Current Projects

Table of all applications

EMP TYPE

AirQuality
Boulder-Climate
BoulderGrants
DTC
DTC-Grants
DTCGrants
GlobalReanalysis
GSD
HMTB
JCSDA
NextGenGlobal
ObservingRD
RapidRefresh
RegionalReanalysis

AirQuality

Boulder-Climate

BoulderGrants

DTC

DTC-Grants

DTCGrants

GlobalReanalysis

GSD

HMTB

JCSDA

NextGenGlobal

ObservingRD

RapidRefresh

RegionalReanalysis

 

 

Advanced Local Analysis and Prediction Systems

(DLAPS)

  
Principal Investigator: Dan Birkenheuer E-mail: daniel.l.birkenheuer@noaa.gov
Organization: ESRL - Global Systems Division Project Type: BoulderGrants
Project Description: It has been found that combining ensembles of numerical weather predictions with observations may produce more realistic analyses than previous methodologies that relied upon statistical interpolation and simple physical balance models. This project will explore methods of generating ensemble forecasts and statistically blending these forecasts with observations, using spatial and, possibly, temporal covariances from the forecasts. Some statistical techniques to be explored are 3D-VAR (in particular the GSI software) and ensemble kalman filters. The analysis will focus on gridded fields having grid increment of 10km or less. The methodologies will eventually form the core of the Local Analysis software and, therefore, the computational efficiency of the proposed statistical analysis will be analyzed.
Authorized Users: Dan Birkenheuer Chris Anderson John McGinley
  Steve Albers John Snook Yuanfu Xie
  oplapb Kim Ok-Yeon
     
Top Edit
 

Earth Magnetic Model

(EMM)

  
Principal Investigator: Stefan Maus E-mail: stefan.maus@noaa.gov
Organization: National Geophysical Data Center Project Type: BoulderGrants
Project Description: Develop a geomagnetic field model to spherical harmonic degree and order 720 from a joint inversion of satellite, marine and aeromagnetic measurements
Authorized Users: Stefan Maus
 
 
     
Top Edit
 

Regional Climate Simulation For GAPP 2005-2008

(GAPP2005)

  
Principal Investigator: Georg Grell E-mail: Georg.A.Grell@noaa.gov
Organization: ESRL - Global Systems Division Project Type: GSD
Project Description: The proposed research focuses on the sensitivity and realism of convection and its interaction with soil moisture. Using subgrid scale parameterizations as well as cloud resolving simulations. Some of our earlier work (Grell et al. 2000) indicates that errors in precipitation patterns in climate model simulations can sometimes be attributed to the mutual interaction between parameterized convection and land surface features such as topography, land use type, and soil moisture. When the initiation and forcing mechanism for convection
Authorized Users: Mariusz Pagowski Georg A Grell
 
 
     
Top Edit
 

Simulating 21st Century Regional Climate Change

(RCC21)

  
Principal Investigator: Martin Hoerling E-mail: martin.hoerling@noaa.gov
Organization: ESRL - Physical Sciences Division Project Type: Boulder-Climate
Project Description: Through our previous FSL developmental project (Seasonal Climate Diagnostics, Gary Bates, PI), the new generation of NOAA and NCAR climate models are now running on JET. Our new project now seeks to perform climate sensitivity studies with these models to elucidate: i) Regional Response to sea surface warming scenarios ii) Model dependency of climate sensitivity The proposed project will involve running control, and forced experiments using the two US climate models supporting the US contribution to the Fourth IPCC Assesment of Climate Change. It will be coordinated with another FSL supported project that involves the NCEP climate model (Xiao-Wei Quan, PI). for both GCMs, we request resource to perform 100 yr control runs, and an additional 200 yr set of runs to elucidate sensitivity to specified tropical SST forcing.
Authorized Users: Gary Bates Shuanglin Li Martin Hoerling
  Judith Perlwitz Tao Zhang
 
     
Top Edit
 

Modeling and Assimilation Portability Project

(MAPP)

  
Principal Investigator: Christopher Harrop E-mail: christopher.w.harrop@noaa.gov
Organization: ESRL - Global Systems Division Project Type: BoulderGrants
Project Description: The mission of MAPP is two pronged: The first objective is to achieve portable performance of a few of NOAA's most important weather and climate models and data assimilation packages across NOAA's diverse HPCS systems. The second objective is to design and build a web-based portal that simplifies the configuration, running, and monitoring of those models on NOAA's varied HPCS systems.
Authorized Users: Chistopher Harrop Mark Govett Jacques Middlecoff
  Leslie Hart Dan Schaffer Jeff Smith
 
     
Top Edit
 

WRF-Chem development

(WRF-Chm2)

  
Principal Investigator: Yang Zhang E-mail: yang_zhang@ncsu.edu
Organization: North Carolina State University Project Type: AirQuality
Project Description: This is part of the WRF-Chem development project.The The state-the-art gas-phase chemical mechanisms, aerosol and cloud modules will be incorporated into WRF-Chem to provide alternatives to existing mechanisms and modules. The objective is to develop an integrated air quality modeling system for both research-grade and operational applications.
Authorized Users: Yang Zhang Xiaoming Hu
 
 
     
Top Edit
 

UAS OSSE

(UAS-OSSE)

  
Principal Investigator: Nikki Prive E-mail: nikki.prive@noaa.gov
Organization: ESRL - Global Systems Division Project Type: BoulderGrants
Project Description: An Observing System Simulation Experiment (OSSE) is to be developed and performed for the Unmanned Aircraft Systems (UAS) Program. The OSSE will involve diagnosis of the Nature Run, generation of synthetic observations from the Nature Run, assimilation of the synthetic observations into the GSI, and running the GFS model for comparative experiments.
Authorized Users: Nikki Prive Yuanfu Xie
 
 
     
Top Edit
 

Multi-Disciplinary University Research Initiative

(MURI)

  
Principal Investigator: Tomoko Matsuo E-mail: tomoko.matsuo@noaa.gov
Organization: Space Weather Prediction Center Project Type: BoulderGrants
Project Description: The Multi-Disciplinary University Research Initiative (MURI) “Atmospheric Neutral Density Prediction", J. M. Forbes, principal investigator, T. Fuller-Rowell, co-principal investigator, University of Colorado, targets understanding drag forces on satellites.
Authorized Users: Tomoko Matsuo Mihail Codrescu
 
 
     
Top Edit
 

Creating MODIS Data time series

(MODIS250)

  
Principal Investigator: Varis Ransibrahmanakul E-mail: varis.ransi@noaa.gov
Organization: National Ocean Service Project Type: BoulderGrants
Project Description: MODIS (the MODerate Resolution Imaging Spectroradiometer) is a land and ocean color sensor. The spatial resolution of the ocean color bands is 1100 meter, whereas that of the land bands is 250 meter. MODIS Band 1 (land band) can be used to estimate turbidity. Preliminary results have shown that turbidity may influence fish density and coral reef diversity in Puerto Rico. We want to create a time series of MODIS-derived turbidity data to characterize typical turbidity conditions south of Puerto Rico.
Authorized Users: Varis Ransi Aurelie C. Shapiro Robert A. Warner
 
 
     
Top Edit
 

CSD WRF-Chem model

(CSDCHEM)

  
Principal Investigator: Si-Wan Kim E-mail: siwan.kim@noaa.gov
Organization: ESRL - Chemical Sciences Division Project Type: BoulderGrants
Project Description: The goal of this project is to investigate the US air quality problems with the WRF-Chem model. Several physical and chemical aspects of the WRF-Chem model will be tested, diagnosed, and evaluated in comparison with intensive field campaigns, surface monitors, and satellite measurements. It includes the validation of nitrogen oxides emission, the assessment of ozone changes in response to power plant and automobile emission changes, the evaluation of planetary boundary layer representation, and the testing the numerical treatment of the aerosol and radiative processes within the WRF-Chem model.
Authorized Users: Stuart A. McKeen Eirh-Yu Hsie Serena Chung
 
 
     
Top Edit
 

Operational Model Evaluation

(OME)

  
Principal Investigator: Jian-Wen Bao E-mail: Jian-Wen.Bao@noaa.gov
Organization: ESRL - Physical Sciences Division Project Type: BoulderGrants
Project Description: To evaluate and improve physics parameterizations in the operational WRF-EM and WRF-NMM
Authorized Users: Jian-Wen Bao Sara A. Michelson
 
 
     
Top Edit
 

Great Lakes Regional Coupled Modeling

(GLRCM)

  
Principal Investigator: Brent Lofgren E-mail: Brent.Lofgren@noaa.gov
Organization: Great Lakes Environmental Research Laboratory Project Type: RegionalReanalysis
Project Description: This project is to apply long-term climate simulations of the Laurentian Great Lakes basin in the parallel computing environment, using the Coupled Hydrosphere-Atmosphere Research Model (CHARM), which is based on RAMS. Under a developmental phase of this project, CHARM was successfully run on iJet. Application runs of CHARM, will involve simulations with elevated concentrations of greenhouse gases and scenarios of land use change in the Great Lakes basin.
Authorized Users: Brent Lofgren Jianjun Ge
 
 
     
Top Edit
 

THORPEX Data Assimilation using NCEP & GFDL Models

(ENSDA)

  
Principal Investigator: Jeff Whitaker E-mail: jeffrey.s.whitaker@noaa.gov
Organization: ESRL - Physical Sciences Division Project Type: RegionalReanalysis
Project Description: NOAA has funded an intercomparison of different ensemble data assimilation techniques under the THORPEX program. For this intercomparison, the observations assimilated in the NCEP GFS system will be assimilated into three different ensemble data assimilation systems developed at CDC, NCAR and the University of Maryland. Forecasts run from these analyses will be compared with each other, and with the operational NCEP forecasts. The CDC algorithm (the Ensemble Square Root Filter, described in the May 2004 issue of Monthly Weather Review) has already been developed on Jet as part of another project (REANL). The purpose of this project will be to perform a 100 member ensemble data assimilation run using observations for January and February 2004. We will use both the latest version of the NCEP GFS model and the latest version of the GFDL atmospheric model, run at 2 degree resolution. Both the forecast models and the data assimilation code are parallel codes which use MPI.
Authorized Users: Jeff Whitaker (whitaker) Xue Wei (wei)
 
 
     
Top Edit
 

Hybrid ensemble-3DVAR data assimilation on WRF

(WRFHYB)

  
Principal Investigator: Xuguang Wang E-mail: xuguang.wang@noaa.gov
Organization: ESRL - Physical Sciences Division Project Type: RapidRefresh
Project Description: The goal of this project is to test a new data assimilation scheme, a hybrid ensemble-3DVAR scheme, for WRF. In the current WRF 3DVAR analysis scheme, the background error covariance is assumed to be stationary and nearly homogeneous and isotropic, while in fact the error covariances may vary substantially day by day. In the hybrid ensemble-3DVAR scheme, the flow-dependent error covariance estimated by the ensemble are incorporated into the existing WRF 3DVAR framework. The ensemble is generated by the ensemble transform Kalman filter (ETKF) method, which has been demonstrated by previous studies to provide inexpensive yet skillful ensembles. Comparing with the pure ensemble based data assimilation schemes such as the ensemble Kalman filter, the hybrid ensemble-3DVAR is less expensive and may improve the analysis as much as the pure ensemble data assimilation schemes. The hybrid ensemble-3DVAR analysis scheme thus provides a convenient pathway to utilize ensemble information into the existing WRF 3DVAR framework. In this project, we will run one month (Jan.) of data assimilation-ensemble forecast cycles for WRF using the hybrid ETKF-3DVAR scheme, and compare the results with those of the WRF 3DVAR and the WRF ensemble Kalman filter.
Authorized Users: Xuguang Wang Tom Hamill
 
 
     
Top Edit
 

Hydrometeorology Test Bed

(HMTB)

  
Principal Investigator: Paul Schultz E-mail: paul.j.schultz@noaa.gov
Organization: ESRL - Global Systems Division Project Type: HMTB
Project Description: The hydrometeorology test bed creates an intersection of operational and scientific goals related to precipitation forecasts and flash flood and water resource decisions. The initial focus will be on the American River Basin in central California. The primary focus of our work will be design and evaluation of probabilistic quantitative precipitation forecasts. These forecasts will be used by weather forecasters to determine whether to issue flash flood warnings and by water management officials to determine whether water should be released from reservoirs. This is a real-time experiment, and these decision makers will be expecting this information to arrive in a timely manner. Our probabilistic forecasts will be generated by using multiple mesoscale weather forecast models (MM5, WRF, RAMS) that will be driven by boundary conditions derived from multiple source (ETA, RUC). Our evaluation will focus on quantifying the relative contributions to forecast uncertainty from model diversity and uncertain boundary conditions and the value added by high-resolution forecasts. In the second year of the project, there will be potential to interact with microphysics experts to improve model formulation and with hydrological modelers to incorporate our probabilistic precipitaition forecasts into their decision-aid tools.
Authorized Users: Paul Schultz, schultz John McGinley, mcginley Chris Anderson, canderso
  John Snook, snook Steve Albers, albers Isidora Jankov, jankov
  Huiling Yuan, huiling
     
Top Edit
 

Coastal Modeling

(MMAP-DRB)

  
Principal Investigator: Edward Myers E-mail: Edward.Myers@noaa.gov
Organization: National Ocean Service Project Type: BoulderGrants
Project Description: The Coast Survey Development Laboratory (CSDL) of NOS will be evaluating 3D hydrodynamic models for use in operational coastal and estuarine applications. Current model applications are often limited by the processing speed of single or dual processor computing platforms. Therefore, CSDL would like to evaluate the application of models in the parallel computing environment. All the codes that will be examined are available in MPI versions. The codes will be tested and compared with data in a testbed environment being set up in the Delaware Bay. Similar testbeds will be set up in a series of estuaries covering a variety of dominant physical processes. The results from these testbed model applications will help guide NOS in its selection of models to be used in the operational environment.
Authorized Users: Edward Myers Eugene Wei Richard Schmalz
  Richard Patchen Lyon Lanerolle Aijun Zhang
  Jiangtao Xu Zhizhang Yang
     
Top Edit
 

Remote Sensing in Vietnam Waters

(NOSINT)

  
Principal Investigator: Varis Ransibrahmanakul E-mail: varis.ransi@noaa.gov
Organization: National Ocean Service Project Type: BoulderGrants
Project Description: National Ocean Service is currently trying to be the Global Leader in Integrated Management of the Ocean; we also have a Science and Technology Agreement with Vietnam. The project aims to produce images (SeaWiFS and MODIS) that may enhance the understanding of upwelling in Vietnam coast and also the possibility of providing high resolution data MODIS data for the Gulf of Tonkin.
Authorized Users: Varis Ransibramanakul Alec Richarson
 
 
     
Top Edit
 

OD data assimilation

(ODVARS)

  
Principal Investigator: Yuanfu Xie E-mail: Yuanfu.Xie@noaa.gov
Organization: ESRL - Global Systems Division Project Type: GSD
Project Description: At GSD director office, we are developing a global model data assimilation system. At the beginning, we are installing and testing NCEP GSI 3DVAR system for the global model developing at the director's office. This 3DVAR system requires at least 152 processors for each run.
Authorized Users: macdonald xiey
 
 
     
Top Edit
 

Ensemble Forecasts with Stochastic Radiation

(MCICA)

  
Principal Investigator: Tom Hamill E-mail: Tom.Hamill@noaa.gov
Organization: ESRL - Physical Sciences Division Project Type: BoulderGrants
Project Description: As part of an ongoing NSF project (NSF-ATM 0130154) we seek to determine whether the introduction of a new, stochastic cloud- radiation parameterization will increase the spread of ensemble forecasts, especially near the surface. When presented with a column profile of water vapor, prior forecast models typically set a deterministic cloud profile. The amount, thickness, and vertical distribution of cloud controlled the incoming solar radiation (insolation) reaching the surface, which controlled the heating of the surface and the possible development of convective clouds. Recently, "McICA," a Monte-Carlo Integrated Cloud Amount method, has been implemented in several NWP models, including the global GFDL model. It is our intention to test whether or not the McICA implementation realistically changes the spread of near-surface ensemble weather forecasts in the GFDL model. We will run forecasts forward from an ensemble ofinitial conditions using both old and new versions of the GFDL model, that is, with and without McICA. We will measure the spread and the probabilistic forecast skill in both model versions, quantifying whether McICA has a beneficial impact on spread and skill.
Authorized Users: Tom Hamill Gary Bates
 
 
     
Top Edit
 

Ocean modeling in the southeast Pacific

(STRATUS)

  
Principal Investigator: Toshiaki Shinoda E-mail: toshiaki.shinoda@noaa.gov
Organization: ESRL - Physical Sciences Division Project Type: BoulderGrants
Project Description: he goal of this project is to improve our understanding of upper ocean processes that control sea surface temperature variability in the stratocumulus (stratus) cloud deck region in the southeast Pacific. Upper ocean heat budget in this region will be calculated using ocean general circulation model (OGCM) experiments. The project includes model integrations with the fine horizontal resolution since recent observational work suggests that mesoscale/submesoscale eddies play an important role in controlling upper ocean processes and SSTs in this region. A variety of model configurations and experiments are designed in order to understand the role of atmospheric subseasonal variabillity and penetrative solar radiation in seasonal to interannual variations of upper heat balance
Authorized Users: Toshiaki Shinoda
 
 
     
Top Edit
 

Developmental Testbed Center

(DTC)

  
Principal Investigator: Louisa Nance E-mail: nance@ucar.edu
Organization: DTC Project Type: DTC
Project Description: The goal of the DTC is to facilitate the transition of new NWP and data assimilation research capabilities into an efficient and effective weather forecasting process. The initial focus of DTC efforts will be extensive testing of the Weather Research and Forecasting (WRF) Model. The performance of various configurations of WRF will be evaluated through case studies, retrospective periods, and fully-cycled, real-time forecasts. This testing will be carried out by the staff of the DTC, as well as visitors from the research and operational communities. Results of the testing will be used to make recommendations to the operational forecast centers (e.g., NCEP, AFWA) on which new methods to consider for pre-implementation testing. The extensive testing required to reach our goal will require substantial computational resources. We are looking to FSL's HPCS to fulfill a significant portion of this need. We are hoping this request for a Developmental Project will lead to an ongoing DTC allocation on FSL's HPCS for future testing activities that will be underway this summer.
Authorized Users: Louisa Nance William (Bill) Gallus Isidora Jankov
  David Dempsey Ying Lin Ligia Bernardet
  Meral Demirtas Eric Aligo
     
Top Edit
 

Predict Seasonal to Decadal Stormtrack Anomalies

(STRMTRCK)

  
Principal Investigator: Gilbert Compo E-mail: gilbert.p.compo@noaa.gov
Organization: ESRL - Physical Sciences Division Project Type: Boulder-Climate
Project Description: This project is funded by the CLIVAR-Pacific Program of NOAA/OGP. The goal of the project is to go beyond investigations of the predictability of the winter-mean extratropical flow towards that of the synoptic variability ("stormtracks"). We will use very large ensemble (> 200 members) integrations of the operational NCEP GFS model with specified boundary conditions corresponding to seasonal and decadally-averaged conditions to determine the SST-forced signal of stormtrack variations. Very large ensembles are needed to accurately estimate the predictability of the stormtrack and associated precipitation anomalies. A series of integrations at differing horizontal and vertical resolutions will help to determine the sensitivity of the results to these model details.
Authorized Users: Gilbert P. Compo Prashant D. Sardeshmukh
 
 
     
Top Edit
 

2000 New England Air Quality Study

(NEAQS)

  
Principal Investigator: Serena Chung E-mail: serena_chung@wsu.edu
Organization: ESRL - Chemical Sciences Division Project Type: AirQuality
Project Description: Numerical simulations of pollution and its transport in the New England area during the NEAQS-2004 field campaign.
Authorized Users: Stu McKeen Eirh-Yu Hsie Si-Wan Kim
 
 
     
Top Edit
 

Global Model

(FIM)

  
Principal Investigator: Stan Benjamin E-mail: Stan.Benjamin@noaa.gov
Organization: ESRL - Global Systems Division Project Type: NextGenGlobal
Project Description: Development of the Flow-Following Finite Volume Icosahedral Model
Authorized Users: Jin Lee Ning Wang Jacques Middlecoff
  Daniel Schaffer Sandy MacDonald John Brown
  Rainer Bleck Jian-Wen Bao
     
Top Edit
 

Regional Climate Model Development

(RCMD)

  
Principal Investigator: Chris Anderson E-mail: christopher.j.anderson@noaa.gov
Organization: ESRL - Global Systems Division Project Type: Boulder-Climate
Project Description: This project will explore the predictive capability of 6-month climate forecasts generated by nesting a regional climate model within the NOAA/CFS (Climate Forecast System). It will also be used to participate in the activities of the NOAA Climate Attribution program in which GSD and PSD have joint research efforts.
Authorized Users: canderso jankov lu
 
 
     
Top Edit
 

Thermocline Circulation and SST variability ...

(STC)

  
Principal Investigator: Wei Cheng E-mail: wcheng@ocean.washington.edu
Organization: Pacific Marine Environmental Laboratory Project Type: BoulderGrants
Project Description: We are funded by NOAA/Climate Program Office to investigate upper ocean stratification and its relation to tropical SST, which has great potential to impact the global climate by perturbing atmospheric circulation. We will focus on the oceanic processes in mid-high latitude, in particular subduction and water mass formation, and the circulation by which these water masses are transported to the tropics to influence the tropical SST on interannual-multidecadal time scales. This is a model-data comparison project. A series of forced ocean model experiments, with NCEP reanalysis, idealized forcings and different model configurations, are designed to investigate these processes under global warming condition and natural variability, and to help better understand and interpret the climate signals in observational data.
Authorized Users: Wei Cheng (PMEL/NOAA) Dongxiao Zhang(PMEL/NOAA) Rainer Bleck(ESRL/NOAA)
 
 
     
Top Edit
 

Synoptic Wave Interpolation in Forecasting Tsunami

(SWIFT)

  
Principal Investigator: William Knight E-mail: william.knight@noaa.gov
Organization: NOAA's North America Tsunami Warning Center Project Type: BoulderGrants
Project Description: Building upon the in-house numerical tsunami model developed by Sokolowski et al. (1990), we are attempting to implement an entirely new and novel ocean mesh and tsunami propagation scheme. This model differs significantly from others in development by the virtue that every aspect of it is being optimized for use in a real-time, operational environment (i.e., the U.S. Tsunami Warning Centers). This includes an array of preprocessed source files (seismic warping of the Earth's surface) and resultant tsunami propagation files (including time of arrival and magnitude information). Hence, the need for supercomputer-level numerical computation abilities.
Authorized Users:
 
 
     
Top Edit
 

Development of WRF LES

(WRFLES)

  
Principal Investigator: Chris Anderson E-mail: christopher.j.anderson@noaa.gov
Organization: ESRL - Global Systems Division Project Type: BoulderGrants
Project Description: Development of WRF LES will be accomplished by running simulations with data collected by GMD and CSD from various field projects. The goal of the development is to improve understanding of chemical transport in the atmosphere, improve turbulence representation in WRF, and improve boundary-layer parameterization in WRF. Real-time usage will be tested on a limited basis. We expect the development of WRF LES will attract new customers, possibly from wind energy and pollution industries.
Authorized Users: canderso jankov
 
 
     
Top Edit
 

Dept. Homeland Security Urban Diserpsion Model

(DHSURBAN)

  
Principal Investigator: Chris Anderson E-mail: christopher.j.anderson@noaa.gov
Organization: ESRL - Global Systems Division Project Type: BoulderGrants
Project Description: The resource requested in this application will support the development and implementation of a toxic plume dispersion model for use in the Washington DC area. High-resolution WRF forecasts will be coupled with HYSPLIT to provide 24-hour forecasts of plume dispersion for a variety of plume source types.
Authorized Users: gopal canderso albers
  rdraxler
 
     
Top Edit
 

NOAA Interdisciplinary Sci. Environ. Tech. CSC

(ISET)

  
Principal Investigator: Fredrick Semazzi E-mail: fred_semazzi@ncsu.edu
Organization: NC State University Project Type: BoulderGrants
Project Description: The global research projects of ISET will include selected interdisciplinary problems in climate change that will lead to the development of sensor technologies for observing systems, application of Global Observing System, and scientific principles. The project in our research thrust area (Thrust Area II: Analysis of Observing System) covers: the impact of climate change on precipitation and hydrological variables including severe storms such as hurricanes, and (ii) the role of aerosols in affecting cloud properties and the resulting climate forcings. The proposed research will adopt an integrated approach that considers all phases of hurricane development and viable competing remedial options to devise strategies to minimize hurricane risk and damage. The objectives are to use remote sensing to characterize and specify significant factors affecting tropical storms to provide better-forecast models and predictions. In this work, a comprehensive study combining all stages of Atlantic hurricane development and associated climatic processes will be undertaken that encompasses hurricane stages from the embryonic stage over the Ethiopian highlands to coastal storm surge and inland flooding in the U.S. In the analysis of impact of aerosol indirect effects, multisensor aerosol observations will be combined with models to understand the effect of aerosols on clouds and the impact of cloud-aerosol interaction on weather, precipitation, and hyrological variables. Both numerical and empirical research will be conducted on the analysis of observing systems.
Authorized Users: Jared H. Bowden Neil N. Davis Matthew Norman
  Fredrick H. Semazzi J. Paul Liu Xuejin Zhang
  Michael L. Diaz Samuel Danagoulian Guoqing Tang
  Shayesteh Mahani    
Top Edit
 

Hurricane Forecast Improvement Project

(WRFHFS)

  
Principal Investigator: Sundararaman Gopalakrishnan E-mail: gopal@noaa.gov
Organization: Atlantic Oceanographic and Meteorological Laboratory Project Type: Boulder-Climate
Project Description: In the past Numerical Weather Prediction Models have shown a lot of promise for hurricane track forecasting. However, their skill in forecasting intensity is very limited. Hurricane Forecast Improvement Project (HFIP) is unified NOAA approach to guide and accelerate improvements in forecast with emphasis on rapid intensity change and reduction in false alarms (For details,seehttp://www.nrc.noaa.gov/HFIP%20Draft%20Plan.html.) The Weather Research Forecasting Model (WRF) is a general purpose, multi-institutional mesoscale modeling system. A version of the WRF model called the HWRF/WRF-NMM modeling system, developed at the National Center for Environmental Protection (NCEP) was recently adopted for hurricane forecasting (Gopalakrishnan et al, 2006). At the Hurricane Research Division (HRD/AOML/OAR), in collaboration with Global Systems division (GSD/ESRL/OAR), Boulder, CO, and the Developmental Test bed Center (DTC), Boulder, CO, we are developing and further advancing a research version of this modeling system. Our main goal here is to (i) understand and model the physical processes that control the rapid intensity changes (ii) improve vortex scale initial representation of the model. This efforts will immediately feed to NOAAs HFIP goals. The hurricane intensity change problem is a multi-scale problem, it is imperative to operate models down to 1-3 km resolution to understand and improve forecast of intensity changes. Such a study can only be done in a multi-processor computer environment. The wjet and ejet systems at the GSD offers a lot of scope for this study. Currently we have the latest version of the modeling system (NMM-WRF3.0) capable of running at down to 3-1 km resolution with multiple two way interactive nests. However, much needs to be done in improving the representation of physical processes at these scales and the model initial conditions. The team which will be focusing on model improvements will be led by S.G.Gopalakrishnan at AOML/HRD/OAR/NOAA. Jian-Wen Bao from ESRL/OAR/NOAA and Xuejin Zhang AOML/HRD/OAR/NOAA will support this activity. All the three investigators have an account in wjet and ejet systems. If need be so, a new account for Dr.Kevin Yeh who works at AOML/HRD/OAR/NOAA will be requested at a later stage.
Authorized Users: Sundararaman Gopalakrishnan Xuejin Zhang
 
 
     
Top Edit
 

Process analysis of sulfate formation for PM forec

(CMAQ-SO4)

  
Principal Investigator: Ariel Stein E-mail: ariel.stein@noaa.gov
Organization: Air Resources Laboratory Project Type: BoulderGrants
Project Description: Sulfate is the dominant inorganic constituent of ambient aerosol particles with diameters of 2.5 microns or less (i.e., PM2.5) in the eastern United States. High levels of aerosol particles pose possible health hazards and impact the environment in a variety of ways. On the other hand, aerosol sulfate may affect regional and global climates, reduce visibility, and elevate the acidity of surface waters and soils through acidic precipitation. In this project the three dimensional distribution of sulfate will be simulated using CMAQ, currently used as the developmental PM forecast simulation model, in order to produce an in-depth diagnostic of the model performance against the ICARTT airborne database. Using the sulfur-tracking version of CMAQ we will estimate the contribution of each sulfate formation path and determine the causes of the model overprediction noted during the ICARTT model intercomparison.
Authorized Users: Ariel Stein
 
 
     
Top Edit
 

Univ of Rhode Island - Hurricane Modeling

(hur-uri)

  
Principal Investigator: Ligia Bernardet E-mail: ligia.bernardet@noaa.gov
Organization: ESRL - Global Systems Division Project Type: DTC-Grants
Project Description: Univ. of Rhode Island staff will be running the GDFL modeling in participation of the High-Resolution Hurricane (HRH) Test organized by the Developmental Testbed Center (DTC).
Authorized Users: Ligia R. Bernardet Biju Thomas Christopher Harrop
 
 
     
Top Edit
 

Precursor based Probabilistic Ensemble Forcasting

(PPEF)

  
Principal Investigator: Isidora Jankov E-mail: Isidora.Jankov@noaa.gov
Organization: ESRL - Global Systems Division Project Type: BoulderGrants
Project Description: Testing of a new method for Probabilistic Ensemble Forecasting.
Authorized Users: Tomislava Vukicevic Brad Beechler
 
 
     
Top Edit
 

ESRL/PSD Arctic Climate Modeling

(EPAW)

  
Principal Investigator: Amy Solomon E-mail: amy.solomon@noaa.gov
Organization: ESRL - Physical Sciences Division Project Type: BoulderGrants
Project Description: In this research we are developing an Arctic climate model adequate to address SEARCH science questions and to be used for other ESRL Arctic activities. We will be running the NCAR WRF model with the Morrison and Pinto double-moment cloud physics. The model will first be set-up to model the climate in the region of Barrow, Alaska. ARM Mixed-Phase Arctic Cloud Experiment data will be used to both improve and validate the climate model. We will initially focus on the parameterization of the multi-phase polar stratus. We will address current model deficiencies, such as, maintaining liquid water in clouds at low temperatures, parameterizing ice nuclei concentrations and their role in glaciating Arctic clouds, proper representation of aerosol direct and indirect radiation effects. Since the surface fluxes and clouds are coupled we will ultimately need to address the representation of the Arctic land surface as well.
Authorized Users: Amy Solomon
 
 
     
Top Edit
 

Non-hydrostatic Icosahedral Model, NIM project

(NIM)

  
Principal Investigator: Jin Lee E-mail: jin.lee@noaa.gov
Organization: ESRL - Global Systems Division Project Type: NextGenGlobal
Project Description: To develop a non-hydrostatic icosahedral global model suitable for super high resolution weather and climate simulations.
Authorized Users: Jin Lee Jacques Middlecoff Ning Wang
  Jian-Wen Bao
 
     
Top Edit
 

accounting for model error in ensemble DA

(MODERR)

  
Principal Investigator: xuguang wang E-mail: xuguang.wang@noaa.gov
Organization: ESRL - Physical Sciences Division Project Type: BoulderGrants
Project Description: One of the most challenging questions in ensemble data assimilation reseach is how to correct model bias and how to represent the uncertainty associated with the stochastic model errors. The goal of this project is to test the effectiveness of using ensemble data assimilation to estimate model bias and to test different methods to account for stochastic model error in the context of ensemble data assimilation. For the latter we propose the following methods (1) spatially and temporally adaptive inflation mehod; (2) additive error method; (3) perturbing model parameters. The study will be conducted with a primitive equation model and different systematic and stochastic model errors will be prescribed. Observation system simulation experiments will be designed. In the first part, we will extend the model state variable with model bias parameters and exam if the ensemble data assimilation can identify the the bias of the model. In the second part, we will exam if applying the above three methods to represent the stochastic model error will improve the analysis.
Authorized Users: xuguang Wang
 
 
     
Top Edit
 

CISM CMIT2.0 transition to SEC

(CMIT2)

  
Principal Investigator: George Millward E-mail: george.millward@noaa.gov
Organization: NOAA Space Environment Center Project Type: BoulderGrants
Project Description: This project is to transition the CMIT2.0 global magnetosphere/ionosphere model from the CISM academic environment for use as a fully-functional Space- weather Forecast model at Space Environment Center (SEC).
Authorized Users: George Millward
 
 
     
Top Edit
 

Integrated Dynamics through Earth's Atmosphere

(IDEA)

  
Principal Investigator: Tim Fuller-Rowell E-mail: Tim.Fuller-Rowell@noaa.gov
Organization: Space Weather Prediction Center Project Type: BoulderGrants
Project Description: Development of a whole atmosphere model from the ground to the thermosphere, including interaction between the neutral and plasma domains. Project is a collaboration between NOAA's Enrironment Modeling Center and Space Environment Center, and the University of Colorado, CIRES.
Authorized Users: Rashid Akmaev Tim Fuller-Rowell Naomi Maruyama
  George Millward Houjun Wang Fei Wu
 
     
Top Edit
 

Cloud model evaluation using ground-based radar

(LongSAM)

  
Principal Investigator: Robert Pincus E-mail: Robert.Pincus@noaa.gov
Organization: ESRL - Physical Sciences Division Project Type: BoulderGrants
Project Description: This computing allocation would support a DOE-funded project that seeks to evaluate the performance of clod resolving models by using continuously-operating cloud remote sensing instruments. The cloud model is run for very long periods of time to create initial conditions from which forecasts are made. We then use probabilistic techniques to compute skill scores for the model's forecasts of cloud occurrence. The cloud resolving model simulations take the bulk of the time.
Authorized Users: Robert Pincus Patrick Hoffman Peter Henderson
 
 
     
Top Edit
 

Hurricane Initialization and forecast

(HUR-LAPS)

  
Principal Investigator: Jin-Young Kim E-mail: Jin-Young.Kim@noaa.gov
Organization: ESRL - Global Systems Division Project Type: BoulderGrants
Project Description: To investigate hurricane simulation using LAPS-WRF models
Authorized Users: Chungu Lu Isidora Jankov Huiling Yuan
  John McGinley
 
     
Top Edit
 

CSD-WRF-CHEM-AEROSOLS

(CSD-WCA)

  
Principal Investigator: Rebecca Matichuk E-mail: rebecca.matichuk@noaa.gov
Organization: ESRL - Chemical Sciences Division Project Type: BoulderGrants
Project Description: The goal of this project is to use WRF-Chem to understand how atmospheric aerosols impact air quality over the United States. Different physical and chemical aspects of the WRF-Chem model will be tested, diagnosed, and evaluated in comparison with intensive field campaigns, surface monitors, and satellite measurements. During this project, we will develop and validate the aerosol component and radiative processes within the WRF-Chem model.
Authorized Users: Rebecca Matichuk Stu McKeen Si-Wan Kim
 
 
     
Top Edit
 

Chemistry-Climate Interactions

(CHIMERA)

  
Principal Investigator: Susan Solomon E-mail: Susan.Solomon@noaa.gov
Organization: ESRL - Chemical Sciences Division Project Type: Boulder-Climate
Project Description: This project will probe key chemistry-climate relationships, including an emphasis on chemical transformations and impacts of new data characterizing both anthropogenic and natural emissions. Simulations will be implemented through the use of a variety of models, including the NCAR Community Climate System Model (CCSM), the NCAR Community Atmospheric Model (CAM), and the Model for Ozone And Related chemical Tracers (MOZART).
Authorized Users: Susan Solomon John Daniel Robert Portmann
  Claire Granier Henry LeRoy Miller, Jr. Stacy Walters
 
     
Top Edit
 

New Thermosphere Module Development

(GT-MD)

  
Principal Investigator: Mihail Codrescu E-mail: Mihail.Codrescu@noaa.gov
Organization: Space Weather Prediction Center Project Type: BoulderGrants
Project Description: Development of a new themosphere module for space weather research
Authorized Users: Tim Fuller-Rowell Mariangel Fedrizzi Naomi Maruyama
  Tomoko Matsuo Geroge Millward Mihail Codrescu
 
     
Top Edit
 

Large Scale Scientific Visualization

(LARGEVIZ)

  
Principal Investigator: REMIK ZIEMLINSKI E-mail: Remik.Ziemlinski@noaa.gov
Organization: Geophysical Fluid Dynamics Lab Project Type: BoulderGrants
Project Description: Large scale visualizations not possible interactively or within a reasonable amount of time on a single workstation must be generated in batch with large numbers of processors for timely rendering.
Authorized Users: REMIK ZIEMLINSKI
 
 
     
Top Edit
 

AOML - Hurricane Modeling

(hur-aoml)

  
Principal Investigator: Ligia Bernardet E-mail: ligia.bernardet@noaa.gov
Organization: ESRL - Global Systems Division Project Type: DTC-Grants
Project Description: AOML staff will be running the Hurricane Forecasting System (based on WRF-NMM) in participation of the High-Resolution Hurricane (HRH) Test organized by the Developmental Testbed Center (DTC).
Authorized Users: Ligia R. Bernardet Sundararaman Gopalakrishnan XuejinZhang
  Christopher Harrop
 
     
Top Edit
 

WRF Model Development Testing & Evaluation

(WRF-DTE)

  
Principal Investigator: Ligia Bernardet E-mail: Ligia.Bernardet@noaa.gov
Organization: ESRL - Global Systems Division Project Type: DTCGrants
Project Description: Several activities of the Developmental testbed Center (DTC) are performed using the wrf-dte project, including but not limited to: - Testing and evaluation of the Weather Research and Forecasting (WRF) model for support of public releases, helpdesk activity, and establishment of Reference Configurations. - Global Statistical Interpolator (GSI) testing, evaluation and community support. - Porting, testing, and evaluation of Hurricane WRF. - Computation of retrospective hurricane forecasts as part of the High-Resolution Hurricane Forecasting test, a component of the NOAA Hurricane Forecast Improvement Project.
Authorized Users: Ligia R. Bernardet Matthew Pyle (NCEP MMB) Mark Govett
  Louisa Nance Jamie K. Wolff Jeff Smith
  Steve Weygandt Ming Hu Shaowu Bao
  John Halley-Gotway    
Top Edit
 </