| UNAVCO
 


Knowledge Base

SuomiNet Efforts in the U.S. Southern Great Plains (paper, year?)

SUOMINET EFFORTS IN THE U.S. SOUTHERN GREAT PLAINS

Randy A. Peppler
Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma

Frederick H. Carr
School of Meteorology, University of Oklahoma

Judson L. Ahern
School of Geology and Geophysics, University of Oklahoma

James C. Liljegren and Richard C. Eagan
Argonne National Laboratory

Jesse J. Smith
Aeromet, Inc.

1. INTRODUCTION

SuomiNet (Ware et al. 2000) is a university-based, real-time, national network of Global Positioning System (GPS) installations established in 2000 for geosciences research and education, with funding from the National Science Foundation and cost sharing from collaborating universities. The network exploits the ability of groundbased GPS receivers to make atmospheric measurements, including integrated water vapor. The University of Oklahoma (OU), in partnership with the U.S. DOE Atmospheric Radiation Measurement (ARM) Program, is establishing geodetic quality SuomiNet receivers over the next year at 15 ARM Southern Great Plains (SGP) extended facilities (EFs) located throughout Oklahoma and Kansas and at one Oklahoma Mesonet (Brock et al. 1995) weather station in central Oklahoma.

The establishment and scientific applicability of the SuomiNet sites within Oklahoma and Kansas will have several unique aspects. SuomiNet water vapor data will augment ARM’s suite of water vapor measurements, which includes a GPS micronet centered on the site’s central facility in northern Oklahoma, a number of microwave radiometers, a microwave profiler, a Raman lidar, an atmospheric emitted radiance interferometer, radiosondes, and various standard relative humidity devices located at ground level and on a 60-m tower. The ability to perform water vapor measurement intercomparison studies, conduct instrument development, and operate enhanced, short-term water vapor experiments over the region will be greatly enhanced by SuomiNet’s dual-frequency GPS receivers. These high quality receivers, along with co-located surface meteorological data, will allow direct measurement of wet delay and, therefore, total slantpath water vapor. The average station spacing is 50-60 km, thus providing a meso-beta scale horizontal distribution of integrated precipitable water.

Other unique aspects of the SGP deployment will be the use of ruggedized laptop computers to collect the GPS data and push them to SuomiNet computers using local Internet Service Providers (ISPs). The OU’s School of Meteorology and Center for the Analysis and Prediction of Storms (CAPS) will evaluate the potential of using the suite of water vapor measurements to improve the skill of numerical weather forecast models. OU scientists in the School of Geology and Geophysics will use the data to conduct plate tectonics studies.


[See attached .pdf file for more.]

Attached Files (1)
Comments
There are no comments for this article. Be the first to post a comment.
Name
Email
Security Code Security Code
Related Articles RSS Feed
SuomiNet - Site Wireless Configuration
Viewed 1600 times since Thu, Dec 17, 2009
SuomiNet Trimble 4700 Firmware
Viewed 2597 times since Thu, Oct 30, 2008
Impact of GPS-Based Water Vapor Fields on Mesoscale Model Forecasts (presentation)
Viewed 30262 times since Wed, Dec 30, 2009
SuomiNet - Cost Share Confirmation Letter
Viewed 1015 times since Wed, Dec 30, 2009
SuomiNet - Site Configurations
Viewed 2205 times since Wed, Dec 30, 2009
SuomiNet - FreeWave Wireless Communication Link
Viewed 1746 times since Wed, Dec 30, 2009
SuomiNet R Utilities for Linux
Viewed 1374 times since Thu, Oct 30, 2008
GPS Receiver and Antenna Testing Report for SuomiNet (2000)
Viewed 4252 times since Wed, Mar 24, 2010
Winstream - SuomiNet R Utilities for Windows Platform
Viewed 1377 times since Thu, Oct 30, 2008
University NAVSTAR Consortium Support for SuomiNet, a GPS Network for Atmospheric Sensing (paper, year?)
Viewed 3563 times since Tue, Dec 15, 2009
MENU

Last modified: Monday, 12-May-2014 00:18:29 UTC