The Navy's Earth System Prediction Capability: A New Global Coupled Atmosphere?Ocean?Sea Ice Prediction System Designed for Daily to Subseasonal Forecasting

نویسندگان

چکیده

This paper describes the new global Navy Earth System Prediction Capability (Navy-ESPC) coupled atmosphere-ocean-sea ice prediction system developed at Naval Research Laboratory (NRL) for operational forecasting timescales of days to subseasonal. Two configurations are validated: (1) a low-resolution 16-member ensemble and (2) high-resolution deterministic system. The Navy-ESPC became in August 2020, this is first time NRL partner, Fleet Numerical Meteorology Oceanography Center, will provide forecasts, with atmospheric forecasts extending past 16 days, ocean sea forecasts. A unique aspect that model eddy resolving 1/12° 1/25° configurations. component models current systems: NAVy Global Environmental Model (NAVGEM) atmosphere, HYbrid Coordinate Ocean (HYCOM) ocean, Community Ice CodE (CICE) ice. Physics updates improve simulation equatorial phenomena, particularly Madden-Julian Oscillation (MJO), were introduced into NAVGEM. configuration evaluated based on analyses from January 2017 2018. forecast skill large-scale such as MJO, North Atlantic (NAO), Antarctic (AAO), other indices, comparable numerical weather (NWP) centers. Ensemble surface temperatures perform better than climatology tropics midlatitudes out 60 days. In addition, Pan-Arctic Pan-Antarctic extent predictions about 45 although dependent season.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Subseasonal to Seasonal Prediction

The subseasonal to seasonal timescale provides a unique opportunity to capitalise on the expertise of the weather and climate research communities, and to bring them together to improve predictions on a timescale of particular relevance to the Global Framework for Climate Services (GFCS). A planning group which included representatives from WWRP/THORPEX, WCRP, CBS and CCl drafted the implementa...

متن کامل

Subseasonal to Seasonal Prediction

The subseasonal to seasonal timescale provides a unique opportunity to capitalise on the expertise of the weather and climate research communities, and to bring them together to improve predictions on a timescale of particular relevance to the Global Framework for Climate Services (GFCS). A planning group which included representatives from WWRP/THORPEX, WCRP, CBS and CCl drafted the implementa...

متن کامل

Forced versus Coupled Dynamics in Earth System Modeling and Prediction

We compare coupled nonlinear climate models and their simplified forced counterparts with respect to predictability and phase space topology. Various types of uncertainty plague climate change simulation, which is, in turn, a crucial element of Earth System modelling. Since the currently preferred strategy for simulating the climate system, or the Earth System at large, is the coupling of sub-s...

متن کامل

Forced versus coupled dynamics in Earth system modelling and prediction

We compare coupled nonlinear climate models and their simplified forced counterparts with respect to predictability and phase space topology. Various types of uncertainty plague climate change simulation, which is, in turn, a crucial element of Earth System modelling. Since the currently preferred strategy for simulating the climate system, or the Earth System at large, is the coupling of sub-s...

متن کامل

THE EARTH SYSTEM PREDICTION SUITE: Toward a Coordinated U.S. Modeling Capability.

The Earth System Prediction Suite (ESPS) is a collection of flagship U.S. weather and climate models and model components that are being instrumented to conform to interoperability conventions, documented to follow metadata standards, and made available either under open source terms or to credentialed users. The ESPS represents a culmination of efforts to create a common Earth system model arc...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Earth and Space Science

سال: 2021

ISSN: ['2333-5084']

DOI: https://doi.org/10.1029/2020ea001199