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Camille Risi

Researcher at Centre national de la recherche scientifique

Publications -  114
Citations -  7419

Camille Risi is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Precipitation & Water vapor. The author has an hindex of 44, co-authored 105 publications receiving 6042 citations. Previous affiliations of Camille Risi include École Normale Supérieure & University of Colorado Boulder.

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Paired oxygen isotope records reveal modern North American atmospheric dynamics during the Holocene

TL;DR: The persistence of PNA-like climate variability throughout the mid- and late Holocene is suggested, which may help researchers de-convolve PNA pattern variation from other factors reflected in palaeorecords.
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Evaluating the skills of isotope‐enabled general circulation models against in situ atmospheric water vapor isotope observations

TL;DR: In this article, the authors evaluated the performance of isotope-enabled general circulation models against atmospheric water vapor isotopes and found that the simulated isotope biases are not just explained by simulated biases in temperature and humidity.
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Impacts of Tibetan Plateau uplift on atmospheric dynamics and associated precipitation δ 18 O

TL;DR: In this article, the authors developed a theoretical expression for precipitation composition based on the Rayleigh distillation and the isotope-equipped atmospheric general circulation model LMDZ-iso outputs, showing that the isotopic composition of precipitation is very sensitive to climate changes related to the growth of the Himalayas and Tibetan Plateau.
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Clustering mesoscale convective systems with laser‐based water vapor δ18O monitoring in Niamey (Niger)

TL;DR: In this article, the evolution of water vapor and precipitation isotope ratios during rain events of the 2010, 2011, and 2012 monsoon periods was investigated, and a classification of rain systems into three types based on the δv temporal evolution was established.
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Warm climate isotopic simulations: what do we learn about interglacial signals in Greenland ice cores?

TL;DR: In this article, an analysis of greenhouse gas warmed simulations from two isotope-enabled general circulation models, in conjunction with a set of Last Interglacial sea surface observations, indicates a possible explanation for the interglacial δ18O rise.