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Featured researches published by James L. Kinter.


Bulletin of the American Meteorological Society | 2014

The North American Multimodel Ensemble: Phase-1 Seasonal-to-Interannual Prediction; Phase-2 toward Developing Intraseasonal Prediction

Ben P. Kirtman; Dughong Min; Johnna M. Infanti; James L. Kinter; Daniel A. Paolino; Qin Zhang; Huug van den Dool; Suranjana Saha; Malaquias Mendez; Emily Becker; Peitao Peng; Patrick Tripp; Jin Huang; David G. DeWitt; Michael K. Tippett; Anthony G. Barnston; Shuhua Li; Anthony Rosati; Siegfried D. Schubert; Michele M. Rienecker; Max J. Suarez; Zhao E. Li; Jelena Marshak; Young Kwon Lim; Joseph Tribbia; Kathleen Pegion; William J. Merryfield; Bertrand Denis; Eric F. Wood

The recent U.S. National Academies report, Assessment of Intraseasonal to Interannual Climate Prediction and Predictability, was unequivocal in recommending the need for the development of a North American Multimodel Ensemble (NMME) operational predictive capability. Indeed, this effort is required to meet the specific tailored regional prediction and decision support needs of a large community of climate information users. The multimodel ensemble approach has proven extremely effective at quantifying prediction uncertainty due to uncertainty in model formulation and has proven to produce better prediction quality (on average) than any single model ensemble. This multimodel approach is the basis for several international collaborative prediction research efforts and an operational European system, and there are numerous examples of how this multimodel ensemble approach yields superior forecasts compared to any single model. Based on two NOAA Climate Test bed (CTB) NMME workshops (18 February and 8 April 2...


Journal of Climate | 2012

High-Resolution Global Climate Simulations with the ECMWF Model in Project Athena: Experimental Design, Model Climate, and Seasonal Forecast Skill

Thomas Jung; Martin Miller; T. N. Palmer; Peter Towers; Nils P. Wedi; Deepthi Achuthavarier; J. D. Adams; Eric L. Altshuler; Benjamin A. Cash; James L. Kinter; Lawrence Marx; Cristiana Stan; Kevin I. Hodges

AbstractThe sensitivity to the horizontal resolution of the climate, anthropogenic climate change, and seasonal predictive skill of the ECMWF model has been studied as part of Project Athena—an international collaboration formed to test the hypothesis that substantial progress in simulating and predicting climate can be achieved if mesoscale and subsynoptic atmospheric phenomena are more realistically represented in climate models.In this study the experiments carried out with the ECMWF model (atmosphere only) are described in detail. Here, the focus is on the tropics and the Northern Hemisphere extratropics during boreal winter. The resolutions considered in Project Athena for the ECMWF model are T159 (126 km), T511 (39 km), T1279 (16 km), and T2047 (10 km). It was found that increasing horizontal resolution improves the tropical precipitation, the tropical atmospheric circulation, the frequency of occurrence of Euro-Atlantic blocking, and the representation of extratropical cyclones in large parts of th...


Journal of Climate | 2014

North American Climate in CMIP5 Experiments: Part III: Assessment of Twenty-First-Century Projections*

Eric D. Maloney; Suzana J. Camargo; Edmund K. M. Chang; Brian A. Colle; Rong Fu; Kerrie L. Geil; Qi Hu; Xianan Jiang; Nathaniel C. Johnson; Kristopher B. Karnauskas; James L. Kinter; Benjamin Kirtman; Sanjiv Kumar; Baird Langenbrunner; Kelly Lombardo; Lindsey N. Long; Annarita Mariotti; Joyce E. Meyerson; Kingtse C. Mo; J. David Neelin; Zaitao Pan; Richard Seager; Yolande L. Serra; Anji Seth; Justin Sheffield; Julienne Stroeve; Jeanne M. Thibeault; Shang-Ping Xie; Chunzai Wang; Bruce Wyman

AbstractIn part III of a three-part study on North American climate in phase 5 of the Coupled Model Intercomparison Project (CMIP5) models, the authors examine projections of twenty-first-century climate in the representative concentration pathway 8.5 (RCP8.5) emission experiments. This paper summarizes and synthesizes results from several coordinated studies by the authors. Aspects of North American climate change that are examined include changes in continental-scale temperature and the hydrologic cycle, extremes events, and storm tracks, as well as regional manifestations of these climate variables. The authors also examine changes in the eastern North Pacific and North Atlantic tropical cyclone activity and North American intraseasonal to decadal variability, including changes in teleconnections to other regions of the globe. Projected changes are generally consistent with those previously published for CMIP3, although CMIP5 model projections differ importantly from those of CMIP3 in some aspects, inc...


Journal of Climate | 2005

Discrepancy of Interdecadal Changes in the Asian Region among the NCEP–NCAR Reanalysis, Objective Analyses, and Observations

Renguang Wu; James L. Kinter; Ben P. Kirtman

Abstract This study compares decadal means and interdecadal changes of surface and sea level pressures, tropospheric heights, and winds in the National Centers for Environmental Prediction–National Center for Atmospheric Research (NCEP–NCAR) reanalysis with objective analyses and observations. It is found that over Asia the NCEP–NCAR reanalysis pressures and heights are systematically lower than objective analyses and observations before the late 1970s. The magnitude of the differences changes from one decade to another and shows obvious seasonal dependence. The nonuniform spatial distribution of pressure and height differences is consistent with the discrepancy in lower-level meridional winds along the east Asian coast. The seasonal dependence of pressure differences affects the strength of the seasonal cycle over Asia. More importantly, large changes in the discrepancies from one decade to another lead to inconsistent interdecadal changes between the reanalysis and objective analyses or observations in ...


Journal of Climate | 1994

The Simulated Indian Monsoon: A GCM Sensitivity Study

Michael J. Fennessy; James L. Kinter; Ben P. Kirtman; Lawrence Marx; Sumant Nigam; Edwin K. Schneider; J. Shukla; David M. Straus; A. Vernekar; Yongkang Xue; Jing Zhou

Abstract A series of sensitivity experiments are conducted in an attempt to understand and correct deficiencies in the simulation of the seasonal mean Indian monsoon with a global atmospheric general circulation model. The seasonal mean precipitation is less than half that observed. This poor simulation in seasonal integrations is independent of the choice of initial conditions and global sea surface temperature data used. Experiments are performed to test the sensitivity of the Indian monsoon simulation to changes in orography, vegetation, soil wetness, and cloudiness. The authors find that the deficiency of the model precipitation simulation may be attributed to the use of an enhanced orography in the integrations. Replacement of this orography with a mean orography results in a much more realistic simulation of Indian monsoon circulation and rainfall. Experiments with a linear primitive equation model on the sphere suggest that this striking improvement is due to modulations of the orographically force...


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...


Journal of Climate | 2013

Evaluation of Temperature and Precipitation Trends and Long-Term Persistence in CMIP5 Twentieth-Century Climate Simulations

Sanjiv Kumar; Venkatesh Merwade; James L. Kinter; Dev Niyogi

AbstractThe authors have analyzed twentieth-century temperature and precipitation trends and long-term persistence from 19 climate models participating in phase 5 of the Coupled Model Intercomparison Project (CMIP5). This study is focused on continental areas (60°S–60°N) during 1930–2004 to ensure higher reliability in the observations. A nonparametric trend detection method is employed, and long-term persistence is quantified using the Hurst coefficient, taken from the hydrology literature. The authors found that the multimodel ensemble–mean global land–average temperature trend (0.07°C decade−1) captures the corresponding observed trend well (0.08°C decade−1). Globally, precipitation trends are distributed (spatially) at about zero in both the models and in the observations. There are large uncertainties in the simulation of regional-/local-scale temperature and precipitation trends. The models’ relative performances are different for temperature and precipitation trends. The models capture the long-ter...


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...


Geophysical Research Letters | 2012

Ensemble ENSO hindcasts initialized from multiple ocean analyses

Jieshun Zhu; Bohua Huang; Lawrence Marx; James L. Kinter; Magdalena A. Balmaseda; Rong-Hua Zhang; Zeng-Zhen Hu

n n In this study, the impact of ocean initial conditions (OIC) on the prediction skill in the tropical Pacific Ocean is examined. Four sets of OIC are used to initialize the 12-month hindcasts of the tropical climate from 1979 to 2007, using the Climate Forecast System, version 2 (CFSv2), the current operational climate prediction model at the National Centers for Environmental Predictions (NCEP). These OICs are chosen from four ocean analyses produced by the NCEP and the European Center for Medium Range Weather Forecasts (ECMWF). For each hindcast starting from a given OIC, four ensemble members are generated with different atmosphere and land initial states. The predictive skill in the tropical Pacific Ocean is assessed based on the ensemble mean hindcasts from each individual as well as multiple oceanic analyses. To reduce the climate drift from various oceanic analyses, an anomaly initialization strategy is used for all hindcasts. The results indicate that there exists a substantial spread in the sea surface temperature (SST) prediction skill with different ocean analyses. Specifically, the ENSO prediction skill in terms of the anomaly correlation of Nino-3.4 index can differ by as much as 0.1-0.2 at lead times longer than 2 months. The ensemble mean of the predictions initialized from all four ocean analyses gives prediction skill equivalent to the best one derived from the individual ocean analysis. It is suggested that more accurate OIC can improve the ENSO prediction skill and an ensemble ocean initialization has the potential of enhancing the skill at the present stage.


Journal of Climate | 2011

The Asian Monsoon in the Superparameterized CCSM and Its Relationship to Tropical Wave Activity

Charlotte A. DeMott; Cristiana Stan; David A. Randall; James L. Kinter; Marat Khairoutdinov

AbstractThree general circulation models (GCMs) are used to analyze the impacts of air–sea coupling and superparameterized (SP) convection on the Asian summer monsoon: Community Climate System Model (CCSM) (coupled, conventional convection), SP Community Atmosphere Model (SP-CAM) (uncoupled, SP convection), and SP-CCSM (coupled, SP). In SP-CCSM, coupling improves the basic-state climate relative to SP-CAM and reduces excessive tropical variability in SP-CAM. Adding SP improves tropical variability, the simulation of easterly zonal shear over the Indian and western Pacific Oceans, and increases negative sea surface temperature (SST) biases in that region.SP-CCSM is the only model to reasonably simulate the eastward-, westward-, and northward-propagating components of the Asian monsoon. CCSM and SP-CCSM mimic the observed phasing of northward-propagating intraseasonal oscillation (NPISO), SST, precipitation, and surface stress anomalies, while SP-CAM is limited in this regard. SP-CCSM produces a variety of ...

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Bohua Huang

George Mason University

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Zeng-Zhen Hu

National Oceanic and Atmospheric Administration

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Jieshun Zhu

National Oceanic and Atmospheric Administration

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