scholarly journals Tracing the origin and ages of interlaced atmospheric pollution events over the tropical Atlantic Ocean with in situ measurements, satellites, trajectories, emission inventories, and global models

2004 ◽  
Vol 109 (D22) ◽  
pp. n/a-n/a ◽  
Author(s):  
V. Gros ◽  
J. Williams ◽  
M. G. Lawrence ◽  
R. von Kuhlmann ◽  
J. van Aardenne ◽  
...  
Keyword(s):  
Atlantic Ocean ◽  
Atmospheric Pollution ◽  
In Situ Measurements ◽  
Emission Inventories ◽  
Tropical Atlantic ◽  
Global Models ◽  
Tropical Atlantic Ocean ◽  
Pollution Events

scholarly journals In situ measurements of atmospheric O2 and CO2 reveal an unexpected O2 signal over the tropical Atlantic Ocean

2017 ◽  
Vol 31 (8) ◽  
pp. 1289-1305 ◽  
Author(s):  
Penelope A. Pickers ◽  
Andrew C. Manning ◽  
William T. Sturges ◽  
Corinne Le Quéré ◽  
Sara E. Mikaloff Fletcher ◽  
...  
Keyword(s):  
Atlantic Ocean ◽  
In Situ Measurements ◽  
Tropical Atlantic ◽  
Tropical Atlantic Ocean

In Situ Validation of Jason-1 and Jason-2 Altimetry Missions in the Tropical Atlantic Ocean

2011 ◽  
Vol 34 (3-4) ◽  
pp. 319-339 ◽  
Author(s):  
S. Arnault ◽  
I. Pujol ◽  
J. L. Mélice
Keyword(s):  
Atlantic Ocean ◽  
Tropical Atlantic ◽  
Tropical Atlantic Ocean

Comparison of TOPEX/Poseidon and Jason Altimetry with ARAMIS In Situ Observations in the Tropical Atlantic Ocean

2004 ◽  
Vol 27 (1-2) ◽  
pp. 15-30 ◽  
Author(s):  
S. ARNAULT ◽  
N. CHOUAIB ◽  
D. DIVERRÈS ◽  
S. JACQUIN ◽  
O. COZE
Keyword(s):  
Atlantic Ocean ◽  
Tropical Atlantic ◽  
Tropical Atlantic Ocean ◽  
In Situ Observations

scholarly journals Correction to: Weakened SST variability in the tropical Atlantic Ocean since 2000

2021 ◽  
Author(s):  
Arthur Prigent ◽  
Joke F. Lübbecke ◽  
Tobias Bayr ◽  
Mojib Latif ◽  
Christian Wengel
Keyword(s):  
Atlantic Ocean ◽  
Tropical Atlantic ◽  
Tropical Atlantic Ocean ◽  
Sst Variability

scholarly journals Simulated Dust Aerosol Impacts on Western Sahelian Rainfall: Importance of Ocean Coupling

2018 ◽  
Vol 31 (22) ◽  
pp. 9107-9124 ◽  
Author(s):  
Asha K. Jordan ◽  
Anand Gnanadesikan ◽  
Benjamin Zaitchik
Keyword(s):  
Atlantic Ocean ◽  
North Africa ◽  
Negative Impact ◽  
Positive Impact ◽  
Geophysical Fluid Dynamics Laboratory ◽  
Tropical Atlantic ◽  
Tropical Atlantic Ocean ◽  
Ocean Atmosphere ◽  
Sahel Region ◽  
Dust Precipitation

North Africa is the world’s largest source of mineral dust, and this dust has potentially significant impacts on precipitation. Yet there is no consensus in published studies regarding the sign or magnitude of dust impacts on rainfall in either the highly climate-sensitive Sahel region of North Africa or the neighboring tropical Atlantic Ocean. Here the Geophysical Fluid Dynamics Laboratory (GFDL) Climate Model 2 (GFDL CM2.0) with Modular Ocean Model, version 4.1 (MOM4.1), run at coarse resolution (CM2Mc) is applied to investigate one poorly characterized aspect of dust–precipitation dynamics: the importance of sea surface temperature (SST) changes in mediating the atmospheric response to dust. Two model experiments were performed: one comparing Dust-On to Dust-Off simulations in the absence of ocean–atmosphere coupling, and the second comparing Dust-On to Dust-Off with the ocean fully coupled. Results indicate that SST changes in the coupled experiment reduce the magnitude of dust impacts on Sahel rainfall and flip the sign of the precipitation response over the nearby ocean. Over the Sahel, CM2Mc simulates a net positive impact of dust on monsoon season rainfall, but ocean–atmosphere coupling in the presence of dust decreases the inflow of water vapor, reducing the amount by which dust enhances rainfall. Over the tropical Atlantic Ocean, dust leads to SST cooling in the coupled experiment, resulting in increased static stability that overrides the warming-induced increase in convection observed in the uncoupled experiment and yields a net negative impact of dust on precipitation. These model results highlight the potential importance of SST changes in dust–precipitation dynamics in North Africa and neighboring regions.

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