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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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A review of climatic controls on δ18O in precipitation over the Tibetan Plateau: Observations and simulations

TL;DR: In this article, the authors established a database of precipitation δ18O and used different models to evaluate the climatic controls of precipitation over the Tibetan Plateau (TP), revealing three distinct domains associated with the influence of the westerlies (northern TP), Indian monsoon (southern TP), and transition in between.
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A Statistical Deterministic Approach to Hurricane Risk Assessment

TL;DR: The probability that hurricane winds will affect any given point in space by combining an estimate of the probability that a hurricane will pass within some given radius of the point in question with an estimates of the spatial probability density of storm winds.
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Influence of convective processes on the isotopic composition (δ18O and δD) of precipitation and water vapor in the tropics: 2. Physical interpretation of the amount effect

TL;DR: In this article, stable water isotopes (H218O and HDO) have been introduced in a single column model including the Emanuel convection parameterization, and the physical processes underlying the amount effect and propose a methodology to quantify their relative contributions.
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Water-stable isotopes in the LMDZ4 general circulation model: Model evaluation for present-day and past climates and applications to climatic interpretations of tropical isotopic records

TL;DR: In this article, the LMDZ-iso general circulation model was used to simulate water-stable isotopes from a midlatitude station and evaluated at different time scales (synoptic to interannual).
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Process-evaluation of tropospheric humidity simulated by general circulation models using water vapor isotopologues: 1. Comparison between models and observations

TL;DR: In this paper, a large number of isotopic data sets (four satellite, sixteen ground-based remote-sensing, five surface in situ and three aircraft data sets) are analyzed to determine how H2O and HDO measurements in water vapor can be used to detect and diagnose biases in the representation of processes controlling tropospheric humidity in atmospheric general circulation models (GCMs).