2017
DOI: 10.1002/2017ja024185
|View full text |Cite
|
Sign up to set email alerts
|

Data Assimilation of Ground‐Based GPS and Radio Occultation Total Electron Content for Global Ionospheric Specification

Abstract: This study presents an approach based on the Gauss‐Markov Kalman filter to assimilate the total electron content observed from ground‐based GPS receivers and space‐based radio occultation instrumentations (such as FORMOSAT‐3/COSMIC (F3/C) and FORMOSAT‐7/COSMIC‐2 (F7/C2)) into the International Reference Ionosphere. Observing System Simulation Experiments (OSSEs) show that the data assimilation procedure consisting of the forecast and the measurement update steps can better improve the accuracy of the data assi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
44
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
5
2
1

Relationship

1
7

Authors

Journals

citations
Cited by 45 publications
(57 citation statements)
references
References 36 publications
0
44
0
Order By: Relevance
“…As the assimilation cycle progresses along time, the analysis ionosphere is continuously updated, and the influence of initial ionosphere conditions given by International Reference Ionosphere is replaced by the prior state of the assimilation after 8 hr (Lin et al, ). The GIS product has been verified by observing system simulation experiments, demonstrating that the data assimilation procedure, consisting of both the forecast and the measurement update steps, can greatly improve the accuracy of the data assimilation analysis compared to the assimilation procedure using solely the measurement update alone (Lin et al, ). The domain of GIS consists of 5° × 2.5° × 20 (km) grid in geographic longitude, magnetic latitude (between ±40°), and altitude (from 100 to 1,000 km) with time interval of 1 hr in UT.…”
Section: Data‐assimilated Global Ionosphere Specification and Tidal Rmentioning
confidence: 99%
See 1 more Smart Citation
“…As the assimilation cycle progresses along time, the analysis ionosphere is continuously updated, and the influence of initial ionosphere conditions given by International Reference Ionosphere is replaced by the prior state of the assimilation after 8 hr (Lin et al, ). The GIS product has been verified by observing system simulation experiments, demonstrating that the data assimilation procedure, consisting of both the forecast and the measurement update steps, can greatly improve the accuracy of the data assimilation analysis compared to the assimilation procedure using solely the measurement update alone (Lin et al, ). The domain of GIS consists of 5° × 2.5° × 20 (km) grid in geographic longitude, magnetic latitude (between ±40°), and altitude (from 100 to 1,000 km) with time interval of 1 hr in UT.…”
Section: Data‐assimilated Global Ionosphere Specification and Tidal Rmentioning
confidence: 99%
“…However, previous studies using FORMOSAT‐3/COSMIC (F3/C) electron density profiles could not resolve and distinguish daily SW2 and M2 variabilities as it requires at least a 20‐day accumulated window to ensure sufficient radio occultation measurements in the global three‐dimensional grid covering 24‐hr local time period for constructing the median ionospheric electron density (J. T. Lin et al, ). In the present study, we utilize a new approach of assimilated electron density product (Lin et al, ), referred to as global ionosphere specification (GIS). GIS assimilates both radio occultation and ground‐based Global Positioning System (GPS) slant TECs and provides hourly global electron density distribution every day.…”
Section: Introductionmentioning
confidence: 99%
“…A linear Gauss Markov process is used in the Kalman filter model forecast step to time-forward the ionospheric TEC state from k time step to k + k time step as given below (2) [11].…”
Section: B Estimation Of Model Forecast Using Kalman Filtermentioning
confidence: 99%
“…Chen et al [18] assimilated ground-based GPS TEC observations into the TIEGCM model with 10 min assimilation-forecast cycling process and achieved greater forecast accuracy. Lin et al [11] assimilated the global data sets of ground-based TEC observations and COSMIC F3/C radio occultation datapoints onto International Reference Ionosphere (IRI) including forecasting capability.…”
Section: Introductionmentioning
confidence: 99%
“…Magnetospheric measures that certainly would be of interest if they became available for extended periods of time are measures of the state of the plasmasphere, the state of the electron plasma sheet, the area of the polar cap, the dayside reconnection rate (measured from dayside ionospheric radars), the total radiation belt content (C.-L. Huang, private communication, August 31, 2015;Forsyth et al, 2016), a nightside stretching index (S. Wing, private communication, June 18, 2014), the mass composition of the magnetospheric plasmas, and the intensities of plasma waves in the magnetosphere (in particular electromagnetic ion cyclotron waves and whistler-mode chorus waves). Ionospheric measures that would be of interest if they became available are the ionospheric ion outflow rates from the polar cap and from the auroral zone (Welling et al, 2015;Wilson et al, 2004), the global total electron content (Emmert et al, 2017;Lin et al, 2017), the global Joule heating rate (Weimer, 2005;Zhang et al, 2005), and the Q-value of the Schumann resonance cavity (Fullenkrug et al, 2002;Toledo-Redondo et al, 2016). A storm time atmospheric measure that would be of interest for atmospheric drag if it became available is the thermospheric density (Rhoden et al, 2000;Vallardo & Finkleman, 2014).…”
Section: Advancing the Development Of Composite Indices For The Magnementioning
confidence: 99%