SuomiNet Overview CSU Atmospheric Science September 25, 2013 Natalie Tourville CIRA.

Slides:

Advertisements

Similar presentations

Remote Automation and Monitoring: PLC or RTU. Key Points PLCs and RTUs are similar devices with somewhat differing functionality.

Advertisements

During spacecraft-level environmental testing, after all instruments were integrated, the government assembled a data clerk team to support test data collection.

Meteorological Observatory Lindenberg – Richard Assmann Observatory The GCOS Reference Upper Air Network.

SWEPOS™ – a Multi-purpose National Network of Reference Stations

Adjust pressures to common height using lapse rate -5.6 K/km and surface temperature. Interpolate GSOS pressure (offset -1.5 hr) to the time of the.

May 2004Iridium Users Workshop, Seattle National Data Buoy Center’s Experiences with Real-Time Data Retrieval from Remote Stations using Iridium; and Data.

Solar Disturbance of GPS Satellite Orbits Merita Halili Orhan Veliu 06 june 2008.

Measurements Calibration EGU06-A-05466/G7-1TH5P-0488 Atmospheric parameter comparisons at the Tsukuba and Kashima VLBI stations during the CONT05 VLBI.

NWS Needs and Requirements Related to Observations on Reservation Lands George Howard and Mike Staudenmaier National Weather Service - Flagstaff.

GPS Atmosphere Sounding, COPS/GOP, April 10, 2006 GPS Atmosphere Sounding J. Wickert, G. Dick, G. Gendt, M.Ramatschi, and M. Rothacher GeoForschungsZentrum.

GPS PWV Estimation and Support to UNSTABLE GPS PWV Estimation and Support to UNSTABLE S. Skone Dept. of Geomatics Engineering University of Calgary.

S. California Real Time GPS Networks

Georgia Automated Environmental Monitoring Network (AEMN) Established in 1991 Housed on UGA Griffin Campus in Department of Crop and Soil Sciences, College.

Meteorological Observatory Lindenberg – Richard Assmann Observatory The GCOS Reference Upper Air Network.

1 GNSS Reference Station Network Applications – Status and Vision Herbert Landau Trimble Munich, Germany January 2011.

The Hydrometeorology Testbed Network. 2 An AR-focused long-term observing network is being installed in CA as part of a MOA between CA-DWR, NOAA and Scripps.

Mehreen RIZVI GMAT Geopositioning

Trimble NetR8 GNSS Reference Receiver

Page 1 Pacific THORPEX Predictability, 6-7 June 2005© Crown copyright 2005 The THORPEX Interactive Grand Global Ensemble David Richardson Met Office, Exeter.

ARM Aerial Facilities BAECC Kickoff Meeting Feb Aircraft Data Local Share Drive ARM IOPshare (at Oak Ridge) ARM IOPshare (at Oak Ridge) Corrections.

Slide 1 Impact of GPS-Based Water Vapor Fields on Mesoscale Model Forecasts (5th Symposium on Integrated Observing Systems, Albuquerque, NM) Jonathan L.

An Integrated Meteorological Surface Observation System By Wan Mohd. Nazri Wan Daud Malaysian Meteorological Department Due to the increasing and evolving.

QUESTION: ARE CURRENT MET OBSERVATIONS ADEQUATE FOR URBAN APPLICATIONS? R. P. Hosker, Jr. NOAA-Air Resources Laboratory Atmospheric Turbulence & Diffusion.

Michael A. Palecki USCRN Science Project Manager National Climatic Data Center DOC/NOAA/NESDIS USCRN PROGRAM STATUS MARCH 3, United States Climate.

GLFE Status Meeting April 11-12, Presentation topics Deployment status Data quality control Data distribution NCEP meeting AirDat display work Icing.

THORPEX Interactive Grand Global Ensemble (TIGGE) China Meteorological Administration TIGGE-WG meeting, Boulder, June Progress on TIGGE Archive Center.

NATIONAL METEOROLOGICAL SERVICE PARTICIPATION IN NAME Fifth Meeting of the NAME Science Working Group Puerto Vallarta, Mexico Miguel Cortez-Vázquez.

TAMDAR AERIBAGO Validation Experiment (TAVE) - Memphis Wayne Feltz, Erik Olson, John Short, Sarah Bedka, Kristopher Bedka, Tim Wagner, and Scott Cultice.

HDF-EOS at NOAA/NESDIS NOAA / NESDIS / ORA orbit-net.nesdis.noaa.gov/arad2/MSPPS Huan Meng, Doug Moore, Limin Zhao, Ralph Ferraro NOAA / NESDIS.

IHOP Operations Plan, Chapter 7: Other Special Ground-Based Instrumentation Operation Frédéric Fabry et al. General overview Instrument deployment and.

RECENT ENHANCEMENTS TO THE CDDIS IGS Network Systems Workshop November 2-5, 1998 Annapolis, MD Carey E. Noll Manager, CDDIS NASA GSFC Greenbelt, MD.

Page 1© Crown copyright 2004 Development of a Ground Based GPS Network for the Near Real Time Measurement of Integrated Water Vapour (IWV) Jonathan Jones.

Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information.

Division of Nearshore Research Texas Coastal Ocean Observation Network Dr. Gary Jeffress Mr. James Rizzo October 2003.

ENEON first workshop Observing Europe: Networking the Earth Observation Networks in Europe September, Paris IIASA Ian McCallum ENEON first workshop.

MADIS Airlines for America Briefing Meteorological Assimilated Data Ingest System (MADIS) FPAW Briefing Steve Pritchett NWS Aircraft Based Observations.

IHOP_2002 DATA MANAGEMENT UPDATE Steve Williams UCAR/Joint Office for Science Support (JOSS) Boulder, Colorado 2 nd International IHOP_2002 Science Workshop.

06-1L ASTRO-E2 ASTRO-E2 User Group - 14 February, 2005 Astro-E2 Archive Lorella Angelini/HEASARC.

Meteorological Observatory Lindenberg Results of the Measurement Strategy of the GCOS Reference Upper Air Network (GRUAN) Holger Vömel, GRUAN.

Implementation and Processing outline Processing Framework of VIIRS instrument monitoring System Processing Framework of VIIRS EV data Monitoring SD/SDSM.

USCRN Documentation Objective An accessible, timely and complete historical reference for the U. S. Climate Reference Network.

Meteorological Observatory Lindenberg – Richard Assmann Observatory (2010) GCOS Reference Upper Air Network Holger Vömel Meteorological Observatory Lindenberg.

CIRA / SPoRT Update 10/31/12 1 Update: “A Multisensor 4-D Blended Water Vapor Product for Weather Forecasting” Stan Kidder John Forsythe Andy Jones.

Deutscher Wetterdienst Lindenberg Meteorological Observatory Richard Assmann Observatory Michael Sommer GRUAN Lead Centre, DWD 2 nd GRUAN Implementation.

Layered Water Vapor Quick Guide by NASA / SPoRT and CIRA Why is the Layered Water Vapor Product important? Water vapor is essential for creating clouds,

1 Transiting Exoplanet Survey Satellite Daryl Swade Archive Team Meeting June 16, 2014.

STEREO Science Center Status Report William Thompson NASA Goddard Space Flight Center STEREO SWG November 2007 Pasadena, California.

AMSR-E Vapor and Cloud Validation Atmospheric Water Vapor –In Situ Data Radiosondes –Calibration differences between different radiosonde manufactures.

Asia Flood Network— A USAID Program for Flood Mitigation and Preparedness in Asia Asia Flood Network Program Objective –Identify and fill gaps in end-to-end.

Drakkar Calibration The Drakkar microwave radiometer Calibrating Drakkar The Calibrated Data Future Work Delft, October 2004 Anne Armstrong (CETP/LMD)

End-to-End Data Services A Few Personal Thoughts Unidata Staff Meeting 2 September 2009.

Using TIGGE Data to Understand Systematic Errors of Atmospheric River Forecasts G. Wick, T. Hamill, P. Neiman, and F.M. Ralph NOAA Earth System Research.

Data Management System to Collect, Quality Control, Distribute, and Archive Near Real-time Marine Data Jeremy J. Rolph, Jacob T. Rettig, Mark A. Bourassa,

GPS Observations for Atmospheric Science Ground-based and Radio Occultation Observations for Weather, Climate and Ionosphere C. Rocken, S. Sokolovskiy,

The National Weather Service Goes Geospatial – Serving Weather Data on the Web Ken Waters Regional Scientist National Weather Service Pacific Region HQ.

Asas Penggunaan Alat Handheld GPS Berkejituan Tinggi Topcon GMS-2.

DOE ARM Calibration / Validation Instrumentation Data essentially available in real-time –ARM (Atmospheric Radiation Measurement) –CART (Cloud And Radiation.

GSICS Collaboration Servers a Vehicle for International Collaboration Status 2011 Peter Miu EUMETSAT.

AWRA – Open Water Data Initiative – Lightning Talk

Center for Atmospheric & Space Sciences

John Braun and Chris Rocken

Development and application of CDMA and OFC communication technology in ground based GPS sensor network in Northeast China Zhang Jingjiang Zhang Chaolin.

NPOESS Airborne Sounder Testbed (NAST)

2018 STCE Annual Meeting Surface UV radiation.

CEE 6440 GIS in Water Resources Fall 2004 Term Paper Presentation

GPS Instrumentation Specification and Performance

Texas Coastal Ocean Observation Network

Prototype Design Review

IHOP_2002 AERI INSTRUMENT SUMMARY

Commission on Instruments and Methods of Observation

Presentation transcript:

SuomiNet Overview CSU Atmospheric Science September 25, 2013 Natalie Tourville CIRA

Overview What is SuomiNet? Network Overview CSU Atmos Site – SA62 (previously SA07) SuomiNet Uses Example Images Data Access Visit the ATS Site

What is Suominet? Real time integrated atmospheric water vapor from GPS. Network of global stations taking measurements Provides total slant path water vapor retrievals Selected stations provide 3-D water vapor retrievals SuomiNet network started in 1990’s University driven, funded by NSF Water vapor is highly variable throughout the atmosphere and poorly characterized. In order to be useful for forecasting it must be available in near realtime. SuomiNet network was derived for this purpose… Improvements for short-term forecasting

Example Site GPS antenna Radio modem antenna GPS receiver/radio modem Solar Panel Battery backup Each station equipped with GPS receiver and power and network source. No additional infrastructure required.

Standard Site Configuration MET3 – Paroscientific (T, RH, P) Trimble GPS antenna Trimble GPS receiver

ATS Suominet Site Station started June 2001 Identified by SA07/SA62 Configuration #1 – Standard Atmospheric

Suominet Uses Water Vapor Short term weather forecasting Recent flooding events Augment ARM's suite of water vapor measurements Perform water vapor measurement intercomparison studies Validation Comparison of radar measurements in field campaigns Calibration of new instruments in the research field

PWV – Global & ATS

Accessing the Data Data ingested every 30 minutes Can be ingested every minute upon demand Raw and derived data products available Raw observations – rinex format Default format – netcdf available via ldm ascii text files LDM – local data manager Transfers data to Unidata in minutes FTP Suominet website

Summary Questions? Comments? Now tour the ATS Suominet site!