CL
Climate: Past, Present & Future

Climate of the Present

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

December 12, 2019
Dear “climate sceptic”, do you have a fire insurance? – Climate policy under uncertainty
Smoke clears after an experimental wildfire in Australian eucalyptus forest. Credit: Stefan Doerr (distributed via imaggeo.egu.eu)

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]

Habits in numerical model construction

October 2, 2019
Habits in numerical model construction
Interviews were conducted with modellers about the construction of their model.

  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]

God does not play DICE – but Bill Nordhaus does! What can models tell us about the economics of climate change?

December 3, 2018

Climate change has been described as “the biggest market failure in human history”[1]. Although fuel is costly, emitting the by-product CO2 is for free; yet it causes damages to society. In other words, those who benefit, by using the atmosphere as waste dump, do not pay the full costs, i.e. the adverse effects climate change has on societies on a global scale. Can this market failure be cured? Sh ...[Read More]

What can artificial intelligence do for climate science?

September 26, 2018
What can artificial intelligence do for climate science?

What is machine learning? Artificial Intelligence, and its subfield of machine learning, is a very trending topic as it plays an increasing role in our daily life. Examples are: translation programs, speech recognition software in mobile phones and automatic completion of search queries. However, what value do these new techniques have for climate science? And how complicated is it to use them? Th ...[Read More]