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High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6
Robust projections and predictions of climate vari-
ability and change, particularly at regional ...
RJ Haarsma, et al. | Status: published | Journal: Geoscientific Model Development | Year: 2016 | doi: 10.5194/gmd-9-4185-2016
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Mesoscale winds over the oceans
With the succesfull launch of MetOp-A carrying the Advanced Scatterometer (ASCAT) in October 2006...
J Vogelzang, A Stoffelen, M Portabella, A Verhoef, J Verspeek | Conference: EUMETSAT/AMS conference | Organisation: EUMETSAT | Place: Amsterdam, The Netherlands | Year: 2007 | First page: 0 | Last page: 0
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Did the ECMWF seasonal forecast model outperform a statistical model over the last 15 years?
Since 1997 the European Centre for Medium-Range Weather Forecasts (ECMWF) has made seasonal forec...
GJ van Oldenborgh, MA Balmaseda, L Ferranti, TN Stockdale, DLT Anderson | Year: 2003
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The 2018 fire season in North America as seen by TROPOMI: aerosol layer height validation and evaluation of model-derived plume heights
Before the launch of the TROPOspheric Moni- toring Instrument (TROPOMI), only two other satellite...
G Griffin, C Sioris, J Chen, N Dickson, A Kovachik, M de Graaf, S Nanda, JP Veefkind, E Dammers, CA McLinden, P Makar | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 13 | Year: 2020 | First page: 1427 | Last page: 1445 | doi: 10.5194/amt-13-1427-2020
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Himawari-8 aerosol optical depth (AOD) retrieval using a deep neural network trained using AERONET observations
Spectral aerosol optical depth (AOD) estimation from satellite-measured top of atmosphere
(TOA) r...
L She, H Zhang, Z Li, G de Leeuw, B Huang | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 19 | doi: doi:10.3390/rs12244125
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