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Journal articleHausmann U, Czaja A, 2012, , DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, Vol: 70, Pages: 60-72, ISSN: 0967-0637
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- Citations: 138
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Journal articleCui J, Yelle RV, Strobel DF, et al., 2012, , JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS, Vol: 117, ISSN: 2169-9097
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- Citations: 45
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Journal articleShen C, Rong ZJ, Dunlop MW, et al., 2012, , JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, Vol: 117, ISSN: 2169-9380
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- Citations: 34
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Journal articleMoore L, Fischer G, Mueller-Wodarg I, et al., 2012, , ICARUS, Vol: 221, Pages: 508-516, ISSN: 0019-1035
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- Citations: 11
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Journal articleGryspeerdt E, Stier P, 2012, , GEOPHYSICAL RESEARCH LETTERS, Vol: 39, ISSN: 0094-8276
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- Citations: 78
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Journal articleCargill PJ, Vlahos L, Baumann G, et al., 2012, , SPACE SCIENCE REVIEWS, Vol: 173, Pages: 223-245, ISSN: 0038-6308
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- Citations: 67
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Journal articleMatteini L, Hellinger P, Landi S, et al., 2012, , Space Science Reviews, Vol: 172, Pages: 373-396, ISSN: 0038-6308
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Journal articleBalogh A, Bykov A, Lin R, et al., 2012, , SPACE SCIENCE REVIEWS, Vol: 173, Pages: 1-4, ISSN: 0038-6308
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- Citations: 3
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Journal articleCargill PJ, Bradshaw SJ, Klimchuk JA, 2012, , ASTROPHYSICAL JOURNAL, Vol: 758, ISSN: 0004-637X
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- Citations: 64
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Journal articleMoestl C, Farrugia CJ, Kilpua EKJ, et al., 2012, , ASTROPHYSICAL JOURNAL, Vol: 758, ISSN: 0004-637X
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- Citations: 105
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Journal articleChen CHK, Mallet A, Schekochihin AA, et al., 2012, , The Astrophysical Journal, Vol: 758, Pages: 120-120
We present a measurement of the scale-dependent, three-dimensional structureof the magnetic field fluctuations in inertial range solar wind turbulence withrespect to a local, physically motivated coordinate system. The Alfvenicfluctuations are three-dimensionally anisotropic, with the sense of thisanisotropy varying from large to small scales. At the outer scale, the magneticfield correlations are longest in the local fluctuation direction, consistentwith Alfven waves. At the proton gyroscale, they are longest along the localmean field direction and shortest in the direction perpendicular to the localmean field and the local field fluctuation. The compressive fluctuations arehighly elongated along the local mean field direction, although axiallysymmetric perpendicular to it. Their large anisotropy may explain why they arenot heavily damped in the solar wind.
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Journal articleCeppi P, Hwang Y-T, Frierson DMW, et al., 2012, , Geophysical 91桃色 Letters, Vol: 39, Pages: 1-5, ISSN: 0094-8276
[1] Substantial biases in shortwave cloud forcing (SWCF) of up to ±30 W m−2are found in the midlatitudes of the Southern Hemisphere in the historical simulations of 34 CMIP5 coupled general circulation models. The SWCF biases are shown to induce surface temperature anomalies localized in the midlatitudes, and are significantly correlated with the mean latitude of the eddy鈥恉riven jet, with a negative SWCF bias corresponding to an equatorward jet latitude bias. Aquaplanet model experiments are performed to demonstrate that the jet latitude biases are primarily induced by the midlatitude SWCF anomalies, such that the jet moves toward (away from) regions of enhanced (reduced) temperature gradients. The results underline the necessity of accurately representing cloud radiative forcings in state鈥恛f鈥恡he鈥恆rt coupled models.
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Journal articleGraven HD, Gruber N, Key R, et al., 2012, , JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, Vol: 117, ISSN: 2169-9275
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- Citations: 104
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Journal articleChristophe B, Spilker LJ, Anderson JD, et al., 2012, , Experimental Astronomy, Vol: 34, Pages: 203-242, ISSN: 0922-6435
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Journal articleTinetti G, Beaulieu JP, Henning T, et al., 2012, , EXPERIMENTAL ASTRONOMY, Vol: 34, Pages: 311-353, ISSN: 0922-6435
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- Citations: 108
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Journal articleOrr A, Bracegirdle TJ, Hosking JS, et al., 2012, , JOURNAL OF THE ATMOSPHERIC SCIENCES, Vol: 69, Pages: 2917-2932, ISSN: 0022-4928
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- Citations: 28
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Journal articleGraham DB, Cairns IH, Prabhakar DR, et al., 2012, , JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, Vol: 117, ISSN: 2169-9380
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- Citations: 23
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Journal articleHasegawa H, Zhang H, Lin Y, et al., 2012, , JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, Vol: 117, ISSN: 2169-9380
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- Citations: 22
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Journal articleCao H, Russell CT, Wicht J, et al., 2012, , ICARUS, Vol: 221, Pages: 388-394, ISSN: 0019-1035
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- Citations: 33
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Journal articleSouthwood D, 2012, , NATURE, Vol: 488, Pages: 451-453, ISSN: 0028-0836
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- Citations: 2
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Journal articleEastwood JP, Phan TD, Fear RC, et al., 2012, , JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, Vol: 117, ISSN: 2169-9380
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- Citations: 44
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Journal articleCarboni E, Thomas G, Sayer A, et al., 2012, , Atmospheric Measurement Techniques, Vol: 5, Pages: 1973-2002
This work provides a comparison of satellite retrievals of Saharan desert dust aerosol optical depth (AOD) during a strong dust event through March 2006. In this event, a large dust plume was transported over desert, vegetated, and ocean surfaces. The aim is to identify the differences between current datasets. The satellite instruments considered are AATSR, AIRS, MERIS, MISR, MODIS, OMI, POLDER, and SEVIRI. An interesting aspect is that the different algorithms make use of different instrument characteristics to obtain retrievals over bright surfaces. These include multi-angle approaches (MISR, AATSR), polarisation measurements (POLDER), single-view approaches using solar wavelengths (OMI, MODIS), and the thermal infrared spectral region (SEVIRI, AIRS). Differences between instruments, together with the comparison of different retrieval algorithms applied to measurements from the same instrument, provide a unique insight into the performance and characteristics of the various techniques employed. As well as the intercomparison between different satellite products, the AODs have also been compared to co-located AERONET data. Despite the fact that the agreement between satellite and AERONET AODs is reasonably good for all of the datasets, there are significant differences between them when compared to each other, especially over land. These differences are partially due to differences in the algorithms, such as assumptions about aerosol model and surface properties. However, in this comparison of spatially and temporally averaged data, it is important to note that differences in sampling, related to the actual footprint of each instrument on the heterogeneous aerosol field, cloud identification and the quality control flags of each dataset can be an important issue.
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Journal articleKlein KG, Howes GG, TenBarge JM, et al., 2012, , The Astrophysical Journal, Vol: 755, Pages: 159-159, ISSN: 0004-637X
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Journal articleShindell DT, Voulgarakis A, Faluvegi G, et al., 2012, , Atmospheric Chemistry and Physics, Vol: 12, Pages: 6969-6982
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Journal articleAndriopoulou M, Roussos E, Krupp N, et al., 2012, , ICARUS, Vol: 220, Pages: 503-513, ISSN: 0019-1035
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- Citations: 47
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Journal articleSimon S, Kriegel H, Saur J, et al., 2012, , JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, Vol: 117, ISSN: 2169-9380
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- Citations: 39
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Journal articleRay LC, Galand M, Moore LE, et al., 2012, , JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, Vol: 117, ISSN: 2169-9380
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- Citations: 16
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Journal articleChen CHK, Salem CS, Bonnell JW, et al., 2012, , Physical Review Letters, Vol: 109, Pages: 035001-035001, ISSN: 0031-9007
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Journal articleErdos G, Balogh A, 2012, , ASTROPHYSICAL JOURNAL, Vol: 753, ISSN: 0004-637X
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- Citations: 13
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Journal articleSimpson IR, Blackburn M, Haigh JD, 2012, , JOURNAL OF THE ATMOSPHERIC SCIENCES, Vol: 69, Pages: 2152-2170, ISSN: 0022-4928
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- Citations: 20
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