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Evaluation of the Tropical Variability from the Beijing Climate Center's Real-Time operational Global Ocean Data Assimilation System

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Advances in Atmospheric Sciences 2016年第2期33卷 208-220页

作者： Wei ZHOU Mengyan CHEN Wei ZHUANG Fanghua XU Fei ZHENG Tongwen WU Xin WANG Laboratory for Climate Studies National Climate Center China Meteorological Administration State Key Laboratory of Tropical oceanography South China Sea Institute of OceanologyChinese Academy of Sciences Ministry of Education Key Laboratory for Earth System Modeling and Center for Earth System ScienceTsinghua University International Center for Climate and Environment Science Institute of Atmospheric PhysicsChinese Academy of Sciences

The second-generation Global Ocean Data Assimilation System of the Beijing Climate Center （BCC_GODAS2.0） has been run daily in a pre-operational mode. It spans the period 1990 to the present day. The goal of this paper is to introduce the main components and to evaluate BCC_GODAS2.0 for the user community. BCC_GODAS2.0 consists of an observational data preprocess, ocean data quality control system, a three-dimensional variational （3DVAR） data assimilation, and global ocean circulation model [Modular Ocean Model 4 （MOM4）]. MOM4 is driven by six-hourly fluxes from the National Centers for Environmental Prediction. Satellite altimetry data, SST, and in-situ temperature and salinity data are assimilated in real time. The monthly results from the BCC_GODAS2.0 reanalysis are compared and assessed with observations for 1990-201 I. The climatology of the mixed layer depth of BCC_GODAS2.0 is generally in agreement with that of World Ocean Atlas 2001. The modeled sea level variations in the tropical Pacific are consistent with observations from satellite altimetry on interannual to decadal time scales. Performances in predicting variations in the SST using BCC_GODAS2.0 are evaluated. The standard deviation of the SST in BCC_GODAS2.0 agrees well with observations in the tropical Pacific. BCC_GODAS2.0 is able to capture the main features of E1 Nifio Modoki I and Modoki II, which have different impacts on rainfall in southern China. In addition, the relationships between the Indian Ocean and the two types of E1 Nino Modoki are also reproduced.

关键词： operational oceanography global ocean 3DVAR E1 Nifio interannual variability

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Development and validation of a coastal ocean forecasting system for Puerto Rico and the *** islands

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Journal of Ocean Engineering and Science 2018年第3期3卷 223-236页

作者： M.Solano M.Canals S.Leonardi Naval Research Laboratory Stennis Space Center MS 39529-5004 Center for Ocean Science and Engineering Department of engineering Sciences and MaterialsCaribbean Coastal Ocean Observing SystemUniversity of Puerto Rico at Mayaguez Dept.Mechanical Engineering The University of Texas at DallasTX USA

An ocean forecasting system has been developed for the coastal area of Puerto Rico and the *** *** paper presents the development and validation of the Puerto Rico operational Regional Ocean Modeling System(PRO-ROMS)developed by the Caribbean Coastal Ocean Observing System(CARICOOS),which aims at improving currently available short-term forecasts of ocean currents for this region,and to resolve sub-mesoscale variability absent from the currently operational regional *** coastal ocean forecasting system is based on the Regional Ocean Modeling System(ROMS),and provides a 3-day forecast of ocean currents,water levels,temperature and *** and lateral boundary conditions are derived from the *** Oceanographic Office(NAVOCEANO)operational AmSeas forecasting system,a 3.6-km resolution application of the regional Navy Coastal Ocean Model(NCOM)that encompasses the Gulf of Mexico and Caribbean *** conditions are interpolated from the Navy’s Coupled Ocean-Atmosphere Mesoscale Prediction System(COAMPS)with the exception of surface stresses,which are computed from a 2-km application of the Weather Research and Forecasting(WRF)model used by National Centers for Environmental Protection’s(NCEP)National Digital Forecast Database(NDFD).Tidal variability is imposed using ROMS spectral forcing by specifying the harmonic phases and amplitudes from the TPXO global inverse tide solutions at the boundaries and sub-tidal conditions are imposed by filtering out high frequencies of barotropic variables from the lateral boundary conditions interpolated from *** results of sea surface height are validated with NOAA tide gauges,ocean currents are validated with Acoustic Doppler Current Profilers(ADCP)and High Frequency Radars(HFR).Computed statistics show improvement of the ocean current forecast in PRO-ROMS compared to AmSeas,especially at higher frequencies dominated by the tides and in small channels where the bathymetry is

关键词： Ocean modeling operational oceanography Forecasting

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