Empirical Ionospheric Models from Worldwide Incoherent Scatter Radars Shun-Rong Zhang and John Holt MIT Haystack Observatory, USA Tony van Eyken EISCAT.

Slides:



Advertisements
Similar presentations
Modelling complexity in the upper atmosphere using GPS data Chris Budd, Cathryn Mitchell, Paul Spencer Bath Institute for Complex Systems, University of.
Advertisements

University of Bath 4D ionisation dynamics during storms of the recent solar maximum Cathryn Mitchell, Ping Yin, Paul Spencer and Dmitriy Pokhotelov, University.
Ionosphere Climate Studied by F3 / COSMIC Constellation C. H. Liu Academia Sinica In Collaboration with Tulasi Ram, C.H. Lin and S.Y. Su.
© Oxford University Press 2009 Part 7 Global warming─Are humans responsible? Quit 7.2What is the normal global distribution global distribution pattern.
Status of GNSS ionospheric Study in Korea
Solar Cycle Variations of Topside Electron Density and Temperature: Altitudinal, Latitudinal, and Seasonal Differences. D. Bilitza (1), P. Richards (2),
GEU 0047: Meteorology Lecture 3 Seasonal Cycle
The North East CIDR Array (NECA): A Chain of Ionospheric Tomography Receivers for Studying the Equatorward Edge of the Auroral Oval and the Mid-latitude.
Abstract Since the ionosphere is the interface between the Earth and space environments and impacts radio, television and satellite communication, it is.
Erasmus Mundus Master Course Space Master - Joint European Master in Space Science and Technology Special Lecture Course on Atmospheric and Ionospheric.
Ionospheric Electric Field Variations during Geomagnetic Storms Simulated using CMIT W. Wang 1, A. D. Richmond 1, J. Lei 1, A. G. Burns 1, M. Wiltberger.
The troposphere is the lowest region in the Earth's (or any planet's) atmosphere. On the Earth, it goes from ground (or water) level up to about 11 miles.
Groundbased meteor/dust observations Asta Pellinen-Wannberg Swedish Institute of Space Physics & Umeå University Department of Space Science.
N.V. Semenova Polar Geophysical Institute, Apatity, Russia.
Millstone Hill ISR, June 14-18, Ti, June 14-18, 2004.
1 Econometric Load Forecasting Peak and Energy Forecast 06/14/2005 Econometric Load Forecasting Peak and Energy Forecast 06/14/2005.
Retrieval of Dynamical Ionospheric Parameters through High-Latitude and Geosynchronous FUV Imaging T J Immel, S L England, S-H Park Space Sciences Laboratory,
Geospace Variability through the Solar Cycle John Foster MIT Haystack Observatory.
SOUSY Svalbard Radar for atmospheric research to study weather, winds, waves and turbulence in the polar region A contribution to understand Global Climate.
Julie A. Feldt CEDAR-GEM workshop June 26 th, 2011.
Millstone Hill Observatory Coordinated Research in the Atmospheric Sciences Haystack Observatory Millstone Hill Observatory Millstone Hill Radar.
UAFs Contribute To Major Science Programs Space Weather Global Change Space Missions.
Chapter 17 Notes: The Atmosphere. What is the Atmosphere? The atmosphere can be defined as the portion of planet earth that contains gas. Weather can.
CLIMATE CHANGE INDICATORS: UPPER ATMOSPHERE.  Global Temperatures  GHG emissions  Heat waves  Drought  Precipitation  Flooding  Cyclones  Sea.
The Virtual Solar-Terrestrial ObservatoryCEDAR Workshop, Fox, June 25, 2006 CEDAR Database update and Virtual Observatories Peter Fox HAO/ESSL/NCAR.
New Results on the Midnight Temperature Maximum for mid-latitudes R. Mesquita (1), J. Meriwether (1), S. Sanders (1), J. Makela (2), D. Fisher (2). SITELatitude.
UTSA Estimating Model Parameters from Ionospheric Reverse Engineering (EMPIRE) G. S. Bust and G. Crowley UTSA S. Datta-Barua ASTRA.
How does the Sun drive the dynamics of Earth’s thermosphere and ionosphere Wenbin Wang, Alan Burns, Liying Qian and Stan Solomon High Altitude Observatory.
TRENDS IN ATMOSPHERIC OZONE FROM A LONG-TERM OZONE CLIMATOLOGY Jane Liu 1,2, D. W. Tarasick 3, V. E. Fioletov 3, C. McLinden 3, J. H. Y. Jung 1, T. Zhao.
Jeff Forbes (CU), Xiaoli Zhang (CU), Sean Bruinsma (CNES), Jens Oberheide (Clemson U), Jason Leonard (CU) 1 Coupling to the Lower Atmosphere, an Observation-Based.
THE REACTION OF MID-LATITUDE IONOSPHERE ON STRONG IONOSPHERIC STORMS ON THE BASE OF THE EAST- SIBERIAN GROUND-BASED RADIO INSTRUMENT NETWORK DATA B.G.
Observations Of Temperature Gradient Instabilities In The Plasmapause Region Using The SuperDARN HF Wallops Radar And Millstone Hill CEDAR 2007 P. J. Erickson,
January 14, 2003GPS Meteorology Workshop1 Information from a Numerical Weather Model for Improving Atmosphere Delay Estimation in Geodesy Arthur Niell.
The Need for Technological and Scientific Collaboration: Arctic Upper Atmospheric Research John D Kelly SRI International.
CEDAR 2008 Workshop Observations at the Plasmaspheric Boundary Layer with the Mid-latitude SuperDARN radars Mike Ruohoniemi, Ray Greenwald, and Jo Baker.
Global E-region Densities Derived from Radio Occultation Measurements M. J. Nicolls 1, F. S Rodrigues 2, and G. S. Bust 2 1. SRI International, Menlo Park,
WIND Movement of air in the atmosphere.. Remember Convection Principles Solar energy strikes the _____________________, heating the air, land and water.
An Examination of “Parallel” and “Transition” Severe Weather/Flash Flood Events Kyle J. Pallozzi and Lance F. Bosart Department of Atmospheric and Environmental.
Greg Lucas Group Update 7/21/2014. TEA-IS Summer School.
Composition/Characterstics of the Atmosphere 80% Nitrogen, 20% Oxygen- treated as a perfect gas Lower atmosphere extends up to  50 km. Lower atmosphere.
Ionospheric Science, Models and Databases at Haystack Observatory
Upper Atmospheric Facilities. Components of the UAF Program Five incoherent scatter radar facilities Partial funding for SuperDARN Half of CEDAR Program*
Dawn-dusk asymmetry in the intensity of the polar cap flows as seen by the SuperDARN radars A.V. Koustov, R.A.D. Fiori, Z. Abooalizadeh PHYSICS AND ENGINEERING.
Climatic System Energy Budget, Energy Flow, Spatial Variation Angle of Solar Insolation.
Ionospheric Assimilation Model for Space Weather Monitoring and Forecasting I. T. Lee 1 W. H. Chen 2, T. Matsuo 3,4, C. H. Chang 2,
Climate and Global Change Notes 17-1 Earth’s Radiation & Energy Budget Resulting Seasonal and Daily Temperature Variations Vertical Temperature Variation.
COSMIC Ionospheric measurements Jiuhou Lei NCAR ASP/HAO Research review, Boulder, March 8, 2007.
Statistical Characterization of sub-auroral polarization stream using using large scale observations by mid- latitude SuperDARN radars B. S. R. Kunduri.
Postmidnight ionospheric trough in summer and link to solar wind: how, when and why? Mirela Voiculescu (1), T. Nygrén (2), A. Aikio(2), H. Vanhamäki (2)
The Atmosphere: Structure & Temperature. Atmosphere Characteristics Weather is constantly changing, and it refers to the state of the atmosphere at any.
Empirical Ionospheric Model Based on Saint Santin Incoherent Scatter Radar Data Angela Zalucha MIT Haystack Observatory/ University of Illinois at Urbana.
Global and Regional Total Electron Content Anthony Mannucci, Xing Meng, Panagiotis Vergados, Attila Komjathy JPL/Caltech Collaborators: Sarah E. McDonald,
European Geosciences Union, General Assembly Vienna | Austria | 23–28 April 2017 Seismic zoning (first approximation) using data of the main geomagnetic.
The Atmosphere: Structure & Temperature
S. Datta-Barua, Illinois Institute of Technology G. S. Bust, JHUAPL
Status of GNSS ionospheric Study in Korea
Heliosphere impact on geospace K. Kauristie, R. Harrison, A
Recent progress of WDC for Geophysics, Beijing
Ionospheric Models Levan Lomidze Center for Atmospheric and Space Sciences Utah State University CEDAR-GEM Student Workshop, June.
Center for Atmospheric & Space Sciences
Evidence for Dayside Interhemispheric Field-Aligned Currents During Strong IMF By Conditions Seen by SuperDARN Radars Joseph B.H. Baker, Bharat Kunduri.
Seasonal dependence of the nighttime traveling ionospheric disturbances in the mid-latitude ionosphere A.Saito1,2, M.C. Kelley1, T. Tsugawa2, J.J. Makela1,
Ionosphere, Magnetosphere and Thermosphere Anthea Coster
Effects of Dipole Tilt Angle on Geomagnetic Activities
European Geosciences Union, General Assembly Vienna | Austria | 23–28 April 2017 Seismic zoning (first approximation) using data of the main geomagnetic.
Solar Activity and Space Weather
A.V. Mikhailov(1), L. Perrone(2)
Evaluation of IRI-2012 by comparison with JASON-1 TEC and incoherent scatter radar observations during the solar minimum period Eun-Young Ji,
SP-UK-TRISTATIC Meso-scale ion-neutral coupling
M. Yamauchi1, T. Sergienko1, C. -F. Enell2, A. Schillings1, R
Presentation transcript:

Empirical Ionospheric Models from Worldwide Incoherent Scatter Radars Shun-Rong Zhang and John Holt MIT Haystack Observatory, USA Tony van Eyken EISCAT Association, Norway Mary McCready SRI International, USA Christine Amory-Mazaudier Centre for the Study of Earth and Planets Environments, CNRS, France Shoichiro Fukao Research Institute for Sustainable Humanosphere, Kyoto University, Japan Michael Sulzer Arecibo Observatory, National Astronomy & Ionosphere Center, Puerto Rico

Outline  ISR long-term database  Modeling technique  Results: local models A case study: Annual variations Comparisons with IRI Applications  Regional Models  ISR Convection Model  Model Availability  Future Projects

World Incoherent Scatter Radars

MADRIGAL: Long-term ISR Database

Madrigal

The European Chain: EISCAT Svalbard Radar (1997-), in polar cap, the highest latitude EISCAT Tromsø UHF radar (1984-) and VHF radar (1990-), St. Santin Radar ( ) East America Chain Sondrestrom Radar (1990-) Millstone Hill Radar (1970-) Arecibo Radar (1966-) East Asia MU Radar ( ) Existing Long-term Data

Binning and Fitting technique  Data are binned according to local time and month  Piece-wise linear height profile is used for initial data binning with height nodes.  Solar activity dependency is determined by a leaset-squares fit to a linear function to F107.  Median filter (3 months x 3 hours) is applied to the fitting coefficients.

Analytic representations of bin-fit results  Seasonal variations: harmonics with 12, 6 and 3 month components  Local time variations: harmonics with 24, 12, 6 and 3 hour components  Height variations: cubic B-spline with 17 breaks and gradient controls at upper and lower boundaries.

Height Profile

Height Profile Basis Function

Data Distribution

Results: Midday Ne Svalbard Millstone Arecibo Shigariki Curve Color Code Winter Spring Summer Autumn St. Santin Tromso Sondrestrom

Results : Latitudinal and Longitudinal features subauroral midlatitude highlatitude Semiannual components, longitudinal differences Strong semiannual components, asymmetry Semiannual components starts to occur Lower midlatitude

O/N2 and SZA change O/N2 (from MSIS)O/N2 x cos (SZA) SZA = solar zenith angle

Ti At Millstone, highest Ti occurs in May.

Yearly variations: Millstone

Yearly variations in midday Ti at 350 km: Millstone Circles: Data Dashed: Model Percentage difference Data - Model difference F107

Comparisons with IRI: diurnal AreMUStSMHTroSonSva Ne Ti Te Ne Ti Te Median solar activity conditions with F107=135 or Rz=88

Comparisons with IRI: profile AreMUStSMHTroSonSva Ne Ti Te Ne Ti Te Median solar activity conditions with F107=135 or Rz=88

Model Applications: Tn and [O] Using a simplified energy equations for ions (widely used in the ISR community for the neutral parameter deduction)

ISR Convection Model

Regional Ionospheric Models: Millstone Areas Millstone Regional Ionospheric Model covers geodetic latitudes degrees.

ISR Convection Model: data A Combined Dataset from Millstone and Sondrestrom ISRs Observations

ISR Convection Model: IMF Bz controls

ISR Model Availability  Virtual Incoherent Scatter Radars  Web interface  FTP OR

Virtual ISRs Virtual ISRs – current day

Virtual ISRs – current time

Future Projects  Regional ionospheric models for Eastern America longitudes European longitudes

A New Space Weather Project Multiple incoherent scatter radar long-term database study of upper atmosphere climatology and variability 1. to generate databases of thermospheric Tn, [O], winds for multiple ISRs; 2. to develop local and regional models of the thermospheric parameters; 3. to create variability models of the ionospheric as well as thermospheric parameters; 4. to study latitudinal/longitudinal features of the ionosphere and thermosphere.

Arecibo: Ne diurnal

Arecibo: Te diurnal

Arecibo: Ti diurnal

MU: Ne diurnal

Millstone: Ne diurnal

Millstone: Ti diurnal

Millstone: Te diurnal

St. Santin: Ne diurnal

St. Santin: Ti diurnal

St. Santin: Te diurnal

Tromso: Ne diurnal

Tromso: Ti diurnal

Tromso: Te diurnal

Sondrestrom: Ne diurnal

Sondrestrom: Ti diurnal

Sondrestrom: Te diurnal

Svalbard: Ne Diurnal

Svalbard: Ti Diurnal

Svalbard: Te Diurnal

Arecibo: Ne profile

Arecibo: Ti profile

Arecibo: Te profile

MU: Ne profile

Millstone: Ne profile

Millstone: Ti profile

Millstone: Te profile

St Santin: Ne profile

St Santin: Ti profile

St Santin: Te profile

Tromso: Ne profile

Tromso: Ti profile

Tromso: Te profile

Sondrestrom: Ne profile

Sondrestrom: Ti profile

Sondrestrom: Te profile

Svalbard: Ne profile

Svalbard: Ti profile

Svalbard: Te profile