A case study on multiresolution visualization of local rainfall from weather radar measurements

Gerstner,; Meetschen,; Crewel,; Griebel,; Simmer,

doi:10.1109/visual.2002.1183823

Cited by 7 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Gerstner et al [GMC*02] present a hybrid visualization system that overlays adaptive volumetric weather data representing atmospheric rainfall on an adaptive terrain data set to aid in the spatial analysis of the data. They treat these two hierarchies separately, and render the rainfall data as a series of transparent isosurfaces [Ger02] on top of the terrain data.…”

Section: Applications In Three Dimensionsmentioning

confidence: 99%

Simplex and Diamond Hierarchies: Models and Applications

Weiss

Floriani

2011

Computer Graphics Forum

View full text Add to dashboard Cite

Hierarchical spatial decompositions are a basic modeling tool in a variety of application domains. Several papers on this subject deal with hierarchical simplicial decompositions generated through simplex bisection. Such decompositions, originally developed for finite elements, are extensively used as the basis for multiresolution models of scalar fields, such as terrains, and static or time-varying volume data. They have also been used as an alternative to quadtrees and octrees as spatial access structures and in other applications. In this state of the art report, we distinguish between approaches that focus on a specific dimension and those that apply to all dimensions. The primary distinction among all such approaches is whether they treat the simplex or clusters of simplexes, called diamonds, as the modeling primitive. This leads to two classes of data structures and to different query approaches. We present the hierarchical models in a dimension-independent manner, and organize the description of the various applications, primarily interactive terrain rendering and isosurface extraction, according to the dimension of the domain.

show abstract

Section: Applications In Three Dimensionsmentioning

confidence: 99%

Simplex and Diamond Hierarchies: Models and Applications

Weiss

Floriani

2011

Computer Graphics Forum

View full text Add to dashboard Cite

show abstract

“…In [15], a multiresolution method is presented for visualizing weather radar data. In their method, a hierarchical structure of tetrahedral meshes is created upon the data.…”

Section: Previous Workmentioning

confidence: 99%

Interpolation And Visualization For Advected Scalar Fields

Ueng

Wang

VIS 05. IEEE Visualization, 2005.

View full text Add to dashboard Cite

Doppler radars are useful facilities for weather forecasting. The data sampled by using Doppler radars are used to measure the distributions and densities of rain drops, snow crystals, hail stones, or even insects in the atmosphere. In this paper, we propose to build up a graphics-based software system for visualizing Doppler radar data. In the system, the reflectivity data gathered by using Doppler radars are post-processed to generate virtual cloud images which reveal the densities of precipitation in the air. An optical flow based method is adopted to compute the velocities of clouds, advected by winds. Therefore, the movement of clouds is depicted. The cloud velocities are also used to interpolate reflectivities for arbitrary time steps. Therefore, the reflectivities at any time can be produced. Our system composes of three stages. At the first stage, the raw radar data are re-sampled and filtered to create a multiple resolution data structure, based on a pyramid structure. At the second stage, a numeric method is employed to compute cloud velocities in the air and to interpolate radar reflectivity data at given time steps. The radar reflectivity data and cloud velocities are displayed at the last stage. The reflectivities are rendered by using splatting methods to produce semi-transparent cloud images. Two kinds of media are created for analyzing the reflectivity data. The first kind media consists of a group of still images of clouds which displays the distribution and density of water in the air. The second type media is a short animation of cloud images to show the formation and movement of the clouds. To show the advection of clouds, the cloud velocities are displayed by using two dimensional images. In these images, the velocities are represented by arrows and superimposed on cloud images.To enhance image quality, gradients and diffusion of the radar data are computed and used in the rendering process. Therefore the cloud structures are better portrayed. In order to achieve interactive visualization, our system is also comprised with a view-dependent visualization module. The radar data at far distance are rendered in lower resolutions, while the data closer to the eye position is rendered in details.

show abstract

“…al. [55], where an multiresolution algorithms was proposed to improve the visualization efficiency by adaptively extracting and rendering isosurfaces from the volumetric database to meet the various requirements of the user in the level of resolutions. This method is further elaborated in a separate publication [56].…”

Section: Volumetric Data Visualizationmentioning

confidence: 99%

Investigation of spatial variations of rainfall rate using radar data

Jiang¹

View full text Add to dashboard Cite

Due to the need for an understanding of the rain structure and the effect of rainfall on the high frequency wireless communication links, several issues related to the characters of rainfall rates and rain attenuation in Singapore are studied. This will enable the development of a comprehensive rain attenuation model. The characteristics of a 2-dimensional Plan Position Indicator (PPI) rainfall rate database produced by meteorological RADAR system are studied. The discrepancies between the statistics of this database and that of the commonly adopted one-minute integrated rain data formats are analyzed. A simple framework for calibrating the PPI rain data to its one-minute counterparts is suggested based on the investigations. Highly accurate results are observed from this calibration. A 2-dimensional rainfall rate visualization model is developed using the calibrated PPI rainfall rate database. Simulation of the characteristics of point rainfall rate and path rain attenuation at five satellite ground stations around Singapore is carried out using this 2D model. The simulation results are analyzed and presented. The following aspects related to the rainfall in Singapore are covered: the spatial and temporal variation of rainfall, the rain attenuation along Ku-band links, the path reduction factor in rain attenuation predictions, and the use of site diversity in combating rain attenuation in Singapore. Some preliminary efforts are devoted to the design and development of a 3dimensional rainfall rate visualization model for Singapore. The proposed 2dimensional implementation of 3-dimensional data interpolation shows great potential for improving the efficiency of processing large-size databases. A prototype of volumetric data viewer is developed and tested. The experiences gained in these works will be beneficial to the successors of the study.

show abstract

A case study on multiresolution visualization of local rainfall from weather radar measurements

Cited by 7 publications

References 13 publications

Simplex and Diamond Hierarchies: Models and Applications

Simplex and Diamond Hierarchies: Models and Applications

Interpolation And Visualization For Advected Scalar Fields

Investigation of spatial variations of rainfall rate using radar data

Contact Info

Product

Resources

About