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Dive into the research topics where Julia V. Manganello is active.

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Featured researches published by Julia V. Manganello.


Journal of Climate | 2012

Tropical Cyclone Climatology in a 10-km Global Atmospheric GCM: Toward Weather-Resolving Climate Modeling

Julia V. Manganello; Kevin I. Hodges; James L. Kinter; Benjamin A. Cash; Lawrence Marx; Thomas Jung; Deepthi Achuthavarier; Jennifer M. Adams; Eric L. Altshuler; Bohua Huang; Emilia K. Jin; Cristiana Stan; Peter Towers; Nils P. Wedi

AbstractNorthern Hemisphere tropical cyclone (TC) activity is investigated in multiyear global climate simulations with the ECMWF Integrated Forecast System (IFS) at 10-km resolution forced by the observed records of sea surface temperature and sea ice. The results are compared to analogous simulations with the 16-, 39-, and 125-km versions of the model as well as observations.In the North Atlantic, mean TC frequency in the 10-km model is comparable to the observed frequency, whereas it is too low in the other versions. While spatial distributions of the genesis and track densities improve systematically with increasing resolution, the 10-km model displays qualitatively more realistic simulation of the track density in the western subtropical North Atlantic. In the North Pacific, the TC count tends to be too high in the west and too low in the east for all resolutions. These model errors appear to be associated with the errors in the large-scale environmental conditions that are fairly similar in this reg...


Bulletin of the American Meteorological Society | 2013

Revolutionizing Climate Modeling with Project Athena: A Multi-Institutional, International Collaboration

James L. Kinter; Benjamin A. Cash; Deepthi Achuthavarier; J. D. Adams; Eric L. Altshuler; P. Dirmeyer; B. Doty; B. Huang; E. K. Jin; Lawrence Marx; Julia V. Manganello; Cristiana Stan; T. Wakefield; T. N. Palmer; M. Hamrud; Thomas Jung; Martin Miller; Peter Towers; Nils P. Wedi; Masaki Satoh; Hiroyuki Tomita; Chihiro Kodama; Tomoe Nasuno; Kazuyoshi Oouchi; Yohei Yamada; Hiroshi Taniguchi; P. Andrews; T. Baer; M. Ezell; C. Halloy

The importance of using dedicated high-end computing resources to enable high spatial resolution in global climate models and advance knowledge of the climate system has been evaluated in an international collaboration called Project Athena. Inspired by the World Modeling Summit of 2008 and made possible by the availability of dedicated high-end computing resources provided by the National Science Foundation from October 2009 through March 2010, Project Athena demonstrated the sensitivity of climate simulations to spatial resolution and to the representation of subgrid-scale processes with horizontal resolutions up to 10 times higher than contemporary climate models. While many aspects of the mean climate were found to be reassuringly similar, beyond a suggested minimum resolution, the magnitudes and structure of regional effects can differ substantially. Project Athena served as a pilot project to demonstrate that an effective international collaboration can be formed to efficiently exploit dedicated sup...


Journal of Hydrometeorology | 2012

Evidence for Enhanced Land–Atmosphere Feedback in a Warming Climate

Paul A. Dirmeyer; Benjamin A. Cash; James L. Kinter; Cristiana Stan; Thomas Jung; Lawrence Marx; Peter Towers; Nils P. Wedi; Jennifer M. Adams; Eric L. Altshuler; Bohua Huang; Emilia K. Jin; Julia V. Manganello

AbstractGlobal simulations have been conducted with the European Centre for Medium-Range Weather Forecasts operational model run at T1279 resolution for multiple decades representing climate from the late twentieth and late twenty-first centuries. Changes in key components of the water cycle are examined, focusing on variations at short time scales. Metrics of coupling and feedbacks between soil moisture and surface fluxes and between surface fluxes and properties of the planetary boundary layer (PBL) are inspected. Features of precipitation and other water cycle trends from coupled climate model consensus projections are well simulated. Extreme 6-hourly rainfall totals become more intense over much of the globe, suggesting an increased risk for flash floods. Seasonal-scale droughts are projected to escalate over much of the subtropics and midlatitudes during summer, while tropical and winter droughts become less likely. These changes are accompanied by an increase in the responsiveness of surface evapotr...


Journal of Climate | 2014

Future Changes in the Western North Pacific Tropical Cyclone Activity Projected by a Multidecadal Simulation with a 16-km Global Atmospheric GCM

Julia V. Manganello; Kevin I. Hodges; Brandt Dirmeyer; James L. Kinter; Benjamin A. Cash; Lawrence Marx; Thomas Jung; Deepthi Achuthavarier; Jennifer M. Adams; Eric L. Altshuler; Bohua Huang; Emilia K. Jin; Peter Towers; Nils P. Wedi

AbstractHow tropical cyclone (TC) activity in the northwestern Pacific might change in a future climate is assessed using multidecadal Atmospheric Model Intercomparison Project (AMIP)-style and time-slice simulations with the ECMWF Integrated Forecast System (IFS) at 16-km and 125-km global resolution. Both models reproduce many aspects of the present-day TC climatology and variability well, although the 16-km IFS is far more skillful in simulating the full intensity distribution and genesis locations, including their changes in response to El Nino–Southern Oscillation. Both IFS models project a small change in TC frequency at the end of the twenty-first century related to distinct shifts in genesis locations. In the 16-km IFS, this shift is southward and is likely driven by the southeastward penetration of the monsoon trough/subtropical high circulation system and the southward shift in activity of the synoptic-scale tropical disturbances in response to the strengthening of deep convective activity over ...


Journal of Climate | 2015

ENSO Prediction in Project Minerva: Sensitivity to Atmospheric Horizontal Resolution and Ensemble Size

Jieshun Zhu; Bohua Huang; Ben Cash; James L. Kinter; Julia V. Manganello; Rondrotiana Barimalala; Eric L. Altshuler; F. Vitart; Franco Molteni; Peter Towers

AbstractThis study examines El Nino–Southern Oscillation (ENSO) prediction in Project Minerva, a recent collaboration between the Center for Ocean–Land–Atmosphere Studies (COLA) and the European Centre for Medium-Range Weather Forecasts (ECMWF). The focus is primarily on the impact of the atmospheric horizontal resolution on ENSO prediction, but the effect from different ensemble sizes is also discussed. Particularly, three sets of 7-month hindcasts performed with ECMWF prediction system are compared, starting from 1 May (1 November) during 1982–2011 (1982–2010): spectral T319 atmospheric resolution with 15 ensembles, spectral T639 with 15 ensembles, and spectral T319 with 51 ensembles. The analysis herein shows that simply increasing either ensemble size from 15 to 51 or atmospheric horizontal resolution from T319 to T639 does not necessarily lead to major improvement in the ENSO prediction skill with current climate models. For deterministic prediction skill metrics, the three sets of predictions do not...


Journal of Advances in Modeling Earth Systems | 2016

The heated condensation framework as a convective trigger in the NCEP Climate Forecast System version 2

Rodrigo J. Bombardi; Ahmed B. Tawfik; Julia V. Manganello; Lawrence Marx; Chul-Su Shin; Subhadeep Halder; Edwin K. Schneider; Paul A. Dirmeyer; James L. Kinter

An updated version of the Heated Condensation Framework (HCF) is implemented as a convective triggering criterion into the National Centers for Environmental Prediction (NCEP) Climate Forecast System version 2 (CFSv2). The new trigger replaces the original criteria in both the deep (Simplified Arakawa-Schubert – SAS) and shallow (SAS based) convective schemes. The performance of the original and new triggering criteria is first compared against radiosonde observations. Then, a series of hindcasts are performed to evaluate the influence of the triggering criterion in the CFSv2 representation of summer precipitation, the diurnal cycle of precipitation, and hurricanes that made landfall. The observational analysis shows that the HCF trigger better captures the frequency of convection, where the original SAS trigger initiates convection too often. When implemented in CFSv2, the HCF trigger improves the seasonal forecast of the Indian summer monsoon rainfall, including the representation of the onset dates of the rainy season over India. On the other hand, the HCF trigger increases error in the seasonal forecast of precipitation over the eastern United States. The HCF trigger also improves the representation of the intensity of hurricanes. Moreover, the simulation of hurricanes provides insights on the mechanism whereby the HCF trigger impacts the representation of convection.


Journal of Climate | 2015

Regional Structure of the Indian Summer Monsoon in Observations, Reanalysis, and Simulation

Benjamin A. Cash; James L. Kinter; Jennifer M. Adams; Eric L. Altshuler; Bohua Huang; Emilia K. Jin; Julia V. Manganello; L. Marx; Thomas Jung

AbstractRegional variations in seasonal mean Indian summer monsoon rainfall and circulation for the period 1979–2009 are investigated using multiple data products. The focus is on four separate regions: the Western Ghats (WG), the Ganges basin (GB), the Bay of Bengal (BB), and Bangladesh–northeastern India (BD). Data reliability varies strongly by region, with particularly low correlations between different products for the BB and BD regions. Correlations between regions are generally not statistically significant, indicating rainfall varies independently in these four regions. The diagnosed associations between rainfall, circulation, and sea surface temperatures can be sensitive to the choice of rainfall product, and multiple precipitation products may need to be analyzed in this region to ensure that the results are robust.Enhanced precipitation in the BD region is associated with anomalous anticyclonic circulation at 850 mb and westerly anomalies along the foothills of the Tibetan Plateau, while precip...


Journal of Climate | 2016

Seasonal Forecasts of Tropical Cyclone Activity in a High-Atmospheric-Resolution Coupled Prediction System*

Julia V. Manganello; Kevin I. Hodges; Benjamin A. Cash; James L. Kinter; Eric L. Altshuler; Michael J. Fennessy; F. Vitart; Franco Molteni; Peter Towers

AbstractSeasonal forecast skill of the basinwide and regional tropical cyclone (TC) activity in an experimental coupled prediction system based on the ECMWF System 4 is assessed. As part of a collaboration between the Center for Ocean–Land–Atmosphere Studies (COLA) and the ECMWF called Project Minerva, the system is integrated at the atmospheric horizontal spectral resolutions of T319, T639, and T1279. Seven-month hindcasts starting from 1 May for the years 1980–2011 are produced at all three resolutions with at least 15 ensemble members. The Minerva system demonstrates statistically significant skill for retrospective forecasts of TC frequency and accumulated cyclone energy (ACE) in the North Atlantic (NA), eastern North Pacific (EP), and western North Pacific. While the highest scores overall are achieved in the North Pacific, the skill in the NA appears to be limited by an overly strong influence of the tropical Pacific variability. Higher model resolution improves skill scores for the ACE and, to a le...


Climate Dynamics | 2017

Seasonal forecasts of North Atlantic tropical cyclone activity in the North American Multi-Model Ensemble

Julia V. Manganello; Benjamin A. Cash; Kevin I. Hodges; James L. Kinter

The North American Multi-Model Ensemble (NMME)-Phase II models are evaluated in terms of their retrospective seasonal forecast skill of the North Atlantic (NA) tropical cyclone (TC) activity, with a focus on TC frequency. The TC identification and tracking algorithm is modified to accommodate model data at daily resolution. It is also applied to three reanalysis products at the spatial and temporal resolution of the NMME-Phase II ensemble to allow for a more objective estimation of forecast skill. When used with the reanalysis data, the TC tracking generates realistic climatological distributions of the NA TC formation and tracks, and represents the interannual variability of the NA TC frequency quite well. Forecasts with the multi-model ensemble (MME) when initialized in April and later tend to have skill in predicting the NA seasonal TC counts (and TC days). At longer leads, the skill is low or marginal, although one of the models produces skillful forecasts when initialized as early as January and February. At short lead times, while demonstrating the highest skill levels the MME also tends to significantly outperform the individual models and attain skill comparable to the reanalysis. In addition, the short-lead MME forecasts are quite reliable. At regional scales, the skill is rather limited and mostly present in the western tropical NA and the Caribbean Sea. It is found that the overall MME forecast skill is limited by poor representation of the low-frequency variability in the predicted TC frequency, and large fluctuations in skill on decadal time scales. Addressing these deficiencies is thought to increase the value of the NMME ensemble in providing operational guidance.


Climate Dynamics | 2012

Simulating the diurnal cycle of rainfall in global climate models: resolution versus parameterization

Paul A. Dirmeyer; Benjamin A. Cash; James L. Kinter; Thomas Jung; Lawrence Marx; Masaki Satoh; Cristiana Stan; Hirofumi Tomita; Peter Towers; Nils P. Wedi; Deepthi Achuthavarier; Jennifer M. Adams; Eric L. Altshuler; Bohua Huang; Emilia K. Jin; Julia V. Manganello

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Peter Towers

European Centre for Medium-Range Weather Forecasts

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Bohua Huang

George Mason University

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Nils P. Wedi

European Centre for Medium-Range Weather Forecasts

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