WindSat applications for weather forecasters and data assimilation

Thomas Lee; James Goerss; Jeffrey Hawkins; Joseph Turk; Zorana Jelenak; Paul Chang

doi:10.1109/IGARSS.2005.1525796

WindSat applications for weather forecasters and data assimilation

Thomas Lee, James Goerss, Jeffrey Hawkins, Joseph Turk, Zorana Jelenak, Paul Chang

Cooperative Programs for the Advancement of Earth System Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper examines WindSat wind retrievals from two perspectives. The first is a statistical analysis, comparing both WindSat and QuikSCAT to model output. The second is an analysis geared toward weather forecasters based on individual case studies.

Original language	English
Title of host publication	25th Anniversary IGARSS 2005
Subtitle of host publication	IEEE International Geoscience and Remote Sensing Symposium
Pages	4022-4025
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2005.1525796
State	Published - 2005
Event	2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of Duration: Jul 25 2005 → Jul 29 2005

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	6

Conference

Conference	2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
Country/Territory	Korea, Republic of
City	Seoul
Period	07/25/05 → 07/29/05

Access to Document

10.1109/IGARSS.2005.1525796

Cite this

Lee, T., Goerss, J., Hawkins, J., Turk, J., Jelenak, Z., & Chang, P. (2005). WindSat applications for weather forecasters and data assimilation. In 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium (pp. 4022-4025). Article 1525796 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 6). https://doi.org/10.1109/IGARSS.2005.1525796

@inproceedings{5a61f37f49584304a83ac217211ba84b,

title = "WindSat applications for weather forecasters and data assimilation",

abstract = "This paper examines WindSat wind retrievals from two perspectives. The first is a statistical analysis, comparing both WindSat and QuikSCAT to model output. The second is an analysis geared toward weather forecasters based on individual case studies.",

author = "Thomas Lee and James Goerss and Jeffrey Hawkins and Joseph Turk and Zorana Jelenak and Paul Chang",

year = "2005",

doi = "10.1109/IGARSS.2005.1525796",

language = "English",

isbn = "0780390504",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "4022--4025",

booktitle = "25th Anniversary IGARSS 2005",

note = "2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 ; Conference date: 25-07-2005 Through 29-07-2005",

}

Lee, T, Goerss, J, Hawkins, J, Turk, J, Jelenak, Z & Chang, P 2005, WindSat applications for weather forecasters and data assimilation. in 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium., 1525796, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 6, pp. 4022-4025, 2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005, Seoul, Korea, Republic of, 07/25/05. https://doi.org/10.1109/IGARSS.2005.1525796

WindSat applications for weather forecasters and data assimilation. / Lee, Thomas; Goerss, James; Hawkins, Jeffrey et al.
25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium. 2005. p. 4022-4025 1525796 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 6).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - WindSat applications for weather forecasters and data assimilation

AU - Lee, Thomas

AU - Goerss, James

AU - Hawkins, Jeffrey

AU - Turk, Joseph

AU - Jelenak, Zorana

AU - Chang, Paul

PY - 2005

Y1 - 2005

N2 - This paper examines WindSat wind retrievals from two perspectives. The first is a statistical analysis, comparing both WindSat and QuikSCAT to model output. The second is an analysis geared toward weather forecasters based on individual case studies.

AB - This paper examines WindSat wind retrievals from two perspectives. The first is a statistical analysis, comparing both WindSat and QuikSCAT to model output. The second is an analysis geared toward weather forecasters based on individual case studies.

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U2 - 10.1109/IGARSS.2005.1525796

DO - 10.1109/IGARSS.2005.1525796

M3 - Conference contribution

AN - SCOPUS:33745726316

SN - 0780390504

SN - 9780780390508

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 4022

EP - 4025

BT - 25th Anniversary IGARSS 2005

T2 - 2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005

Y2 - 25 July 2005 through 29 July 2005

ER -

WindSat applications for weather forecasters and data assimilation

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