Cloud detection for numerical weather prediction assimilation of IASI data.

被引：0

作者：

Smith, JA ^{[1
]}

Taylor, JP ^{[1
]}

机构：

[1] Meteorol Off, Remote Sensing Branch, Farnborough GU14 0LX, Hants, England

来源：

IRS 2000: CURRENT PROBLEMS IN ATMOSPHERIC RADIATION | 2001年

关键词：

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Using Empirical Orthogonal Functions (EOF) to encode interferometer sounder spectra may allow the detection of cloud with no need for "background" information. Results of initial tests with observed clear and cloudy spectra are presented. These show that this technique will readily detect small cumulus partially filling the field of view in data measured by ARIES, Airborne Research Interferometer Evaluation System, an airborne simulator for the Infrared Atmospheric Sounding Interferometer, IASI, due for launch in 2003.

引用

页码：93 / 96

页数：4

共 50 条

[1] Cloud detection scheme for numerical weather prediction assimilation of IASI data.
Smith, JA
Taylor, JP
[J]. REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE VI, 2002, 4539 : 18 - 25
[2] Numerical Weather Prediction and Data Assimilation
Podgorski, Krzysztof
[J]. INTERNATIONAL STATISTICAL REVIEW, 2021,
[3] Numerical Weather Prediction and Data Assimilation
Podgorski, Krzysztof
[J]. INTERNATIONAL STATISTICAL REVIEW, 2021, 89 (02) : 431 - 432
[4] SMOS DATA ASSIMILATION FOR NUMERICAL WEATHER PREDICTION
de Rosnay, Patricia
Rodriguez-Fernandez, Nemesio
Munoz-Sabater, Joaquin
Albergel, Clement
Fairbairn, David
Lawrence, Heather
English, Stephen
Drusch, Matthias
Kerr, Yann
[J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 1447 - 1450
[5] A cloud-detection scheme for use with satellite sounding radiances in the context of data assimilation for numerical weather prediction
English, SJ
Eyre, JR
Smith, JA
[J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 1999, 125 (559) : 2359 - 2378
[6] Representativity of cloud-profiling radar observations for data assimilation in numerical weather prediction
Barker, Howard W.
Gabriel, Philip M.
Qu, Zhipeng
Kato, Seiji
[J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2021, 147 (736) : 1801 - 1822
[7] Representativity of cloud-profiling radar observations for data assimilation in numerical weather prediction
Barker, Howard W.
Gabriel, Philip M.
Qu, Zhipeng
Kato, Seiji
[J]. Quarterly Journal of the Royal Meteorological Society, 2021, 147 (736): : 1801 - 1822
[8] Big Ensemble Data Assimilation in Numerical Weather Prediction
Miyoshi, Takemasa
Kondo, Keiichi
Terasaki, Koji
[J]. COMPUTER, 2015, 48 (11) : 15 - 21
[9] Continuous data assimilation for global numerical weather prediction
Lean, P.
Holm, E. V.
Bonavita, M.
Bormann, N.
McNally, A. P.
Jarvinen, H.
[J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2021, 147 (734) : 273 - 288
[10] EVALUATION OF DATA ASSIMILATION ON NUMERICAL WEATHER PREDICTION FOR EGYPT
Badr, H. S.
Elhadidi, B. M.
Sherif, A. O.
[J]. 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 3526 - 3529

← 1 2 3 4 5 →