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First 337 results for ” N Maat”

1. Daedalus: a low-flying spacecraft for in situ exploration of the lower thermosphere-ionosphere

   The Daedalus mission has been proposed to the European Space Agency (ESA) in response to the call...

   T Sarris, E Talaat, M Palmroth, I Dandouras, E Armandillo, G Kervalishvili, S Buchert, S Tourgaidis, D Malaspina, AN Jaynes, N Paschalidis, J Sample, J Halekas, E Doornbos | Journal: Geoscientific Instrumentation Methods and Data Sys | Volume: 9 | Year: 2020 | doi: 10.5194/gi-9-153-2020

   Publication

2. In-flight calibration results of the TROPOMI payload on board the Sentinel-5 Precursor satellite

   After the launch of the Sentinel-5 Precursor satellite on 13 October 2017, its single payload, th...

   A Ludewig, QL Kleipool, R Bartstra, RP Landzaat, J Leloux, GE Loots, P Meijering, EV van der Plas, NC Rozemeijer, F Vonk, JP Veefkind | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 13 | Year: 2020 | First page: 3561 | Last page: 3580 | doi: 10.5194/amt-13-3561-2020

   Publication

3. NOx emissions in India derived from OMI satellite observations,

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   Jieying Ding, Ronald van der A, Bas Mijling, Jos de Laat, Henk Eskes, K. Folkert Boersma | Journal: Atmospheric Environment: X | Volume: 14 | Year: 2022 | doi: 10.1016/j.aeaoa.2022.100174

   Publication

4. Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe

   Reliable subseasonal forecasts of high summer temperatures would be very valuable for society. Al...

   Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Monthly Weather Review | Volume: 150 | Year: 2022 | First page: 1115 | Last page: 1134 | doi: https://doi.org/10.1175/MWR-D-21-0201.1

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5. 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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