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Flynn L.,National Oceanic and Atmospheric Administration | Rault D.,NASA | Jaross G.,SSAI | Petropavlovskikh I.,National Oceanic and Atmospheric Administration | And 6 more authors.
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2011

NOAA, through the Joint Polar Satellite System (JPSS) program, in partnership with National Aeronautical Space Administration (NASA), will launch the NPOESS Preparatory Project (NPP) satellite, a risk reduction and data continuity mission, prior to the first operational JPSS launch. The JPSS program will execute the NPP Calibration and Validation (Cal/Val) program to ensure the data products comply with the requirements of the sponsoring agencies. © 2011 IEEE.

Rahman A.,City College of New York | Kogan F.,National Oceanic and Atmospheric Administration | Roytman L.,City College of New York | Goldberg M.,National Oceanic and Atmospheric Administration | Guo W.,IMSG
International Journal of Remote Sensing | Year: 2011

Epidemic malaria cases and satellite-based vegetation health (VH) indices were investigated to be used as predictors of malaria vector activities in Bangladesh. The VH indices were derived from radiances, measured by the Advanced Very High Resolution Radiometer (AVHRR) on National Oceanic and Atmospheric Administration (NOAA) afternoon polar orbiting satellites. Two indices characterizing moisture and thermal conditions were investigated using correlation and regression analysis applied to the number of malaria cases recorded in the entire Bangladesh region and three administrative divisions (Chittagong, Sylhet and Dhaka) during 1992-2001. It is shown that during the cooler months (November to March), when mosquitoes are less active, the correlation between number of malaria cases and two investigated indices was near zero. From April, when the mosquito activity season starts, the correlation increased, reaching a maximum value of 0.5-0.8 by the middle of the high season (June to July), reducing thereafter to zero by the beginning of the cool season in November. Following these results, regressional equations for the number of malaria cases as a function of VH indices were built and tested independently. They showed that, in the main malaria administrative division (Chittagong) and the entire Bangladesh region, the regressional equations can be used for early prediction of malaria development. © 2011 Taylor & Francis.

News Article | February 15, 2017

NORFOLK, Va., Feb. 15, 2017 (GLOBE NEWSWIRE) -- Beaufort, a contract research organization (CRO) and consultancy, has obtained ISO 9001:2015 certification. The certification demonstrates that Beaufort provides consistently good quality services to the life sciences industry in its clinical research, regulatory affairs, quality, and staffing solutions.  “We are proud that Beaufort is one of very few CROs to obtain ISO certification,” said Beaufort President Clay Gill. “This certification reflects Beaufort’s rigorous dedication to meeting client requirements, upholding the highest quality standards, and continuously improving processes throughout our organization.” Gill continued, “Sponsors can be confident that their projects will be conducted with the highest quality management principles and process-driven methodologies.” ISO (International Organization for Standardization) is an independent, non-governmental worldwide federation that develops international standards. ISO 9001:2015, the latest edition of ISO’s flagship quality management systems standard, is a worldwide quality standard that helps organizations demonstrate that they offer products and services of consistently good quality. “We believe a well-structured quality system is critical to the success of our clients’ work. This ISO certification provides third party validation of our commitment to a quality-first approach and helps further set Beaufort apart from other CROs,” explained John R. Wilson Jr., PhD, MPH, Beaufort senior vice president of clinical development and quality solutions. To obtain ISO 9001:2015 certification, a firm must demonstrate that it: practices evidence-based decision making; addresses risks and opportunities in a methodical manner; and ensures that quality policy and quality objectives are established for the quality management system that are compatible with the context and strategic direction of the organization. Beaufort’s independent assessment and certification was performed by accredited registrar Integrated Management Systems Group (IMSG). About Beaufort, LLC Beaufort, LLC, is a contract research organization that provides in vitro diagnostic, medical device and biopharmaceutical clinical and regulatory services, and a full range of quality solutions and staffing solutions. For more than a decade, companies worldwide have trusted Beaufort for its client-oriented approach to research. With operations spanning the globe, Beaufort has a proven track record working closely with clients and regulatory agencies internationally to bring complex and therapeutic-specific products to market. Learn more at

Liang D.,IMSG | Weng F.,National Oceanic and Atmospheric Administration | Chen Y.,Colorado State University | Zhu T.,CIRA CSU NOAA NESDIS JCSDA
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2012

The Defense Meteorological Satellite Program's (DMSP) F-18 Special Sensor Microwave Imager/Sounder (SSMIS) brightness temperature difference (O-B) between observations and simulations from the Community Radiative Transfer Model (CRTM) based on 6 hour forecast fields of the National Centers for Environmental Prediction (NCEP) Global Forest System (GFS) are analyzed in this paper. It shows that after the current GSI bias correction, the O-B from SSMIS F-18 lower atmospheric sounding (LAS) channels are still significant and depend on nodes, seasons, latitudes and channels. © 2012 IEEE.

Kogan F.,National Oceanic and Atmospheric Administration | Goldberg M.,National Oceanic and Atmospheric Administration | Schott T.,National Oceanic and Atmospheric Administration | Guo W.,IMSG
International Journal of Remote Sensing | Year: 2015

Since 1990, the role of satellite observations for climate and land services increased considerably, especially with the introduction in 2011 of the new generation of NOAA operational satellites, called Suomi NPOSS Polar-Orbiting Partnership (S-NPP). S-NPP will continue as the Joint Polar Satellite System (JPSS) for the next two decades. The Visible Infrared Imaging Radiometer Suite (VIIRS) on the S-NPP spacecraft is accommodating the best technical and scientific features of its predecessors and has several new important features. S-NPP and JPSS, in addition to data collection, will address the impacts of climate and weather on industries, water, energy, population health, and other resources and activities. This article discusses how these operational satellites improve early drought detection, monitoring its features (intensity, duration, area, etc.) and prediction of agricultural losses; how fast the Earth’s natural resources deteriorate; and whether the current warm climate intensifies droughts and increases its area and duration. These climate services have already become available to the global community ( The S-NPP/VIIRS data permits its users to enhance long-term environmental data records, thereby improving the ability to estimate global warming, land-cover changes, and better monitoring of environmental resources. © 2015 Taylor & Francis.

De Pondeca M.S.F.V.,IMSG | De Pondeca M.S.F.V.,EMC | Manikin G.S.,EMC | Dimego G.,EMC | And 12 more authors.
Weather and Forecasting | Year: 2011

In 2006, the National Centers for Environmental Prediction (NCEP) implemented the Real-Time Mesoscale Analysis (RTMA) in collaboration with the Earth System Research Laboratory and the National Environmental, Satellite, and Data Information Service (NESDIS). In this work, a description of the RTMA applied to the 5-km resolution conterminous U.S. grid of the National Digital Forecast Database is given. Its two-dimensional variational data assimilation (2DVAR) component used to analyze near-surface observations is described in detail, and a brief discussion of the remapping of the NCEP stage II quantitative precipitation amount and NESDIS Geostationary Operational Environmental Satellite (GOES) sounder effective cloud amount to the 5-km grid is offered. Terrain-following background error covariances are used with the 2DVAR approach, which produces gridded fields of 2-m temperature, 2-m specific humidity, 2-m dewpoint, 10-m U and V wind components, and surface pressure. The estimate of the analysis uncertainty via the Lanczos method is briefly described. The strength of the 2DVAR is illustrated by (i) its ability to analyze a June 2007 cold temperature pool over the Washington, D.C., area; (ii) its fairly good analysis of a December 2008 mid-Atlantic region high-wind event that started from a very weak first guess; and (iii) its successful recovery of the finescale moisture features in a January 2010 case study over southern California. According to a cross-validation analysis for a 15-day period during November 2009, root-mean-square error improvements over the first guess range from 16% for wind speed to 45% for specific humidity. © 2011 American Meteorological Society.

Wu X.,National Oceanic and Atmospheric Administration | Qian H.,IMSG | Yu F.,ERT Inc. | Beck T.,National Oceanic and Atmospheric Administration
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2011

GOES Imager visible channel has no onboard calibration devices. While many methods of vicarious calibration exist, one of few viable options to render the calibration absolute is to make it traceable to MODIS. However, the spectral response function for the visible band of MODIS is very different from that of GOES Imager visible channel. In this study we use the hyperspectral data collected by GOME-2 to characterize the difference due to SRF under various conditions. It was found that this difference tends to be stable for bright clouds, although there are variations among GOES. This results offer guidance for target selection in inter-calibration with MODIS. © 2011 IEEE.

Niu J.,IMSG | Back T.C.,National Oceanic and Atmospheric Administration | Shohba K.,National Oceanic and Atmospheric Administration | Flynn L.E.,National Oceanic and Atmospheric Administration | Beach E.,IMSG
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2011

NOAA/NESDIS is implementing its own data processing for MetOP-A/GOME-2 observation. The retrieval method used for Nitrogen dioxide (NO 2) and Bromine monoxide (BrO) is the heritage EOS/OMI differential optical absorption spectroscopic (DOAS) method. To covert the slant column density (SCD) to the vertical column density (VCD) a differential air mass factor (dAmf) lookup table (LUT) is necessary. For the practical need, a NOAA version dAmf lookup table has been generated using a discrete ordinates radiative transfer model (DISORT). A thorough study of the algorithm, which computes air mass factor, has been conducted. It will be discussed in detail in this presentation. In this work, we first set up a DISORT model to simulate a real measurement, and then compute a six-dimensional table of dAmf for DOAS method. The computed LUT has been investigated and compared to that used in the OMI NO2B algorithm. © 2011 IEEE.

Cucurull L.,National Centers for Environmental Prediction | Cucurull L.,University Corporation for Atmospheric Research | Derber J.C.,National Centers for Environmental Prediction | Purser R.J.,IMSG
Journal of Geophysical Research: Atmospheres | Year: 2013

Applications for space-based GPS technology have extended to the atmospheric field during the last two decades. More recently, numerical weather prediction (NWP) centers started incorporating global positioning system (GPS) radio occultation (RO) soundings into their operational assimilation algorithms, resulting in a significant improvement in weather forecasting skill. The main reasons for such benefits are the unbiased nature of the GPS RO measurements, high accuracy and precision, all-weather capability, and equal accuracy over either land or ocean. Profiles of refractivity or bending angle are typically used, owing to the relative simplicity of their forward operators and the computational economy this implies. Although the NOAA National Centers for Environmental Prediction (NCEP) are using refractivities in their operational configuration, a bending angle forward operator has been developed, tested, and implemented and was scheduled to replace the assimilation of refractivities operationally in May, 2012. Results from the NCEP's bending angle method (NBAM) show improvement over the assimilation of refractivities in all atmospheric fields being evaluated. A detailed description and evaluation of NBAM is presented in this article, as well as the advantages this code offers over the assimilation of refractivities and other existing algorithms that assimilate GPS RO bending angles. Key-points implementation of a new forward operator for GPS RO assimilation benefits of the new forward operator detail analysis of the performance of the new forward operator. © 2012 American Geophysical Union. All Rights Reserved.

Das B.,IMSG | Wolf W.,College Park | Flynn L.,College Park | Caponi M.,Manhattan Associates | And 3 more authors.
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2015

The Ozone Mapping and Profiler Suite (OMPS) consisting of three instruments, a Nadir Mapper (OMPS-NM), a Nadir Profiler (OMPS-NP) and a limb Profiler (OMPS-LP) was launched aboard Suomi NPP satellite in 2011. The instrument is also planned to be aboard JPSS satellite. The data from this instrument is processed at Interface Data Processing Segment (IDPS) built by Raytheon. The main products from OMPS include Total Column Ozone and Ozone Profile. Algorithm Development Library (ADL) framework mimics IDPS system and is used to test, troubleshoot and integrate algorithm updates. The algorithm integration team (AIT) at NOAA STAR is tasked to integrate the algorithm updates in ADL that could be simply plugged in the operational system. In this paper we will present the process in detail and will discuss the results of the latest update of V8 algorithm from V6 algorithm for OMPS Nadir Profile instrument. © 2015 IEEE.

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