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First 1872 results for ”A CHAKRABORTY”

1. Validation of Aura-OMI QA4ECV NO2 climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties

   The QA4ECV (Quality Assurance for Essential Climate Variables) version 1.1 stratospheric and trop...

   Compernolle, S., Verhoelst, T., Pinardi, G., Granville, J., Hubert, D., Keppens, A., Niemeijer, S., Rino, B., Bais, A., Beirle, S., Boersma, K.F., Burrows, J.P., De Smedt, I., Eskes, H., Goutail, F., Hendrick, F., Lorente, A., Pazmino, A., Piters, A., Peters, E., Pommereau, J.-P., Remmers, J., Richter, A., van Geffen, J., Van Roozendael, M., Wagner, T. and Lambert, J.-C | Journal: Atmospheric Chemistry and Physics | Volume: 20 | Year: 2020 | doi: https://doi.org/10.5194/acp-20-8017-2020

   Publication

2. Generalization of Ku-Band False-Alarm Reduction Method and Application to Cscat

   Space-borne scatterometer observations are well-known ocean surface wind remote sensing instrumen...

   Xingou Xu, Ad Stoffelen, Wenming Lin, Xiaolong Dong | Journal: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium | Year: 2020 | doi: https://doi.org/10.1109/IGARSS39084.2020.9323921

   Publication

3. Sensitivity of liquid cloud optical thickness and effective radius retrievals to cloud bow and glory conditions using two SEVIRI imagers

   Retrievals of cloud properties from geostationary satellite sensors offer extensive spatial and t...

   Benas, N., Meirink, J. F., Stengel, M., and Stammes, P | Journal: Atmospheric Measurement Techniques | Year: 2019 | doi: https://doi.org/10.5194/amt-12-2863-2019

   Publication

4. The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model

   The Cloud Climate Change Initiative (Cloud_cci) satellite simulator has been developed to enable ...

   Eliasson, S., Karlsson, K. G., van Meijgaard, E., Meirink, J. F., Stengel, M., andWill´en, U | Journal: Geoscientific Model Development | Year: 2019 | doi: https://doi.org/10.5194/gmd-12-829-2019

   Publication

5. Survey of data assimilation methods for convective-scale numerical weather prediction at operational centres

   Data assimilation (DA) methods for convective-scale numerical weather prediction at operational c...

   Nils Gustafsson1 Tijana Janjic ́2 Christoph Schraff3 Daniel Leuenberger4 Martin Weissmann5 Hendrik Reich5 Pierre Brousseau6 Thibaut Montmerle6 Eric Wattrelot6 Antonín Bucˇánek7 Máté Mile8 Rafiq Hamdi9 Magnus Lindskog1 Jan Barkmeijer10 Mats Dahlbom11 Bruce Macpherson12 Sue Ballard12 Gordon Inverarity12 Jacob Carley13 Curtis Alexander14 David Dowell14 Shun Liu13 Yasutaka Ikuta15 Tadashi Fujita15 | Journal: Quarterly Journal of the Royal Meteorological Society, | Volume: 144 | Year: 2018 | First page: 1218 | Last page: 1256 | doi: 10.1002/qj.3179

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