Results 31 to 40 of about 22,971 (167)

Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements

Frontiers in Remote Sensing, 2022
Snow is a crucial element in the Earth’s system, but snow depth and mass are very challenging to be measured globally. Here, we provide the theoretical foundation for deriving snow depth directly from space-borne lidar (ICESat-2) snow multiple scattering
Yongxiang Hu, Xiaomei Lu, Xubin Zeng, Snorre A Stamnes, Thomas A. Neuman, Nathan T. Kurtz, Pengwang Zhai, Meng Gao, Meng Gao, Wenbo Sun, Kuanman Xu, Zhaoyan Liu, Ali H. Omar, Rosemary R. Baize, Laura J. Rogers, Brandon O. Mitchell, Knut Stamnes, Yuping Huang, Nan Chen, Carl Weimer, Jennifer Lee, Zachary Fair   +21 more
doaj   +1 more source

A long-term daily gridded snow depth dataset for the Northern Hemisphere from 1980 to 2019 based on machine learning

Big Earth Data
A high-quality snow depth product is very import for cryospheric science and its related disciplines. Current long time-series snow depth products covering the Northern Hemisphere can be divided into two categories: remote sensing snow depth products and
Yanxing Hu, Tao Che, Liyun Dai, Yu Zhu, Lin Xiao, Jie Deng, Xin Li   +6 more
doaj   +1 more source

Snow Depth Variations in Svalbard Derived from GNSS Interferometric Reflectometry

Remote Sensing, 2020
Snow plays a critical role in hydrological monitoring and global climate change, especially in the Arctic region. As a novel remote sensing technique, global navigation satellite system interferometric reflectometry (GNSS-IR) has shown great potential ...
Jiachun An, Pan Deng, Baojun Zhang, Jingbin Liu, Songtao Ai, Zemin Wang, Qiuze Yu   +6 more
doaj   +1 more source

Converting snow depth to snow water equivalent using climatological variables [PDF]

The Cryosphere, 2019
Abstract. We present a simple method that allows snow depth measurements to be converted to snow water equivalent (SWE) estimates. These estimates are useful to individuals interested in water resources, ecological function, and avalanche forecasting. They can also be assimilated into models to help improve predictions of total water volumes over large
D. F. Hill, E. A. Burakowski, R. L. Crumley, J. Keon, J. M. Hu, A. A. Arendt, K. Wikstrom Jones, G. J. Wolken, G. J. Wolken   +8 more
openaire   +3 more sources

Remote monitoring of the snow loads on a roof of buildings

Лëд и снег, 2016
Obtaining actual data on a change in the value of snow load for a snowfall is an important task the solution of which is usually neglected. The purpose of the work was to obtain a data on dynamics of the snow load change on a roof for a snowfall.
V. A. Lobkina, I. A. Kononov, A. A. Potapov   +2 more
doaj   +1 more source

Analysis of the characteristics of snow depth variation on the Qinghai-Tibet plateau and its partial correlation with meteorological factors

Shuili Shuiyun Gongcheng Xuebao, 2023
To investigate the patterns of snow change in the Third Pole region, this study examines the temporal and spatial characteristics of snow depth on the Qinghai-Tibet Plateau over the past 40 years.
SHE Wangkang, YANG Qinli, WANG Guoqing, JIN Shuangyan   +3 more
doaj   +1 more source

A Suitable Retrieval Algorithm of Arctic Snow Depths with AMSR-2 and Its Application to Sea Ice Thicknesses of Cryosat-2 Data

Remote Sensing, 2022
Arctic sea ice and snow affect the energy balance of the global climate system through the radiation budget. Accurate determination of the snow cover over Arctic sea ice is significant for the retrieval of the sea ice thickness (SIT).
Zhaoqing Dong, Lijian Shi, Mingsen Lin, Tao Zeng   +3 more
doaj   +1 more source

Subgrid parameterization for snow depth over mountainous terrain from flat field snow depth [PDF]

Water Resources Research, 2017
AbstractSnow depth is an important variable for a variety of models including land‐surface, meteorological, and climate models. Various measurement networks were therefore developed to measure snow depth on the ground. Measurement stations are generally located in gentle terrain (flat field measurements) most often at lower or mid elevation.
N. Helbig, A. van Herwijnen
openaire   +2 more sources

Application of HY-2B Satellite Data to Retrieve Snow Depth on Antarctic Sea Ice

Remote Sensing
Sea ice and its surface snow are crucial components of the energy cycle and mass balance between the atmosphere and ocean, serving as sensitive indicators of climate change.
Qing Ji, Nana Liu, Mengqin Yu, Zhiming Zhang, Zehui Xiao, Xiaoping Pang   +5 more
doaj   +1 more source

Snow Depth Retrieval on Arctic Sea Ice Using Under-Ice Hyperspectral Radiation Measurements

Frontiers in Earth Science, 2021
Radiation transmitted through sea ice and snow has an important impact on the energy partitioning at the atmosphere-ice-ocean interface. Snow depth and ice thickness are crucial in determining its temporal and spatial variations.
Philipp Anhaus, Christian Katlein, Marcel Nicolaus, Stefanie Arndt, Arttu Jutila, Christian Haas, Christian Haas   +6 more
doaj   +1 more source