Recent Developments in Assimilation of Satellite Data in the MS

نویسنده

  • S. Macpherson
چکیده

In May 2008, several important changes with respect to satellite data assimilation were made to the Meteorological Service of Canada (MSC) operational global 4D-Var Data Assimilation and Forecast System (DAFS). At the same time, a new version of the MSC DAFS has been developed which uses a new version of the MSC Global Environmental Multiscale (GEM) model called GEM-Strato. The GEMStrato model incorporates several significant changes to the current version of the model, including a lid raised from 10 hPa (~30 km) to 0.1 hPa (~65 km). The new system, scheduled to replace the current system in 2009, allows for assimilation of additional radiance data from higher-peaking microwave and infrared instrument channels as well as GPS radio-occultation data up to 40 km (~3 hPa). This paper describes the recent changes in satellite data assimilation in the operational DAFS, and presents results of satellite data impact experiments with the new GEM-Strato system. In addition, the performance of the operational DAFS and the new GEM-Strato system are compared. Finally, future plans for satellite data assimilation are presented, which include assimilation of data from the EUMETSAT satellites METOP (AMSU-A, MHS, IASI, GRAS, ASCAT) and METEOSAT.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Capabilities of data assimilation in correcting sea surface temperature in the Persian Gulf

Predicting the quality of water and air is a particular challenge for forecasting systems that support them. In order to represent the small-scale phenomena, a high-resolution model needs accurate capture of air and sea circulations, significant for forecasting environmental pollution. Data assimilation is one of the state of the art methods to be used for this purpose. Due to the importance of...

متن کامل

Capabilities of data assimilation in correcting sea surface temperature in the Persian Gulf

Predicting the quality of water and air is a particular challenge for forecasting systems that support them. In order to represent the small-scale phenomena, a high-resolution model needs accurate capture of air and sea circulations, significant for forecasting environmental pollution. Data assimilation is one of the state of the art methods to be used for this purpose. Due to the importance of...

متن کامل

Criteria of selecting satellite data for studying land resources

In recent years, acquiring information of remote sensing data, especially satellite data has excessively increased and several methods are presented in order to improve the quality of remote sensing studies in earth sciences. It is possible to manage many projects and provide different types of thematic maps in a short period of time, and a low cost by utilizing satellite data and GIS method. R...

متن کامل

The Ecmwf Surface Analysis: Use of Active and Passive Microwave Data for Soil Moisture Analysis

This paper presents the European Centre for Medium-Range Weather Forecasts (ECMWF) soil moisture (SM) analysis system and its recent developments which enables the assimilation of active and passive microwave data. The current operational SM analysis used in the Integrated Forecast System (IFS), is based on an Optimal Interpolation (OI) scheme using proxy observations (2 m air temperature and r...

متن کامل

Browse searchable encryption schemes: Classification, methods and recent developments

With the advent of cloud computing, data owners tend to submit their data to cloud servers and allow users to access data when needed. However, outsourcing sensitive data will lead to privacy issues. Encrypting data before outsourcing solves privacy issues, but in this case, we will lose the ability to search the data. Searchable encryption (SE) schemes have been proposed to achieve this featur...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008