Ninecosmos is a leading high-tech business meteorological service enterprise in China, specializing in model, forecast, data, analysis and application. The company's independent research and development products cover many fields, such as fine weather forecast, atmospheric environmental protection, port and shipping, new energy, agricultural finance, etc. The project cooperation covers government departments, universities and institutions and large enterprises.

Case 1

Client name: Longi Group

Project Name: Photovoltaic meteorological data platform establishment service

Project achievements:

Developed and customized an SAAS meteorological data service platform for Longi's R&D department to provide a variety of data for photovoltaics, helping users realize efficient weather data querying and statistical analysis as well as carrying out in-depth independent research and related work.

Case 2

Client name: Shanghai Electrical Engineering Design Co., LTD

Project Name: Development of digital optical resource platform

Project achievements:

Developed an SAAS digital light resource selection platform for Shanghai Electric, among other related product customers. Provided long series of high-resolution surface radiation three-component data and conducted local siting and revenue analysis for photovoltaic plants based on inhouse physical parameterization models that reduced costs and improved efficiency for preliminary site selection.

Case 3

Client name: Bosch Group

Project Name: Establishment of SRIS Phase II meteorological data platform

Project achievements:

Provided a high-resolution and refined live forecast of road and weather conditions with rolling updates;

Achieved 97.06% annual data stability, 86.09s average lag time and over 89% forecast accuracy for precipitation.

Case 4

Customer Name: Hubei Provincial Water Resources Department

Project name: Mountain flood Warning weather Radar System in Hubei Province

Project achievements:

Case 5

Client name: National Marine Environmental Forecasting Center

Project name: Numerical Wind field intelligent optimization and Medium and long term wave intelligent forecast system

Project achievements:

Intelligent optimization system for GRAPES numerical wind field forecasting reduced forecast error by 15.7% on average, and realized forecast resolution increase from 1/4deg to 1/8deg;

Intelligent wave forecasting system accurately predicted 30-day height and level probabilities.

Case 6

Client Name: National Marine Information Center, Department of Natural Resources

Project name: Multi-source Marine environment Big Data fast fusion and intelligent deviation correction system

Project achievements:

Utilized rapid intelligent fusion of multi-source ocean data to develop a global 0.25deg ocean fusion dataset for 1950-2020;

Built an "ocean-atmosphere-wave" coupled model forecasting system with a atmospheric resolution of 3km and an oceanic resolution of 800m for the Bohai Bay, improved average accuracy of forecast results by more than 15% through intelligent deviation revisions.

Case 7

Client Name: First Oceanographic Institute, Department of Natural Resources

Project Name: Concurrent Optimization of Regional Ocean Model ROMS

Project achievements:

The original model could not meet the operational requirement of computing 7 model days within 3 hours;

Operational requirements of decreasing burden on hardware usage were met through communication optimization and adaptation of hardware and software.

Case 8

Client Name: Chinese Academy of Meteorological Sciences

Project Name: Unstructured Grid efficient parallel computing framework development

Project achievements:

Original framework suffered from load imbalance and low parallel efficiency, resulting in slow runtimes;

Running speed and parallel scalability were significantly improved through grid decomposition optimization and file read/write optimization.

Case 9

Client name: National Energy Group

Project Name: Study on the influence of climate factors on supply and demand in multi-regional multi-energy markets

Project achievements:

Combined numerical forecasting, AI methods and production/demand data of electricity to forecast future energy market fluctuations;

Clarified key climate risk sources in typical regional energy markets and more clearly identified the impacts of supply/demand issues on security consideration within those markets.