European Geosciences Union
Division on Climate: Past, Present & Future
President: Didier Roche (cl@egu.eu)
Deputy President: Marc Luetscher
(marc.luetscher@isska.ch)
The Division on Climate: Past, Present & Future is one of the larger divisions of the European Geosciences Union. It pools from many disciplines and consequently has many co-organized and co-listed sessions with other divisions at the general assembly. The division is very interdisciplinary and covers climate variations on all time scales. CL includes the study of any kind of climate archive from rocks to ocean cores, speleothems, ice cores, chronicles, to instrumental records to name a few. Besides observations, climate modeling on all time scales from the deep past to the future are areas covered by the division. Any aspect of the climate system falls into the realm of the division e.g. atmosphere, ocean, biosphere, cryosphere, and geology. Themes focus on the climate on Earth but may also expand other planets or the sun.
The 2019 None is awarded to Edward J. Brook for producing greenhouse-gas records from polar ice cores in unprecedented resolution that permitted the precise north-south synchronisation of climate signals and the identification of past variations in great detail.
The 2019 None is awarded to Jacques Laskar for fundamental contributions to the investigation of orbital climate forcing, and for the development of long-term, reliable astronomical solutions important for the whole palaeoclimate community.
The 2018 None is awarded to David A. Hodell for fundamental contributions to reconstructing and understanding past climate cycles and the causes of the mid-Pleistocene transition.
The 2018 None is awarded to Hubertus Fischer for his innovative development and use of analytical techniques to measure chemical compounds and gas concentrations and their isotopic compositions in polar ice cores.
The 2018 None is awarded to Christo Buizert for his innovative contributions on the bi-polar phasing of climate change from polar ice-core data using an exceptional combination of experimental and theoretical approaches.
The 2018 None is awarded to Annarosa Quarello Homogenization of GNSS-derived IWV time series
The 2018 None is awarded to Davide Panosetti Convergence behavior of convection-resolving simulations of summertime deep convection over land
The 2018 None is awarded to D. Jimena Roncancio Benitez Evaluation of climate variability and temperature extremes in Colombia: Opportunities for the outlining of climate change and human health adaptive strategies.
The 2018 None is awarded to Erwin Rottler Alpine temperature changes: features and feedbacks
The 2018 None is awarded to Nele-Charlotte Neddermann Seasonal predictability of European summer climate re-assessed
Name of proxy Earthworm calcite granules (ECG) Type of record Paleotemperature and paleoprecipitation reconstruction; radiocarbon dating Paleoenvironment Continental environments – loess/paleosol sequences Period of time investigated Mostly Last full Glacial cycle – from 112,000-15,000 years Before Present (BP) (or older depending on the preservation of the granules). How does it work? Earthworms are commonly found living in soil and feeding on organic matter at the soil surface. In carbonate soil, some of them secrete small granules (0.1 to 2 mm) …
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? Should humankind sacrifice some of its present welfare to prevent future climate …
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? The idea behind machine learning is simple: a computer is not explicitly programmed to perform a particular task, …
The last 2.5 Million years of the Earth’s history (termed Quaternary) are characterised by climatic cycles oscillating between warm (interglacial) and cold (glacial) periods. To be able to fully understand and interpret past climate variations the development of accurate and precise chronological techniques is crucial. Optically stimulated luminescence (OSL) dating is a strong geochronological tool that can be used to date across a wide time range, from the modern days to a few hundred thousand years ago. It has been …
We are thrilled to announce we received over 17,000 abstracts to the EGU General Assembly 2019! We look forward to welcoming all participants in Vienna on 7–12 April. Aside from many exciting scientific sessions and events, the meeting will have more time for presentations and networking, an illustrator and sculptor as artists in residence, and much more.
We would also like to remind you that until 31 January, you can apply for the General Assembly Mentoring Programme, either as a mentor, if you are an experienced General Assembly attendee, or as a mentee, if you are a first-timer at the meeting.
Until 15 February, you can enter the Imaggeo Photo Contest for a chance to win a free registration to next year’s General Assembly. You can also apply to receive an EGU Public Engagement Grant until 15 February, if you have a geoscience outreach project you’d like to develop. Winners receive 1000 EUR and a free registration to next year's General Assembly.
Last but not the least, if you'd like to organise an EGU Galileo Conference, a meeting addressing a well-focused, cutting-edge topic at the frontier of geosciences research, make sure to apply for funding by 28 February. The first EGU Galileo Conference of 2019 will be on ‘Mass extinctions, recovery and resilience’ and is now accepting abstracts.