scholarly journals Investigating the Influence of Anthropogenic Forcing on Observed Mean and Extreme Sea Level Pressure Trends over the Mediterranean Region

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Armineh Barkhordarian
Keyword(s):  
Sea Level ◽  
Mediterranean Region ◽  
Large Scale ◽  
Internal Variability ◽  
Small Scale ◽  
Sea Level Pressure ◽  
Anthropogenic Forcing ◽  
Level Pressure ◽  
Internal Climate Variability ◽  
The Mediterranean

We investigate whether the observed mean sea level pressure (SLP) trends over the Mediterranean region in the period from 1975 to 2004 are significantly consistent with what 17 models projected as response of SLP to anthropogenic forcing (greenhouse gases and sulphate aerosols, GS). Obtained results indicate that the observed trends in mean SLP cannot be explained by natural (internal) variability. Externally forced changes are detectable in all seasons, except spring. The large-scale component (spatial mean) of the GS signal is detectable in all the 17 models in winter and in 12 of the 17 models in summer. However, the small-scale component (spatial anomalies about the spatial mean) of GS signal is only detectable in winter within 11 of the 17 models. We also show that GS signal has a detectable influence on observed decreasing (increasing) tendency in the frequencies of extremely low (high) SLP days in winter and that these changes cannot be explained by internal climate variability. While the detection of GS forcing is robust in winter and summer, there are striking inconsistencies in autumn, where analysis points to the presence of an external forcing, which is not GS forcing.

scholarly journals The Application of Barnes Filter to Positioning the Center of Landed Tropical Cyclone in Numerical Models

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Haibo Zou ◽  
Shanshan Wu ◽  
Xueting Yi ◽  
Nan Wu
Keyword(s):  
Numerical Model ◽  
Tropical Cyclone ◽  
Sea Level ◽  
Numerical Models ◽  
Small Scale ◽  
Model Output ◽  
Sea Level Pressure ◽  
Level Pressure ◽  
Distance Difference

After a tropical cyclone (TC) making landfall, the numerical model output sea level pressure (SLP) presents many small-scale perturbations which significantly influence the positioning of the TC center. To fix the problem, Barnes filter with weighting parameters C=2500 and G=0.35 is used to remove these perturbations. A case study of TC Fung-Wong which landed China in 2008 shows that Barnes filter not only cleanly removes these perturbations, but also well preserves the TC signals. Meanwhile, the centers (track) obtained from SLP processed with Barnes filter are much closer to the observations than that from SLP without Barnes filter. Based on the distance difference (DD) between the TC center determined by SLP with/without Barnes filter and observation, statistics analysis of 12 TCs which landed China during 2005–2015 shows that in most cases (about 85%) the DDs are small (between −30 km and 30 km), while in a few cases (about 15%) the DDs are large (greater than 30 km even 70 km). This further verifies that the TC centers identified from SLP with Barnes filter are more accurate compared to that directly obtained from model output SLP. Moreover, the TC track identified with Barnes filter is much smoother than that without Barnes filter.

scholarly journals European precipitation connections with large-scale mean sea-level pressure (MSLP) fields

2013 ◽  
Vol 58 (2) ◽  
pp. 310-327 ◽  
Author(s):  
David Lavers ◽  
Christel Prudhomme ◽  
David M. Hannah
Keyword(s):  
Sea Level ◽  
Large Scale ◽  
Sea Level Pressure ◽  
Mean Sea Level ◽  
Level Pressure

Searching for resemblance between large-scale sea level pressure patterns leading to “intense” precipitation events over Italy

2008 ◽  
Vol 95 (1-2) ◽  
pp. 183-196 ◽  
Author(s):  
N. Tartaglione ◽  
M. Maugeri ◽  
F. Dalan ◽  
M. Brunetti ◽  
T. Nanni ◽  
...  
Keyword(s):  
Sea Level ◽  
Large Scale ◽  
Sea Level Pressure ◽  
Level Pressure ◽  
Intense Precipitation ◽  
Precipitation Events

scholarly journals Decadal variability and trends of the Benguela Upwelling System as simulated in a high-resolution ocean simulation

2015 ◽  
Vol 12 (2) ◽  
pp. 403-447
Author(s):  
N. Tim ◽  
E. Zorita ◽  
B. Hünicke
Keyword(s):  
Statistical Analysis ◽  
Pressure Gradient ◽  
Sea Level ◽  
Wind Stress ◽  
Large Scale ◽  
Sea Level Pressure ◽  
Subtropical Anticyclone ◽  
Level Pressure ◽  
Benguela Upwelling ◽  
Atmospheric Variables

Abstract. Detecting the atmospheric drivers of the Benguela Upwelling Systems is essential to understand its present variability and its past and future changes. We present a statistical analysis of an ocean-only simulation driven by observed atmospheric fields over the last decades with the aim of identifying the large-scale atmospheric drivers of upwelling variability and trends. The simulation is found to reproduce well the seasonal cycle of upwelling intensity, with a maximum in the June-to-August season in North Benguela and in the December-to-February season in South Benguela. The statistical analysis of the interannual variability of upwelling focuses on its relationship to atmospheric variables (sea level pressure, 10 m-wind, wind stress). The relationship between upwelling and the atmospheric variables differ somewhat in the two regions, but generally, the correlation patterns reflect the common atmospheric pattern favoring upwelling: southerly wind/wind stress, strong subtropical anticyclone, and an ocean-land sea level pressure gradient. In addition, the statistical link between upwelling and large-scale climate variability modes was analyzed. The El Niño Southern Oscillation and the Antarctic Oscillation exert some influence on austral summer upwelling velocities in South Benguela. The decadal evolution and the long-term trends of upwelling and of ocean-minus-land air pressure gradient do not agree with Bakun's hypothesis that anthropogenic climate change should generally intensify coastal upwelling.

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