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First 682 results for ”Q Errera”

1. Systematic recovery of instrumental timing and phase errors using interferometric surface-waves retrieved from large-N seismic arrays

   Instrumental timing and phase errors are a notorious problem in seismic data acquisition and proc...

   Cornelis Weemstra, Janneke I. de Laat, Arie Verdel, Pieter Smets | Journal: Geophysical Journal International | Volume: 224 | Year: 2021 | First page: 1028 | Last page: 1055 | doi: https://doi.org/10.1093/gji/ggaa504

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2. Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures

   Subseasonal forecasts are challenging for numerical weather prediction (NWP) and machine learning...

   Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Artif. Intell. Earth Syst. | Volume: 2 | Year: 2023 | doi: https://doi.org/10.1175/AIES-D-22-0047.1

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3. Characterizing Buoy Wind Speed Error in High Winds and Varying Sea State with ASCAT and ERA5

   Buoys provide key observations of wind speed over the ocean and are routinely used as a source of...

   Ethan E Wright, Mark A Bourassa, Ad Stoffelen, Jean-Raymond Bidlot | Journal: Remote Sensing | Volume: 13 | Year: 2021 | doi: https://doi.org/10.3390/rs13224558

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4. Erratum to The Relationship between and ⁠: A Review and Application to Induced Seismicity in the Groningen Gas Field, The Netherlands

   In response to induced earthquakes associated with conventional gas production in the Groningen g...

   B Dost, B Edwards, JJ Bommer | Status: published | Journal: Seismological Research Letters | Volume: 90 | Year: 2019 | First page: 1660 | Last page: 1662 | doi: https://doi.org/10.1785/0220190062

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5. Improvements in Ku-band scatterometer wind ambiguity removal using ASCAT-based empirical background error correlations

   Wind scatterometry is an established technique for accurately measuring wind vectors over the wor...

   Jur Vogelzang, Ad Stoffelen | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 144 | Year: 2018 | doi: https://doi.org/10.1002/qj.3349

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