lmd_Risi2015.bib
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@article{2015JGRD..120.2190B,
author = {{Benetti}, M. and {Aloisi}, G. and {Reverdin}, G. and {Risi}, C. and
{Sèze}, G.},
title = {{Importance of boundary layer mixing for the isotopic composition of surface vapor over the subtropical North Atlantic Ocean}},
journal = {Journal of Geophysical Research (Atmospheres)},
keywords = {water isotopes, d-excess, kinetic effects, shallow convection, marine boundary layer, evaporation},
year = 2015,
month = mar,
volume = 120,
pages = {2190-2209},
abstract = {{During the summer 2012, we carried out continuous measurements of the
isotopic composition ({$\delta$}) of water vapor over the near-surface
subtropical North Atlantic Ocean (STRASSE cruise). In this region of
excess evaporation, we investigate the control of evaporation and mixing
with a lower troposphere-derived, isotopically depleted air mass on the
near-surface {$\delta$}. We use a simple model to simulate the near-surface
{$\delta$} as the result of a two end-member mixing of the evaporative flux
with free tropospheric air. The evaporative flux {$\delta$} was estimated
by the Craig and Gordon equation while the {$\delta$} of the lower
troposphere was taken from the LMDZ-iso global atmospheric circulation
model. This simulation considers instantaneous mixing of lower
tropospheric air with the evaporated flux and neglects lateral
advection. Despite these simplifications, the simulations allow to
identify the controls on the near-surface {$\delta$}. The d-excess
variability is largely a consequence of varying kinetic effects during
evaporation, even during a convection event when the input of
tropospheric vapor was strong. Kinetic effects and mixing processes
affect simultaneously the near-surface {$\delta$} and result in the vapor
occupying distinct domains in the {$\delta$}$^{18}$O-{$\delta$}D space.
The relative humidity-d-excess relationship shows that the closure
assumption overestimates the d-excess variability at short time scales
(less than a day). We interpret this as due to an effect of the
residence time of the near-surface water vapor on the d-excess. Finally,
we highlight the importance of reproducing mixing processes in models
simulating isotopes over the subtropical North Atlantic Ocean and
propose an extension of the closure assumption for use in initial
conditions of distillation calculations.
}},
doi = {10.1002/2014JD021947},
adsurl = {http://adsabs.harvard.edu/abs/2015JGRD..120.2190B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2015JGRD..120.2970B,
author = {{Bonne}, J.-L. and {Steen-Larsen}, H.~C. and {Risi}, C. and
{Werner}, M. and {Sodemann}, H. and {Lacour}, J.-L. and {Fettweis}, X. and
{Cesana}, G. and {Delmotte}, M. and {Cattani}, O. and {Vallelonga}, P. and
{Kj{\ae}r}, H.~A. and {Clerbaux}, C. and {Sveinbj{\"o}rnsd{\'o}ttir}, {\'A}.~E. and
{Masson-Delmotte}, V.},
title = {{The summer 2012 Greenland heat wave: In situ and remote sensing observations of water vapor isotopic composition during an atmospheric river event}},
journal = {Journal of Geophysical Research (Atmospheres)},
keywords = {water isotopes, Greenland, atmospheric river},
year = 2015,
month = apr,
volume = 120,
pages = {2970-2989},
abstract = {{During 7-12 July 2012, extreme moist and warm conditions occurred over
Greenland, leading to widespread surface melt. To investigate the
physical processes during the atmospheric moisture transport of this
event, we study the water vapor isotopic composition using surface in
situ observations in Bermuda Island, South Greenland coast (Ivittuut),
and northwest Greenland ice sheet (NEEM), as well as remote sensing
observations (Infrared Atmospheric Sounding Interferometer (IASI)
instrument on board MetOp-A), depicting propagation of similar surface
and midtropospheric humidity and {$\delta$}D signals. Simulations using
Lagrangian moisture source diagnostic and water tagging in a regional
model showed that Greenland was affected by an atmospheric river
transporting moisture from the western subtropical North Atlantic Ocean,
which is coherent with observations of snow pit impurities deposited at
NEEM. At Ivittuut, surface air temperature, humidity, and {$\delta$}D
increases are observed. At NEEM, similar temperature increase is
associated with a large and long-lasting {\tilde}100{\permil}{$\delta$}D
enrichment and {\tilde}15{\permil} deuterium excess decrease, thereby
reaching Ivittuut level. We assess the simulation of this event in two
isotope-enabled atmospheric general circulation models (LMDz-iso and
ECHAM5-wiso). LMDz-iso correctly captures the timing of propagation for
this event identified in IASI data but depict too gradual variations
when compared to surface data. Both models reproduce the surface
meteorological and isotopic values during the event but underestimate
the background deuterium excess at NEEM. Cloud liquid water content
parametrization in LMDz-iso poorly impacts the vapor isotopic
composition. Our data demonstrate that during this atmospheric river
event the deuterium excess signal is conserved from the moisture source
to northwest Greenland.
}},
doi = {10.1002/2014JD022602},
adsurl = {http://adsabs.harvard.edu/abs/2015JGRD..120.2970B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2015ClDy..tmp..134G,
author = {{Gao}, J. and {Risi}, C. and {Masson-Delmotte}, V. and {He}, Y. and
{Xu}, B.},
title = {{Southern Tibetan Plateau ice core {$\delta$}$^{18}$O reflects abrupt shifts in atmospheric circulation in the late 1970s}},
journal = {Climate Dynamics},
year = 2015,
month = apr,
abstract = {{Ice cores from the Tibetan Plateau provide high-resolution records of
changes in the snow and ice isotopic composition. In the monsoon sector
of southern Tibetan Plateau, their climatic interpretation has been
controversial. Here, we present a new high-resolution
{$\delta$}$^{18}$O record obtained from 2206 measurements performed
at 2-3 cm depth resolution along a 55.1 m depth ice core retrieved from
the Noijinkansang glacier (NK, 5950 m a.s.l.) that spans the period from
1864 to 2006 AD. The data are characterized by high
{$\delta$}$^{18}$O values in the nineteenth century, 1910s and 1960s,
followed by a drop in the late 1970s and a recent increasing trend. The
comparison with regional meteorological data and with a simulation
performed with the LMDZiso general circulation model leads to the
attribution of the abrupt shift in the late 1970s predominantly to
changes in regional atmospheric circulation, together with the impact of
atmospheric temperature change. Correlation analyses suggest that the
large-scale modes of variability (PDO and ENSO, i.e. Pacific Decadal
Oscillation and El Nino-Southern Oscillation) play important roles in
modulating NK {$\delta$}$^{18}$O changes. The NK
{$\delta$}$^{18}$O minimum at the end of the 1970s coincides with a
PDO phase shift, an inflexion point of the zonal index (representing the
overall intensity of the surface westerly anomalies over middle
latitudes) as well as ENSO, implying interdecadal modulation of the
influence of the PDO/ENSO on the Indian monsoon on southern TP
precipitation {$\delta$}$^{18}$O. While convective activity above
North India controls the intra-seasonal variability of precipitation
{$\delta$}$^{18}$O in southern TP, other processes associated with
changes in large-scale atmospheric circulation act at the inter-annual
scale.
}},
doi = {10.1007/s00382-015-2584-3},
adsurl = {http://adsabs.harvard.edu/abs/2015ClDy..tmp..134G},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2015E&PSL.414..126P,
author = {{Pang}, H. and {Hou}, S. and {Landais}, A. and {Masson-Delmotte}, V. and
{Prie}, F. and {Steen-Larsen}, H.~C. and {Risi}, C. and {Li}, Y. and
{Jouzel}, J. and {Wang}, Y. and {He}, J. and {Minster}, B. and
{Falourd}, S.},
title = {{Spatial distribution of $^{17}$O-excess in surface snow along a traverse from Zhongshan station to Dome A, East Antarctica}},
journal = {Earth and Planetary Science Letters},
keywords = {water isotopologues, $^{17}$O-excess, Dome A, ice sheet, Antarctica},
year = 2015,
month = mar,
volume = 414,
pages = {126-133},
abstract = {{The influence of temperature on the triple isotopic composition of
oxygen in water is still an open question and limits the interpretation
of water isotopic profiles in Antarctic ice cores. The main limitation
arises from the lack of $^{17}$O-excess measurements in surface
snow and especially for remote regions characterized by low temperature
and accumulation rate. In this study, we present new
$^{17}$O-excess measurements of surface snow along an East
Antarctic traverse, from the coastal Zhongshan station to the highest
point of the Antarctic ice sheet at Dome A. The $^{17}$O-excess
data significantly decrease inland, with a latitudinal gradient of -
1.33 {\plusmn} 0.41 per meg/degree, an altitudinal gradient of - 0.48
{\plusmn} 0.17 permeg / 100 m, and a temperature gradient of 0.35
{\plusmn} 0.11 permeg /{\deg}C. Theoretical calculations performed using a
Rayleigh model attribute this inland decrease to kinetic isotopic
fractionation occurring during condensation from vapor to ice under
supersaturation conditions at low temperatures. However, large
heterogeneity of $^{17}$O-excess in Antarctic precipitation cannot
only be explained by temperature at condensation and/or influences of
relative humidity in the moisture source region.
}},
doi = {10.1016/j.epsl.2015.01.014},
adsurl = {http://adsabs.harvard.edu/abs/2015E%26PSL.414..126P},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2015AMT.....8.1447L,
author = {{Lacour}, J.-L. and {Clarisse}, L. and {Worden}, J. and {Schneider}, M. and
{Barthlott}, S. and {Hase}, F. and {Risi}, C. and {Clerbaux}, C. and
{Hurtmans}, D. and {Coheur}, P.-F.},
title = {{Cross-validation of IASI/MetOp derived tropospheric {$\delta$}D with TES and ground-based FTIR observations}},
journal = {Atmospheric Measurement Techniques},
year = 2015,
month = mar,
volume = 8,
pages = {1447-1466},
abstract = {{The Infrared Atmospheric Sounding Interferometer (IASI) flying onboard
MetOpA and MetOpB is able to capture fine isotopic variations of the HDO
to H$_{2}$O ratio ({$\delta$}D) in the troposphere. Such observations
at the high spatio-temporal resolution of the sounder are of great
interest to improve our understanding of the mechanisms controlling
humidity in the troposphere. In this study we aim to empirically assess
the validity of our error estimation previously evaluated theoretically.
To achieve this, we compare IASI {$\delta$}D retrieved profiles with other
available profiles of {$\delta$}D, from the TES infrared sounder onboard
AURA and from three ground-based FTIR stations produced within the
MUSICA project: the NDACC (Network for the Detection of Atmospheric
Composition Change) sites Kiruna and Iza{\~n}a, and the TCCON site
Karlsruhe, which in addition to near-infrared TCCON spectra also records
mid-infrared spectra. We describe the achievable level of agreement
between the different retrievals and show that these theoretical errors
are in good agreement with empirical differences. The comparisons are
made at different locations from tropical to Arctic latitudes, above sea
and above land. Generally IASI and TES are similarly sensitive to
{$\delta$}D in the free troposphere which allows one to compare their
measurements directly. At tropical latitudes where IASI's sensitivity is
lower than that of TES, we show that the agreement improves when taking
into account the sensitivity of IASI in the TES retrieval. For the
comparison IASI-FTIR only direct comparisons are performed because the
sensitivity profiles of the two observing systems do not allow to take
into account their differences of sensitivity. We identify a quasi
negligible bias in the free troposphere (-3{\permil}) between IASI
retrieved {$\delta$}D with the TES, which are bias corrected, but important
with the ground-based FTIR reaching -47{\permil}. We also suggest that
model-satellite observation comparisons could be optimized with IASI
thanks to its high spatial and temporal sampling.
}},
doi = {10.5194/amt-8-1447-2015},
adsurl = {http://adsabs.harvard.edu/abs/2015AMT.....8.1447L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
