Sheng-Hung Wang
Ohio State University
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Publication
Featured researches published by Sheng-Hung Wang.
Journal of Climate | 2006
Jason E. Box; David H. Bromwich; Bruce A. Veenhuis; Le-Sheng Bai; Julienne Stroeve; Jeffrey C. Rogers; Konrad Steffen; Terry M. Haran; Sheng-Hung Wang
Regional climate model runs using the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesocale Model modified for use in polar regions (Polar MM5), calibrated by independent in situ observations, demonstrate coherent regional patterns of Greenland ice sheet surface mass balance (SMB) change over a 17-yr period characterized by warming (1988–2004). Both accumulation and melt rates increased, partly counteracting each other for an overall negligible SMB trend. However, a 30% increase in meltwater runoff over this period suggests that the overall ice sheet mass balance has been increasingly negative, given observed meltwater-induced flow acceleration. SMB temporal variability of the whole ice sheet is best represented by ablation zone variability, suggesting that increased melting dominates over increased accumulation in a warming scenario. The melt season grew in duration over nearly the entire ablation zone by up to 40 days, 10 days on average. Accumulation area ratio decreased by 3%. Albedo reductions are apparent in five years of the Moderate Resolution Imaging Spectroradiometer (MODIS) derived data (2000–04). The Advanced Very High Resolution Radiometer (AVHRR)-derived albedo changes (1988–99) were less consistent spatially. A conservative assumption as to glacier discharge and basal melting suggests an ice sheet mass loss over this period greater than 100 km 3 yr 1 , framing the Greenland ice sheet as the largest single glacial contributor to recent global sea level rise. Surface mass balance uncertainty, quantified from residual random error between model and independent observations, suggests two things: 1) changes smaller than approximately 200 km 3 yr 1 would not satisfy conservative statistical significance thresholds (i.e., two standard deviations) and 2) although natural variability and model uncertainty were separated in this analysis, the magnitude of each were roughly equivalent. Therefore, improvements in model accuracy and analysis of longer periods (assuming larger changes) are both needed for definitive mass balance change assessments.
Philosophical Transactions of the Royal Society A | 2006
Andrew J. Monaghan; David H. Bromwich; Sheng-Hung Wang
Polar MM5, a mesoscale atmospheric model optimized for use over polar ice sheets, is employed to simulate Antarctic accumulation in recent decades. Two sets of simulations, each with different initial and boundary conditions, are evaluated for the 17 yr period spanning 1985–2001. The initial and boundary conditions for the two sets of runs are provided by the (i) European Centre for Medium-Range Weather Forecasts 40 year Reanalysis, and (ii) National Centres for Environmental Prediction—Department of Energy Atmospheric Model Intercomparison Project Reanalysis II. This approach is used so that uncertainty can be assessed by comparing the two resulting datasets. There is broad agreement between the two datasets for the annual precipitation trends for 1985–2001. These generally agree with ice core and snow stake accumulation records at various locations around the continent, indicating broad areas of both upward and downward trends. Averaged over the continent the annual trends are small and not statistically different from zero, suggesting that recent Antarctic snowfall changes do not mitigate current sea-level rise. However, this result does not suggest that Antarctica is isolated from the recent climate changes occurring elsewhere on Earth. Rather, these are expressed by strong seasonal and regional precipitation changes.
Monthly Weather Review | 2005
David H. Bromwich; Sheng-Hung Wang
Abstract Many aspects of reanalysis data are of high quality over regions with sufficiently dense data, but the accuracy is uncertain over areas with sparse observations. NCEP–NCAR reanalysis (NNR) and ECMWF 15/40-Yr Re-Analysis (ERA-15 and ERA-40) variables are compared to two independent rawinsonde datasets from the periphery of the Arctic Ocean during the late 1980s and early 1990s: the Coordinated Eastern Arctic Research Experiment (CEAREX) and the Lead Experiment (LeadEx). The study is prompted by J. A. Francis who found that the NNR and ERA-15 upper-level winds are very different from those observed during these two field experiments. All three reanalyses display large biases in comparisons of the wind components and wind speeds with CEAREX observations, particularly above the 500-hPa level, but exhibit smaller discrepancies with respect to the LeadEx data, generally consistent with the previous findings of J. A. Francis. However, all three reanalyses well capture the wind variability during both ex...
Journal of Climate | 2014
Aaron B. Wilson; David H. Bromwich; Keith M. Hines; Sheng-Hung Wang
AbstractTwo El Nino flavors have been defined based on whether warm sea surface temperature (SST) anomalies are located in the central or eastern tropical Pacific (CP or EP). This study further characterizes the impacts on atmospheric circulation in the high latitudes of the Southern Hemisphere associated with these types of El Nino events though a series of numerical simulations using the National Center for Atmospheric Research Community Atmosphere Model (CAM). Comparing results with the Interim ECMWF Re-Analysis (ERA-Interim), CAM simulates well the known changes to blocking over Australia and a southward shift in the subtropical jet stream across the eastern Pacific basin during CP events. More importantly for the high southern latitudes, CAM simulates a westward shift in upper-level divergence in the tropical Pacific, which causes the Pacific–South American stationary wave pattern to shift toward the west across the entire South Pacific. These changes to the Rossby wave source region impact the South...
Quaternary International | 2002
David H. Bromwich; E. Richard Toracinta; Sheng-Hung Wang
The 50+ years National Centers for Environmental Prediction-National Center for Atmospheric Research reanalysis data set is used to locate distinct atmospheric circulation patterns favoring glacial initiation over northeastern North America (50–801N, 60–901W). These patterns yield abundant winter snowfall and anomalously cool summer temperatures. We assume that atmosphere/ ocean boundary conditions during the last interglacial and today are similar. Atmospheric circulation patterns inferred from composite mean sea level pressure (MSLP) anomaly fields for the extreme cold summers and wet winters are consistent with the respective composite summer 2-m temperature and winter precipitation anomaly patterns. Summer 2-m temperatures (winter precipitation rate) are strongly (weakly) correlated with North Atlantic sea surface temperatures (SST). Extreme season MSLP anomalies and associated wind stress may augment the SST anomalies via Ekman transport. The contemporary climate record over the study region shows substantial interannual variability, consistent with the lack of glaciation. The extreme cold summer/wet winter criteria for glaciation occur in the contemporary record, but are rare. Mass balance calculations using NNR demonstrate that a perennial snowfield is possible in the study region, but glacial onset requires a change in the frequency distribution of climatic events to yield a sustained (decadal) period of cold summers that preserve the winter accumulation. r 2002 Elsevier Science Ltd and INQUA. All rights reserved.
Journal of Climate | 2007
Jeffrey C. Rogers; Sheng-Hung Wang; Jill S. M. Coleman
Abstract A 124 (1882–2005) summer record of total surface energy content consisting of time series of surface equivalent temperature (TE) and its components T (mean air temperature) and Lq/cp (moist enthalpy, denoted Lq) is developed, quality controlled, and analyzed for Columbus, Ohio, where long records of monthly dewpoint temperature are available. The analysis shows that the highest TE occurs during the summer of 1995 when both T and Lq were very high, associated with a severe midwestern heat wave. That year contrasts with the hot summers of 1930–36, when Lq and TE had relatively low or negative anomalies (low humidity) compared to those of T. Following the 1930–36 summers, T and Lq departures are much more typically the same sign in individual summers, and the two parameters develop a statistically significant high positive correlation into the twenty-first century. Mean T and Lq departures from the long-term normal have opposite signs, however, when summers are stratified either by seasonal total ra...
Bulletin of the American Meteorological Society | 2017
David H. Bromwich; A. B. Wilson; Le-Sheng Bai; Zhiquan Liu; Michael Barlage; C.-F. Shih; S. Maldonado; Keith M. Hines; Sheng-Hung Wang; J. Woollen; B. Kuo; Hui-Chuan Lin; Tae-Kwon Wee; Mark C. Serreze; John E. Walsh
AbstractThe Arctic is a vital component of the global climate, and its rapid environmental evolution is an important element of climate change around the world. To detect and diagnose the changes occurring to the coupled Arctic climate system, a state-of-the-art synthesis for assessment and monitoring is imperative. This paper presents the Arctic System Reanalysis, version 2 (ASRv2), a multiagency, university-led retrospective analysis (reanalysis) of the greater Arctic region using blends of the polar-optimized version of the Weather Research and Forecasting (Polar WRF) Model and WRF three-dimensional variational data assimilated observations for a comprehensive integration of the regional climate of the Arctic for 2000–12. New features in ASRv2 compared to version 1 (ASRv1) include 1) higher-resolution depiction in space (15-km horizontal resolution), 2) updated model physics including subgrid-scale cloud fraction interaction with radiation, and 3) a dual outer-loop routine for more accurate data assimi...
Journal of Applied Meteorology and Climatology | 2016
Jonathan D. Wille; David H. Bromwich; Melissa A. Nigro; John J. Cassano; Marian E. Mateling; Matthew A. Lazzara; Sheng-Hung Wang
AbstractFlight operations in Antarctica rely on accurate weather forecasts aided by the numerical predictions primarily produced by the Antarctic Mesoscale Prediction System (AMPS) that employs the polar version of the Weather Research and Forecasting (Polar WRF) Model. To improve the performance of the model’s Mellor–Yamada–Janjic (MYJ) planetary boundary layer (PBL) scheme, this study examines 1.5 yr of meteorological data provided by the 30-m Alexander Tall Tower! (ATT) automatic weather station on the western Ross Ice Shelf from March 2011 to July 2012. Processed ATT observations at 10-min intervals from the multiple observational levels are compared with the 5-km-resolution AMPS forecasts run daily at 0000 and 1200 UTC. The ATT comparison shows that AMPS has fundamental issues with moisture and handling stability as a function of wind speed. AMPS has a 10-percentage-point (i.e., RH unit) relative humidity dry bias year-round that is highest when katabatic winds from the Byrd and Mulock Glaciers excee...
Science | 2006
Andrew J. Monaghan; David H. Bromwich; Ryan L. Fogt; Sheng-Hung Wang; Paul Andrew Mayewski; Daniel A. Dixon; Alexey Ekaykin; Massimo Frezzotti; Ian D. Goodwin; Elisabeth Isaksson; Susan Kaspari; Vin Morgan; Hans Oerter; Tas D. van Ommen; Cornelius J. Van der Veen; Jiahong Wen
Atmospheric Chemistry and Physics | 2013
Cevilia Wesslén; Michael Tjernström; David H. Bromwich; G. de Boer; Annica M. L. Ekman; Le-Sheng Bai; Sheng-Hung Wang