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The Geo Stationary Tropospheric Pollution Explorer (GeoTROPE) Mission: Objectives and Requirements
One of the major challenges facing atmospheric sciences is to assess, understand and quantify the...
JP Burrows, G Bergametti, H Bovensmann, JM Flaud, J Orphal, S Noel, PS Monks, GK Corlett, APH Goede, T von Clarmann, T Steck, H Fisher, F Friedl-Vallon | Status: published | Journal: Adv.Space Res. | Volume: 34 | Year: 2004 | First page: 682 | Last page: 687 | doi: doi:10.1016/j.asr.2003.08.067
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Comparing Area Probability Forecasts of (Extreme) Local Precipitation Using Parametric and Machine Learning Statistical Postprocessing Methods
Probabilistic forecasts, which communicate forecast uncertainties, enable users to make better we...
KRP Whan, MJ Schmeits | Status: published | Journal: Mon. Wea. Rev. | Volume: 146 | Year: 2018 | First page: 3651 | Last page: 3673 | doi: 10.1175/MWR-D-17-0290.1
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Crowdsourcing urban air temperatures through smartphone battery temperatures in São Paulo, Brazil
Crowdsourcing as a method to obtain and apply vast datasets is rapidly becoming prominent in mete...
Droste, Pape, Overeem, Leijnse, Steeneveld, Delden, Uijlenhoet | Status: published | Journal: J. Atm. Oceanic Technol. | Volume: 34 | Year: 2017 | First page: 1853 | Last page: 1866 | doi: 10.1175/JTECH-D-16-0150.1
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Improving potential wind for extreme wind statistics
To correct measured wind for local roughness at the station location, exposure correction factors...
N Wever, G Groen | Year: 2009 | Pages: 114
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Short-Term Forecasting of High-Impact Weather with Physics-Guided Machine Learning : Technical Report
Extreme weather events such as heavy storms and heavy precipitation have a large impact on our so...
C. A. Severijns & G. A. Pagani
| Year: 2023 | Pages: 12
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