Ground-Based Global Positioning System (GPS) Meteorology Integrated Precipitable Water Vapor (IPW)
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title: Ground-Based Global Positioning System (GPS) Meteorology Integrated Precipitable Water Vapor (IPW)
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date: 2002-04-01
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individualName: Holub, Kirk
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individualName: Gutman, Seth
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abstract: The Ground-Based Global Positioning System (GPS) Meteorology Integrated Precipitable Water Vapor (IPW) data set measures atmospheric water vapor using ground-based GPS receivers. The data contain observations from several hundred locations around the globe every 30 minutes from 2002-05-01 to 2016-11-28. However, most locations lie within the continental United States. The data set was formed in response to the need for improved moisture observations to support weather forecasting, climate monitoring, and research. The data set contains total precipitable water estimates, GPS total signal delay, GPS hydrostatic signal delay, GPS wet signal delay, surface temperature, surface pressure, mean-weighted surface temperature, and the wet delay mapping function. The GPS-IPW network processes data from both NOAA and other agency CORS (Continuously Operating Reference Sites) sites. All sites are equipped with a GPS receiver and many are equipped with a surface meteorological instrumentation package. GPS satellite observation are combined with GPS satellite orbit and earth orientation parameters to estimate GPS signal delay (Zenith Total Delay -- ZTD). Signal delays are then combined with surface meteorological information are used to estimate total precipitable water. For sites without surface meteorology sensors, data from nearby ASOS (Automated Surface Observing System) systems were used. Data set variables and their resolution: total precipitable water; 0.001 m, GPS total signal delay; 0.001m, GPS hydrostatic signal delay; 0.001m, GPS wet signal delay; 0.001m, surface temperature; 0.1 K, surface pressure; 0.1 hpa, mean-weighted surface temperature; 0.1 K, wet delay mapping function; 0.1 (dimensionless). Late updated in November 2016 with no plans for updating at this time due to funding.
purpose: The primary uses for the data set are to demonstrate the major aspects of an operational GPS integrated precipitable water vapor (IPW) monitoring system, facilitate assessments of the impact of these data on weather forecasts, assist in the transition of these techniques to operational use, and encourage the use of GPS meteorology for atmospheric research and other applications.
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fileDescription: A 30 day time series of integrated precipitable water vapor (IPW) estimated at Boulder, CO and Blacksburg, VA
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keyword: Earth Science
keyword: Earth Science > Atmosphere
keyword: Earth Science > Atmospheric Water Vapor
keyword: Earth Science > Precipitable Water
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useLimitation: There are no known limitations to the dataset's usability. The system is all-weather; limited only by power at and communications with the CORS sites.
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otherConstraints: Cite as: Holub, Kirk L. and Gutman, Seth I. (2016):Ground-Based Global Positioning System (GPS) Meteorology, Version 1.0. NOAA National Centers for Environmental Information (NCEI). doi:10.7289/V5DR2SHD [access date].
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otherConstraints: Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
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title: Rapid Retrieval and Assimilation of Ground Based GPS Precipitable Water Observations at the NOAA Forecast Systems Laboratory: Impact on Weather Forecasts
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date: 2004-04-30
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name: Rapid Retrieval and Assimilation of Ground Based GPS Precipitable Water Observations at the NOAA Forecast Systems Laboratory: Impact on Weather Forecasts
description: Science paper describing the processing of the data.
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language: eng; USA
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environmentDescription: The network is controlled by a software system developed by ESRL/GSD in conjunction with the Scripps Institution of Oceanography (SIO) and the University of Hawaii at Manoa (UH). GPS precise predicted orbits from Scripps Orbit and Permanent Array Center (SOPAC) and data from individual sites (GPS and MET) are continuously downloaded by a server. At the beginning of a processing cycle, several processing nodes download the GPS data and predicted orbits for selected sites from the server. The GAMIT (GPS at MIT [http://www-gpsg.mit.edu/~simon/gtgk]) software package provided by the Massachusetts Institute of Technology (MIT) processes this data and produces Tropospheric Signal Delay (ZTD) values (illustrated below.) These values are then processed with Meteorology data from the sites to produce and Integrated Precipitable Water Values (IPW) which are then distributed to interested parties and made available online. The processing system incorporates an 8 hour sliding window technique, with two processing cycles for each hour starting at 02 and 32 minutes after the hour. Each cycle produces 16 individual IPW for each half hour within the sliding window. As the 8 hour sliding window progresses throughout the day, more IPW are produced for each half hour until that particular half hour is no longer within the sliding window. This produces a possibility of 16 values for each half hour. Within each half hour, two IPW are available, a first guess and median value. The first guess IPW is the first value for the half hour meeting the quality control criteria. The median IPW is the median of all results for that particular half hour. This result can be the median of 1 to 16 values depending upon quality control criteria.
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description: ground condition
beginPosition: 2002-04-01
endPosition: 2016-11-29
timeInterval: 30
supplementalInformation: The near real-time estimates of IPW have a resolution is 30 minutes. They are based on GPS signal delay estimates and surface pressure and temperature observations.
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statement: The purpose of the National Oceanic and Atmospheric Administration's (NOAA) Ground-Based GPS-IPW project (gpsmet) was to: Evaluate the engineering and scientific bases of surface-based GPS meteorology; demonstrate the feasibility and utility of using surface-based GPS observations for improved weather forecasting, climate monitoring, and satellite sensor calibration/validation; transfer this observing system technology to operational use. The Global Systems Division (GSD) Demonstration Branch (DB) (now Global Systems Division [GSD]) established the world's first GPS network dedicated to atmospheric remote sensing in 1994. This project was a collaboration between NOAA Research and several organizations and institutions including: NOAA's National Geodetic Survey (NGS) which manages the network of Continuously Operating Reference Stations (CORS); including some of the GSD/DB GPS-IPW network sites, NOAA's National Data Buoy Center (NDBC), The U.S. Department of Transportation Federal Highway Administration (DOT), The U.S. Coast Guard (USCG) International GPS Service (IGS) which maintains global network of tracking sites; including some of the GSD/DB GPS-IPW network sites, Scripps Institution of Oceanography (SIO) University of Hawaii at Manoa (UHhttp://lumahai.soest.hawaii.edu/Dept/meteorology/index.html), UNAVCO (UNAVCO) The Department of Energy Atmospheric Radiation Measurement (ARM) Program. All processing software and products used or created by the gpsmet processing system reside on GSD systems or at NCEI archives.
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description: Estimation of IPW required two components; an estimate of ZTD and observations of the surface pressure and temperature. Estimation of ZTD began the acquiring GPS observation data from a collection of GPS CORS sites. These observations were used as inputs, along with earth orientation parameters (OEP) and internal terrestrial reference frame (ITRF) parameters, by GAMIT to estimate ZTD. Once ZTD had been estimated it separated into two components, wet and dry, using surface meteorological data. In the final step IPW was estimated by applying an empirical mapping parameter to the the estimated wet component.
rationale: Estimation of IPW required two components; an estimate of ZTD and observations of the surface pressure and temperature. ZTD cannot be directly observed by the GPS receivers. It must be obtained by processing the GPS observations.
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title: A NEW COMPOSITE OBSERVING SYSTEM STRATEGY FOR GROUND-BASED GPS METEOROLOGY
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name: A NEW COMPOSITE OBSERVING SYSTEM STRATEGY FOR GROUND-BASED GPS METEOROLOGY
description: Presented at AMS 12th Symposium on Meteorological Observations and Instrumentation
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description: See Algorithm Citation
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description: GPS carrier phase observations
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title: GPS carrier phase observation
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date: 1994-01-01
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linkage: http://aviationweather.gov/adds/dataserver_current/current/
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description: surface meteorological observation from ASOS sites
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other: NOAA National Centers for Environmental Information
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description: NOAA created the National Centers for Environmental Information (NCEI) by merging NOAA's National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC), and National Oceanographic Data Center (NODC), including the National Coastal Data Development Center (NCDDC), per the Consolidated and Further Continuing Appropriations Act, 2015, Public Law 113-235. NCEI launched publicly on April 22, 2015.
dateTime:
DateTime: 2015-04-22T00:00:00
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maintenanceNote: Bulk metadata change applied on 2023-06-23. See version control repository history for metadata change details.