncertainty a sound excuse to wait and see?   Uncertainty, risk aversion, and insurance If you knew the ...[Read More]

Palaeoclimate Data Syntheses: Opportunities and Challenges

Palaeoclimate Data Syntheses: Opportunities and Challenges

Reconstructing past climate states from geological records is crucial for understanding the causal mechanisms that originated them. These can occur at time-scales which are much longer than the periods for which humans have been measuring climate variables such as temperature in meteorological stations. Such climate reconstructions provide a long-term context to the magnitude of the current anthro ...[Read More]

Habits in numerical model construction

Habits in numerical model construction

  Numerical models are omnipresent in climate research. Constructed to understand the past, to forecast future climate and to gain new knowledge on natural processes and interactions, they enable the simulation of experiments at otherwise unreachable time and spatial scales. These instruments have long been considered to be fed – let even determined – by either theories or observations alone. ...[Read More]