5b.10 Initial Implementation of Super-resolution Data on the Nexrad Network

نویسندگان

  • Sebastián M. Torres
  • Christopher D. Curtis
  • Sebastián Torres
  • David L. Boren
چکیده

Legacy-resolution base data on the NEXRAD network consists of reflectivity on a 1 km-by-1 deg polar grid and Doppler velocity and spectrum width on a similar 250 m-by-1 deg grid. It has been shown through simulations that mesocyclone and tornado signatures can be detected at ranges 50% greater than the current detectable ranges using higher-resolution base data on a 250 m-by-0.5 deg grid (Brown el al. 2002). Data produced this way is termed super-resolution data. Super-resolution data will become available in upcoming updates of the NEXRAD network and should lead to increased warning times and reductions in property damage, injuries, and loss of life. Producing super-resolution data involves balancing the scientific and operational gains with the constraints imposed by the existing system and compatibility issues associated with other techniques scheduled for inclusion on the NEXRAD network (e.g., dual polarization). Due to the complexity of adding a new base data stream and the users’ urgency for better tools to detect tornado and mesocyclone signatures, super resolution will be phased into the NEXRAD network in two stages. Initially, super-resolution data will be available at the lower elevation scans where there is a higher likelihood of finding tornado and mesocyclone signatures at farther distances from the radar. Stage one of this project does not include modifying the algorithms in the Open Radar Product Generation (ORPG) subsystem to ingest super-resolution data. At this stage, super-resolution data will be available for visualization purposes only, and the algorithms will continue to operate on a legacy-resolution data stream. Stage two of this project focuses on long-term goals; that is, novel signal processing techniques will be implemented to produce super-resolution data with the required quality, and some of the ORPG algorithms will be modified so that the benefits of super-resolution data can be fully exploited. This paper describes the “stage-one” implementation of super-resolution data on the NEXRAD network scheduled for operational inclusion in 2008. Additionally, it presents an overview of the plans for the stage-two implementation.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Deep Model for Super-resolution Enhancement from a Single Image

This study presents a method to reconstruct a high-resolution image using a deep convolution neural network. We propose a deep model, entitled Deep Block Super Resolution (DBSR), by fusing the output features of a deep convolutional network and a shallow convolutional network. In this way, our model benefits from high frequency and low frequency features extracted from deep and shallow networks...

متن کامل

Improving Super-resolution Techniques via Employing Blurriness Information of the Image

Super-resolution (SR) is a technique that produces a high resolution (HR) image via employing a number of low resolution (LR) images from the same scene. One of the degradations that attenuates performance of the SR is the blurriness of the input LR images. In many previous works in the SR, the blurriness of the LR images is assumed to be due to the integral effect of the image sensor of the im...

متن کامل

Precipitation observations near 54 and 183 GHz using the NOAA-15 satellite

Promising agreement over land and sea has been obtained between NEXRAD 3-GHz radar observations of precipitation rate and retrievals based on simultaneous passive observations at 50–191 GHz from the Advanced Microwave Sounding Unit (AMSU) on the NOAA-15 meteorological satellite. A neural network with three hidden nodes and one linear output node operated on 15 km resolution data at 183 1 and 18...

متن کامل

Super-resolution of Defocus Blurred Images

Super-resolution is a process that combines information from some low-resolution images in order to produce an image with higher resolution. In most of the previous related work, the blurriness that is associated with low resolution images is assumed to be due to the integral effect of the acquisition device’s image sensor. However, in practice there are other sources of blurriness as well, inc...

متن کامل

GIS-based spatial precipitation estimation using next generation radar and raingauge data

Precipitation is one important input variable for land surface hydrologic and ecological models. Next Generation Radar (NEXRAD) can provide precipitation products that cover most of the conterminous United States at high resolution (approximately 4 km 4 km). There are two major issues concerning the application of NEXRAD data: 1) the lack of a NEXRAD geo-processing and geo-referring program and...

متن کامل

ذخیره در منابع من


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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006