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Dive into the research topics where Melinda S. Peng is active.

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Featured researches published by Melinda S. Peng.


Monthly Weather Review | 2006

A Comparison of Adaptive Observing Guidance for Atlantic Tropical Cyclones

Sharanya J. Majumdar; Sim D. Aberson; Craig H. Bishop; Roberto Buizza; Melinda S. Peng; Carolyn A. Reynolds

Abstract Airborne adaptive observations have been collected for more than two decades in the neighborhood of tropical cyclones, to attempt to improve short-range forecasts of cyclone track. However, only simple subjective strategies for adaptive observations have been used, and the utility of objective strategies to improve tropical cyclone forecasts remains unexplored. Two objective techniques that have been used extensively for midlatitude adaptive observing programs, and the current strategy based on the ensemble deep-layer mean (DLM) wind variance, are compared quantitatively using two metrics. The ensemble transform Kalman filter (ETKF) uses ensembles from NCEP and the ECMWF. Total-energy singular vectors (TESVs) are computed by the ECMWF and the Naval Research Laboratory, using their respective global models. Comparisons of 78 guidance products for 2-day forecasts during the 2004 Atlantic hurricane season are made, on both continental and localized scales relevant to synoptic surveillance missions. ...


Weather and Forecasting | 2007

The Impact of Dropwindsonde Data on Typhoon Track Forecasts in DOTSTAR

Chun-Chieh Wu; Kun-Hsuan Chou; Po-Hsiung Lin; Sim D. Aberson; Melinda S. Peng; Tetsuo Nakazawa

Abstract Starting from 2003, a new typhoon surveillance program, Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR), was launched. During 2004, 10 missions for eight typhoons were conducted successfully with 155 dropwindsondes deployed. In this study, the impact of these dropwindsonde data on tropical cyclone track forecasts has been evaluated with five models (four operational and one research models). All models, except the Geophysical Fluid Dynamics Laboratory (GFDL) hurricane model, show the positive impact that the dropwindsonde data have on tropical cyclone track forecasts. During the first 72 h, the mean track error reductions in the National Centers for Environmental Prediction’s (NCEP) Global Forecast System (GFS), the Navy Operational Global Atmospheric Prediction System (NOGAPS) of the Fleet Numerical Meteorology and Oceanography Center (FNMOC), and the Japanese Meteorological Agency (JMA) Global Spectral Model (GSM) are 14%, 14%, and 19%, respectively. The tra...


Weather and Forecasting | 2007

Analysis of Tropical Cyclogenesis in the Western North Pacific for 2000 and 2001

Bing Fu; Tim Li; Melinda S. Peng; Fuzhong Weng

Abstract High-resolution satellite data and NCEP–NCAR reanalysis data are used to analyze 34 tropical cyclone (TC) genesis events in the western North Pacific during the 2000 and 2001 typhoon seasons. Three types of synoptic-scale disturbances are identified in the pregenesis stages. They are tropical cyclone energy dispersions (TCEDs), synoptic wave trains (SWTs) unrelated to preexisting TCs, and easterly waves (EWs). Among the total 34 TC genesis cases, 6 are associated with TCEDs, 11 cases are associated with SWTs, and 7 cases are associated with EWs. The analyses presented herein indicate that the occurrence of a TCED depends on the TC intensity and the background flow, with stronger cyclones and weaker background easterlies being more likely to induce a Rossby wave train. Not all Rossby wave trains would lead to the formation of a new TC. Among the 11 SWT cases, 4 cases are triggered by equatorial mixed Rossby–gravity waves. Cyclogenesis events associated with EWs are identified by the westward propa...


Monthly Weather Review | 2010

Quantifying Environmental Control on Tropical Cyclone Intensity Change

Eric A. Hendricks; Melinda S. Peng; Bing Fu; Tim Li

Abstract Composite analysis is used to examine environmental and climatology and persistence characteristics of tropical cyclones (TCs) undergoing different intensity changes in the western North Pacific (WPAC) and North Atlantic (ATL) ocean basins. Using the cumulative distribution functions of 24-h intensity changes from the 2003–08 best-track data, four intensity change bins are defined: rapidly intensifying (RI), intensifying, neutral, and weakening. The Navy Operational Global Atmospheric Prediction System daily 0000 and 1200 UTC global analysis and Tropical Rainfall Measuring Mission Microwave Imager data are then used as proxies for the real atmosphere, and composites of various environmental fields believed relevant to TC intensity change are made in the vicinity of the TCs. These composites give the average characteristics near the TC, prior to undergoing a given intensity change episode. For the environmental variables, statistically significant differences are examined between RI storms and the...


Monthly Weather Review | 2004

Recent Modifications of the Emanuel Convective Scheme in the Navy Operational Global Atmospheric Prediction System

Melinda S. Peng; James A. Ridout; Timothy F. Hogan

Abstract The convective parameterization of Emanuel has been employed in the forecast model of the Navy Operational Global Atmospheric Prediction System (NOGAPS) since 2000, when it replaced a version of the relaxed Arakawa–Schubert scheme. Although in long-period data assimilation forecast tests the Emanuel scheme has been found to perform quite well in NOGAPS, particularly for tropical cyclones, some weaknesses have also become apparent. These weaknesses include underprediction of heavy-precipitation events, too much light precipitation, and unrealistic heating at upper levels. Recent research efforts have resulted in modifications of the scheme that are designed to reduce such problems. One change described here involves the partitioning of the cloud-base mass flux into mixing cloud mass flux at individual levels. The new treatment significantly reduces a heating anomaly near the tropopause that is associated with a large amount of mixing cloud mass flux ascribed to that region in the original Emanuel ...


Journal of the Atmospheric Sciences | 2006

Sensitivity of Tropical Cyclone Forecasts as Revealed by Singular Vectors

Melinda S. Peng; Carolyn A. Reynolds

Abstract Singular vector (SV) sensitivity, calculated using the adjoint model of the U.S. Navy Operation Global Atmosphere Prediction System (NOGAPS), is used to study the dynamics associated with tropical cyclone evolution. For each model-predicted tropical cyclone, SVs are constructed that optimize perturbation energy within a 20° by 20° latitude/longitude box centered on the 48-h forecast position of the cyclone. The initial SVs indicate regions where the 2-day forecast of the storm is very sensitive to changes in the analysis. Composites of the SVs for straight-moving cyclones and non-straight-moving cyclones that occurred in the Northern Hemisphere during its summer season in 2003 are examined. For both groups, the initial-time SV sensitivity exhibits a maximum within an annulus approximately 500 km from the center of the storms, in the region where the potential vorticity gradient of the vortex first changes sign. In the azimuthal direction, the composite initial-time SV maximum for the straight-mov...


Monthly Weather Review | 2009

Intercomparison of Targeted Observation Guidance for Tropical Cyclones in the Northwestern Pacific

Chun-Chieh Wu; Jan Huey Chen; Sharanya J. Majumdar; Melinda S. Peng; Carolyn A. Reynolds; Sim D. Aberson; Roberto Buizza; Munehiko Yamaguchi; Shin Gan Chen; Tetsuo Nakazawa; Kun Hsian Chou

Abstract This study compares six different guidance products for targeted observations over the northwest Pacific Ocean for 84 cases of 2-day forecasts in 2006 and highlights the unique dynamical features affecting the tropical cyclone (TC) tracks in this basin. The six products include three types of guidance based on total-energy singular vectors (TESVs) from different global models, the ensemble transform Kalman filter (ETKF) based on a multimodel ensemble, the deep-layer mean (DLM) wind variance, and the adjoint-derived sensitivity steering vector (ADSSV). The similarities among the six products are evaluated using two objective statistical techniques to show the diversity of the sensitivity regions in large, synoptic-scale domains and in smaller domains local to the TC. It is shown that the three TESVs are relatively similar to one another in both the large and the small domains while the comparisons of the DLM wind variance with other methods show rather low similarities. The ETKF and the ADSSV usua...


Monthly Weather Review | 2012

Developing versus Nondeveloping Disturbances for Tropical Cyclone Formation. Part II: Western North Pacific*

Bing Fu; Melinda S. Peng; Tim Li; Duane E. Stevens

GlobaldailyreanalysisfieldsfromtheNavyOperationalGlobalAtmosphericPredictionSystem(NOGAPS) are used to analyze Northern Hemisphere summertime (June‐September) developing and nondeveloping disturbances for tropical cyclone (TC) formation from 2003 to 2008. This is Part II of the study focusing on the westernNorthPacific(WNP),followingPartIfortheNorthAtlantic(NATL)basin.Tropicalcyclonegenesisin the WNP shows different characteristics from that in the NATL in both large-scale environmental conditions and prestorm disturbances. A box difference index (BDI) is used to identify parameters in differentiating between the developing and nondeveloping disturbances. In order of importance, they are 1) 800-hPa maximum relative vorticity, 2) rain rate, 3) vertically averaged horizontal shear, 4) vertically averaged divergence, 5) 925‐400-hPa water vapor content, 6) SST, and 7) translational speed. The study indicates that dynamic variables are more important in TC genesis in the WNP, while in Part I of the study the thermodynamic variables are identified as more important in the NATL. The characteristic differences between the WNP and the NATL are compared.


Monthly Weather Review | 2012

Developing versus Nondeveloping Disturbances for Tropical Cyclone Formation. Part I: North Atlantic*

Melinda S. Peng; Bing Fu; Tim Li; Duane E. Stevens

AbstractThis study investigates the characteristic differences of tropical disturbances that eventually develop into tropical cyclones (TCs) versus those that did not, using global daily analysis fields of the Navy Operational Global Atmospheric Prediction System (NOGAPS) from the years 2003 to 2008. Time filtering is applied to the data to extract tropical waves with different frequencies. Waves with a 3–8-day period represent the synoptic-scale disturbances that are representatives as precursors of TCs, and waves with periods greater than 20 days represent the large-scale background environmental flow. Composites are made for the developing and nondeveloping synoptic-scale disturbances in a Lagrangian frame following the disturbances. Similarities and differences between them are analyzed to understand the dynamics and thermodynamics of TC genesis. Part I of this study focuses on events in the North Atlantic, while Part II focuses on the western North Pacific.A box difference index (BDI), accounting for...


Monthly Weather Review | 2007

Interpretation of Adaptive Observing Guidance for Atlantic Tropical Cyclones

Carolyn A. Reynolds; Melinda S. Peng; Sharanya J. Majumdar; Sim D. Aberson; Craig H. Bishop; Roberto Buizza

Abstract Adaptive observing guidance products for Atlantic tropical cyclones are compared using composite techniques that allow one to quantitatively examine differences in the spatial structures of the guidance maps and relate these differences to the constraints and approximations of the respective techniques. The guidance maps are produced using the ensemble transform Kalman filter (ETKF) based on ensembles from the National Centers for Environmental Prediction and the European Centre for Medium-Range Weather Forecasts (ECMWF), and total-energy singular vectors (TESVs) produced by ECMWF and the Naval Research Laboratory. Systematic structural differences in the guidance products are linked to the fact that TESVs consider the dynamics of perturbation growth only, while the ETKF combines information on perturbation evolution with error statistics from an ensemble-based data assimilation scheme. The impact of constraining the SVs using different estimates of analysis error variance instead of a total-ener...

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Tim Li

Nanjing University of Information Science and Technology

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Carolyn A. Reynolds

United States Naval Research Laboratory

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Chun-Chieh Wu

National Taiwan University

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Hung-Chi Kuo

National Taiwan University

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Bing Fu

University of Hawaii

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Sim D. Aberson

National Oceanic and Atmospheric Administration

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Yi-Ting Yang

National Taiwan University

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James D. Doyle

United States Naval Research Laboratory

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