Nested Grid Model (NGM) Data, Analyses, and Forecasts for North America Using the Regional Analysis and Forecast System (RAFS)
Entry ID:
NMC_695_NWS0001
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Summary
Abstract:
These analyses and forecasts are associated with what is called the 'Regional Run' (RGL), the second in a series of daily forecast models operated by the National Meteorological Center (NMC). The RGL which is run twice daily is intended to provide the best possible numerical analysis and forecasts for the U.S. by providing more detailed regional forecasts using full rawinsonde data and providing ... more detailed precipitation guidance. The analysis/forecast
system used in the run is commonly known as the regional analysis and forecast
system (RAFS). A data cutoff time of approximately 2 hours is used to include
the majority of North American mandatory and significant level tropospheric
rawinsonde reports. The data include geopotential height, temperature, u and v
winds, humidity, vorticity, vertical velocity, precipitation, moisture, cloud
coverage, u and v momentum, pressure, surface energy budget, and skin and
sub-soil temperatures. Data sources include NWS observations, surface
observations from the Federal Aviation Administration (FAA), international
observations received on the World Meteorological Organization (WMO) Global
Telecommunications System (GTS), and satellite products provided by the
National Environmental Satellite Data and Information Service (NESDIS).
The regional optimum interpolation (ROI) analysis is utilized in the RGL run
(DiMego 1988). The 6-hour forecast first-guess fields from the 'Final Run'
(FNL) are first interpolated to the RAFS forecast grids and to the 16 vertical
layers of the nested grid model (NGM) and subjected to an implicit normal mode
initialization (Temperton 1988). The guess information is then interpolated to
a variable density analysis grid covering the Northern Hemisphere, using a
grid spacing of about 1.5 X 2.0 degree latitude/longitude over North America
and approximately 3 degrees elsewhere. The fields are then interpolated back to
the NGM grids and subjected to an incremental normal mode initialization
(Parrish 1989), which bring the mass and motion fields into approximate
balance. The forecast system uses a nested set of computational grids having
approximate resolutions of 360 (hemispheric), 180, and 90 (North America) km.
As the forecast proceeds, output is generated for mandatory pressure levels as
needed at 6-hour intervals, with precipitation and velocity fields outputted on
the 90 km grid while other fields are interpolated to the lower resolution
grids. The RGL analysis and forecast codes execute on the CYBER computers and
require about 23 and 27 minutes, while all other jobs (those that collect
observations to be passed to the ROI or generate maps and other forms of output
from the forecasts) are executed on the NAS 9000. If the CYBER computers are
unavailable, the RGL run is not executed. 
Related URL
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Description:
Additional information about this dataset is available via
World Wide Web from the NCAR Home Page.
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Geographic Coverage
(Click for Interactive Map)
Spatial coordinates
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N: 90.0
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S: 0.0
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E: -45.0
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W: -180.0
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Data Set Citation
Dataset Originator/Creator:
Techniques Development Laboratory, NCEP
Dataset Title:
Nested Grid Model (NGM) Data, Analyses, and Forecasts for North America Using the Regional Analysis and Forecast System (RAFS)
Online Resource:
http://dss.ucar.edu/datasets/ds069.5/
Temporal Coverage
Start Date:
1984-09-24
Stop Date:
1997-01-22
Data Resolution
Temporal Resolution:
12 hours
Quality
The global gridded product uses only good quality data.
Use Constraints
This Data set is not fully validated yet. Before using it in any trend analysis please contact algorithm team leads for the current known problems and updates.
Distribution
Distribution Media:
FTP
Distribution Size:
Approx 6 MB per file
Distribution Format:
HDF-EOS5
Fees:
None
Personnel
Role:
INVESTIGATOR
Phone:
301-614-5553
Fax:
301-614-5903
Email:
Nickolay.A.Krotkov at nasa.gov
Contact Address:
NASA
Goddard Space Flight Center
Mailstop 613.3
City:
Greenbelt
Province or State:
MD
Postal Code:
20771
Country:
USA
Role:
INVESTIGATOR
City:
De Bilt
Province or State:
AE
Postal Code:
3730
Country:
NL
Role:
TECHNICAL CONTACT
Role:
DIF AUTHOR
Phone:
301-614-5284
Email:
Suraiya.Ahmad at nasa.gov
Contact Address:
NASA Goddard Space Flight Center
Code 610.2
City:
Greenbelt
Province or State:
MD
Postal Code:
20771
Country:
USA
Publications/References
Ahmad, S. P., P. F. Levelt, P. K. Bhartia, E. Hilsenrath, G. W. Leppelmeier,and J. E. Johnson, "Atmospheric Products from the Ozone Monitoring Instrument(OMI)", Proceedings of SPIE conference on Earth Observing Systems VIII, San Diego,California, Aug 3-8, 2003. http://disc.sci.gsfc.nasa.gov/acdisc/ozone/docs/omi-spie-2003.doc Boersma, K. F., E. J. Bucsela, E. J. Brinksma, J. F. Gleason, NO2 in ... Algorithm Theoretical Baseline Document: OMI Trace Gas Algorithms, K. Chance
(ed.), vol. IV, ATBD-OMI-04, version 2.0, Aug. 2002.
http://eospso.gsfc.nasa.gov/eos_homepage/for_scientists/atbd/docs/OMI/
ATBD-OMI-04.pdf
Bucsela, E. J., Krotkov, N. A., Celarier, E. A., Lamsal, L. N., Swartz, W. H., Bhartia, P. K., Boersma, K. F., Veefkind, J. P., Gleason, J. F., and Pickering, K. E.: A new stratospheric and tropospheric NO2 retrieval algorithm for nadir-viewing satellite instruments: applications to OMI, Atmos. Meas. Tech. Discuss., 6, 1361-1407, doi:10.5194/amtd-6-1361-2013.
Bucsela, E., E. Celarier, M. Wenig, J. Gleason, P. Veefkind,
K.F. Boersma, E. Brinksma, Algorithm for NO2 vertical column
retrieval from the Ozone Monitoring Instrument, IEEE
Transactions on Geoscience and Remote Sensing, 44, 1245-1258,
2006.
Burrows, J.P., A. Richter, A. Dehn, B. Deters, S. Himmelmann,
S. Voigt, and J. Orphal, Atmospheric remote sensing reference
data from GOME - 2. Temperature-dependent absorption
cross-sections of O3 in the 231-794 nm range,
J. Quant. Spectrosc. Radiat. Transfer 61, 509-517, 1999.
Chance, K. V., and R. J. D. Spurr, Ring effect studies: Rayleigh
scattering, including molecular parameters for rotational Raman
scattering, and the Fraunhofer spectrum, Applied Optics, 36,
5224, 1997.
Palmer, P.I., D.J. Jacob, K. Chance, R.V. Martin, R.J.D. Spurr,
T.P. Kurosu, I. Bey, R. Yantosca, A. Fiore, Air mass factor
formulation for spectroscopic measurements from satellites:
Application to formaldehyde retrievals from the Global Ozone
Monitoring Experiment, J. Geophys. Res., 106, 14539, 2001.
Levelt, P.F., G.H.J. van den Oord, M.R. Dobber, A. Malkki, H. Visser, J. de
Vries, P. Stammes, J. Lundell and H. Saari, The Ozone Monitoring Instrument,
IEEE Trans. Geo. Rem. Sens., 2006, Vol. 44, No. 5, 1093-1101,
doi:10.1109/TGRS.2006.872333.
Levelt, P.F., E. Hilsenrath, G.W. Leppelmeier, G.H.J. van den Oord, P.K.
Bhartia, J. Tamminen, J.F. de Haan en J.P. Veefkind, Science Objectives of the
Ozone Monitoring Instrument, IEEE Trans. Geo. Rem. Sens., 2006, Vol. 44, No. 5,
1199-1208, doi:10.1109/TGRS.2006.872336.
Schoeberl, M.R., A.R. Douglass, E. Hilsenrath, P.K. Bhartia, R. Beer, J.W.
Waters, M.R. Gunson, L. Froidevaux, J.C. Gille, J.J. Barnett, P.F. Levelt and
P. DeCola, Overview of the EOS aura mission, IEEE Trans. Geo. Rem. Sens., 2006,
Vol. 44, No. 5, 1066-1074, doi:10.1109/TGRS.2005.861950.
Schoeberl, M.R., A.R. Douglass, E. Hilsenrath, P.K. Bhartia,
J. Barnett, J. Gille, R. Beer, M. Gunson, J. Waters,
P.F. Levelt,P. DeCola, "The EOS Aura Mission," EOS,
Transactions, American Geophysical Union 85 , Number 18, 4 May
2004. [Preprint]
http://aura.gsfc.nasa.gov/project/eos-agu-aura-article.pdf
Vandaele A.C., C. Hermans, P.C. Simon, M. Carleer, R. Colin,
S. Fally, M.F. M. Aerienne, A. Jenouvrier, and B. Coquart,
Measurements of the NO2 absorption cross-section from 42000 cm-1
to 10000 cm-1 (238-1000 nm) at 220 K and 294 K,
J. Quant. Spectrosc. Radiat. Transfer 59, 171-184, 1998
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date:
2009-11-24
Last DIF Revision Date:
2013-03-22
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