Monitoring air quality from space: The case for the geostationary platform

W. A. Lahoz; V. H. Peuch; J. Orphal; J. L. Attié; K. Chance; X. Liu; D. Edwards; H. Elbern; J. M. Flaud; M. Claeyman; L. El Amraoui

doi:10.1175/BAMS-D-11-00045.1

Monitoring air quality from space: The case for the geostationary platform

W. A. Lahoz, V. H. Peuch, J. Orphal, J. L. Attié, K. Chance, X. Liu, D. Edwards, H. Elbern, J. M. Flaud, M. Claeyman, L. El Amraoui

Research output: Contribution to journal › Article › peer-review

31 Scopus citations

Abstract

Uncertainty information from ensemble prediction systems can enhance and extend the suite of tropical cyclone (TC) forecast products. This article will review progress in ensemble prediction of TCs and the scientific issues in ensemble system development for TCs. Additionally, it will discuss the needs of forecasters and other users for TC uncertainty information and describe some ensemble-based products that may be able to be disseminated in the near future. We hope these proposals will jump-start a community-wide discussion of how to leverage ensemble-based uncertainty information for TC prediction.

Original language	English
Pages (from-to)	221-233
Number of pages	13
Journal	Bulletin of the American Meteorological Society
Volume	93
Issue number	2
DOIs	https://doi.org/10.1175/BAMS-D-11-00045.1
State	Published - Feb 2012
Externally published	Yes

Access to Document

10.1175/BAMS-D-11-00045.1

Cite this

@article{33bd0cf3645a45e79ca38766cec934ff,

title = "Monitoring air quality from space: The case for the geostationary platform",

abstract = "Uncertainty information from ensemble prediction systems can enhance and extend the suite of tropical cyclone (TC) forecast products. This article will review progress in ensemble prediction of TCs and the scientific issues in ensemble system development for TCs. Additionally, it will discuss the needs of forecasters and other users for TC uncertainty information and describe some ensemble-based products that may be able to be disseminated in the near future. We hope these proposals will jump-start a community-wide discussion of how to leverage ensemble-based uncertainty information for TC prediction.",

author = "Lahoz, \{W. A.\} and Peuch, \{V. H.\} and J. Orphal and Atti{\'e}, \{J. L.\} and K. Chance and X. Liu and D. Edwards and H. Elbern and Flaud, \{J. M.\} and M. Claeyman and \{El Amraoui\}, L.",

year = "2012",

month = feb,

doi = "10.1175/BAMS-D-11-00045.1",

language = "English",

volume = "93",

pages = "221--233",

journal = "Bulletin of the American Meteorological Society",

issn = "0003-0007",

publisher = "American Meteorological Society",

number = "2",

}

TY - JOUR

T1 - Monitoring air quality from space

T2 - The case for the geostationary platform

AU - Lahoz, W. A.

AU - Peuch, V. H.

AU - Orphal, J.

AU - Attié, J. L.

AU - Chance, K.

AU - Liu, X.

AU - Edwards, D.

AU - Elbern, H.

AU - Flaud, J. M.

AU - Claeyman, M.

AU - El Amraoui, L.

PY - 2012/2

Y1 - 2012/2

N2 - Uncertainty information from ensemble prediction systems can enhance and extend the suite of tropical cyclone (TC) forecast products. This article will review progress in ensemble prediction of TCs and the scientific issues in ensemble system development for TCs. Additionally, it will discuss the needs of forecasters and other users for TC uncertainty information and describe some ensemble-based products that may be able to be disseminated in the near future. We hope these proposals will jump-start a community-wide discussion of how to leverage ensemble-based uncertainty information for TC prediction.

AB - Uncertainty information from ensemble prediction systems can enhance and extend the suite of tropical cyclone (TC) forecast products. This article will review progress in ensemble prediction of TCs and the scientific issues in ensemble system development for TCs. Additionally, it will discuss the needs of forecasters and other users for TC uncertainty information and describe some ensemble-based products that may be able to be disseminated in the near future. We hope these proposals will jump-start a community-wide discussion of how to leverage ensemble-based uncertainty information for TC prediction.

UR - https://www.scopus.com/pages/publications/84863140880

U2 - 10.1175/BAMS-D-11-00045.1

DO - 10.1175/BAMS-D-11-00045.1

M3 - Article

AN - SCOPUS:84863140880

SN - 0003-0007

VL - 93

SP - 221

EP - 233

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

IS - 2

ER -

Monitoring air quality from space: The case for the geostationary platform

Abstract

Access to Document

Other files and links

Fingerprint

Cite this