Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Charles Seman is active.

Publication


Featured researches published by Charles Seman.


Journal of Climate | 2011

The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3

Leo J. Donner; Bruce Wyman; Richard S. Hemler; Larry W. Horowitz; Yi Ming; Ming Zhao; Jean-Christophe Golaz; Paul Ginoux; Shian-Jiann Lin; M. Daniel Schwarzkopf; John Austin; Ghassan Alaka; William F. Cooke; Thomas L. Delworth; Stuart M. Freidenreich; Charles T. Gordon; Stephen M. Griffies; Isaac M. Held; William J. Hurlin; Stephen A. Klein; Thomas R. Knutson; Amy R. Langenhorst; Hyun-Chul Lee; Yanluan Lin; Brian I. Magi; Sergey Malyshev; P. C. D. Milly; Vaishali Naik; Mary Jo Nath; Robert Pincus

AbstractThe Geophysical Fluid Dynamics Laboratory (GFDL) has developed a coupled general circulation model (CM3) for the atmosphere, oceans, land, and sea ice. The goal of CM3 is to address emerging issues in climate change, including aerosol–cloud interactions, chemistry–climate interactions, and coupling between the troposphere and stratosphere. The model is also designed to serve as the physical system component of earth system models and models for decadal prediction in the near-term future—for example, through improved simulations in tropical land precipitation relative to earlier-generation GFDL models. This paper describes the dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component (AM3) of this model. Relative to GFDL AM2, AM3 includes new treatments of deep and shallow cumulus convection, cloud droplet activation by aerosols, subgrid variability of stratiform vertical velocities for droplet activation, and atmospheric chemistry driven by emiss...


Quarterly Journal of the Royal Meteorological Society | 2002

An intercomparison of cloud-resolving models with the atmospheric radiation measurement summer 1997 intensive observation period data

Kuan Man Xu; Richard T. Cederwall; Leo J. Donner; Wojciech W. Grabowski; Françoise Guichard; Daniel E. Johnson; Marat Khairoutdinov; Steven K. Krueger; Jon Petch; David A. Randall; Charles Seman; Wei-Kuo Tao; Donghai Wang; Shao Cheng Xie; J. John Yio; Minghua Zhang

SUMMARY This paper reports an intercomparison study of midlatitude continental cumulus convection simulated by eight two-dimensional and twothree-dimensional cloud-resolving models (CRMs), driven by observed large-scale advective temperature and moisture tendencies, surface turbulent euxes, and radiative-heating proe les during three sub-periods of the summer 1997 Intensive Observation Period of the US Department of Energy’s Atmospheric Radiation Measurement (ARM) program. Each sub-period includes two or three precipitation events of various intensities over a span of 4 or 5 days. The results can be summarized as follows. CRMs can reasonably simulate midlatitude continental summer convection observed at the ARM Cloud and Radiation Testbed site in terms of the intensity of convective activity, and the temperature and specie c-humidity evolution. Delayed occurrences of the initial precipitation events are a common feature for all three sub-cases among the models. Cloud mass e uxes, condensate mixing ratios and hydrometeor fractions produced by all CRMs are similar. Some of the simulated cloud properties such as cloud liquid-water path and hydrometeor fraction are rather similar to available observations. All CRMs produce large downdraught mass euxes with magnitudes similar to those of updraughts, in contrast to CRM results for tropical convection. Some inter-model differences in cloud properties are likely to be related to those in the parametrizations of microphysical processes. There is generally a good agreement between the CRMs and observations with CRMs being signie cantly better than single-column models (SCMs), suggesting that current results are suitable for use in improving parametrizations in SCMs. However, improvements can still be made in the CRM simulations; these include the proper initialization of the CRMs and a more proper method of diagnosing cloud boundaries in model outputs for comparison with satellite and radar cloud observations.


Journal of Climate | 2001

A Cumulus Parameterization Including Mass Fluxes, Convective Vertical Velocities, and Mesoscale Effects: Thermodynamic and Hydrological Aspects in a General Circulation Model

Leo J. Donner; Charles Seman; Richard S. Hemler; Songmiao Fan

Abstract A cumulus parameterization based on mass fluxes, convective-scale vertical velocities, and mesoscale effects has been incorporated in an atmospheric general circulation model (GCM). Most contemporary cumulus parameterizations are based on convective mass fluxes. This parameterization augments mass fluxes with convective-scale vertical velocities as a means of providing a method for incorporating cumulus microphysics using vertical velocities at physically appropriate (subgrid) scales. Convective-scale microphysics provides a key source of material for mesoscale circulations associated with deep convection, along with mesoscale in situ microphysical processes. The latter depend on simple, parameterized mesoscale dynamics. Consistent treatment of convection, microphysics, and radiation is crucial for modeling global-scale interactions involving clouds and radiation. Thermodynamic and hydrological aspects of this parameterization in integrations of the Geophysical Fluid Dynamics Laboratory SKYHI GCM...


Journal of the Atmospheric Sciences | 1999

Three-Dimensional Cloud-System Modeling of GATE Convection

Leo J. Donner; Charles Seman; Richard S. Hemler

Deep convection and its associated mesoscale circulations are modeled using a three-dimensional elastic model with bulk microphysics and interactive radiation for a composite easterly wave from the Global Atmospheric Research Program Atlantic Tropical Experiment. The energy and moisture budgets, large-scale heat sources and moisture sinks, microphysics, and radiation are examined. The modeled cloud system undergoes a life cycle dominated by deep convection in its early stages, followed by an upper-tropospheric mesoscale circulation. The large-scale heat sources and moisture sinks associated with the convective system agree broadly with diagnoses from field observations. The modeled upper-tropospheric moisture exceeds observed values. Strong radiative cooling at the top of the mesoscale circulation can produce overturning there. Qualitative features of observed changes in large-scale convective available potential energy and convective inhibition are found in the model integrations, although quantitative magnitudes can differ, especially for convective inhibition. Radiation exerts a strong influence on the microphysical properties of the cloud system. The three-dimensional integrations exhibit considerably less sporadic temporal behavior than corresponding two-dimensional integrations. While the third dimension is less important over timescales longer than the duration of a phase of an easterly wave in the lower and middle troposphere, it enables stronger interactions between radiation and dynamics in the upper-tropospheric mesoscale circulation over a substantial fraction of the life cycle of the convective system.


Journal of the Atmospheric Sciences | 2015

Evaluating the diurnal cycle of upper-tropospheric ice clouds in climate models using SMILES observations

Jonathan H. Jiang; Hui Su; Chengxing Zhai; T. Janice Shen; Tongwen Wu; Jie Zhang; Jason N. S. Cole; Knut von Salzen; Leo J. Donner; Charles Seman; Anthony D. Del Genio; Larissa Nazarenko; Jean-Louis Dufresne; Masahiro Watanabe; Cyril J. Morcrette; Tsuyoshi Koshiro; Hideaki Kawai; Andrew Gettelman; Luis Millán; William G. Read; Nathaniel J. Livesey; Yasko Kasai; Masato Shiotani

AbstractUpper-tropospheric ice cloud measurements from the Superconducting Submillimeter Limb Emission Sounder (SMILES) on the International Space Station (ISS) are used to study the diurnal cycle of upper-tropospheric ice cloud in the tropics and midlatitudes (40°S–40°N) and to quantitatively evaluate ice cloud diurnal variability simulated by 10 climate models. Over land, the SMILES-observed diurnal cycle has a maximum around 1800 local solar time (LST), while the model-simulated diurnal cycles have phases differing from the observed cycle by −4 to 12 h. Over ocean, the observations show much smaller diurnal cycle amplitudes than over land with a peak at 1200 LST, while the modeled diurnal cycle phases are widely distributed throughout the 24-h period. Most models show smaller diurnal cycle amplitudes over ocean than over land, which is in agreement with the observations. However, there is a large spread of modeled diurnal cycle amplitudes ranging from 20% to more than 300% of the observed over both lan...


Journal of the Atmospheric Sciences | 1994

A Numerical Study of Nonlinear Nonhydrostatic Conditional Symmetric Instability in a Convectively Unstable Atmosphere

Charles Seman

Abstract Nonlinear nonhydrostatic conditional symmetric instability (CSI) is studied as an initial value problem using a two-dimensional (y, z)nonlinear, nonhydrostatic numerical mesoscale/cloud model. The initial atmosphere for the rotating, baroclinic (BCF) simulation contains large convective available potential energy (CAPE). Analytical theory, various model output diagnostics, and a companion nonrotating barotropic (BTNF) simulation are used to interpret the results from the BCF simulation. A single warm moist thermal initiates convection for the two 8-h simulations. The BCF simulation exhibited a very intricate life cycle. Following the initial convection, a series of discrete convective cells developed within a growing mesoscale circulation. Between hours 4 and 8, the circulation grew upscale into a structure resembling that of a squall-line mesoscale convective system (MCS). The mesoscale updrafts were nearly vertical and the circulation was strongest on the baroclinically cool side of the initial...


Journal of Geophysical Research | 2007

Transport of radon-222 and methyl iodide by deep convection in the GFDL Global Atmospheric Model AM2

Leo J. Donner; Larry W. Horowitz; Arlene M. Fiore; Charles Seman; D. R. Blake; Nicola J. Blake

Author(s): Donner, LJ; Horowitz, LW; Fiore, AM; Seman, CJ; Blake, DR; Blake, NJ | Abstract: Transport of radon-222 and methyl iodide by deep convection is analyzed in the Geophysical Fluid Dynamics Laboratory (GFDL) Atmospheric Model 2 (AM2) using two parameterizations for deep convection. One of these parameterizations represents deep convection as an ensemble of entraining plumes; the other represents deep convection as an ensemble of entraining plumes with associated mesoscale updrafts and downdrafts. Although precipitation patterns are generally similar in AM2 with both parameterizations, the deep convective mass fluxes are more than three times larger in the middle- to upper troposphere for the parameterization consisting only of entraining plumes, but do not extend across the tropopause, unlike the parameterization including mesoscale circulations. The differences in mass fluxes result mainly from a different partitioning between convective and stratiform precipitation; the parameterization including mesoscale circulations detrains considerably more water vapor in the middle troposphere and is associated with more stratiform rain. The distributions of both radon-222 and methyl iodide reflect the different mass fluxes. Relative to observations (limited by infrequent spatial and temporal sampling), AM2 tends to simulate lower concentrations of radon-222 and methyl iodide in the planetary boundary layer, producing a negative model bias through much of the troposphere, with both cumulus parameterizations. The shapes of the observed profiles suggest that the larger deep convective mass fluxes and associated transport in the parameterization lacking a mesoscale component are less realistic. Copyright 2007 by the American Geophysical Union.


Journal of Geophysical Research | 1999

Atmospheric sulfur and deep convective clouds in tropical Pacific: A model study

Constantin Andronache; Leo J. Donner; Charles Seman; V. Ramaswamy; Richard S. Hemler

A high-resolution limited area nonhydrostatic model was used to simulate sulfate-cloud interactions during the convective activity in a case study from the Tropical Ocean Global Atmosphere Coupled Ocean Atmosphere Response Experiment, December 20–25, 1992. The model includes a new detailed sulfate-cloud microphysics scheme designed to estimate the effects of sulfate on cloud microphysics and radiative properties and the effects of deep convection on the transport and redistribution of aerosol. The data for SO2 and SO4(2−) species were taken from the Pacific Exploratory Mission West B observations during February-March 1994. Results show that a change in sulfate loading from the minimum to the maximum observed value scenarios (i.e., from about 0.01 to 1 μg m−3) causes a significant decrease of the effective radius of cloud droplets (changes up to 2 μm on average) and an increase of the diagnostic number concentration of cloud droplets (typical changes about 5–20 cm−3). The change in the average net shortwave (SW) radiation flux above the clouds was estimated to be on average −1.5 W m−2, with significant spatial and temporal variations. The horizontal average of the changes in the net SW radiation fluxes above clouds has a diurnal cycle, reaching typical values approximately −3 W m−2. The changes in the average net longwave radiation flux above the clouds were negligible, but they showed significant variations, typically between −10 W m−2 and 10 W m−2 near the surface. These variations were associated mainly with the changes in the distribution of cloud water, which showed typical relative changes of cloud water path of about 10–20%. Other notable changes induced by the increase of aerosol were the variations in air temperature of the order of 1°C. The case study presented here suggests that characteristics of convective clouds in tropical areas are sensitive to atmospheric sulfate loading, particularly during enhanced sulfate episodes.


Journal of Advances in Modeling Earth Systems | 2018

The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 1. Simulation Characteristics With Prescribed SSTs

M. Zhao; Jean-Christophe Golaz; Isaac M. Held; H. Guo; V. Balaji; Rusty Benson; Jan-Huey Chen; Xi Chen; Leo J. Donner; John P. Dunne; Krista A. Dunne; J. Durachta; Song-Miao Fan; Stuart M. Freidenreich; S. T. Garner; Paul Ginoux; Lucas M. Harris; Larry W. Horowitz; John P. Krasting; Amy R. Langenhorst; Zhi Liang; P. Lin; Shian-Jiann Lin; Sergey L. Malyshev; E. Mason; P. C. D. Milly; Yi Ming; Vaishali Naik; Fabien Paulot; David Paynter

In this two-part paper, a description is provided of a version of the AM4.0/LM4.0 atmosphere/ land model that will serve as a base for a new set of climate and Earth system models (CM4 and ESM4) under development at NOAA’s Geophysical Fluid Dynamics Laboratory (GFDL). This version, with roughly 100 km horizontal resolution and 33 levels in the vertical, contains an aerosol model that generates aerosol fields from emissions and a ‘‘light’’ chemistry mechanism designed to support the aerosol model but with prescribed ozone. In Part 1, the quality of the simulation in AMIP (Atmospheric Model Intercomparison Project) mode—with prescribed sea surface temperatures (SSTs) and sea-ice distribution—is described and compared with previous GFDL models and with the CMIP5 archive of AMIP simulations. The model’s Cess sensitivity (response in the top-of-atmosphere radiative flux to uniform warming of SSTs) and effective radiative forcing are also presented. In Part 2, the model formulation is described more fully and key sensitivities to aspects of the model formulation are discussed, along with the approach to model tuning.


Geophysical Research Letters | 1998

The effects of atmospheric sulfur on the radiative properties of convective clouds: a limited area modeling study

Constantin Andronache; Leo J. Donner; V. Ramaswamy; Charles Seman; Richard S. Hemler

Abstract. Convective clouds in tropical areas can be sensitive to the atmospheric sulfate loading, particu- larly during enhanced sulfate episodes. This assertion is supported by simulations with a high resolution lim- ited area non-hydrostatic model (LAN) employing a detailed sulfate-cloud microphysics scheme, applied to estimate the effects of sulfate on convective clouds in a case study from the Tropical Ocean Global Atmo- sphere Coupled Ocean Atmosphere Response Experi- ment (TOGA COARE). Results show that a change in sulfate loading for scenarios using the minimum to the maximum observed values produces a change in the average net flux of shortwave radiation above clouds. This time-average change was estimated between -1.1 and-0.3 Wm -2 over the integration domain. Introduction In addition to the direct atmospheric radiative forc- ing [Charlson et al., 1992], sulfate aerosols interact with clouds, primarly by providing cloud condensation nuclei (CCN). An increase of sulfate in the atmosphere pro-

Collaboration


Dive into the Charles Seman's collaboration.

Top Co-Authors

Avatar

Leo J. Donner

Geophysical Fluid Dynamics Laboratory

View shared research outputs
Top Co-Authors

Avatar

Larry W. Horowitz

National Oceanic and Atmospheric Administration

View shared research outputs
Top Co-Authors

Avatar

Richard S. Hemler

Geophysical Fluid Dynamics Laboratory

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Graeme L. Stephens

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Andrew Gettelman

National Center for Atmospheric Research

View shared research outputs
Top Co-Authors

Avatar

Anthony D. Del Genio

Goddard Institute for Space Studies

View shared research outputs
Top Co-Authors

Avatar

Chengxing Zhai

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Hui Su

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Jean-Christophe Golaz

Lawrence Livermore National Laboratory

View shared research outputs
Researchain Logo
Decentralizing Knowledge