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Interpolating wind speed normals from the sparse Dutch network to a high resolution grid using local roughness from land use maps
There are different ways of creating gridded maps from observations. The aim of
this study was t...
A Stepek, IL Wijnant | Year: 2011 | Pages: 51
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An improved correction method for high quality wind and temperature observations derived from Mode-S EHS
Upper air atmospheric wind and temperature information is crucial for numerical weather predictio...
Siebren de Haan | Year: 2013 | Pages: 54
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Assessment of the TROPOMI tropospheric NO2 product based on airborne APEX observations
Sentinel-5 Precursor (S-5P), launched in October 2017, carrying the TROPOspheric Monitoring Instr...
Tack, F., Merlaud, A., Iordache, M.-D., Pinardi, G., Dimitropoulou, E., Eskes, H., Bomans, B., Veefkind, P., and Van Roozendael, M. | Journal: Atmos. Meas. Tech. | Volume: 14 | Year: 2021 | First page: 615 | Last page: 646 | doi: 10.5194/amt-14-615-2021
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MARKIS: the Dutch marine database and its quality control system
The Royal Netherlands Meteorological Institute (KNMI) has a long history of collecting and archiv...
JB Wijngaard | Year: 2006
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Assessment of the TROPOMI tropospheric \chemNO_2 product based on airborne APEX observations
Sentinel-5 Precursor (S-5P), launched in October 2017, carrying the TROPOspheric Monitoring Instr...
Tack, F.; Merlaud, A.; Iordache, M.-D.; Pinardi, G.; Dimitropoulou, E.; Eskes, H.; Bomans, B.; Veefkind, P.; Van Roozendael, M. | Journal: Atmospheric Measurement Techniques | Year: 2021 | doi: https://doi.org/10.5194/amt-14-615-2021
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