scholarly journals Genesis of tropical cyclone Nargis revealed by multiple satellite observations

2009 ◽  
Vol 36 (6) ◽  
Author(s):  
Kazuyoshi Kikuchi ◽  
Bin Wang ◽  
Hironori Fudeyasu
Keyword(s):  
Tropical Cyclone ◽  
Satellite Observations ◽  
Cyclone Nargis

Satellite Observations of Variations in Tropical Cyclone Convection Caused by Upper-Tropospheric Troughs

1991 ◽  
Vol 30 (8) ◽  
pp. 1163-1184 ◽  
Author(s):  
Edward B. Rodgers ◽  
Simon W. Chang ◽  
John Stout ◽  
Joseph Steranka ◽  
Jainn-Jong Shi
Keyword(s):  
Tropical Cyclone ◽  
Satellite Observations

On the Predictability and Dynamics of Tropical Cyclone: Nargis (2008)

2020 ◽  
Vol 125 (9) ◽  
Author(s):  
Jayakrishnan K U ◽  
Govindan Kutty ◽  
Babitha George
Keyword(s):  
Tropical Cyclone ◽  
Cyclone Nargis

scholarly journals Impact of Satellite Observations on the Tropical Cyclone Track Forecasts of the Navy Operational Global Atmospheric Prediction System

2009 ◽  
Vol 137 (1) ◽  
pp. 41-50 ◽  
Author(s):  
James S. Goerss
Keyword(s):  
Tropical Cyclone ◽  
Precipitable Water ◽  
Satellite Observation ◽  
Satellite Observations ◽  
Prediction System ◽  
Wind Speeds ◽  
The North ◽  
Percent Improvement ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
The Impact

Abstract The tropical cyclone (TC) track forecasts of the Navy Operational Global Atmospheric Prediction System (NOGAPS) were evaluated for a number of data assimilation experiments conducted using observational data from two periods: 4 July–31 October 2005 and 1 August–30 September 2006. The experiments were designed to illustrate the impact of different types of satellite observations on the NOGAPS TC track forecasts. The satellite observations assimilated in these experiments consisted of feature-track winds from geostationary and polar-orbiting satellites, Special Sensor Microwave Imager (SSM/I) total column precipitable water and wind speeds, Advanced Microwave Sounding Unit-A (AMSU-A) radiances, and Quick Scatterometer (QuikSCAT) and European Remote Sensing Satellite-2 (ERS-2) scatterometer winds. There were some differences between the results from basin to basin and from year to year, but the combined results for the 2005 and 2006 test periods for the North Pacific and Atlantic Ocean basins indicated that the assimilation of the feature-track winds from the geostationary satellites had the most impact, ranging from 7% to 24% improvement in NOGAPS TC track forecasts. This impact was statistically significant at all forecast lengths. The impact of the assimilation of SSM/I precipitable water was consistently positive and statistically significant at all forecast lengths. The improvements resulting from the assimilation of AMSU-A radiances were also consistently positive and significant at most forecast lengths. There were no significant improvements/degradations from the assimilation of the other satellite observation types [e.g., Moderate Resolution Imaging Spectroradiometer (MODIS) winds, SSM/I wind speeds, and scatterometer winds]. The assimilation of all satellite observations resulted in a gain in skill of roughly 12 h for the NOGAPS 48- and 72-h TC track forecasts and a gain in skill of roughly 24 h for the 96- and 120-h forecasts. The percent improvement in these forecasts ranged from almost 20% at 24 h to over 40% at 120 h.

A Global Perspective of Tropical Cyclone Precipitation in Reanalyses

2021 ◽  
pp. 1-57
Author(s):  
Evan Jones ◽  
Allison A. Wing ◽  
Rhys Parfitt
Keyword(s):  
Tropical Cyclone ◽  
Spatial Patterns ◽  
Satellite Observations ◽  
Global Perspective ◽  
Manual Tracking ◽  
Total Precipitation ◽  
The West ◽  
Tracking Method ◽  
East Pacific ◽  
Relative Spread

AbstractThis study compares the spread in climatological tropical cyclone (TC) precipitation across eight different reanalysis datasets: NCEP-CFSR, ERA-20C, ERA-40, ERA5, ERA-Interim, JRA-55, MERRA-2 and NOAA-20C. TC precipitation is assigned using manual tracking via a fixed 500-km radius from each TC center. The reanalyses capture similar general spatial patterns of TC precipitation and TC precipitation fraction, defined as the fraction of annual precipitation assigned to TCs, and the spread in TC precipitation is larger than the spread in total precipitation across reanalyses. The spread in TC precipitation relative to the inter-reanalysis mean TC precipitation, or relative spread, is larger in the East Pacific than in the West Pacific. Partitioned by reanalysis intensity, the largest relative spread across reanalyses in TC precipitation is from high intensity TCs. Compared to satellite observations, reanalyses show lower climatological mean annual TC precipitation over most areas. A comparison of area-averaged precipitation rate in TCs composited over reanalysis intensity shows the spread across reanalyses is larger for higher intensity TCs. Testing the sensitivity of TC precipitation assignment to tracking method shows that climatological mean annual TC precipitation is systematically larger when assigned via manual tracking versus objective tracking. However, this tendency is minimized when TC precipitation is normalized by TC density. Overall, TC precipitation in reanalyses is not only affected by horizontal output resolution or any TC pre-processing, but also data assimilation and parameterization schemes. The results indicate that improvements in the representation of TCs and their precipitation in reanalyses are needed to improve overall precipitation.

scholarly journals Using Satellite Observations to Evaluate the Relationships between Ice Condensate, Latent Heat Release, and Tropical Cyclone Intensification in a Mesoscale Model

2021 ◽  
Vol 149 (1) ◽  
pp. 113-129
Author(s):  
Shun-Nan Wu ◽  
Brian J. Soden ◽  
Yoshiaki Miyamoto ◽  
David S. Nolan ◽  
Stefan A. Buehler
Keyword(s):  
Tropical Cyclone ◽  
Heat Release ◽  
Water Content ◽  
Latent Heat ◽  
Satellite Observations ◽  
Latent Heating ◽  
Latent Heat Release ◽  
Model Simulations ◽  
Ice Water Content ◽  
Ice Water

AbstractThis study examines the relationship between frozen hydrometeors and latent heating in model simulations and evaluates the capability of the Weather Research and Forecasting (WRF) Model to reproduce the observed frozen hydrometeors and their relationship to tropical cyclone (TC) intensification. Previous modeling studies have emphasized the importance of both the amount and location of latent heating in modulating the evolution of TC intensity. However, the lack of observations limits a full understanding of its importance in the real atmosphere. Idealized simulations using WRF indicate that latent heating is strongly correlated to the amount of ice water content, suggesting that ice water content can serve as an observable proxy for latent heat release in the mid- to upper troposphere. Based on this result, satellite observations are used to create storm-centered composites of ice water path as a function of TC intensity. The model reasonably captures the vertical and horizontal distribution of ice water content and its dependence upon TC intensity, with differences typically less than 20%. The model also captures the signature of increased ice water content for intensifying TCs, suggesting that observations of ice water content provide a useful diagnostic for understanding and evaluating model simulations of TC intensification.

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