Probabilistic merging and verification of monthly gridded aerosol products
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Title
Probabilistic merging and verification of monthly gridded aerosol products
Authors
Keywords
Aerosol optical depth, Ensemble modeling, Verification, Merging, Remote sensing, Optimal probabilistic fusion
Journal
ATMOSPHERIC ENVIRONMENT
Volume -, Issue -, Pages 118146
Publisher
Elsevier BV
Online
2020-12-25
DOI
10.1016/j.atmosenv.2020.118146
References
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Note: Only part of the references are listed.- Variation of the aerosol optical properties and validation of MODIS AOD products over the eastern edge of the Tibetan Plateau based on ground-based remote sensing in 2017
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- (2019) Jamie M. Bright et al. SOLAR ENERGY
- Advances in quantitative remote sensing product validation: Overview and current status
- (2019) Xiaodan Wu et al. EARTH-SCIENCE REVIEWS
- Standard of reference in operational day-ahead deterministic solar forecasting
- (2019) Dazhi Yang Journal of Renewable and Sustainable Energy
- Can we justify producing univariate machine-learning forecasts with satellite-derived solar irradiance?
- (2019) Gokhan Mert Yagli et al. APPLIED ENERGY
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- Evaluation of global horizontal irradiance estimates from ERA5 and COSMO-REA6 reanalyses using ground and satellite-based data
- (2018) Ruben Urraca et al. SOLAR ENERGY
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- (2018) Dazhi Yang et al. SOLAR ENERGY
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- (2018) Alex J. Cannon STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Resolution Adaptive Fixed Rank Kriging
- (2018) ShengLi Tzeng et al. TECHNOMETRICS
- Estimation Methods for Nonhomogeneous Regression Models: Minimum Continuous Ranked Probability Score versus Maximum Likelihood
- (2018) Manuel Gebetsberger et al. MONTHLY WEATHER REVIEW
- Reducing Uncertainties in Large-Scale Solar Resource Data: The Impact of Aerosols
- (2018) Christian A. Gueymard et al. IEEE Journal of Photovoltaics
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- (2018) Huiying Luo et al. ATMOSPHERIC ENVIRONMENT
- The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies
- (2017) V. Buchard et al. JOURNAL OF CLIMATE
- The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part I: System Description and Data Assimilation Evaluation
- (2017) C. A. Randles et al. JOURNAL OF CLIMATE
- New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product
- (2017) Muhammad Bilal et al. REMOTE SENSING OF ENVIRONMENT
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- Bias induced by the AOD representation time scale in long-term solar radiation calculations. Part 1: Sensitivity of the AOD distribution to the representation time scale
- (2016) Jose A. Ruiz-Arias et al. SOLAR ENERGY
- A consistent aerosol optical depth (AOD) dataset over mainland China by integration of several AOD products
- (2015) H. Xu et al. ATMOSPHERIC ENVIRONMENT
- Digging the METEOSAT Treasure—3 Decades of Solar Surface Radiation
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- Brief Accuracy Assessment of Aerosol Climatologies for the Retrieval of Solar Surface Radiation
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- A geostatistical approach for producing daily Level-3 MODIS aerosol optical depth analyses
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- Statistical data fusion of multi-sensor AOD over the Continental United States
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- Validation of SeaWiFS and MODIS aerosol products with globally distributed AERONET data
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