The NOAA Products Validation System (NPROVS)

Reale, Anthony; Sun, Bomin; Tilley, Franklin H.; Pettey, Michael

doi:10.1175/jtech-d-11-00072.1

Cited by 47 publications

(52 citation statements)

References 29 publications

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“…The lowest layer has an average relative RMSE of 30 %, whereas for the highest layer this is 107 %. Our results exhibit similar magnitudes to the results presented in Reale et al (2012), who compared humidity profiles from various satellite products, among them the NOAA ATOVS product (Reale et al, 2008), with the Global Telecommunication System radiosonde data and found typical values of 25-50 % below 400 hPa and of 100 % or more in the upper troposphere.…”

Section: Comparison To Guan Datasupporting

confidence: 89%

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The CM SAF ATOVS data record: overview of methodology and evaluation of total column water and profiles of tropospheric humidity

Courcoux

Schröder

2015

Earth Syst. Sci. Data

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Abstract. Recently, the reprocessed Advanced Television Infrared Observation Satellite (TIROS)-N Operational Vertical Sounder (ATOVS) tropospheric water vapour and temperature data record was released by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF). ATOVS observations from infrared and microwave sounders onboard the National Oceanic and Atmospheric Agency (NOAA)-15-19 satellites and EUMETSAT's Meteorological Operational (Metop-A) satellite have been consistently reprocessed to generate 13 years (1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011) of global water vapour and temperature daily and monthly means with a spatial resolution of 90 km × 90 km. The data set is referenced under the following digital object identifier (DOI): doi:10.5676/EUM_SAF_CM/WVT_ATOVS/V001. After preprocessing, a maximum likelihood solution scheme was applied to the observations to simultaneously infer temperature and water vapour profiles. In a postprocessing step, an objective interpolation method (Kriging) was applied to allow for gap filling. The product suite includes total precipitable water vapour (TPW), layer-integrated precipitable water vapour (LPW) and layer mean temperature for five tropospheric layers between the surface and 200 hPa, as well as specific humidity and temperature at six tropospheric levels between 1000 and 200 hPa. To our knowledge, this is the first time that the ATOVS record (1998-now) has been consistently reprocessed (1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011) to retrieve water vapour.TPW and LPW products were compared to corresponding products from the Global Climate Observing System (GCOS) Upper-Air Network (GUAN) radiosonde observations and from the Atmospheric Infrared Sounder (AIRS) version 5 satellite data record. TPW shows a good agreement with the GUAN radiosonde data: average bias and root mean square error (RMSE) are −0.2 and 3.3 kg m −2 , respectively. For LPW, the maximum absolute (relative) bias and RMSE values decrease (increase) strongly with height. The maximum bias and RMSE are found at the lowest layer and are −0.7 and 2.5 kg m −2 , respectively. While the RMSE relative to AIRS is generally smaller, the TPW bias relative to AIRS is larger, with dominant contributions from precipitating areas. The consistently reprocessed ATOVS data record exhibits improved quality and stability relative to the operational CM SAF products when compared to the TPW from GUAN radiosonde data over the period 2004-2011. Finally, it became evident that the change in the number of satellites used for the retrieval combined with the use of the Kriging leads to breakpoints in the ATOVS data record; therefore, a variability analysis of the data record is not recommended for the time period from

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Section: Comparison To Guan Datasupporting

confidence: 89%

“…AIRS, IASI and CrIS retrievals are described in, for example, Susskind et al (2011), August et al (2014), and Gambacorta et al (2012). Examples of evaluation results for water vapour products from ATOVS and hyperspectral instruments can be found in, for example, Bedka et al (2010), Reale et al (2012) and Divakarla et al (2014).…”

Section: Introductionmentioning

confidence: 99%

The CM SAF ATOVS data record: overview of methodology and evaluation of total column water and profiles of tropospheric humidity

Courcoux

Schröder

2015

Earth Syst. Sci. Data

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“…However, because of the exact same reason, satellite data over the ocean are not well calibrated and validated. NOAA Products Validation System (NPROVS; Reale et al 2012) provides a daily compilation and archive of collocated conventional radiosonde (raob) and environmental satellite (SAT) products, which include dropsonde (DROP) observations routinely available for assimilation into NOAA/National Centers for Environmental Prediction (NCEP) GFS forecast models. Wang et al (2013) used NPROVS to collocate 10 satellite products with the unprecedented dropsonde data collected during the 2010 Concordiasi field experiment over Antarctica to validate satellite products.…”

Section: Scientific Highlightsmentioning

confidence: 99%

A Long-Term, High-Quality, High-Vertical-Resolution GPS Dropsonde Dataset for Hurricane and Other Studies

Wang

Young

Hock

et al. 2015

Bulletin of the American Meteorological Society

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A GPS dropsonde is a scientific instrument deployed from research and operational aircraft that descends through the atmosphere by a parachute. The dropsonde provides high-quality, high-vertical-resolution profiles of atmospheric pressure, temperature, relative humidity, wind speed, and direction from the aircraft flight level to the surface over oceans and remote areas. Since 1996, GPS dropsondes have been routinely dropped during hurricane reconnaissance and surveillance flights to help predict hurricane track and intensity. From 1996 to 2012, NOAA has dropped 13,681 dropsondes inside hurricane eye walls or in the surrounding environment for 120 tropical cyclones (TCs). All NOAA dropsonde data have been collected, reformatted to one format, and consistently and carefully quality controlled using state-of-the-art quality-control (QC) tools. Three value-added products, the vertical air velocity and the radius and azimuth angle of each dropsonde location, are generated and added to the dataset. As a result, a long-term (1996–2012), high-quality, high-vertical-resolution (∼5–15 m) GPS dropsonde dataset is created and made readily available for public access. The dropsonde data collected during hurricane reconnaissance and surveillance flights have improved TC-track and TC-intensity forecasts significantly. The impact of dropsonde data on hurricane studies is summarized. The scientific applications of this long-term dropsonde dataset are highlighted, including characterizing TC structures, studying TC environmental interactions, identifying surface-based ducts in the hurricane environment that affect electromagnetic wave propagation, and validating satellite temperature and humidity profiling products.

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“…The satellite calibration and validation (cal/ val) community has been identified as a key group of users of GRUAN data products. In support of satellite cal/val, since July 2014 the NOAA Products Validation System (NPROVS; Reale et al 2012) has routinely processed satellite collocations with measurements at GRUAN sites. The specific use of the measurement uncertainties available with the GRUAN reference observations provides significant advantages in validation.…”

Section: What Observational Data Products and Services Is Gruan Provimentioning

confidence: 99%

Reference Upper-Air Observations for Climate: From Concept to Reality

Bodeker

Bojinski

Cimini

et al. 2016

Bulletin of the American Meteorological Society

100

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The three main objectives of the Global Climate Observing System (GCOS) Reference Upper-Air Network (GRUAN) are to provide long-term high-quality climate records of vertical profiles of selected essential climate variables (ECVs), to constrain and calibrate data from more spatially comprehensive global networks, and to provide measurements for process studies that permit an in-depth understanding of the properties of the atmospheric column. In the five years since the first GRUAN implementation and coordination meeting and the printing of an article (Seidel et al.) in this publication, GRUAN has matured to become a functioning network that provides reference-quality observations to a community of users. This article describes the achievements within GRUAN over the past five years toward making reference-quality observations of upper-air ECVs. Milestones in the evolution of GRUAN are emphasized, including development of rigorous criteria for site certification and assessment, the formal certification of the first GRUAN sites, salient aspects of the GRUAN manual and guide to operations, public availability of GRUAN’s first data product, outcomes of a network expansion workshop, and key results of scientific studies designed to provide a sound scientific foundation for GRUAN operations. Two defining attributes of GRUAN are 1) that every measurement is accompanied by a traceable estimate of the measurement uncertainty and 2) that data quality and continuity are maximized because network changes are minimized and managed. This article summarizes how these imperatives are being achieved for existing and planned data products and provides an outlook for the future, including expected new data streams, network expansion, and critical needs for the ongoing success of GRUAN.

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The NOAA Products Validation System (NPROVS)

Cited by 47 publications

References 29 publications

The CM SAF ATOVS data record: overview of methodology and evaluation of total column water and profiles of tropospheric humidity

The CM SAF ATOVS data record: overview of methodology and evaluation of total column water and profiles of tropospheric humidity

A Long-Term, High-Quality, High-Vertical-Resolution GPS Dropsonde Dataset for Hurricane and Other Studies

Reference Upper-Air Observations for Climate: From Concept to Reality

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