Detection and attribution is back in the news for all the wrong reasons. Pielke Junior is once again pushing the line that anyone wanting to say anything about extreme weather has to prove all over…

Le squelette de ce fossile de crocodile, datant de 180 millions d’années, a été dévoilé vendredi au Musée de Lodève.

The Keeling Curve is a daily record of global atmospheric carbon dioxide concentration maintained by Scripps Institution of Oceanography at UC San Diego.

Coccolithophores, tiny planktonic architects of Earth’s climate, capture carbon, produce oxygen, and leave behind geological records that chronicle our planet’s history. European scientists are unitin...

Reconstructed radiocarbon ventilation seesaw and reduced Southern Ocean surface reservoir age imply reduced Antarctic Bottom Water overturning parallel to the weakened North Atlantic Deep Water overturning during the early deglaciation.

Abstract. Carbonate U–Pb dating has become a key tool for Quaternary palaeoclimatology and palaeoanthropology beyond the age limit of Th–U disequilibrium dating. U–Pb geochronology is based on the pai...

🌊 🌊 JOB ALERT!! Looking for a postdoc that does not rely on federal funding?? Looking to live in a city that is routinely ranked as one of the best cities to live in across the entire U.S.? Come jo...

The Keeling Curve is a daily record of global atmospheric carbon dioxide concentration maintained by Scripps Institution of Oceanography at UC San Diego.

Kalman filters and ENSO patterns. Such fun!

Abstract. Antarctica's weather and climate have global impacts, influencing weather patterns, ocean currents and sea levels worldwide. However, Antarctica is vast and complex, and the atmospheric processes that govern its climate are strongly influenced by its steep terrain, particularly around the coastal periphery. Our scientific understanding of this complex environment is hampered by the lack of reliable observations and gridded datasets at sufficiently high spatial and temporal resolution. High-resolution regional climate models, RCMs, can provide a solution to the sparsity of observational data and low resolution of reanalyses, facilitating more in-depth assessments of crucial climate variables like precipitation, winds and temperatures that are strongly influenced by topography. Here we present and evaluate a comprehensive, high-quality, ~ 11 km resolution RCM dataset: the PolarRES ensemble. We show that the ensemble largely out-performs ERA5, particularly for variables such as coastal winds and in characterising high-resolution regional precipitation patterns. There are no consistent seasonal differences in biases, but there are persistent regional biases. The Victoria Land region is the region the RCMs and ERA5 struggle the most with, which suggests that further investigation and model development is needed in this area. Each RCM has strengths and limitations, but overall the ensemble captures the observed weather and climate of Antarctica well. The PolarRES ensemble offers a novel and exciting way of evaluating climate processes and features, and we encourage researchers to use the data, which are freely available, to explore pertinent climate questions of local, regional and global significance.

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