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First 973 results for ” L Corre”

1. 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

   Publication

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

   Publication

3. A new TROPOMI product for tropospheric NO2 columns over East Asia with explicit aerosol corrections

   We present a new product with explicit aerosol corrections, POMINO-TROPOMI, for tropospheric nitr...

   M Liu, J Lin, H Kong, F K Boersma, H J Eskes, Y Kanaya, Q He, X Tian, K Qin, P Xie, R Spurr, R Ni, Y Yan, H Weng, J Wang | Status: accepted | Journal: Atmos. Meas. Tech. | Volume: 13 | Year: 2020 | First page: 4247 | Last page: 4259 | doi: 10.5194/amt-13-4247-2020

   Publication

4. Improved SIFTER v2 algorithm for long-term GOME-2A satellite retrievals of fluorescence with a correction for instrument degradation

   Solar-induced fluorescence (SIF) data from satellites are increasingly used as a proxy for photos...

   E. van Schaik, M.L. Kooreman, P. Stammes, L.G. Tilstra, O.N.E. Tuinder, A.F.J. Sanders, W.W. Verstraeten, R. Lang, A. Cacciari, J. Joiner, W. Peters, K.F. Boersma | Journal: Atmospheric Measurement Techniques | Volume: 13 | Year: 2020 | doi: https://doi.org/10.5194/amt-13-4295-2020

   Publication

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

   Publication