Utilization of WRF 3D Meteorological Data to Calculate Slant Total Delay for InSAR Atmospheric Correction

نویسندگان

چکیده

Abstract The atmosphere introduces excess delays into the synthetic aperture radar (SAR) signal trajectory, especially in troposphere. InSAR atmospheric correction methods include use of SAR data and external water vapor products. latter is more effective. However, since removal effects should delay products direction line sight (LOS), it necessary to convert zenith total slant LOS direction. Conventionally, divided by cosine average incident angles obtain phase delays. But this method could cause large errors because ignores horizontal gradient change small-scale vertical structure. These problems can be solved using three-dimensional simulated numerical models, case intense weather changes or complex terrain. few scholars paid attention application correction, computation complexity low efficiency. As requirement for higher accuracy introduction caused increasing incidence angles, significantly imperative make utmost method. Weather Research Forecast (WRF) model provide precipitate (PWV) refraction index at different levels three dimensions, then obtained removing effect on process. results demonstrate that 3D accurate improve surface deformation from technology.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Acquiring Atmospheric Meteorological Data

The main sources of meteorological data at high altitudes are radiosondes and Aircraft Meteorological Data Relay (AMDAR) data [1]. Mode-select (Mode-S) radars are capable of getting similar readings from aircraft as AMDAR; however, this source of meteorological data has not been used systematically so far. In this article, we analyze the meteorological data obtained by means of Mode-S radars an...

متن کامل

Meteorological Modeling Using the WRF-ARW Model for Grand Bay Intensive Studies of Atmospheric Mercury

Measurements at the Grand Bay National Estuarine Research Reserve support a range of research activities aimed at improving the understanding of the atmospheric fate and transport of mercury. Routine monitoring was enhanced by two intensive measurement periods conducted at the site in summer 2010 and spring 2011. Detailed meteorological data are required to properly represent the weather condit...

متن کامل

Atmospheric delay analysis from GPS meteorology and InSAR APS

Radar atmospheric decorrelation due to inhomogeneity of atmospheric refractivity is a critical limitation of satellite SAR interferometry (InSAR) in the high accuracy retrieving of geophysical parameters. With mm precision, a water vapor tracing technique based on GPS meteorology was widely employed to mitigate InSAR atmospheric errors. However, a reliable comparison of atmospheric delay betwee...

متن کامل

Integration of Cgps and Ground Meteorological Observations for Mitigating Atmospheric Effects on Insar

Repeat-pass interferometric synthetic aperture radar (InSAR) has been demonstrated useful for topographic mapping and surface deformation measurement. However, the interferometric phases of satellite radar signals are often seriously contaminated by atmospheric effects. Due to the highly variable nature of the atmosphere, especially the atmospheric water vapor, it is usually difficult to accura...

متن کامل

metrics for the detection of changed buildings in 3d old vector maps using als data (case study: isfahan city)

هدف از این تحقیق، ارزیابی و بهبود متریک های موجود جهت تایید صحت نقشه های قدیمی سه بعدی برداری با استفاده از ابر نقطه حاصل از لیزر اسکن جدید شهر اصفهان می باشد . بنابراین ابر نقطه حاصل از لیزر اسکنر با چگالی حدودا سه نقطه در هر متر مربع جهت شناسایی عوارض تغییر کرده در نقشه های قدیمی سه بعدی استفاده شده است. تمرکز ما در این تحقیق بر روی ساختمان به عنوان یکی از اصلی ترین عارضه های شهری می باشد. من...

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Remote sensing in earth systems sciences

سال: 2021

ISSN: ['2520-8195', '2520-8209']

DOI: https://doi.org/10.1007/s41976-020-00043-w