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On uncertainty of Jupiter's core mass due to observational errors.

• Authors : Hori, Yasunori; Sano, Takayoshi; Ikoma, Masahiro

• Source: Proceedings of the International Astronomical Union; 10/03/2007, Vol. 3 Issue S249, p163-166, 4p

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LEO-Constellation-Augmented BDS Precise Orbit Determination Considering Spaceborne Observational Errors.

• Authors : Li, Min; Xu, Tianhe; Ge, Haibo

Subjects: ORBIT determination; GLOBAL Positioning System; BEIDOU satellite navigation system

• Source: Remote Sensing; Aug2021, Vol. 13 Issue 16, p3189-3189, 1p

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A Statistical Determination of the Random Observational Errors Present in Voluntary Observing Ships Meteorological Reports.

• Authors : Kent, Elizabeth C.; Challenor, Peter G.; Taylor, Peter K.

Subjects: METEOROLOGICAL observations; ATMOSPHERIC temperature; CLIMATOLOGY

• Source: Journal of Atmospheric & Oceanic Technology; Jul99, Vol. 16 Issue 7, p905, 10p

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The impact of observational errors on objective analyses.

• Authors : Lu, Chungu; Browning, Gerald L.

Subjects: ATMOSPHERIC research

• Source: Journal of the Atmospheric Sciences; 5/15/98, Vol. 55 Issue 10, p1791, 17p, 9 Diagrams, 5 Charts, 4 Graphs

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Particle Filtering: A Priori Estimation of Observational Errors of a State-Space Model with Linear Observation Equation †.

• Authors : Lykou, Rodi; Tsaklidis, George

Subjects: LINEAR equations; MISSING data (Statistics); KALMAN filtering

• Source: Mathematics (2227-7390); Jun2021, Vol. 9 Issue 12, p1445, 1p

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The Influence of Numerical and Observational Errors on the Likelihood of an ARMA Series.

• Authors : Jammalamadaka, S. Rao; Chengou Wu; Weiqung Wang

Subjects: AUTOREGRESSION (Statistics); MATHEMATICAL functions; ERROR analysis in mathematics

• Source: Journal of Time Series Analysis; Mar1999, Vol. 20 Issue 2, p223, 13p

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Exploration of Deep-Learning-Based Error-Correction Methods for Meteorological Remote-Sensing Data: A Case Study of Atmospheric Motion Vectors.

• Authors : Cao, Hang; Leng, Hongze; Zhao, Jun

Subjects: ATMOSPHERIC circulation; NUMERICAL weather forecasting; STANDARD deviations

• Source: Remote Sensing; Sep2024, Vol. 16 Issue 18, p3522, 25p

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Enhancing Extreme Precipitation Forecasts through Machine Learning Quality Control of Precipitable Water Data from Satellite FengYun-2E: A Comparative Study of Minimum Covariance Determinant and Isolation Forest Methods.

• Authors : Shen, Wenqi; Chen, Siqi; Xu, Jianjun

Subjects: WEATHER forecasting; METEOROLOGICAL research; PRECIPITATION forecasting

• Source: Remote Sensing; Aug2024, Vol. 16 Issue 16, p3104, 33p

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Effects of Secular Changes in Frequency of Observations and Observational Errors on Monthly Mean MSLP Summary Statistics Derived from ICOADS.

• Authors : Chang, Edmund K. M.

Subjects: METEOROLOGY; PRESSURE; CYCLONES

• Source: Journal of Climate; Sep2005, Vol. 18 Issue 17, p3623-3633, 11p, 2 Charts, 6 Graphs

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Comments on 'A Statistical Determination of the Random Observational Errors Present in Voluntary Observing Ships' Meteorological Reports.'

• Authors : Ingleby, N. Bruce

Subjects: OCEANOGRAPHY; ATMOSPHERIC pressure measurement

• Source: Journal of Atmospheric & Oceanic Technology; Jun2001, Vol. 18 Issue 6, p1102, 6p, 4 Charts

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