North American regional reanalysis

Fedor Mesinger; Geoff DiMego; Eugenia Kalnay; Perry Shafran; Wesley Ebisuzaki; Dusan Jovic; Jack Woollen; Kenneth Mitchell; Eric Rogers; Michael Ek; Yun Fan; Robert Grumbine; Wayne Higgins; Hong Li; Ying Lin; Geoff Manikin; David Parrish; Wei Shi

North American regional reanalysis

Fedor Mesinger, Geoff DiMego, Eugenia Kalnay, Perry Shafran, Wesley Ebisuzaki, Dusan Jovic, Jack Woollen, Kenneth Mitchell, Eric Rogers, Michael Ek, Yun Fan, Robert Grumbine, Wayne Higgins, Hong Li, Ying Lin, Geoff Manikin, David Parrish, Wei Shi

Joint Numerical Testbed

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

The long-term, consistent and high-resolution climate data set for North American domain is discussed which is known as North American Regional Reanalysis (NARR). The NARR predicts variability of water in weather and climate which is in concern with the U.S. precipitation patterns. The free forecasts use forecast lateral boundary conditions which simulates forecast skill in operational conditions. The data sets used in NARR include precipitation, vertical azimuth display (VAD) winds, land surface wind, lake surface and sea ice.

Original language	English
Pages (from-to)	4189-4201
Number of pages	13
Journal	Bulletin of the American Meteorological Society
State	Published - 2004
Event	Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States Duration: Jan 11 2004 → Jan 15 2004

Cite this

@article{969bdf9b13e54263b3184d465010c4df,

title = "North American regional reanalysis",

abstract = "The long-term, consistent and high-resolution climate data set for North American domain is discussed which is known as North American Regional Reanalysis (NARR). The NARR predicts variability of water in weather and climate which is in concern with the U.S. precipitation patterns. The free forecasts use forecast lateral boundary conditions which simulates forecast skill in operational conditions. The data sets used in NARR include precipitation, vertical azimuth display (VAD) winds, land surface wind, lake surface and sea ice.",

author = "Fedor Mesinger and Geoff DiMego and Eugenia Kalnay and Perry Shafran and Wesley Ebisuzaki and Dusan Jovic and Jack Woollen and Kenneth Mitchell and Eric Rogers and Michael Ek and Yun Fan and Robert Grumbine and Wayne Higgins and Hong Li and Ying Lin and Geoff Manikin and David Parrish and Wei Shi",

year = "2004",

language = "English",

pages = "4189--4201",

journal = "Bulletin of the American Meteorological Society",

issn = "0003-0007",

publisher = "American Meteorological Society",

note = "Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting ; Conference date: 11-01-2004 Through 15-01-2004",

}

TY - JOUR

T1 - North American regional reanalysis

AU - Mesinger, Fedor

AU - DiMego, Geoff

AU - Kalnay, Eugenia

AU - Shafran, Perry

AU - Ebisuzaki, Wesley

AU - Jovic, Dusan

AU - Woollen, Jack

AU - Mitchell, Kenneth

AU - Rogers, Eric

AU - Ek, Michael

AU - Fan, Yun

AU - Grumbine, Robert

AU - Higgins, Wayne

AU - Li, Hong

AU - Lin, Ying

AU - Manikin, Geoff

AU - Parrish, David

AU - Shi, Wei

PY - 2004

Y1 - 2004

N2 - The long-term, consistent and high-resolution climate data set for North American domain is discussed which is known as North American Regional Reanalysis (NARR). The NARR predicts variability of water in weather and climate which is in concern with the U.S. precipitation patterns. The free forecasts use forecast lateral boundary conditions which simulates forecast skill in operational conditions. The data sets used in NARR include precipitation, vertical azimuth display (VAD) winds, land surface wind, lake surface and sea ice.

AB - The long-term, consistent and high-resolution climate data set for North American domain is discussed which is known as North American Regional Reanalysis (NARR). The NARR predicts variability of water in weather and climate which is in concern with the U.S. precipitation patterns. The free forecasts use forecast lateral boundary conditions which simulates forecast skill in operational conditions. The data sets used in NARR include precipitation, vertical azimuth display (VAD) winds, land surface wind, lake surface and sea ice.

UR - https://www.scopus.com/pages/publications/2442621200

M3 - Conference article

AN - SCOPUS:2442621200

SN - 0003-0007

SP - 4189

EP - 4201

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

T2 - Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting

Y2 - 11 January 2004 through 15 January 2004

ER -

North American regional reanalysis

Abstract

Other files and links

Fingerprint

Cite this