National Cryosphere Desert Data Center

News

Emergency response service of scientific data for Extremely Strong Cyclone “MOCHA” disaster in Bay of Bengal

Since May 13th, the waters near Cox's Bazar Port in southeast coast of Bangladesh have gradually become rough. Since midnight on May 13th, MOCHA has had maximum sustained winds of 180 kilometers per hour and gusts of 200 kilometers per hour in a 74 km area extending outward from the center. Strong cyclone storm "MOCHA" in the Bay of Bengal has strengthened into a strong cyclone storm in the morning of May 13th (Beijing time, the same below). At 8:00, its center was located in the middle sea of the Bay of Bengal about 680 kilometers south by west direction of Sittwe, Myanmar. The maximum wind near the center was 15 force (50 m/s, equivalent to strong typhoon level in China). By the afternoon of 14 local time, MOCHA had passed through and gradually moved away from the coastal area between Cox's Bazar and northern Myanmar, posing no major tidal wave threat as of 13:00. MOCHA had maximum sustained winds of 160 kilometers per hour within 74 kilometers of the storm's center, with gusts likely to increase to 180 kilometers per hour. The National Cryosphere Desert Data Center (NCDC) for Glaciology and Permafrost Desert collects and prepares basic geographic data, satellite remote sensing data, population data, topographic data and other emergency response scientific data based on disaster situations.The "Emergency response service of scientific data for Extremely Strong Cyclone “MOCHA” disaster in Bay of Bengal" system has been released, which provides data visualization, interoperation and data download capabilities.For use by relevant emergency, rescue and research departments. The subsequent NCDC will continue to further collect and sort out various data resources in the gradually release them through the data center platform for the use of relevant emergency, rescue and research departments. Service Website：http://www.ncdc.ac.cn/portal/emergency?eid=71edb520-9ecd-482c-9afd-0253134e116f&lang=en

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Thematic data

Observation data of landslides in the Three Gorges of the Yangtze River

This landslide observation data of the Three Gorges provided by Hubei Three Gorges landslide national field scientific observation and research station (the three Gorges Station for short) has been officially published in the national glacier frozen soil desert scientific data center. The Three Gorges Station is the only one national professional station for field observation and scientific research of landslide geological hazard, which is supported by Three Gorges University. The research contents landslide disaster mechanism, monitoring technology, prediction and forecast, landslide control engineering technology, etc. The main observation objects are Lianziya dangerous rock landslide, Xintan landslide, Bazimen Landslide, Shuping landslide and Baishuihe landslide; the observation elements include: rainfall, temperature, surface water and groundwater level, rock mass or surface displacement automatic monitoring data.

Observation data of landslides in the Three Gorges of the Yangtze River

Thematic data of Chinese glacier inventory

This data set includes the first and second Chinese glacier inventory data.

Thematic data of Chinese glacier inventory

Latest Data

New Models

Precipitation Runoff Modeling System (PRMS)

The hydrological unstructured domain simulator (shud) is a multi process, multi-scale hydrological model, in which the main hydrological processes are fully coupled by the semi discrete finite volume method (FVM). Continuous applications of the shud model include hydrological analysis of slope at regional scale, water resources and stormwater management, as well as interdisciplinary research on lacustrine issues, agriculture, geochemistry, geomorphology, water quality, ecology, climate and land use change. The advantage of shud lies in its flexibility. It is a scientific and resource evaluation tool that needs modeling and simulation.

Simulator for Hydrologic Unstructured Domains, SHUD

A large number of reservoir inflow with preserved data, spillway discharge and discharge of breach ditch (unstable flow with sediment transport capacity) formed along erosion are comprehensively applied in the model. It is assumed that the slope ratio at the bottom of the breach is basically the same as that at the downstream of the dam. The development of breach ditch depends on the material properties of dam body (D50 size, unit weight, friction angle, bond strength). The model takes into account the following possible complexities: 1) the material properties of the dam core and the outside of the dam are different; 2) before the real breach caused by overtopping flow is formed, the erosion ditch along the downstream slope surface of the dam is determined; 3) the downstream slope of the dam may be covered with grass or contain materials larger than the external components of the dam; 4) the shear strength and cohesive force are exceeded The results show that more than one sudden structural collapse mechanism is enlarged due to the hydrostatic pressure; 5) the width of the breach obtained from the slope stability theory is enlarged; 6) the free surface breach flow is developed by piping, which causes the collapse; and 7) the non cohesive material (gravel) or cohesive material (clay) may be carried away by erosion. The discharge water level hydrograph is obtained by time step iterative method, which can be completed in only a few seconds on a main computer. The model is not constrained by numerical stability and convergence stability.

Dam break model of breach earth rock dam

The sand pile avalanche model simulates the occurrence of avalanches in sand and plots the frequency of these avalanches. With the increase of sand particles, the shape and size of sand pile are easy to model. But even though the shape of the pile is conical, a new grain of sand can also trigger avalanches. Some sand particles fall off the cone. And because these avalanches are unpredictable, it's impossible to predict whether the next grain of sand will lead to avalanches.

Sand Pile Avalanche Model

Statistics

Service Statistics

Metadata3293items

Data size79.4 TiB

Visit7072017times

Data Download304978times

Download size3.5 PiB

Model tools152

Model download23400

Users25049

Stations54

Visits 301568774times

Ranking of data source

1 Platform service center 596 2 Scientific data center for cold and arid regions 357 3 Ecological environment monitoring center of soil and water conservation in the Yellow River Basin 269 4 Heihe integrated remote sensing joint experimental station 235 5 Heihe ecological hydrological remote sensing station 182

Ranking of data contributors

1 Monitoring Center for ecological environment of soil and water conservation in the Yellow River Basin 269 2 Zhang yaonan 225 3 Wu lizong 144 4 zhongdeyu 125 5 Kang jianfang 119

Science Popularization

Pole region

In most parts of the Antarctic and Arctic, the temperature rarely rises above 0 ℃. The frozen landscape there is made up of different types of ice.

Qinghai-Tibet Plateau

The Qinghai Tibet Plateau is the largest plateau in China and the highest altitude in the world, known as the 'roof of the world' and 'the third pole'.

Atmosphere

The atmosphere is the air that surrounds the earth. But the weather, speaking from the phenomenon, is mostly the result of the moisture change in the atmosphere.

Debris flow

Debris flow refers to the special torrent which is caused by rainstorm, Blizzard or other natural disasters and carries a large amount of sediment and stones in mountainous areas or other ravines and steep terrain areas.