ClusterTech Limited

ClusterTech Limited

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ClusterTech Limited

ClusterTech Limited is committed to providing value to clients through advanced computing technologies including Cloud, High Performance Computing, AI & Analytics and Big Data. Our business areas include financial engineering, business intelligence, environmental science, smart city and internet applications.

And for environmental science, ClusterTech has been providing air quality forecast and meteorological model running services to tens of loyal clients for more than 15 years. Like the Hong Kong Observatory, the Environment Protection Department of HKSAR, etc. We have products and services like China air quality forecast app, EIA PATH-2016 solutions etc.

Through years of maintaining WRF daily runs for the air quality model; updating WRF domain configurations for improved forecasts and changing objectives; and studying the MPAS-A model, we became familiar with the limitations of WRF and have been developing our mesh refinement techniques on MPAS-A since 2016.

We proudly develop and present you the ClusterTech Platform for Atmospheric Simulation (CPAS), which is a cloud-based service platform implementing Customizable Unstructured Mesh Generation (CUMG) and Hierarchical Time-Stepping (HTS) on Model for Prediction Across Scales - Atmosphere (MPAS-A (v6.3)) to better serve the computational needs of numerical atmospheric model users.

We also developed ClusterTech's Online Platform for Emission Reduction (OPER), the latest product, which aims to model and improve regional atmospheric environmental quality for mainland China in an effective way.

Country: Hong Kong
Asia Climate Forum stand number: T01

Featured products

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ClusterTech Big Data Platform

ClusterTech Big Data Platform
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ClusterTech Big Data Platform (CTBP) - Manage, monitor and configure large-scale clusters for data visualisation. Uncover business value through data analysis and fulfill customers’ needs on data analytics and visualisation.

Optimise data management skills

The amount of data stored in internal systems of enterprises continues to increase at an exponential rate. This leads to the “Information Silo” problem in which traditional information management systems are unable to retrieve useful information from the data.

Enterprises can easily perform data mining and knowledge management using CTBP. Our platform interface is simple and easy-to-use, allowing users to be productive from the onset, without any training.

Benefits  

  • Use data to enhance decision making
  • Accurately collect operational and business data
  • Formulate financial statements to support financial budgeting and planning
  • Conduct multiple scenario analysis to understand critical data

Features

  • Flexible display of parameters
  • Multi-dimensional data analysis
  • Smart data analysis engine
  • Data processing supported by Apache Spark
  • User-friendly interface and operation
  • Product and services life cycle generation
    Provides various analytic modules, including: control panel, modules, nodes management and alarm system

Applications

Marketing Strategies Analysis
Use data warehousing technology in CTBP to conduct marketing strategy simulation. By measuring the results, marketers can quantify the impact of changes on sales revenue.

Business Operation Analysis
A multitude of objectives are used in business. CTBP accommodates different types of statistical surveys such as sales revenues, number of transactions per department, comparative analytics, profit-and-loss analysis, product risk analysis, etc.

Strategic Decision Support
CTBP supports strategic decision formulation including, enterprise, business and departmental strategy.

CPAS

CPAS
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The ClusterTech Platform for Atmospheric Simulation (CPAS)

The ClusterTech Platform for Atmospheric Simulation (CPAS) is a cloud-based service platform which implements Customizable Unstructured Mesh Generation (CUMG) and Hierarchical Time-Stepping (HTS) on Model for Prediction Across Scales - Atmosphere (MPAS-A (v6.3)) to better serve the computational needs of numerical atmospheric model users.

Background - CPAS is developed based on MPAS-A and WRF

To achieve a balance between accuracy and computational cost, many Numerical Weather Prediction models (NWPs), such as Weather Research and Forecasting Model (WRF), adopt a set of rectangular grids where local refinement is achieved by nesting a high-resolution domain inside coarser grids. MPAS-A adopts spherical centroidal Voronoi tessellations (SCVTs) covering the globe, while local refinement is achieved using variable-resolution meshes. MPAS-A is a promising model for practical usages. However, MPAS-A uses a constant global timestep, determined by the size of the smallest mesh cell, which limits the resolution variability. This is because the existence of a high resolution region would make the computational resource requirements prohibitively large.

HTS - Arbitrary resolution variation

CPAS has relaxed this restriction by implementing an optional Hierarchical Time-Stepping (HTS) treatment in the MPAS-A (v6.3) dynamic core. Cells of different sizes can have different time step levels and hence the computational requirements are substantially reduced, particularly for large variations in resolution. This allows MPAS-A to be used for high-resolution regional/local forecast, instead of limited area models such as WRF (v3.9.1).

CUMG - 100% well-staggered mesh, zero obtuse Delaunay triangle

In contrast to MPAS-A's standard meshes with fixed shape, span and range of resolution variations, the Customizable Unstructured Mesh Generation (CUMG) enables local mesh refinement in arbitrary shape using user-defined horizontal resolution in any desired locations. Bespoke mesh generation can be done by simply drawing polygons on a map panel and setting the resolutions in the selected polygons. Our mesh generation algorithm have solved a well-known problem in generating SCVT with arbitrarily shaped refinement for MPAS' use - no obtuse Delaunay triangle. We guarantee the resulting meshes have perfect SCVT staggering.

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China Air Quality Forecast

China Air Quality Forecast
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The China Air Quality Forecast is the first and most accurate air quality index (AQI) forecast mobile app in China.
 
Available for free download.

EIA PATH-2016 Solutions

EIA PATH-2016 Solutions
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Complete air quality impact assessment reports quickly and efficiently.

The air quality impact assessment model, PATH-2016 is one of the most complex and time-consuming EIA applications. Air quality data preparation and long-term maintenance of the computing environments are extremely challenging.

View on ClusterTech website 

ClusterTech Big Data Platform

ClusterTech Big Data Platform

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CPAS

CPAS

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China Air Quality Forecast

China Air Quality Forecast

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EIA PATH-2016 Solutions

EIA PATH-2016 Solutions

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Company videos

Document downloads

  • The ClusterTech Platform for Atmospheric Simulation (CPAS)

Published content

Presentation
Presentation

Using AI to thrive in challenging times

ClusterTech co-hosts a live webinar with Pure Storage and NVIDIA.

Various Contributors
Presentation

Key contacts

Steven Leung

Steven Leung

Head of Sales

Contact

Contact Steven Leung

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