Web-system for processing and visualization of meteorological data for Siberian environment research

Titov, A. G.; Гордов, Е. П.; Okladnikov, Igor; Shulgina, Tamara

doi:10.1080/17538940902866187

Cited by 10 publications

(5 citation statements)

References 10 publications

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“…Several works in information visualization tackled with the problem of weather forecast, ranging from very specific solutions (e.g., [10,11]) to more general approaches that use the weather forecast as an application domain (e.g., [12,13]). Ferstl et al [14] proposed a new approach for analyzing the temporal growth of the uncertainty in ensembles of weather forecasts, which are started from perturbed but similar initial conditions.…”

Section: Visualisation Of Aerological Soundingsmentioning

confidence: 99%

IVAN: An Interactive Herlofson’s Nomogram Visualizer for Local Weather Forecast

2019

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In 1947, N. Herlofson proposed a modification to the 1884 Heinrich Hertz’s Emagram with the goal of getting more precise hand-made weather forecasts providing larger angles between isotherms and adiabats. Since then, the Herlofson’s nomogram has been used every day to visualize the results of about 800 radiosonde balloons that, twice a day, are globally released, sounding the atmosphere and reading pressure, altitude, temperature, dew point, and wind velocity. Relevant weather forecasts use such pieces of information to predict fog, cloud height, rain, thunderstorms, etc. However, despite its diffusion, non-technical people (e.g., private gliding pilots) do not use the Herlofson’s nomogram because they often consider it hard to interpret and confusing. This paper copes with this problem presenting a visualization based environment that presents the Herlofson’s nomogram in an easier to interpret way, allowing the selection of the right level of detail and at the same time inspection of the sounding row data and the plotted diagram. Our visual environment was compared with the classic way of representing the Herlofson’s nomogram in a formal user study, demonstrating the higher efficacy and better comprehensibility of the proposed solution.

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Section: Visualisation Of Aerological Soundingsmentioning

confidence: 99%

IVAN: An Interactive Herlofson’s Nomogram Visualizer for Local Weather Forecast

2019

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“…While these data centers are 'national' , each center carries a suite of information for either the entire NEESPI domain or most of the domain as well as for the Globe. Titov et al 2009, Gordov et al 2013. These tools include storage and processing models for climate datasets (Okladnikov et al 2016), an online instrument for multidisciplinary data visualization, analysis and manipulation with a focus on hydrological application (Shiklomanov et al 2016), and a hardware and software platform prototype for monitoring and projecting environmental changes in the northern extratropical areas (Gordov et al 2016).…”

Section: Data In Support Of Global Change Modeling For Northern Eurasiamentioning

confidence: 99%

A review of and perspectives on global change modeling for Northern Eurasia

Monier

Kicklighter

Sokolov

et al. 2017

Environ. Res. Lett.

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Northern Eurasia is made up of a complex and diverse set of physical, ecological, climatic and human systems, which provide important ecosystem services including the storage of substantial stocks of carbon in its terrestrial ecosystems. At the same time, the region has experienced dramatic climate change, natural disturbances and changes in land management practices over the past century. For these reasons, Northern Eurasia is both a critical region to understand and a complex system with substantial challenges for the modeling community. This review is designed to highlight the state of past and ongoing efforts of the research community to understand and model these environmental, socioeconomic, and climatic changes. We further aim to provide perspectives on the future direction of global change modeling to improve our understanding of the role of Northern Eurasia in the coupled human-Earth system. Modeling efforts have shown that environmental and socioeconomic changes in Northern Eurasia can have major impacts on biodiversity, ecosystems services, environmental sustainability, and the carbon cycle of the region, and beyond. These impacts have the potential to feedback onto and alter the global Earth system. We find that past and ongoing studies have largely focused on specific components of Earth system dynamics and have not systematically examined their feedbacks to the global Earth system and to society. We identify the crucial role of Earth system models in advancing our understanding of feedbacks within the region and with the global system. We further argue for the need for integrated assessment models (IAMs), a suite of models that couple human activity models to Earth system models, which are key to address many emerging issues that require a representation of the coupled human-Earth system.

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“…So far, much effort has been dedicated to weather disaster warning and monitoring using weather radar data, which is successful to some extent (Bell & Moore, 1998; Tilford, Fox, & Collier, 2002; Wilson, 1970). With the support of GIS, 3D visual analytics has been one of the most widely used technologies for analyzing and presenting climate simulations and observations, as well as related social and ecological data (Chen & Lin, 2018; Dobesch, Dumolard, & Dyras, 2013; Goodchild, 2018; Nocke, Sterzel, Böttinger, & Wrobel, 2010; Titov, Gordov, Okladnikov, & Shulgina, 2009). However, most early studies on the meteorological radar data products are still constrained to using 2D data structures to represent 3D cloud states (Liu et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Web‐based real‐time visualization of large‐scale weather radar data using 3D tiles

Wang

Liu

et al. 2020

Transactions in GIS

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Weather radar data play an important role in meteorological analysis and forecasting. In particular, web‐based real‐time 3D visualization will enable and enhance various meteorological applications by avoiding the dissemination of a large amount of data over the internet. Despite that, most existing studies are either limited to 2D or small‐scale data analytics due to methodological limitations. This article proposes a new framework to enable web‐based real‐time 3D visualization of large‐scale weather radar data using 3D tiles and WebGIS technology. The 3D tiles technology is an open specification for online streaming massive heterogeneous 3D geospatial datasets, which is designed to improve rendering performance and reduce memory consumption. First, the weather radar data from multiple single‐radar sites across a large coverage area are organized into a spliced grid data (i.e., weather radar composing data, WRCD). Next, the WRCD is converted into a widely used 3D tile data structure in four steps: data preprocessing, data indexing, data transformation, and 3D tile generation. Last, to validate the feasibility of the proposed strategy, a prototype, namely Meteo3D at https://202.195.237.252:82, is implemented to accommodate the WRCD collected from all the weather radar sites over the whole of China. The results show that near real‐time and accurate visualization for the monitoring and early warning of strong convective weather can be achieved.

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Web-system for processing and visualization of meteorological data for Siberian environment research

Cited by 10 publications

References 10 publications

IVAN: An Interactive Herlofson’s Nomogram Visualizer for Local Weather Forecast

IVAN: An Interactive Herlofson’s Nomogram Visualizer for Local Weather Forecast

A review of and perspectives on global change modeling for Northern Eurasia

Web‐based real‐time visualization of large‐scale weather radar data using 3D tiles

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