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Stakeholder Driven Sensor Deployments to Characterize Chronic Coastal Flooding in Key West Florida
Published 2024-07-01“…Sensors recorded flooding even when NOAA water levels did not exceed the elevation or flooding thresholds set by the National Weather Service (NWS), indicating that NOAA water levels alone were not sufficient in predicting flooding. …”
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A Preliminary Assessment of the Impact of Assimilating Satellite Soil Moisture Data Products on NCEP Global Forecast System
Published 2018-01-01“…In this study, a preliminary test of assimilating satellite soil moisture data products from the NOAA-NESDIS Soil Moisture Operational Product System (SMOPS) into the NOAA-NCEP Global Forecast System (GFS) is conducted. …”
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A Neural Network Nonlinear Multimodel Ensemble to Improve Precipitation Forecasts over Continental US
Published 2012-01-01Get full text
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Variabilidad de la temperatura de superficies en el NW de la provincia de Neuquén a partir de informción satelital.
Published 2014-05-01“…La temperatura del aire presenta gran variabilidad espacial, principalmente en los valores mínimos, una idea de esta distribución puede asociarse a la temperatura de superficie que es obtenida a partir del análisis de imágenes NOAA-AVHRR. Este trabajo presenta el análisis de situaciones particulares de la temperatura de superficie de la zona NW de la Provincia de Neuquén utilizando imágenes de satélites NOAA en alta resolución (AVHRR) e imágenes LANDSAT de la región. …”
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VARIABILIDAD DE LA TEMPERATURA DE SUPERFICIES EN EL NW DE LA PROVINCIA DE NEUQUÉN A PARTIR DE INFORMCIÓN SATELITAL.
Published 2008-12-01“…La temperatura del aire presenta gran variabilidad espacial, principalmente en los valores mínimos, una idea de esta distribución puede asociarse a la temperatura de superficie que es obtenida a partir del análisis de imágenes NOAA-AVHRR. Este trabajo presenta el análisis de situaciones particulares de la temperatura de superficie de la zona NW de la Provincia de Neuquén utilizando imágenes de satélites NOAA en alta resolución (AVHRR) e imágenes LANDSAT de la región. …”
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Mixed Layer Depth Promotes Trophic Amplification on a Seasonal Scale
Published 2022-06-01Get full text
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Using Unsupervised and Supervised Machine Learning Methods to Correct Offset Anomalies in the GOES‐16 Magnetometer Data
Published 2021-12-01“…Abstract This study uses supervised and unsupervised machine learning (ML) methods to correct unwanted offsets observed in the NOAA GOES‐16 magnetometer data. All GOES satellites have an inboard and outboard magnetometer sensor mounted along a long boom. …”
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A Survey of Stakeholders to Determine Florida Sea Grant's 2006-2009 Programmatic Objectives for Coastal Communities and Water-Dependent Businesses
Published 2005-10-01“…Department of Commerce’s National Oceanic and Atmospheric Administration (NOAA), Grant No. NA16RG-2195. It was compiled and edited by Robert Swett and Susan Fann. …”
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A Survey of Stakeholders to Determine Florida Sea Grant's 2006-2009 Programmatic Objectives for Coastal Communities and Water-Dependent Businesses
Published 2005-10-01“…Department of Commerce’s National Oceanic and Atmospheric Administration (NOAA), Grant No. NA16RG-2195. It was compiled and edited by Robert Swett and Susan Fann. …”
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A High Throughput Method for Measuring Polycyclic Aromatic Hydrocarbons in Seafood Using QuEChERS Extraction and SBSE
Published 2015-01-01“…National Oceanic and Atmospheric Administration (NOAA) Method NMFS-NWFSC-59 2004 is currently used to quantitatively analyze seafood for polycyclic aromatic hydrocarbon (PAH) contamination, especially following events such as the Deepwater Horizon oil rig explosion that released millions of barrels of crude oil into the Gulf of Mexico. …”
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Advanced Data Assimilation and Predictability Studies on High-Impact Weather and Climate
Published 2010-01-01Get full text
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Assessment of a youth climate empowerment program: Climate READY
Published 2025-01-01“…NOAA-SEC-OED-2020-2006190). Most student participants (<span class="inline-formula">∼80</span> %) were from Title 1 high schools in low socio-economic communities vulnerable to extreme weather and environmental hazards in Palm Beach County, Florida (see definition in Appendix A). …”
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Intersatellite Comparisons of GOES Magnetic Field Measurements
Published 2024-05-01“…Abstract GOES‐16 and GOES‐17 are the first of NOAA's Geostationary Operational Environmental Satellite (GOES)‐R series of satellites. …”
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MagNet—A Data‐Science Competition to Predict Disturbance Storm‐Time Index (Dst) From Solar Wind Data
Published 2023-10-01“…The top models that met the evaluation criteria are operationally viable and retrainable and suitable for NOAA's operational needs. The paper summarizes the competition results and lessons learned.…”
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Storm-Scale Radar Data Assimilation and High Resolution NWP
Published 2014-01-01Get full text
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Can We Intercalibrate Satellite Measurements by Means of Data Assimilation? An Attempt on LEO Satellites
Published 2024-01-01“…We demonstrate our technique by intercalibrating the electron flux measurements of the National Oceanic and Atmospheric Administration (NOAA) Polar‐orbiting Operational Environmental Satellites (POES) NOAA‐15,‐16,‐17,‐18,‐19, and MetOp‐02 against Van Allen Probes observations from October 2012 to September 2013. …”
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PROSWIFT Bill and the 2020 Space Weather Operations and Research Infrastructure Workshop From the National Academies of Sciences, Engineering, and Medicine
Published 2020-10-01“…Senate in July 2020 and the House of Representative on 16 September; it directs NOAA to capture remote images of coronal mass ejections (CMEs) with the Space Weather Follow‐On at L1 (SWFO‐L1) mission. …”
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