567 research outputs found

    Applications of satellite and marine geodesy to operations in the ocean environment

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    The requirements for marine and satellite geodesy technology are assessed with emphasis on the development of marine geodesy. Various programs and missions for identification of the satellite geodesy technology applicable to marine geodesy are analyzed along with national and international marine programs to identify the roles of satellite/marine geodesy techniques for meeting the objectives of the programs and other objectives of national interest effectively. The case for marine geodesy is developed based on the extraction of requirements documented by authoritative technical industrial people, professional geodesists, government agency personnel, and applicable technology reports

    Interaction of marine geodesy, satellite technology and ocean physics

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    The possible applications of satellite technology in marine geodesy and geodetic related ocean physics were investigated. Four major problems were identified in the areas of geodesy and ocean physics: (1) geodetic positioning and control establishment; (2) sea surface topography and geoid determination; (3) geodetic applications to ocean physics; and (4) ground truth establishment. It was found that satellite technology can play a major role in their solution. For solution of the first problem, the use of satellite geodetic techniques, such as Doppler and C-band radar ranging, is demonstrated to fix the three-dimensional coordinates of marine geodetic control if multi-satellite passes are used. The second problem is shown to require the use of satellite altimetry, along with accurate knowledge of ocean-dynamics parameters such as sea state, ocean tides, and mean sea level. The use of both conventional and advanced satellite techniques appeared to be necessary to solve the third and fourth problems

    Research program of the Geodynamics Branch

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    This report is the Fourth Annual Summary of the Research Program of the Geodynamics Branch. The branch is located within the Laboratory for Terrestrial Physics of the Space and Earth Sciences Directorate of the Goddard Space Flight Center. The research activities of the branch staff cover a broad spectrum of geoscience disciplines including: tectonophysics, space geodesy, geopotential field modeling, and dynamic oceanography. The NASA programs which are supported by the work described in this document include the Geodynamics and Ocean Programs, the Crustal Dynamics Project and the proposed Ocean Topography Experiment (TOPEX). The reports highlight the investigations conducted by the Geodynamics Branch staff during calendar year 1985. The individual papers are grouped into chapters on Crustal Movements and Solid Earth Dynamics, Gravity Field Modeling and Sensing Techniques, and Sea Surface Topography. Further information on the activities of the branch or the particular research efforts described herein can be obtained through the branch office or from individual staff members

    The future of spaceborne altimetry. Oceans and climate change: A long-term strategy

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    The ocean circulation and polar ice sheet volumes provide important memory and control functions in the global climate. Their long term variations are unknown and need to be understood before meaningful appraisals of climate change can be made. Satellite altimetry is the only method for providing global information on the ocean circulation and ice sheet volume. A robust altimeter measurement program is planned which will initiate global observations of the ocean circulation and polar ice sheets. In order to provide useful data about the climate, these measurements must be continued with unbroken coverage into the next century. Herein, past results of the role of the ocean in the climate system is summarized, near term goals are outlined, and requirements and options are presented for future altimeter missions. There are three basic scientific objectives for the program: ocean circulation; polar ice sheets; and mean sea level change. The greatest scientific benefit will be achieved with a series of dedicated high precision altimeter spacecraft, for which the choice of orbit parameters and system accuracy are unencumbered by requirements of companion instruments

    Analysis of Satellite-to-Satellite Tracking (SST) and altimetry data from GEOS-C

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    Radar altimetry and satellite-to-satellite (SST) range and range rate tracking measurements were used to infer the exterior gravitational field of the earth and the structure of the geoid from GEOS-C metric data. Under the SST analysis, a direct point-by-point estimate of gravity disturbance by means of a recursive filter with backward smoothing was attempted but had to be forsaken because of poor convergence. The adopted representation consists of a more or less uniform grid of discrete masses at a depth of approximately 400 km from the earth's surface. The layer is superimposed on a spherical harmonics model. The procedure for smoothing the altimetry and inferring the fine-structured gravity field over the Atlantic test area is described. The local disturbances are represented by means of a density layer. The altimeter height biases were first estimated by a least squares adjustment at orbital crossover points. After taking out the bias, long wavelength contributions from GEM-6 as well as a calibration correction were subtracted. The residual heights were then represented by a mass distribution beneath the earth's surface

    Remote sensing for oceanography: Past, present, future

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    Oceanic dynamics was traditionally investigated by sampling from instruments in situ, yielding quantitative measurements that are intermittent in both space and time; the ocean is undersampled. The need to obtain proper sampling of the averaged quantities treated in analytical and numerical models is at present the most significant limitation on advances in physical oceanography. Within the past decade, many electromagnetic techniques for the study of the Earth and planets were applied to the study of the ocean. Now satellites promise nearly total coverage of the world's oceans using only a few days to a few weeks of observations. Both a review of the early and present techniques applied to satellite oceanography and a description of some future systems to be launched into orbit during the remainder of this century are presented. Both scientific and technologic capabilities are discussed

    Shape of the ocean surface and implications for the Earth's interior: GEOS-3 results

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    A new set of 1 deg x 1 deg mean free air anomalies was used to construct a gravimetric geoid by Stokes' formula for the Indian Ocean. Utilizing such 1 deg x 1 deg geoid comparisons were made with GEOS-3 radar altimeter estimates of geoid height. Most commonly there were constant offsets and long wavelength discrepancies between the two data sets; there were many probable causes including radial orbit error, scale errors in the geoid, or bias errors in altitude determination. Across the Aleutian Trench the 1 deg x 1 deg gravimetric geoids did not measure the entire depth of the geoid anomaly due to averaging over 1 deg squares and subsequent aliasing of the data. After adjustment of GEOS-3 data to eliminate long wavelength discrepancies, agreement between the altimeter geoid and gravimetric geoid was between 1.7 and 2.7 meters in rms errors. For purposes of geological interpretation, techniques were developed to directly compute the geoid anomaly over models of density within the Earth. In observing the results from satellite altimetry it was possible to identify geoid anomalies over different geologic features in the ocean. Examples and significant results are reported

    Altimetric system: Earth observing system. Volume 2h: Panel report

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    A rationale and recommendations for planning, implementing, and operating an altimetric system aboard the Earth observing system (Eos) spacecraft is provided. In keeping with the recommendations of the Eos Science and Mission Requirements Working Group, a complete altimetric system is defined that is capable of perpetuating the data set to be derived from TOPEX/Poseidon, enabling key scientific questions to be addressed. Since the scientific utility and technical maturity of spaceborne radar altimeters is well documented, the discussion is limited to highlighting those Eos-specific considerations that materially impact upon radar altimetric measurements

    ๋‹ค์ค‘ ์ธ๊ณต์œ„์„ฑ ์„ผ์„œ ๋ฐ ๊ธฐํ›„ ๋ชจ๋ธ์„ ํ™œ์šฉํ•œ ๋‚จ๊ทน ์–ผ์Œ ์งˆ๋Ÿ‰ ๋ณ€ํ™”์˜ ์ดํ•ด

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์‚ฌ๋ฒ”๋Œ€ํ•™ ๊ณผํ•™๊ต์œก๊ณผ(์ง€๊ตฌ๊ณผํ•™์ „๊ณต), 2021.8. ์„œ๊ธฐ์›.์ง€๋‚œ ์ˆ˜ ์‹ญ ๋…„ ๊ฐ„, ๋‚จ๊ทน์˜ ์–ผ์Œ ์งˆ๋Ÿ‰ ๋ณ€ํ™”์— ๋Œ€ํ•œ ์šฐ๋ฆฌ์˜ ์ง€์‹์€ ์ธ๊ณต์œ„์„ฑ ๊ด€์ธก๊ณผ ์ง€๊ตฌ ๋ฌผ๋ฆฌ ๋ชจ๋ธ๋ง ๊ธฐ์ˆ ์˜ ๋ฐœ์ „์— ์˜ํ•ด ๋น„์•ฝ์ ์œผ๋กœ ํ–ฅ์ƒ๋˜์–ด ์™”๋‹ค. ์ธ๊ณต์œ„์„ฑ ๊ด€์ธก์€ ์ง„ํ–‰์ค‘์ธ ๋‚จ๊ทน ์–ผ์Œ ์งˆ๋Ÿ‰ ์†์‹ค๊ณผ ๊ฐ€์†ํ™”๋ฅผ ์„ค๋ช…ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฉ”์ปค๋‹ˆ์ฆ˜๋“ค์„ ์ง€์†์ ์œผ๋กœ ์ œ์•ˆํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋“ค์„ ๊ณ ๋ คํ•œ ๋ชจ๋ธ๋ง์€ ๋ฏธ๋ž˜์— ์ง„ํ–‰๋  ๋‚จ๊ทน ๋น™ํ•˜ ์†์‹ค์„ ์ •๋Ÿ‰์ ์œผ๋กœ ์‚ฐ์ถœํ•˜๊ณ  ์žˆ๋‹ค. ํ˜„์žฌ์˜ ๊ด€์ธก๊ณผ ๋ชจ๋ธ๋ง ๋ชจ๋‘๋Š” ๋‚จ๊ทน์˜ ์–ผ์Œ ๋ฐฐ์ถœ์ด ํ–ฅํ›„์— ์ ์ฐจ ๊ฐ€์†ํ™” ๋  ๊ฒƒ์ด๋ผ๊ณ  ์˜ˆ์ธกํ•˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ฆ๊ฐ€์œจ์ด ์ง€์†๋œ๋‹ค๋ฉด, ๋‚จ๊ทน์€ ๊ฐ€๊นŒ์šด ๋ฏธ๋ž˜์— ํ•ด์ˆ˜๋ฉด ์ƒ์Šน์„ ์œ ๋ฐœ์‹œํ‚ค๋Š” ์ฒซ๋ฒˆ์งธ ๊ธฐ์—ฌ์ž๊ฐ€ ๋  ๊ฒƒ์ด๋‹ค. ๋‚จ๊ทน์—์„œ ๋ฐฐ์ถœ๋  ๋น™ํ•˜์˜ ์งˆ๋Ÿ‰์„ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ง„ํ–‰์ค‘์ธ ์–ผ์Œ ์งˆ๋Ÿ‰ ์†์‹ค์— ๋Œ€ํ•œ ์ง€์†์ ์ธ ๊ด€์ฐฐ๊ณผ ํ•จ๊ป˜, ๊ทธ๊ฒƒ์˜ ์›์ธ ๊ธฐ์ž‘์„ ๊ทœ๋ช…ํ•˜๋Š” ์ผ์ด ์š”๊ตฌ๋œ๋‹ค. ๋‚จ๊ทน์˜ ์–ผ์Œ ์งˆ๋Ÿ‰ ๋ณ€ํ™”๋Š” ๊ฐ ๋น™ํ•˜๋งˆ๋‹ค ๋น„๊ท ์งˆํ•˜๊ฒŒ ๋ฐœ์ƒํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ๊ฐœ๋ณ„ ๋น™ํ•˜์˜ ๋™๋ ฅํ•™์€ ๋Œ€๊ธฐ์™€ ํ•ด์–‘ ์ˆœํ™˜, ๊ทธ๋ฆฌ๊ณ  ๊ณ ์ฒด ์ง€๊ตฌ์˜ ๋ณ€๋™์„ฑ ๋“ฑ ๋‹ค์–‘ํ•œ ์ง€๊ตฌ ์‹œ์Šคํ…œ ๊ตฌ์„ฑ ์š”์†Œ๋“ค์˜ ์˜ํ–ฅ์„ ๋ฐ›๊ณ  ์žˆ๋‹ค. ๊ฐ ์š”์†Œ๋“ค์ด ์–ผ์Œ ์งˆ๋Ÿ‰ ๋ณ€ํ™”์— ๋ฏธ์น˜๋Š” ๋ฌผ๋ฆฌ์  ๊ธฐ์ž‘์„ ๋ณด๋‹ค ์ •ํ™•ํžˆ ์ดํ•ดํ•˜๊ณ , ๋ฏธ๋ž˜ ์งˆ๋Ÿ‰ ๋ณ€ํ™” ์˜ˆ์ธก์˜ ๋ถˆํ™•์‹ค์„ฑ์„ ํ•ด์†Œํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ด๋“ค์„ ์ด ๋ง๋ผํ•˜๋Š” ๋‹คํ•™์ œ๊ฐ„ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ์ด๋Ÿฌํ•œ ํ๋ฆ„์˜ ์ผํ™˜์œผ๋กœ, ๋ณธ ํ•™์œ„ ๋…ผ๋ฌธ์—์„œ๋Š” ๊ธฐํ›„ ๋ชจ๋ธ๋“ค๊ณผ ์›๊ฒฉ ํƒ์‚ฌ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋‚จ๊ทน์˜ ์–ผ์Œ ์งˆ๋Ÿ‰ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•œ ์„ธ ๊ฐœ์˜ ์—ฐ๊ตฌ๋“ค์ด ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ์ฒซ๋ฒˆ์งธ ์—ฐ๊ตฌ๋Š” ์–ผ์Œ ์งˆ๋Ÿ‰ ๋ณ€ํ™”์™€ ๊ฐ•์„ค๋Ÿ‰์˜ ๊ด€๊ณ„๋ฅผ ์กฐ์‚ฌํ•œ ๊ฒƒ์œผ๋กœ, ์ง€๊ตฌ ์‹œ์Šคํ…œ ๋‚ด์˜ ๊ธฐ๊ถŒ๊ณผ ๋น™๊ถŒ ๊ฐ„์˜ ์ƒํ˜ธ์ž‘์šฉ์— ๋Œ€ํ•ด ๋‹ค๋ฃจ๊ณ  ์žˆ๋‹ค. ์กฐ์‚ฌ ๊ฒฐ๊ณผ, ์ตœ๊ทผ ์ˆ˜ ์‹ญ ๋…„ ๊ฐ„ ๋ฐœ์ƒํ•œ ๋‚จ๊ทน์˜ ๊ฐ•์„ค์€ ์–ผ์Œ ์งˆ๋Ÿ‰ ๋ณ€ํ™”์˜ ๊ฒฝ๋…„ ๋ณ€๋™์„ฑ์˜ ๋Œ€๋ถ€๋ถ„์„ ์„ค๋ช…ํ•˜๊ณ  ์žˆ์—ˆ์œผ๋ฉฐ, ๋™ ์‹œ๊ธฐ ์ง„ํ–‰๋œ ๋‚จ๊ทน ์–ผ์Œ ์งˆ๋Ÿ‰ ์†์‹ค์˜ ๊ฐ€์†ํ™”์˜ ์•ฝ 30%๊ฐ€ ๊ฐ•์„ค๋Ÿ‰ ๋ณ€ํ™”์˜ ๊ธฐ์—ฌ์ž„์„ ๋ฐœ๊ฒฌํ•˜์˜€๋‹ค. ๋˜ํ•œ ์ถ”๊ฐ€์ ์ธ ํ†ต๊ณ„๋ถ„์„์„ ํ†ตํ•ด, ์ด๋Ÿฌํ•œ ๊ฐ•์„ค๋Ÿ‰ ๋ณ€ํ™”๊ฐ€ ๋‚จ๋ฐ˜๊ตฌ ๊ทน์ง„๋™ (Southern Annular Mode, SAM) ์ด๋ผ๊ณ  ๋ถˆ๋ฆฌ์šฐ๋Š” ๋‚จ๋ฐ˜๊ตฌ ๊ณ ์œ„๋„์˜ ์ฃผ๊ธฐ์  ๊ธฐํ›„๋ณ€ํ™”์™€ ๋ฐ€์ ‘ํ•œ ๊ด€๋ จ์ด ์žˆ์Œ๋„ ๋ฐœ๊ฒฌํ•˜์˜€๋‹ค. ๋‘ ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‚จ๊ทน ์–ผ์Œ ์งˆ๋Ÿ‰ ๋ณ€ํ™” ๊ด€์ธก์˜ ํ•ด์ƒ๋„๋ฅผ ๋†’์ด๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋Š” ๋น™ํ•˜ ๋™๋ ฅํ•™ ๋ชจ๋ธ๋“ค์˜ ์ดˆ๊ธฐ ์กฐ๊ฑด์„ ๋‹จ์ผ ๋น™ํ•˜์™€ ๊ฐ™์€ ์ž‘์€ ๊ทœ๋ชจ์—์„œ ํšจ๊ณผ์ ์œผ๋กœ ์ œ์•ฝํ•˜๊ธฐ ์œ„ํ•œ ๋ชฉ์ ์ด๋‹ค. ํ•ด์ƒ๋„ ์ฆ๊ฐ€๋ฅผ ์œ„ํ•ด, ์ธ๊ณต์œ„์„ฑ ์ค‘๋ ฅ๊ณ„์™€ ๊ณ ๋„๊ณ„ ๊ด€์ธก ๋ฐ์ดํ„ฐ๋ฅผ ์œตํ•ฉํ•˜๋Š” ์ƒˆ๋กœ์šด ์„ ํ˜• ์—ญ์‚ฐ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ์—ญ์‚ฐ๋ฒ•์˜ ์ ์šฉ ๊ฒฐ๊ณผ, ๋‚จ๊ทน ๋Œ€๋ฅ™ ์ „์ฒด์˜ ์–ผ์Œ ์งˆ๋Ÿ‰ ๋ณ€ํ™” (2003-2016) ๋ฅผ ์•ฝ 27km์˜ ๋†’์€ ๊ณต๊ฐ„ ํ•ด์ƒ๋„์™€ ํ•จ๊ป˜ ํ•œ ๋‹ฌ์˜ ์งง์€ ์ƒ˜ํ”Œ๋ง ๊ฐ„๊ฒฉ์œผ๋กœ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฐ์ถœํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ ๋งŒ๋“  ๋ฐ์ดํ„ฐ๋Š” ์ธ๊ณต์œ„์„ฑ ์ค‘๋ ฅ๊ณ„๋‚˜ ๊ณ ๋„๊ณ„๋ฅผ ๋…๋ฆฝ์ ์œผ๋กœ ํ™œ์šฉํ•˜๋Š” ๊ฒƒ์— ๋น„ํ•ด ๋” ๋†’์€ ์ •ํ™•๋„๋ฅผ ๊ฐ€์งˆ ๊ฒƒ์ด๋ผ ์ถ”์ธก๋œ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ์ƒˆ๋กœ์šด ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๊ณ„์‚ฐํ•œ ๋‚จ๊ทน์˜ ๋น™ํ•˜ ๋ณ„ ์งˆ๋Ÿ‰ ๋ณ€ํ™”๋Š” ๊ฐ ์„ผ์„œ๋ฅผ ๋”ฐ๋กœ ํ™œ์šฉํ•˜๋Š” ๊ฒƒ์— ๋น„ํ•ด, Input-Output ๋ฐฉ๋ฒ•์ด๋ผ๋Š” ๋…๋ฆฝ์ ์ธ ๊ด€์ธก ๊ฒฐ๊ณผ์™€ ๋” ๋†’์€ ์œ ์‚ฌ์„ฑ์„ ๋ณด์ด๊ณ  ์žˆ๋‹ค. ์„ธ ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‚จ๊ทน ๋น™ํ•˜ ํ•˜๋ถ€์˜ ๊ณ ์ฒด ์ง€๊ตฌ๊ฐ€ ์œ ๋ฐœํ•˜๋Š” ํ›„๋น™๊ธฐ ๋ฐ˜๋™ (Glacial Isostatic Adjustment, GIA) ํšจ๊ณผ๋ฅผ ์ถ”์ •ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋Š” ํ˜„์žฌ์˜ ๊ธฐ์ˆ ๋กœ ๊ด€์ธก์ด ๋ถˆ๊ฐ€๋Šฅํ•œ GIA ํšจ๊ณผ๊ฐ€ ์–ผ์Œ ์งˆ๋Ÿ‰ ๊ด€์ธก์— ๋ฏธ์น˜๋Š” ๋ถˆํ™•์‹ค์„ฑ๋ฅผ ๊ฒฝ๊ฐ์‹œํ‚ค๊ธฐ ์œ„ํ•œ ๋ชฉ์ ์œผ๋กœ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. GIAํšจ๊ณผ๋ฅผ ๋ถ„๋ฆฌ์‹œํ‚ค๊ธฐ ์œ„ํ•ด, ์•ž์„œ ์ˆ˜ํ–‰ํ•œ ๊ณ ํ•ด์ƒ๋„ ์งˆ๋Ÿ‰ ์ถ”์‚ฐ ๋ฐ์ดํ„ฐ์™€ ๋‹ค์ˆ˜์˜ ๊ธฐํ›„๋ชจ๋ธ์„ ์„œ๋กœ ๋น„๊ตํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ์„œ๋‚จ๊ทน ๋กœ์Šค ๋น™๋ถ• ๊ทผ์ฒ˜์— ์œ„์น˜ํ•œ ์บ  ๋น™๋ฅ˜ (Kamb Ice Stream) ํ•˜๋ถ€์˜ GIA ํšจ๊ณผ๊ฐ€ ํšจ๊ณผ์ ์œผ๋กœ ๋ถ„๋ฆฌ๋  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๊ณ„์‚ฐ ๊ฐ’์„ ์„ ํ–‰ ์—ฐ๊ตฌ์—์„œ ๊ฐœ๋ฐœ๋œ ํ›„๋น™๊ธฐ ๋ฐ˜๋™ ๋ชจ๋ธ๋“ค๊ณผ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, ๋Œ€๋ถ€๋ถ„์˜ ๋ชจ๋ธ๋“ค์ด ์บ  ๋น™๋ฅ˜์˜ ํ›„๋น™๊ธฐ ๋ฐ˜๋™์„ ๊ณผ๋Œ€์ถ”์ •ํ•˜๊ณ  ์žˆ์Œ๋„ ๋ฐœ๊ฒฌํ•˜์˜€๋‹ค. ํ˜„์กดํ•˜๋Š” ๋‹ค์ˆ˜์˜ GIA ๋ชจ๋ธ๋“ค์—์„œ ์บ  ๋น™๋ฅ˜ ํ•˜๋ถ€์˜ ํ›„๋น™๊ธฐ ๋ฐ˜๋™ ํšจ๊ณผ๊ฐ€ ๋‚จ๊ทน์—์„œ ๊ฐ€์žฅ ๋†’๊ฒŒ ๋ชจ์˜๋˜๊ณ  ์žˆ๋‹ค๋Š” ์‚ฌ์‹ค์„ ๊ฐ์•ˆํ•  ๋•Œ, ์ด ๋ฐœ๊ฒฌ์€ ๋ชจ๋ธ๋“ค์˜ ๋ถˆํ™•์‹ค์„ฑ์„ ์žฌ๊ณ ํ•œ๋‹ค๋Š” ์ ์—์„œ ๋‚จ๊ทน ์–ผ์Œ ์งˆ๋Ÿ‰ ๋ณ€ํ™”์— ๋Œ€ํ•œ ๊ธฐ์กด ๊ด€์ธก ๊ฒฐ๊ณผ์— ์‹œ์‚ฌํ•˜๋Š” ๋ฐ”๊ฐ€ ํฌ๋‹ค. ์„ธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ์ข…ํ•ฉํ•œ ๋‚จ๊ทน ๋น™ํ•˜ ๋ฐฐ์ถœ๋Ÿ‰ ์ถ”์ •๊ณผ ๊ทธ์— ๋”ฐ๋ฅธ ํ•ด์ˆ˜๋ฉด ์ƒ์Šน ์˜ˆ์ธก์ด ๋…ผ๋ฌธ์˜ ๋งˆ์ง€๋ง‰ ์žฅ์— ์ œ์‹œ๋˜์–ด ์žˆ๋‹ค. ์ด ๊ฒฐ๊ณผ๋Š” ๋Œ€๊ธฐ์™€ ๊ณ ์ฒด ์ง€๊ตฌ์˜ ๋ณ€๋™์„ฑ์„ ๊ณ ๋ คํ•จ๊ณผ ๋™์‹œ์—, ๊ฐœ๋ณ„ ๋น™ํ•˜์˜ ํ•ด์ˆ˜๋ฉด ์ƒ์Šน ๊ธฐ์—ฌ๋„๋ฅผ ์˜ˆ์ธกํ•˜์˜€๋‹ค๋Š” ์ ์—์„œ ์ด์ „์˜ ์—ฐ๊ตฌ๋“ค๊ณผ ์ฐจ๋ณ„๋œ๋‹ค.Over the past few decades, understanding of ice mass changes in Antarctica has been greatly improved by advances in satellite observation and geophysical modeling techniques. Satellite observations have clearly shown evidence of ongoing Antarctic ice mass loss, and numerical models have quantitatively estimated future ice mass loss. Both observation and modeling have found that Antarctic ice mass loss is accelerating and this would continue in the future. Within this century, Antarctica is expected to be the most important contributor to sea-level rise. To accurately predict Antarctic ice mass loss, continuous Antarctic observation is required, and the cause of Antarctic ice mass loss should be understood. Ice mass variations over Antarctic glaciers are determined by many factors, and their magnitudes differ significantly from glaciers to glaciers. Understanding ice mass variations at individual glaciers are important to project future Antarctic ice mass losses and subsequent sea level rise. Because glacier mass balances are affected by different physical mechanisms associated with atmospheric and oceanic circulations and solid earth deformation, multidisciplinary studies have been required for the accurate understanding of the interaction between Antarctic Ice Sheet (AIS) and the entire Earth system. In this dissertation, three studies are carried out using multiple climate models and remote sensing data to understand the current status of glacier mass balance in AIS. The first study examines the role of precipitation in AIS ice mass changes, identifying the interaction between atmosphere and cryosphere. It is found that the precipitation accounts for most of the inter-annual ice mass variability in recent decades and about 30% of the acceleration in contemporary ice mass loss can be explained by precipitation decrease. EOF analysis suggests that such precipitation variability is closely related to periodic climate change in the high altitude of the Southern Hemisphere, named Southern Annular Mode (SAM). After removing effects associated with precipitation decrease, Antarctic ice mass loss associated with glacier dynamics can be obtained. The second study is to develop a new method to improve the spatial resolution of the Antarctic ice mass change by combining two different satellite observations. Antarctic ice mass change in higher resolution can be estimated by a new linear inversion technique using satellite altimetry and gravimetry observations together. The new method provides monthly ice mass changes (2003-2016) for all Antarctic glaciers with a spatial resolution of 27 km. The high-resolution ice mass data agree better with the ice mass change from the Input-Output method than data conventionally obtained either from gravimetry or altimetry satellite. The third study estimates the Glacial Isostatic Adjustment (GIA) effect beneath the Antarctic glaciers. This aims to minimize the GIA error in ice mass observations. By comparing the high-resolution mass estimates with multiple climate models, the GIA effect beneath the Kamb Ice Stream (which is located near the Ross Ice Shelf in West Antarctica) is estimated. The estimated GIA effect is then compared with many GIA models. It is found that most of the GIA models overestimate the GIA effect at the Kamb Ice Stream. Given that a number of models simulate the highest GIA rate beneath the Kamb Ice Stream within Antarctic glaciers, this finding has significant implications to improve the accuracy of Antarctic ice mass change by reducing the GIA uncertainty. Lastly, we aggregate the results of the three studies to project the future mass loss of Antarctic glaciers. This result is distinct from previous studies in that it provides glacial-scale projections of ice mass changes based on ice dynamic effects after removing effects of precipitation and solid earth deformation from glacial-scale ice mass observations.Chapter 1. Introduction 1 Chapter 2. Backgrounds 5 2.1 Satellite gravimetry 5 2.1.1 Overview & Principle 5 2.1.2 Estimation of surface mass densities from GRACE gravity data 6 2.1.3 Spatial filtering 8 2.2 Satellite altimetry 11 2.2.1 Overview & Principle 11 2.2.2 Laser & radar altimetry 12 2.2.3 Data types 13 2.3 Least squares inversion 14 2.3.1 Simple least squares for linear inverse problem 14 2.3.2 Application of least square inversion to GRACE data 16 Chapter 3. Surface mass balance contributions to Antarctic ice mass change investigated by climate models and GRACE gravity data 19 3.1 Introduction 19 3.2 Data & Methods 20 3.2.1 Precipitation models 20 3.2.2 EOF analysis of SMB 21 3.2.3 REOF analysis of SMB 21 3.3 AIS SMB from 1979 to 2017 23 3.4 Observation of AIS SMB 29 3.5 Implications of SMB to present-day ice mass loss in AIS 34 3.6 Conclusion 35 Chapter 4. Estimation of high-resolution Antarctic ice mass balance using satellite gravimetry and altimetry 38 4.1 Introduction 38 4.2 Data 39 4.2.1 GRACE gravity data 39 4.2.2 Satellite altimetry data 40 4.3 Methods 43 4.3.1 Forward Modeling (FM) solution 43 4.3.2 Joint estimation using constrained linear deconvolution 46 4.3.3 Uncertainties 50 4.3.3.1 Uncertainty of GRACE observation 52 4.3.3.2 Uncertainty of FM solution 52 4.3.3.3 Uncertainty of altimetry-based mass loads 54 4.3.3.4 Uncertainty of CLD solution 57 4.4 High resolution Antarctic ice mass loads 59 4.5 AIS glacier mass balance 62 4.6 Conclusion 66 Chapter 5. Estimation of GIA effect beneath the Antarctic Glacier using multiple remote sensing and climate models 68 5.1 Introduction 68 5.2 Data & Method 69 5.2.1 Method 69 5.2.2 Basin boundary 71 5.2.3 SMB models 73 5.2.4 Mass densities from GRACE data 73 5.2.5 Mass densities from satellite altimetry data 74 5.2.6 High-resolution GRACE data and its sensitivity to GIA estimates 75 5.3 Result & Discussion 77 5.3.1 Estimated mass rates 77 5.3.2 GIA mass rate beneath the KIS 80 5.4 Conclusion 81 Chapter 6. Sea-level projections 82 Chapter 7. Conclusion 86 Appendix: Glacial mass variability calculated by satellite gravimetry, altimetry, and their joint estimation 89 References 112 Abstract in Korean 122๋ฐ•

    Development of a real time bistatic radar receiver using signals of opportunity

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    Passive bistatic radar remote sensing offers a novel method of monitoring the Earth\u27s surface by observing reflected signals of opportunity. The Global Positioning System (GPS) has been used as a source of signals for these observations and the scattering properties of GPS signals from rough surfaces are well understood. Recent work has extended GPS signal reflection observations and scattering models to include communications signals such as XM radio signals. However the communication signal reflectometry experiments to date have relied on collecting raw, high data-rate signals which are then post-processed after the end of the experiment. This thesis describes the development of a communication signal bistatic radar receiver which computes a real time correlation waveform, which can be used to retrieve measurements of the Earth\u27s surface. The real time bistatic receiver greatly reduces the quantity of data that must be stored to perform the remote sensing measurements, as well as offering immediate feedback. This expands the applications for the receiver to include space and bandwidth limited platforms such as aircraft and satellites. It also makes possible the adjustment of flight plans to the observed conditions. This real time receiver required the development of an FGPA based signal processor, along with the integration of commercial Satellite Digital Audio Radio System (SDARS) components. The resulting device was tested both in a lab environment as well on NOAA WP-3D and NASA WB-57 aircraft
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