Assimilation of water vapor sensitive infrared brightness temperature observations during a high impact weather event

2012 ◽  
Vol 117 (D19) ◽  
pp. n/a-n/a ◽  
Author(s):  
Jason A. Otkin
Keyword(s):  
Water Vapor ◽  
Brightness Temperature ◽  
High Impact ◽  
Weather Event ◽  
High Impact Weather ◽  
Temperature Observations ◽  
Infrared Brightness

Verification of high-impact weather event forecasts for the region of the Sochi-2014 Olympic Games. Part I: Deterministic forecasts during the test period

2015 ◽  
Vol 40 (9) ◽  
pp. 584-597 ◽  
Author(s):  
A. V. Murav’ev ◽  
D. B. Kiktev ◽  
A. Yu. Bundel’ ◽  
T. G. Dmitrieva ◽  
A. V. Smirnov
Keyword(s):  
Olympic Games ◽  
High Impact ◽  
Test Period ◽  
Weather Event ◽  
High Impact Weather

Validation of high‐impact weather event predictions using an integrated institutional–citizen observational network

Weather ◽  
2019 ◽  
Author(s):  
Valentina Pavan ◽  
Miria Celano ◽  
Anna Fornasiero ◽  
Paolo Patruno ◽  
Virginia Poli ◽  
...  
Keyword(s):  
High Impact ◽  
Weather Event ◽  
Observational Network ◽  
High Impact Weather

scholarly journals Effect of the ingestion in the WRF model of different Sentinel-derived and GNSS-derived products: analysis of the forecasts of a high impact weather event

2019 ◽  
Vol 52 (sup4) ◽  
pp. 16-33 ◽  
Author(s):  
Martina Lagasio ◽  
Luca Pulvirenti ◽  
Antonio Parodi ◽  
Giorgio Boni ◽  
Nazzareno Pierdicca ◽  
...  
Keyword(s):  
Wrf Model ◽  
High Impact ◽  
Weather Event ◽  
Products Analysis ◽  
High Impact Weather

scholarly journals Assessing the Impact of the Covariance Localization Radius when Assimilating Infrared Brightness Temperature Observations Using an Ensemble Kalman Filter

2012 ◽  
Vol 140 (2) ◽  
pp. 543-561 ◽  
Author(s):  
Jason A. Otkin
Keyword(s):  
Kalman Filter ◽  
Brightness Temperature ◽  
Ensemble Kalman Filter ◽  
Short Range ◽  
Infrared Observations ◽  
Localization Radius ◽  
Temperature Observations ◽  
The Impact ◽  
Infrared Brightness ◽  
Cloud Analysis

A regional-scale Observing System Simulation Experiment is used to examine how changes in the horizontal covariance localization radius employed during the assimilation of infrared brightness temperature observations in an ensemble Kalman filter assimilation system impacts the accuracy of atmospheric analyses and short-range model forecasts. The case study tracks the evolution of several extratropical weather systems that occurred across the contiguous United States during 7–8 January 2008. Overall, the results indicate that assimilating 8.5-μm brightness temperatures improves the cloud analysis and forecast accuracy, but has the tendency to degrade the water vapor mixing ratio and thermodynamic fields unless a small localization radius is used. Vertical cross sections showed that varying the localization radius had a minimal impact on the shape of the analysis increments; however, their magnitude consistently increased with increasing localization radius. By the end of the assimilation period, the moisture, temperature, cloud, and wind errors generally decreased with decreasing localization radius and became similar to the Control case in which only conventional observations were assimilated if the shortest localization radius was used. Short-range ensemble forecasts showed that the large positive impact of the infrared observations on the final cloud analysis diminished rapidly during the forecast period, which indicates that it is difficult to maintain beneficial changes to the cloud analysis if the moisture and thermodynamic forcing controlling the cloud evolution are not simultaneously improved. These results show that although assimilation of infrared observations consistently improves the cloud field regardless of the length of the localization radius, it may be necessary to use a smaller radius to also improve the accuracy of the moisture and thermodynamic fields.

IWV retrieval from ground and shipborne GPS receivers during NAWDEX

2020 ◽  
Author(s):  
Pierre Bosser ◽  
Bock Olivier ◽  
Laurain Nicolas
Keyword(s):  
Water Vapor ◽  
North Atlantic ◽  
High Impact ◽  
Gps Data ◽  
Time And Space ◽  
Gps Receivers ◽  
Weather Events ◽  
High Impact Weather ◽  
Gnss Network

<p>For the documentation of time and space variations of water vapor in atmosphere during the Nawdex campaign (North Atlantic, Autumn 2016), a ground network of more than 1200 coastal continuously operation reference GNSS stations has been analyzed. This network spreads from Caribbeans to Morocco through Greenland. Retrieved IWV have been used to evaluate ERAI and ERA5 reanalysis and highlight improvements made by ERA5 (-0.2 +/- 1.6 kg/m2 vs -0.3 +/- 2.1 kg/m2 overall). They are also used to describe high impact weather events that took place during the experiment.</p><p>The analysis of this ground GNSS network has been completed with the IWV retrieved from GPS data acquired by the French RV Atalante which cruises in the area during the experiment. IWV from shipborne receiver are consistent with both ERAI and ERA5 reanalysis (1.0 +/- 3.2 kg/m2 and 1.3 +/- 2.0 kg/m2 respectively) ; shipborne IWV also agree with IWV from nearby ground GNSS stations (-0.4 +/- 0.9 kg/m2). These results confirm the quality of shipborne IWV retrievals and opens up prospects for use in climatology and meteorology.</p>

Cloud episode propagation over the Indonesian Maritime Continent from 10years of infrared brightness temperature observations

2013 ◽  
Vol 120-121 ◽  
pp. 268-286 ◽  
Author(s):  
Marzuki ◽  
Hiroyuki Hashiguchi ◽  
Masayuki K. Yamamoto ◽  
Mamoru Yamamoto ◽  
Shuichi Mori ◽  
...  
Keyword(s):  
Brightness Temperature ◽  
Maritime Continent ◽  
Temperature Observations ◽  
Infrared Brightness
Sign in / Sign up

Export Citation Format

Share Document