Impact of Aquarius and SMAP Satellite Sea Surface Salinity Observations on Coupled El Niño/Southern Oscillation Forecasts
| Autor: | Antonio J. Busalacchi, Joaquim Ballabrera-Poy, Robin Kovach, Eric Hackert |
|---|---|
| Přispěvatelé: | National Aeronautics and Space Administration (US), Ocean Salinity Science Team (US) |
| Rok vydání: | 2019 |
| Předmět: |
Ocean observations
010504 meteorology & atmospheric sciences Mixed layer Equator Initialization Oceanography 01 natural sciences Sea surface temperature symbols.namesake Geophysics Data assimilation Space and Planetary Science Geochemistry and Petrology Climatology Earth and Planetary Sciences (miscellaneous) symbols Environmental science Satellite Kelvin wave 0105 earth and related environmental sciences |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
| Popis: | 11 pages, 5 figures, 1 table.-- The MERRA‐2 data used to force the ocean model initialization is located at https://gmao.gsfc.nasa.gov/reanalysis/MERRA‐2/data_access/, the observation data repositories are sited within the text, and individual forecasts and forecast initializations (i.e., reanalyses) for CONTROL and SSS_ASSIM are available at https://gmao.gsfc.nasa.gov/gmaoftp/ehackert/ICCM_results/ website. In addition, the basis functions and model forecast error covariance that comprise the EROKF are available at this same location This study demonstrates the positive impact of including gridded Aquarius and Soil Moisture, Active/Passive (SMAP) sea surface salinity (SSS) into initialization of intermediate complexity coupled model forecasts for the tropical Indo-Pacific. An experiment that assimilates conventional ocean observations serves as the control. In a separate experiment, Aquarius and SMAP satellite SSS are additionally assimilated into the coupled model initialization. Analysis of the initialization differences with the control indicates that SSS assimilation causes a freshening and shallowing of the mixed layer depth near the equator and enhanced Kelvin wave amplitude. For each month from September 2011 to September 2017, 12-month-coupled ENSO forecasts are initialized from both the control and satellite SSS assimilation experiments. The experiment assimilating Aquarius and SMAP SSS significantly outperforms the control relative to observed NINO3.4 sea surface temperature anomalies. This work highlights the potential importance of inclusion of satellite SSS for improving the initialization of operational ENSO coupled forecasts National Aeronautics and Space Administration (NASA). Grant Number: NNH16ZDA001N. This research is supported by the Ocean Salinity Science Team (NNH16ZDA001‐OSST) |
| Databáze: | OpenAIRE |
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