also see from the paper
2.2.4. ComparisonofdifferentsatelliteNO2 estimates
We assessed whether surface NO2 estimates derived using surface-to-column
ratios from WRF-Chem lead to models with better predictive ability for ground
level NO2 than the easier to obtain estimates of tropospheric NO2 column density.
For both our annual and monthly models, we examined two alternatives; one with
surface NO2 estimates as a candidate variable (‘surface model’) and one with NO2
column density estimates (‘column model’). All other candidate variables were the
same across the two models.
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additional_metadata
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Access is restricted
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alternate_identifier
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https://cloudstor.aarnet.edu.au/plus/f/1718142723
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associated_party
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Ivan Hanigan [role: creation of publishable derived data from data provided]
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access_rules
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Recommended Citation
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Knibbs, L. (2015), SatNO2_2006_2011, Retrieved from Centre for Air pollution, energy and health Research. https://cloudstor.aarnet.edu.au/plus/f/1718142723
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other
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accessibility
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Restricted
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