PPT-TEMPO hourly NO 2 sweep

Author : dollumbr | Published Date : 2020-06-23

111213 1 TEMPO footprint ground sample distance and field of regard Each 21 km 47 km pixel is a 2K element spectrum from 290 740 nm GEO platform selected

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "TEMPO hourly NO 2 sweep" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

TEMPO hourly NO 2 sweep: Transcript


111213 1 TEMPO footprint ground sample distance and field of regard Each 21 km 47 km pixel is a 2K element spectrum from 290 740 nm GEO platform selected by NASA for viewing Greater North America. HOURLY BAND RATE POSITION KEY DESCRIPTION FLSA-Nonexempt Level Hourly Band 1 $10.41 US-02 Unskilled: seasonal/summer work, student technicians Hourly Band 2 $11.74 8000099902Z0 Ro tery$tempo$attoo$ato$$opt tery$tempo$attoo$ato$$potTheegdelabelsarefactorsoftheinputstrings.Thustheycanbestoredinconstantspaceusingpointerstothestrings,whicharestoredseparately.Inafullycompacttrie,any Ground . Systems: . Cloud. Processing . . Ewan O’Sullivan. John C. Houck. SDPC Software Developers. May. 27, 2015. Cloud code development at SAO. Starting point: OMI Raman-scattering cloud code (OMCLDRR). Is one better than the other?. Employees. Workers are categorized not only by what they do, but also how they get paid.. One may be paid a salary, or one may be paid hourly.. Is one better than another?. The . G. reen . P. aper. Kelly Chance. Smithsonian Astrophysical. Observatory. 3. rd. TEMPO Science. Team Meeting. May 27, 2015. TEMPO . Green Paper. TEMPO is required to spend much of its observing time scanning the full field of regard (FOR) each hour, for as much of the daylight portion of the diurnal cycle as we can arrange (but certainly to 70. Status Update. IEPR Workshop on Inputs and Assumptions for IEPR Modeling and Forecasting Activities . February . 22. , 2017. Chris . Kavalec. and . Ravinderpal. . Vaid. Energy Assessments Division. 2. sweep. N.B. special operations. g. ive 10-minute resolution. f. or selected longitude. regions. 4/10/17. 1. 5. th. TEMPO. . Science Team Meeting. m. aterials at . tempo.si.edu. /. presentations.html. Joanna Joiner, Alexander . Vasilkov. , . Nick . Krotkov. , Sergey . Marchenko. , . Eun. -Su Yang, Sunny Choi (NASA GSFC). TEMPO Clouds: cloud optical centroid pressure and effective cloud fraction. Default baseline algorithm: OMI rotational-Raman algorithm . Unit . 3. 2. Vibrationdata. Sine Sweep Testing Purposes. Sine Sweep Testing of Components and Systems. Identify natural frequencies and amplification factors or damping . ratios. Perform sine sweep before and after random vibration test to determine if any parts loosened, etc.. Linear Potential Sweep Voltammetry. E(t). = . E. i. – . v. t. Ox ne. –. ⇄ Red. Supporting electrolyte present in excess to minimize migration.. Solution unstirred to min. convection.. O. 2. Unit . 3. 2. Vibrationdata. Sine Sweep Testing Purposes. Sine Sweep Testing of Components and Systems. Identify natural frequencies and amplification factors or damping ratios. Perform sine sweep before and after random vibration test to determine if any parts loosened, etc.. A . simulation . that results in a plot of specified voltages and/or currents in the circuit as a function of a particular variable. .. The variables that can be swept include the magnitude of a d.c. voltage or current source, temperature of the circuit (as most materials including resistors change their value as temperature changes), a model parameter – which might be the open loop gain of an op amp, and a global parameter, such as the magnitude of a variable defined using the PARAM part.. . Algorithm . to Infer Vertical Columns from Total Slant Columns. Randall . Martin (Dalhousie, SAO). with . contributions from. Nick . Krotkov. (NASA . Goddard), . Lok. . Lamsal. (NASA Goddard), . on Neighborhood Networks. Dongsu. Han. *. . , . Aditya. . Agarwala. *. , David Andersen. *. , . Michael . Kaminsky. . †. ,. . Dina . Papagiannaki. . †. , . Srinivasan. . Seshan. *. *. Carnegie Mellon University.

Download Document

Here is the link to download the presentation.
"TEMPO hourly NO 2 sweep"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents