Observations From NOAA's Newest Solar Proton Sensor by B. T. Kress, J. V. Rodriguez, A. Boudouridis, T. G. Onsager, B. K. Dichter, G. E. Galica, S. Tsui

“…Abstract Space weather instrumentation on board the National Oceanic and Atmospheric Administration's (NOAA's) newest Geostationary Operational Environmental Satellite (GOES)‐R series includes the Solar and Galactic Proton Sensor (SGPS), which has been collecting data since January 8, 2017. …”
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NOAA Space Weather Prediction Center Radiation Advisories for the International Civil Aviation Organization by H. M. Bain, K. Copeland, T. G. Onsager, R. A. Steenburgh

“…Abstract The National Oceanic and Atmospheric Administration's Space Weather Prediction Center (NOAA/SWPC) issues several solar radiation storm products: the long standing proton Warnings and Alerts that are based on particle intensity levels observed by the Geostationary Operational Environmental Satellites; and the more recent International Civil Aviation Organization (ICAO) radiation advisories which specify effective dose rates at aviation flight levels. …”
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Zonas frías en el valle del Río Neuquén: su detección mediante imágenes NOAA-AVHRR by Marisa Gloria Cogliati

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ZONAS FRÍAS EN EL VALLE DEL RÍO NEUQUÉN: SU DETECCIÓN MEDIANTE IMÁGENES NOAA-AVHRR by Marisa Cogliati

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The thermal evaluation of snow line and identification of potential areas of snow falling in the Alborz Mountains with NOAA-AVHRR images by Dariush Yarahmadi, Amanolah fathnia, Mehdi Sherafat

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Estimating the Frequency of a Storm Event: How to Use NOAA Atlas 14 Point Precipitation Frequency Estimates by Young Gu Her, Eban Bean, Christopher Martinez

“… This article introduces NOAA Atlas 14 and explains how to use it to help Extension agents and the general public estimate the frequency of any storm event of interest. …”
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A Study of NOAA-20 VIIRS Band M1 (0.41 µm) Striping over Clear-Sky Ocean by Wenhui Wang, Changyong Cao, Slawomir Blonski, Xi Shao

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Asesmen Kekeringan Meteorologi dengan Metode China Z Index (CZI) dan Standarized Precipitation Index (SPI) di DAS Sampean Baru, Kabupaten Bondowoso by Billy Satria Nanda Satria, Gusfan Halik, Entin Hidayah

Subjects: “…penilaian kekeringan, noaa, czi, spi, sampean baru…”
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Impact of Using Near Real-Time Green Vegetation Fraction in Noah Land Surface Model of NOAA NCEP on Numerical Weather Predictions by Li Fang, Xiwu Zhan, Christopher R. Hain, Jicheng Liu

“…Green vegetation fraction (GVF) is one of the input parameters of the Noah land surface model (LSM) that is the land component of a number of operational numerical weather prediction (NWP) models at the National Centers for Environmental Prediction (NCEP) of NOAA. The Noah LSM in current NCEP operational NWP models has been using static multiyear averages of monthly GVF derived from satellite observations of NOAA Advanced Very High Resolution Radiometer (AVHRR) normalized difference vegetation index. …”
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Statistique appliquée aux images NOAA pour le suivi du couvert végétal des bassins versants d'Aghien et de la Mé by Zamblé Armand Tra Bi, Djibril Noufé, Bamory Kamagaté, Kôkôh Rose Effebi, Yemou Jeanne N’tain, Seydou Diallo, Fabrice Nguetta, Karoui Hela, Droh Laciné Goné, Jean Louis, Luc Séguis

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Relación entre los índices de vegetación obtenidos de los sensores AVHRR del satélite NOAA y TM del Landsat by Jesús Soria Ruiz, Rebeca Granados Ramírez

“…El objetivo de este trabajo fuerelacionar y explicar las variaciones de losíndices de vegetación de diferencianormalizada (NDVI) obtenidos de las imágenesde los satélites Landsat-TM y NOAA-AVHRR. Serealizó una comparación entre los valores deNDVI obtenidos en ambas imágenes con dosescenas de un área cultivada de maíz en elestado de Guanajuato. …”
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Automatic Threshold Selection for Generalized Pareto and Pareto–Poisson Distributions in Rainfall Analysis: A Case Study Using the NOAA NCDC Daily Rainfall Database by Roberto Mínguez

“…The proposed method outperforms existing approaches in terms of accuracy, as demonstrated through numerical experiments and its application to real-world data from the NOAA NCDC Daily Rainfall Database. Results indicate that the method not only improves threshold estimation precision but also enhances the reliability of extreme-value analysis for precipitation records, making it a valuable tool for hydrological applications. …”
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Implementing an Outgoing Longwave Radiation Climate Dataset from Fengyun 3E Satellite Data with a Machine-Learning Algorithm by Yanjiao Wang, Feng Yan

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Vessel strike encounter risk model informs mortality risk for endangered North Atlantic right whales along the United States east coast by Hannah Blondin, Lance P. Garrison, Jeffrey D. Adams, Jason J. Roberts, Caroline P. Good, Meghan P. Gahm, Niki E. Lisi, Eric M. Patterson

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Data Assimilation in Numerical Weather and Climate Models by Shaoqing Zhang, Guijun Han, Yuanfu Xie, Juan Jose Ruiz

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Modelling the Impacts of Climate Change on the Yield of Crops by Oluwaseun Ayodele Ilesanmi, Philip Gbenro Oguntunde, Obafemi Olutola Olubanjo

“…Soybean, increase in yield are 2.81% (P<0.01), 5.84% (P<0.001), 11.38 (P<0.001) and 9.06% (P<0.001) for ICHEC, MIROC, NOAA and NCC respectively. …”
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Correcting the Arcjet Thruster Disturbance in GOES‐16 Magnetometer Data by S. Califf, D. Early, M. Grotenhuis, T. M. Loto'aniu, J. Kronenwetter

“…Abstract The GOES‐R series magnetometers provide observations of the Earth's magnetic field at geostationary orbit for operational use by National Oceanic and Atmospheric Administration (NOAA)'s Space Weather Prediction Center. The GOES‐R spacecraft use arcjet thrusters for orbital stationkeeping, and the partially ionized thruster plume creates a relatively large (~20 nT) disturbance in the magnetometer data. …”
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Toward an integrated pantropical ocean observing system by Gregory R. Foltz, Yassir A. Eddebbar, Janet Sprintall, Antonietta Capotondi, Antonietta Capotondi, Sophie Cravatte, Sophie Cravatte, Peter Brandt, Peter Brandt, Adrienne J. Sutton, Tamaryn Morris, Juliet Hermes, Juliet Hermes, Clive R. McMahon, Michael J. McPhaden, Lev B. Looney, Lev B. Looney, Lev B. Looney, Franz Philip Tuchen, Franz Philip Tuchen, Mathew Koll Roxy, Fan Wang, Fei Chai, Regina R. Rodrigues, Belen Rodriguez-Fonseca, Belen Rodriguez-Fonseca, Aneesh C. Subramanian, Marcus Dengler, Cheyenne Stienbarger, Kathleen Bailey, Weidong Yu

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An updated regional model skill assessment for seasonal and interannual variability of bottom temperature across the eastern Bering Sea shelf by Kelly A. Kearney, Phyllis J. Stabeno, Albert J. Hermann, Albert J. Hermann, Calvin W. Mordy, Calvin W. Mordy

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Assessments of F16 Special Sensor Microwave Imager and Sounder Antenna Temperatures at Lower Atmospheric Sounding Channels by Banghua Yan, Fuzhong Weng

“…When compared against radiative transfer model simulations and simultaneous observations from AMSU-A aboard NOAA-16, the SSMIS antenna temperatures at 52.8, 53.6, 54.4, 55.5, 57.3, and 59.4 GHz after the anomaly correction exhibit small residual errors (<0.5 K). …”
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