scholarly journals Quantifying Freshwater Mass Balance in the Central Tibetan Plateau by Integrating Satellite Remote Sensing, Altimetry, and Gravimetry

2016 ◽  
Vol 8 (6) ◽  
pp. 441 ◽  
Author(s):  
Kuo-Hsin Tseng ◽  
Chung-Pai Chang ◽  
C. Shum ◽  
Chung-Yen Kuo ◽  
Kuan-Ting Liu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Tibetan Plateau ◽  
Mass Balance ◽  
Satellite Remote Sensing ◽  
Central Tibetan Plateau

scholarly journals Impact of glacier shape on the mass balance changes: A case study of Dongkemadi region, central Tibetan Plateau

2020 ◽  
Vol 11 (1) ◽  
pp. 22-30
Author(s):  
An-An Chen ◽  
Ning-Lian Wang ◽  
Yu-Wei Wu ◽  
Quan Zhang ◽  
Zhong-Ming Guo
Keyword(s):  
Tibetan Plateau ◽  
Mass Balance ◽  
Central Tibetan Plateau

scholarly journals Morphometric Controls on Glacier Mass Balance of the Puruogangri Ice Field, Central Tibetan Plateau

Water ◽  
2016 ◽  
Vol 8 (11) ◽  
pp. 496 ◽  
Author(s):  
Lin Liu ◽  
Liming Jiang ◽  
Yafei Sun ◽  
Hansheng Wang ◽  
Chaolu Yi ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Mass Balance ◽  
Glacier Mass Balance ◽  
Central Tibetan Plateau ◽  
Ice Field

scholarly journals Rapid decrease of mass balance observed in the Xiao (Lesser) Dongkemadi Glacier, in the central Tibetan Plateau

2008 ◽  
Vol 22 (16) ◽  
pp. 2953-2958 ◽  
Author(s):  
Jianchen Pu ◽  
Tandong Yao ◽  
Meixue Yang ◽  
Lide Tian ◽  
Ninlian Wang ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Mass Balance ◽  
Rapid Decrease ◽  
Central Tibetan Plateau

scholarly journals Progress and Challenges in Studying Regional Permafrost in the Tibetan Plateau Using Satellite Remote Sensing and Models

2020 ◽  
Vol 8 ◽  
Author(s):  
Huiru Jiang ◽  
Guanheng Zheng ◽  
Yonghong Yi ◽  
Deliang Chen ◽  
Wenjiang Zhang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Tibetan Plateau ◽  
Satellite Remote Sensing ◽  
Surface Deformation ◽  
Microwave Remote Sensing ◽  
Local Scale ◽  
The Tibetan Plateau ◽  
Freeze Thaw ◽  
Plateau Area

Recent climate change has induced widespread soil thawing and permafrost degradation in the Tibetan Plateau. Significant advances have been made in better characterizing Tibetan Plateau soil freeze/thaw dynamics, and their interaction with local-scale ecohydrological processes. However, factors such as sparse networks of in-situ sites and short observational period still limit our understanding of the Tibetan Plateau permafrost. Satellite-based optical and infrared remote sensing can provide information on land surface conditions at high spatial resolution, allowing for better representation of spatial heterogeneity in the Tibetan Plateau and further infer the related permafrost states. Being able to operate at “all-weather” conditions, microwave remote sensing has been widely used to retrieve surface soil moisture, freeze/thaw state, and surface deformation, that are critical to understand the Tibetan Plateau permafrost state and changes. However, coarse resolution (>10 km) of current passive microwave sensors can add large uncertainties to the above retrievals in the Tibetan Plateau area with high topographic relief. In addition, current microwave remote sensing methods are limited to detections in the upper soil layer within a few centimetres. On the other hand, algorithms that can link surface properties and soil freeze/thaw indices to permafrost properties at regional scale still need improvements. For example, most methods using InSAR (interferometric synthetic aperture radar) derived surface deformation to estimate active layer thickness either ignore the effects of vertical variability of soil water content and soil properties, or use site-specific soil moisture profiles. This can introduce non-negligible errors when upscaled to the broader Tibetan Plateau area. Integrating satellite remote sensing retrievals with process models will allow for more accurate representation of Tibetan Plateau permafrost conditions. However, such applications are still limiting due to a number of factors, including large uncertainties in current satellite products in the Tibetan Plateau area, and mismatch between model input data needs and information provided by current satellite sensors. Novel approaches to combine diverse datasets with models through model initialization, parameterization and data assimilation are needed to address the above challenges. Finally, we call for expansion of local-scale observational network, to obtain more information on deep soil temperature and moisture, soil organic carbon content, and ground ice content.

scholarly journals Energy and mass balance of Zhadang glacier surface, central Tibetan Plateau

2013 ◽  
Vol 59 (213) ◽  
pp. 137-148 ◽  
Author(s):  
Guoshuai Zhang ◽  
Shichang Kang ◽  
Koji Fujita ◽  
Eva Huintjes ◽  
Jianqing Xu ◽  
...  
Keyword(s):  
Heat Flux ◽  
Energy Balance ◽  
Tibetan Plateau ◽  
Surface Energy ◽  
Mass Balance ◽  
Longwave Radiation ◽  
Specific Mass ◽  
Glacier Surface ◽  
Central Tibetan Plateau ◽  
Precipitation Seasonality

AbstractClimate variables that control the annual cycle of the surface energy and mass balance on Zhadang glacier in the central Tibetan Plateau were examined over a 2 year period using a physically based energy-balance model forced by routine meteorological data. The modelled results agree with measured values of albedo, incoming longwave radiation, surface temperature and surface level of the glacier. For the whole observation period, the radiation component dominated (82%) the total surface energy heat fluxes. This was followed by turbulent sensible (10%) and latent heat (6%) fluxes. Subsurface heat flux represented a very minor proportion (2%) of the total heat flux. The sensitivity of specific mass balance was examined by perturbations of temperature (±1 K), relative humidity (±20%) and precipitation (±20%). The results indicate that the specific mass balance is more sensitive to changes in precipitation than to other variables. The main seasonal variations in the energy balance were in the two radiation components (net shortwave radiation and net longwave radiation) and these controlled whether surface melting occurred. A dramatic difference in summer mass balance between 2010 and 2011 indicates that the glacier surface mass balance was closely related to precipitation seasonality and form (proportion of snowfall and rainfall).

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