Relevant bibliographies by topics / JTECH (Program)

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Academic literature on the topic 'JTECH (Program)'

Author: Grafiati
Published: 29 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "JTECH (Program)"

1

Knuteson, R. O., H. E. Revercomb, F. A. Best, et al. "Atmospheric Emitted Radiance Interferometer. Part I: Instrument Design." Journal of Atmospheric and Oceanic Technology 21, no. 12 (2004): 1763–76. http://dx.doi.org/10.1175/jtech-1662.1.

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Abstract A ground-based Fourier transform spectrometer has been developed to measure the atmospheric downwelling infrared radiance spectrum at the earth's surface with high absolute accuracy. The Atmospheric Emitted Radiance Interferometer (AERI) instrument was designed and fabricated by the University of Wisconsin Space Science and Engineering Center (UW-SSEC) for the Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Program. This paper emphasizes the key features of the UW-SSEC instrument design that contribute to meeting the AERI instrument requirements for the ARM Program.
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2

Knuteson, R. O., H. E. Revercomb, F. A. Best, et al. "Atmospheric Emitted Radiance Interferometer. Part II: Instrument Performance." Journal of Atmospheric and Oceanic Technology 21, no. 12 (2004): 1777–89. http://dx.doi.org/10.1175/jtech-1663.1.

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Abstract The Atmospheric Emitted Radiance Interferometer (AERI) instrument was developed for the Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Program by the University of Wisconsin Space Science and Engineering Center (UW-SSEC). The infrared emission spectra measured by the instrument have the sensitivity and absolute accuracy needed for atmospheric remote sensing and climate studies. The instrument design is described in a companion paper. This paper describes in detail the measured performance characteristics of the AERI instruments built for the ARM Program. In particu
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3

Cheng, Anne Ru, Tim Hau Lee, Hsin I. Ku, and Yi Wen Chen. "Quality Control Program for Real-Time Hourly Temperature Observation in Taiwan." Journal of Atmospheric and Oceanic Technology 33, no. 5 (2016): 953–76. http://dx.doi.org/10.1175/jtech-d-15-0005.1.

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AbstractThis paper introduces a quality control (QC) program for the real-time hourly land surface temperature observation developed by the Central Weather Bureau in Taiwan. There are three strategies involved. The first strategy is a range check scheme that inspects whether the observation falls inside the climatological limits of the station to screen out the obvious outliers. Limits are adjusted according to the station’s elevation. The second strategy is a spatial check scheme that scrutinizes whether the observation falls inside the derived confidence interval, according to the data from
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4

Roemmich, Dean, Jeffrey T. Sherman, Russ E. Davis, et al. "Deep SOLO: A Full-Depth Profiling Float for the Argo Program." Journal of Atmospheric and Oceanic Technology 36, no. 10 (2019): 1967–81. http://dx.doi.org/10.1175/jtech-d-19-0066.1.

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AbstractDeployment of Deep Argo regional pilot arrays is underway as a step toward a global array of 1250 surface-to-bottom profiling floats embedded in the upper-ocean (2000 m) Argo Program. Of the 80 active Deep Argo floats as of July 2019, 55 are Deep Sounding Oceanographic Lagrangian Observer (SOLO) 6000-m instruments, and the rest are composed of three additional models profiling to either 4000 or 6000 m. Early success of the Deep SOLO is owed partly to its evolution from the Core Argo SOLO-II. Here, Deep SOLO design choices are described, including the spherical glass pressure housing, t
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5

Tridon, Frédéric, Alessandro Battaglia, Pavlos Kollias, Edward Luke, and Christopher R. Williams. "Signal Postprocessing and Reflectivity Calibration of the Atmospheric Radiation Measurement Program 915-MHz Wind Profilers." Journal of Atmospheric and Oceanic Technology 30, no. 6 (2013): 1038–54. http://dx.doi.org/10.1175/jtech-d-12-00146.1.

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Abstract The Department of Energy Atmospheric Radiation Measurement (ARM) Program has recently initiated a new research avenue toward a better characterization of the transition from cloud to precipitation. Dual-wavelength techniques applied to millimeter-wavelength radars and a Rayleigh reference have a great potential for rain-rate retrievals directly from dual-wavelength ratio measurements. In this context, the recent reconfiguration of the ARM 915-MHz wind profilers in a vertically pointing mode makes these instruments the ideal candidate for providing the Rayleigh reflectivity/Doppler vel
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6

Leeper, Ronald D., Jared Rennie, and Michael A. Palecki. "Observational Perspectives from U.S. Climate Reference Network (USCRN) and Cooperative Observer Program (COOP) Network: Temperature and Precipitation Comparison." Journal of Atmospheric and Oceanic Technology 32, no. 4 (2015): 703–21. http://dx.doi.org/10.1175/jtech-d-14-00172.1.

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AbstractThe U.S. Cooperative Observer Program (COOP) network was formed in the early 1890s to provide daily observations of temperature and precipitation. However, manual observations from naturally aspirated temperature sensors and unshielded precipitation gauges often led to uncertainties in atmospheric measurements. Advancements in observational technology (ventilated temperature sensors, well-shielded precipitation gauges) and measurement techniques (automation and redundant sensors), which improve observation quality, were adopted by NOAA’s National Climatic Data Center (NCDC) into the es
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7

Tokay, Ali, Leo Pio D’Adderio, David B. Wolff, and Walter A. Petersen. "Development and Evaluation of the Raindrop Size Distribution Parameters for the NASA Global Precipitation Measurement Mission Ground Validation Program." Journal of Atmospheric and Oceanic Technology 37, no. 1 (2020): 115–28. http://dx.doi.org/10.1175/jtech-d-18-0071.1.

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AbstractThe National Aeronautics and Space Administration Global Precipitation Measurement (GPM) mission ground validation program uses dual-polarization radar moments to estimate raindrop size distribution (DSD) parameters, the mass-weighted mean drop diameter Dmass, and normalized intercept parameter NW, to validate the GPM Core Observatory–derived DSD parameters. The disdrometer-based Dmass and NW are derived through empirical relationships between Dmass and differential reflectivity ZDR, and between NW, reflectivity ZH, and Dmass. This study employs large datasets collected from two-dimens
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8

Demaria, Eleonora M. C., David C. Goodrich, and Kenneth E. Kunkel. "Evaluating the Reliability of the U.S. Cooperative Observer Program Precipitation Observations for Extreme Events Analysis Using the LTAR Network." Journal of Atmospheric and Oceanic Technology 36, no. 3 (2019): 317–32. http://dx.doi.org/10.1175/jtech-d-18-0128.1.

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AbstractThe detection and attribution of changes in precipitation characteristics relies on dense networks of rain gauges. In the United States, the COOP network is widely used for such studies even though there are reported inconsistencies due to changes in instruments and location, inadequate maintenance, dissimilar observation time, and the fact that measurements are made by a group of dedicated volunteers. Alternately, the Long-Term Agroecosystem Research (LTAR) network has been consistently and professionally measuring precipitation since the early 1930s. The purpose of this study is to c
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9

Martini, Kim I., David J. Murphy, Raymond W. Schmitt, and Nordeen G. Larson. "Corrections for Pumped SBE 41CP CTDs Determined from Stratified Tank Experiments." Journal of Atmospheric and Oceanic Technology 36, no. 4 (2019): 733–44. http://dx.doi.org/10.1175/jtech-d-18-0050.1.

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AbstractSea-Bird Scientific SBE 41CP CTDs are used on autonomous floats in the global Argo ocean observing program to measure the temperature and salinity of the upper ocean. While profiling, the sensors are subject to dynamic errors as they profile through vertical gradients. Applying dynamic corrections to the temperature and conductivity data reduces these errors and improves sensor accuracy. A series of laboratory experiments conducted in a stratified tank are used to characterize dynamic errors and determine corrections. The corrections are adapted for Argo floats, and recommendations for
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10

Seaman, Curtis J., Yoo-Jeong Noh, Steven D. Miller, Andrew K. Heidinger, and Daniel T. Lindsey. "Cloud-Base Height Estimation from VIIRS. Part I: Operational Algorithm Validation against CloudSat." Journal of Atmospheric and Oceanic Technology 34, no. 3 (2017): 567–83. http://dx.doi.org/10.1175/jtech-d-16-0109.1.

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AbstractThe operational VIIRS cloud-base height (CBH) product from the Suomi–National Polar-Orbiting Partnership (SNPP) satellite is compared against observations of CBH from the cloud profiling radar (CPR) on board CloudSat. Because of the orbits of SNPP and CloudSat, these instruments provide nearly simultaneous observations of the same locations on Earth for a ~4.5-h period every 2–3 days. The methodology by which VIIRS and CloudSat observations are spatially and temporally matched is outlined. Based on four 1-month evaluation periods representing each season from June 2014 to April 2015, s
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Books on the topic "JTECH (Program)"

1

National Science Foundation (U.S.). JTEC/WTEC program summary. Loyola College in Maryland, 1992.

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2

D, Oxender, Japanese Technology Evaluation Program, and United States. Dept. of Commerce., eds. Japanese Technology Evaluation Program (JTECH): Biotechnology panel final report. National Technical Information Service, 1985.

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3

D, Oxender, Japanese Technology Evaluation Program, and United States. Dept. of Commerce., eds. JTECH (Japanese Technology Evaluation Program) panel report on biotechnology in Japan. National Technical Information Service, 1985.

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4

J, Economy, and Japanese Technology Evaluation Program, eds. Japanese Technology Evaluation Program - JTECH panel report on advanced materials in Japan. National Technical Information Service, 1986.

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5

United States. Defense Advanced Research Projects Agency, National Science Foundation (U.S.), and JTECH (Program), eds. JTECH panel report on the Japanese Exploratory Research for Advanced Technology (ERATO) Program. Science Applications International Corp., 1988.

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6

Rogers, Patricia N. JTEC program summary. Edited by Japanese Technology Evaluation Center (Loyola College in Maryland), JTECH (Program), and National Science Foundation (U.S.). Loyola College in Maryland, 1991.

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7

M, Holdridge Geoffrey, JTECH (Program), WTEC (Program), JTEC (Program), and National Science Foundation (U.S.), eds. JTEC/WTEC Annual report and program summary 1993/94. Loyola College in Maryland, 1994.

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