Greenland ice sheet mass change data products (2002-2019)

This data set includes 2002/04-2019/12 Greenland ice sheet mass changes derived from satellite gravimetry measurements. The satellite gravimetry data come from the joint NASA/DLR Gravity Recovery And Climate Experiment mission twin satellites (GRACE, 2002/04 to 2017/06) and its successor, GRACE Follow-On (GRACE-FO, 2018/06 to present). In order to fill the data gap between GRACE and GRACE-FO, we further utilize gravity field solutions derived from high-low GNSS tracking data of ESA's Swarm 3-satellite constellation whose primary scientific objective is geomagnetic surveying. The data set is provided in Matlab data format, the ice sheet mass changes are transformed to equivalent water height in meters, expressed on 0.25°x0.25° grid with monthly temporal resolution. This data set can be used to study the characteristics of Greenland ice sheet mass changes in recent two decades and their relation with the global climate change.

0 2022-09-13

Spatial distribution data set of water resource service value in the cryosphere of five river source areas of the Qinghai Tibet Plateau (2005-2010)

Known as the "Asian water tower", the Qinghai Tibet Plateau is the source of many rivers in Southeast Asia. As an important and easily accessible water resource, the runoff provided by it supports the production and life of billions of people around it and the diversity of the ecosystem. The glacier runoff data set in the five river source areas of the Qinghai Tibet Plateau covers the period from 2005 to 2010, with a time resolution of every five years. It covers the source areas of the five major rivers in the Qinghai Tibet Plateau (the source of the Yellow River, the source of the Yangtze River, the source of the Lancang River, the source of the Nujiang River, and the source of the Yarlung Zangbo River). The spatial resolution is 1km. Based on multi-source remote sensing, simulation, statistics, and measured data, GIS methods and ecological economics methods are used, The value of water resources service in the cryosphere in the source area of the river and river is quantified, and all its data are subject to quality control.

0 2022-09-13

Global inventory of glacier-related slope failures and moraine dammed lake outburst floods (1901-2020)

Continued global warming and degradation of the cryosphere are raising concerns about adaptation to environmental instability in mountain areas. In recent decades, glacier-related slope failures, such as ice avalanches and rock avalanches on glaciers, have been frequently documented. In this study, we create a global inventory of glacier-related landslides to examine their distribution, trends, fractures, and relationship to climate change. During the period 1901-2019, 737 glacier-related landslides were recorded, including 156 ice avalanches, 89 ice-rock avalanches, 26 glacier slides, and 466 supraglacial rock avalanches. The Pacific Northwest had the most recorded cases (N = 440, 60%), with supraglacial rockfalls being the most dominant. In addition, the currently published list of glacial lake outburst floods of regional or global nature is integrated and refined, and moraine lake outburst flood events are separated separately. 380 moraine lake outburst flood events were counted between 1901 and 2020, making it the most complete list available on a global scale.

0 2022-09-05

Data set of 250m ice melt in the Antarctic marginal area (2000-2019)

In recent years, with the acceleration of the melting of the Antarctic ice sheet, a large amount of ice melt has formed on the surface of the ice sheet from 2000 to 2019. It is of great significance to study the material balance of the Antarctic ice sheet to deeply understand the spatial-temporal distribution and dynamic changes of the melt water on the Antarctic ice sheet. This data set is based on Landsat7 and landsat8 images with 30 m spatial resolution from 2000 to 2019. By using normalized water body index, Gabor filtering and morphological path opening operations, the ice melt grid data set is generated, and the grid water body mask is converted into vector data in ArcGIS. This data set is based on the 250m ice surface melt water data set of the Antarctic ice sheet melting area (Alexander Island, Antarctic Peninsula) from 2000 to 2019 extracted from Landsat images. The time is concentrated from December to February (Southern Hemisphere summer)

0 2022-09-02

2018-2065 estimation data set of key elements of future water cycle in Arctic main river regions with 10 km resolution

This product provides the monthly runoff, evapotranspiration and soil water of major Arctic river basins in 2018-2065 based on the land surface model Vic. The spatial accuracy is 10km. Major Arctic river basins include Lena, Yenisey, ob, Kolyma, Yukon and Mackenzie basins. According to the rcp2.6 (low emission intensity) and rcp8.5 (high emission intensity) scenario results provided by the ipsl-cm5a-lr model in cmip5 in the fifth assessment report of IPCC, the future climate scenario driving data applicable to the Arctic region of 0.1 ° is obtained through statistical downscaling. Using the calibrated land surface hydrological model Vic on a global scale, based on the future climate scenario driven data of 0.1 °, the monthly time series of runoff, soil water and evapotranspiration of the Arctic River Basin in the middle of this century under future climate change are estimated.

0 2022-09-01

Antarctic sea ice extent reconstruction over the past 200 years

(1) Data content: data set of Antarctic sea ice extent (Northernmost Latitude of Sea Ice Edge (NLSIE) [°N]) in the past 200 years; (2) Data source and processing method: the data is generated based on the statistical model using six annual resolution proxies (ice core MSA, accumulation rate, etc.); (3) Data quality description: annual resolution; Areas: Indian and western Pacific sector of the Southern Ocean (50 ° – 150 ° E, indwpac), Ross Sea (160 ° E – 140 ° W, RS), Amundsen Sea (90 ° – 140 ° W, as), Bellingshausen Sea (50 ° – 90 ° W, BS), Weddell Sea (50 ° W – 20 ° E, WS); (4) It can be used to study the interdecadal variability of Antarctic sea ice.

0 2022-08-30

Surface information of Qinghai-Tibet engineering corridor (2014-2020)

The dataset is the remote sensing image data ofGF-1 satellite in the Qinghai-Tibet engineering corridor obtained by China High Resolution Earth Observation Center. After the fusion processing of multispectral and panchromatic bands, the image data with a spatial resolution of 2 m is obtained. In the process of obtaining ground vegetation information, the classification technology of combining object-oriented computer automatic interpretation and manual interpretation is adopted, The object-oriented classification technology is to collect adjacent pixels as objects to identify the spectral elements of interest, make full use of high-resolution panchromatic and multispectral data space, texture and spectral information to segment and classify, and output high-precision classification results or vectors. In actual operation, the image is automatically extracted by eCognition software. The main processes are image segmentation, information extraction and accuracy evaluation. After verification with the field survey, the overall extraction accuracy is more than 90%.

0 2022-08-29

Crevasse dataset over typical ice shelves in Antarctica(2015、2016、2020)

We propose an algorithm for ice crack identification and detection using u-net network, which can realize the automatic detection of Antarctic ice cracks. Based on the data of sentinel-1 EW from January to February every year, in order to suppress the speckle noise of SAR image, the probabilistic patch based weights (ppb) algorithm is selected for filtering, and then representative samples are selected and input into the u-net network for model training, and the ice cracks are predicted according to the trained model. Taking five typical ice shelves(Amery、Fimbul、Nickerson、Shackleton、Thwaiters) in Antarctica as an example, the average accuracy of classification results can reach 94.5%, of which the local accuracy of fissure area can reach 78.6%, and the recall rate is 89.4%.

0 2022-08-17

Crevasse dataset over typical glaciers in Greenland ice sheet(2018-2020)

We propose an algorithm for ice fissure identification and detection using u-net network, which can realize the automatic detection of ice fissures of Typical Glaciers in Greenland ice sheet. Based on the data of sentinel-1 IW from July and August every year, in order to suppress the speckle noise of SAR image, the probabilistic patch based weights (ppb) algorithm is selected for filtering, and then the representative samples are selected and input into the u-net network for model training, and the ice cracks are predicted according to the trained model. Taking two typical glaciers in Greenland (Jakobshavn and Kangerdlussuaq) as examples, the average accuracy of classification results can reach 94.5%, of which the local accuracy of fissure area can reach 78.6%, and the recall rate is 89.4%.

0 2022-08-17

Ice core records of temperature and precipitation in the KuoKuosele glacier (1900-2011)

1) The data include annual scale oxygen isotope and accumulation records of ice cores from 1900 to 2011, which respectively reflect the temperature and precipitation changes in the study area; 2) For analysis, the ice core samples were first measured using Picaro δ 18O and as per δ The seasonal variation characteristics of 18O determine the age of ice core; The accumulation of ice cores is calculated according to the density of ice cores, the length of ice cores per year and the glacier flow model; 3) Professional laboratory personnel and front-line scientific research personnel operate and maintain the instrument to ensure the reliability of analysis data; 4) The data can be used to analyze the climate and environmental changes in the typical westerly region of the Qinghai Tibet Plateau over the past 100 years, and can be used to explore the evolution of glaciers in this period, providing scientific reference for predicting the future evolution of glaciers, changes in hydrology and water resources and their impact on human activities.

0 2022-08-15