scholarly journals Building the integrated observational network of “Transparent Ocean”

2020 ◽  
Vol 65 (25) ◽  
pp. 2654-2661
Author(s):  
Lixin Wu ◽  
Zhaohui Chen ◽  
Xiaopei Lin ◽  
Yongzheng Liu

1999 ◽  
Author(s):  
Philip S. Bogden ◽  
Dan Codiga ◽  
James O'Donnel ◽  
John Marshall ◽  
Michael J. Follows ◽  
...  




2001 ◽  
Author(s):  
James O'Donnell ◽  
Dan Codiga ◽  
Christopher Edwards ◽  
John Marshall ◽  
Michael J. Follows ◽  
...  


2021 ◽  
Vol 2 ◽  
pp. 66-76
Author(s):  
O.V. Volobueva ◽  
◽  
O.N. Toptunova ◽  
Y.V. Drobzheva ◽  
◽  
...  

Analysis of the arrival of southern cyclones to the Republic of Bashkortostan / Volobueva O.V., Toptunova O.N., Drobzheva Y.V. // Hydrometeorological Research and Forecasting, 2021, no. 2 (380), pp. 66-76. The results of the analysis of the arrival of southern cyclones to the territory of the Republic of Bashkortostan for the period of 1993-2018 are presented. Typical trajectories of cyclones, areas of their origin, as well as accompanying adverse weather phenomena are identified according to the observational network of the Bashkir Administration for Hydrometeorology and Environmental Monitoring. In 70 % of cases, southern cyclones move through the territory of the republic and leave it in the southern direction. About 50 % of the depressions come to the Republic of Bashkortostan from the Black Sea and its coast. The upper-air field for the arrival of southern cyclones is the front part of the pressure trough with high geopotential height gradients. The arrivals of southern cyclones have a significant impact on the study area and are closely related to the formation of severe hydrometeorological events. Keywords: southern cyclone, typical territories, the Republic of Bashkortost



2019 ◽  
Vol 93 (S1) ◽  
pp. 146-147
Author(s):  
Hersh Gilbert ◽  
David Eaton


2019 ◽  
Vol 147 (7) ◽  
pp. 2433-2449
Author(s):  
Laura C. Slivinski ◽  
Gilbert P. Compo ◽  
Jeffrey S. Whitaker ◽  
Prashant D. Sardeshmukh ◽  
Jih-Wang A. Wang ◽  
...  

Abstract Given the network of satellite and aircraft observations around the globe, do additional in situ observations impact analyses within a global forecast system? Despite the dense observational network at many levels in the tropical troposphere, assimilating additional sounding observations taken in the eastern tropical Pacific Ocean during the 2016 El Niño Rapid Response (ENRR) locally improves wind, temperature, and humidity 6-h forecasts using a modern assimilation system. Fields from a 50-km reanalysis that assimilates all available observations, including those taken during the ENRR, are compared with those from an otherwise-identical reanalysis that denies all ENRR observations. These observations reveal a bias in the 200-hPa divergence of the assimilating model during a strong El Niño. While the existing observational network partially corrects this bias, the ENRR observations provide a stronger mean correction in the analysis. Significant improvements in the mean-square fit of the first-guess fields to the assimilated ENRR observations demonstrate that they are valuable within the existing network. The effects of the ENRR observations are pronounced in levels of the troposphere that are sparsely observed, particularly 500–800 hPa. Assimilating ENRR observations has mixed effects on the mean-square difference with nearby non-ENRR observations. Using a similar system but with a higher-resolution forecast model yields comparable results to the lower-resolution system. These findings imply a limited improvement in large-scale forecast variability from additional in situ observations, but significant improvements in local 6-h forecasts.



Author(s):  
Olga Zolina ◽  
Clemens Simmer ◽  
Alice Kapala ◽  
Susanne Bachner ◽  
Sergey Gulev ◽  
...  


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