کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5428802 1508690 2013 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Linearization of the Principal Component Analysis method for radiative transfer acceleration: Application to retrieval algorithms and sensitivity studies
ترجمه فارسی عنوان
خطی سازی روش تحلیل مولفه اصلی برای شتاب انتقال شعاعی: کاربرد الگوریتم بازیابی و مطالعات حساسیت
کلمات کلیدی
انتقال شعاعی، تجزیه و تحلیل اجزای اصلی، خطی سازی تحلیلی، افزایش عملکرد،
موضوعات مرتبط
مهندسی و علوم پایه شیمی طیف سنجی
چکیده انگلیسی


- Principal Component Analysis (PCA) of spectrally-binned atmospheric optical properties.
- PCA-based accelerated radiative transfer with 2-stream model for fast multiple-scatter.
- Atmospheric and surface property linearization of this PCA performance enhancement.
- Accuracy of PCA enhancement for radiances and bulk-property Jacobians, 290-340 nm.
- Application of PCA speed enhancement to UV backscatter total ozone retrievals.

Principal Component Analysis (PCA) is a promising tool for enhancing radiative transfer (RT) performance. When applied to binned optical property data sets, PCA exploits redundancy in the optical data, and restricts the number of full multiple-scatter calculations to those optical states corresponding to the most important principal components, yet still maintaining high accuracy in the radiance approximations. We show that the entire PCA RT enhancement process is analytically differentiable with respect to any atmospheric or surface parameter, thus allowing for accurate and fast approximations of Jacobian matrices, in addition to radiances. This linearization greatly extends the power and scope of the PCA method to many remote sensing retrieval applications and sensitivity studies. In the first example, we examine accuracy for PCA-derived UV-backscatter radiance and Jacobian fields over a 290-340 nm window. In a second application, we show that performance for UV-based total ozone column retrieval is considerably improved without compromising the accuracy.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Quantitative Spectroscopy and Radiative Transfer - Volume 125, August 2013, Pages 1-17
نویسندگان
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