SCOPUS 정보 검색 플랫폼

Volumn 15, Issue 4, 2000, Pages 397-415

A quantitative assessment of the NESDIS Auto-Estimator

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE ANALYSIS; RADAR IMAGING; REMOTE SENSING; WEATHER FORECASTING; WEATHER SATELLITES;

MULTISENSOR PRECIPITATION ANALYSIS;

RAIN;

ALGORITHM; ESTIMATION METHOD; PRECIPITATION ASSESSMENT; QUANTITATIVE ANALYSIS; RAINFALL;

OKLAHOMA; TEXAS; UNITED STATES;

EID: 0034253488 PISSN: 08828156 EISSN: None Source Type: Journal
DOI: 10.1175/1520-0434(2000)015<0397:AQAOTN>2.0.CO;2 Document Type: Article

Times cited : (13)

References (13)

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2
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3
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- Fulton, R.A.¹ Breidenbach, J.P.² Seo, D.J.³ Miller, D.A.⁴

8
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- Seasonal and geographic variations in quantitative precipitation predicted by NMC's nested-grid model and medium range forecast model
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9
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10
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11
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- NOAA Tech. Memo. NESS 86, U.S. Department of Commerce; [Available from U.S. Department of Commerce/National Oceanic and Atmospheric Administration/ National Environmental Satellite, Data and Information Service, Washington, DC 20233.]
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- Scofield, R.A.¹ Oliver, V.J.²

12
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- Real-time estimation of rainfall fields using radar rainfall and rain gauge data
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13
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- Operational GOES infrared rainfall estimation technique
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.