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Use of a high resolution satellite-derived Sea Surface Temperature (SST) climatology for the initialization of a real-time weather forecast model

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 19 May 2022Publisher:Zenodo

Authors: Gomez, Igor; Estrela, M. J.; Caselles, V.;

doi: 10.5281/zenodo.6564169 , 10.5281/zenodo.6564168

Use of a high resolution satellite-derived Sea Surface Temperature (SST) climatology for the initialization of a real-time weather forecast model

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Abstract

Presented at the GHRSST XXIII international science team meeting, 27 June-1 July 2022, online and in-person (Barcelona). #GHRSST23 Short abstract The NOAA/NASA Advanced Very High Resolution Radiometers (AVHRR) Oceans Pathfinder Project was used to conduct a daily climatology in order to produce initial SST conditions for the operation of a regional real-time Weather Forecast System (WFS) based on the Regional Atmospheric Modelling System (RAMS). Previous studies have evaluated the importance of a well-defined SST for the simulation and forecast of heavy rainfall events, both in terms of the precipitation distribution and intensity. Therefore, an appropriate representation of this parameter should improve the prediction of these weather events. RAMS uses global monthly climatological data at 1 degree resolution (about 100 km) by default. To improve this spatial and temporal resolution, the AVHRR 4 km SST product was used to substitute the original SST field used by RAMS. The current methodology used this dataset to obtain a daily value for each grid point within the whole simulation grid, computed as the climatological mean of the whole time series, considering a 25-year period. An SST map for the simulation region and for each day of the year is then created, being accessible at any time. The corresponding map is then formatted to be directly incorporated into RAMS before a new simulation-cycle starts. The methodology has been developed to be flexible enough to permit not only a continuous update of the climatological database when more data becomes available, but also to implement other SST data sources, such as GHRSST products.

Related Organizations

University of Valencia
Spain
University of Alicante
Spain

Keywords

GHRSST23

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