Spatio-temporal variability of vertical gradients of major meteorological observations around the Tibetan Plateau

2015 ◽  
Vol 36 (4) ◽  
pp. 1901-1916 ◽  
Author(s):  
Xiaoyu Guo ◽  
Lei Wang ◽  
Lide Tian
Keyword(s):  
Tibetan Plateau ◽  
Temporal Variability ◽  
The Tibetan Plateau ◽  
Spatio Temporal ◽  
Meteorological Observations ◽  
Vertical Gradients

Spatio-temporal variability of soil moisture and its effect on vegetation in a desertified aeolian riparian ecotone on the Tibetan Plateau, China

2013 ◽  
Vol 479 ◽  
pp. 215-225 ◽  
Author(s):  
Haidong Li ◽  
Weishou Shen ◽  
Changxin Zou ◽  
Jiang Jiang ◽  
Lina Fu ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Tibetan Plateau ◽  
Temporal Variability ◽  
The Tibetan Plateau ◽  
Spatio Temporal

scholarly journals Spatio-Temporal Variation Characteristics of Snow Depth and Snow Cover Days over the Tibetan Plateau

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 307
Author(s):  
Chi Zhang ◽  
Naixia Mou ◽  
Jiqiang Niu ◽  
Lingxian Zhang ◽  
Feng Liu
Keyword(s):  
Tibetan Plateau ◽  
Snow Cover ◽  
Snow Depth ◽  
Feedback Effect ◽  
Effect Of Temperature ◽  
The Tibetan Plateau ◽  
Reanalysis Dataset ◽  
Spatio Temporal ◽  
The Impact ◽  
Main Factor

Changes in snow cover over the Tibetan Plateau (TP) have a significant impact on agriculture, hydrology, and ecological environment of surrounding areas. This study investigates the spatio-temporal pattern of snow depth (SD) and snow cover days (SCD), as well as the impact of temperature and precipitation on snow cover over TP from 1979 to 2018 by using the ERA5 reanalysis dataset, and uses the Mann–Kendall test for significance. The results indicate that (1) the average annual SD and SCD in the southern and western edge areas of TP are relatively high, reaching 10 cm and 120 d or more, respectively. (2) In the past 40 years, SD (s = 0.04 cm decade−1, p = 0.81) and SCD (s = −2.3 d decade−1, p = 0.10) over TP did not change significantly. (3) The positive feedback effect of precipitation is the main factor affecting SD, while the negative feedback effect of temperature is the main factor affecting SCD. This study improves the understanding of snow cover change and is conducive to the further study of climate change on TP.

scholarly journals Snow distribution over the Namco lake area of the Tibetan Plateau

2009 ◽  
Vol 13 (11) ◽  
pp. 2023-2030 ◽  
Author(s):  
M. Li ◽  
Y. Ma ◽  
Z. Hu ◽  
H. Ishikawa ◽  
Y. Oku
Keyword(s):  
Tibetan Plateau ◽  
The Tibetan Plateau ◽  
Lake Area ◽  
State Variable ◽  
Nested Grids ◽  
Snow Distribution ◽  
Surface Skin Temperature ◽  
Modified Surface ◽  
Meteorological Observations

Abstract. The mesoscale snow distribution over the Namco lake area of the Tibetan Plateau on October 2005 has been investigated in this paper. The base and revised experiments were conducted using the Weather Research Model (WRF) with three nested grids that included a 1 km finest grid centered on the Namco station. Our simulation ran from 6 October through to 10 October 2005, which was concurrent with long term meteorological observations. Evaluation against boundary layer meteorological tower measurements and flux observations showed that the model captured the observed 2 m temperature and 10 m winds reasonably well in the revised experiment. The results suggest that output snow depth maximum amounts from two simulated experiments were centered downwind of the Namco lakeshore. Modified surface state variable, for example, surface skin temperature on the lake help to increase simulated credibility.

A Spatial and Temporal Continuum Remotely Sensed Soil Moisture Dataset of the Tibet Plateau From 2002 to 2015

2020 ◽  
Author(s):  
Yaokui Cui ◽  
Chao Zeng ◽  
Jie Zhou ◽  
Xi Chen
Keyword(s):  
Soil Moisture ◽  
Tibetan Plateau ◽  
Land Surface ◽  
European Space Agency ◽  
Remotely Sensed ◽  
General Regression Neural Network ◽  
Tibet Plateau ◽  
The Tibetan Plateau ◽  
Space Agency ◽  
Spatio Temporal

<p><strong>Abstract</strong>:</p><p>Surface soil moisture plays an important role in the exchange of water and energy between the land surface and the atmosphere, and critical to climate change study. The Tibetan Plateau (TP), known as “The third pole of the world” and “Asia’s water towers”, exerts huge influences on and sensitive to global climates. Long time series of and spatio-temporal continuum soil moisture is helpful to understand the role of TP in this situation. In this study, a dataset of 14-year (2002–2015) Spatio-temporal continuum remotely sensed soil moisture of the TP at 0.25° resolution is obtained, combining MODIS optical products and ESA (European Space Agency) ECV (Essential Climate Variable) combined soil moisture products based on General Regression Neural Network (GRNN). The validation of the dataset shows that the soil moisture is well reconstructed with R<sup>2</sup> larger than 0.65, and RMSE less than 0.08 cm<sup>3</sup> cm<sup>-3</sup> and Bias less than 0.07 cm<sup>3</sup> cm<sup>-3 </sup>at 0.25° and 1° spatial scale, compared with the in-situ measurements in the central of TP. And then, spatial and temporal characteristics and trend of SM over TP were analyzed based on this dataset.</p><p><strong>Keywords: </strong>Soil moisture; Remote Sensing; Dataset; GRNN; ECV; Tibetan Plateau</p>

scholarly journals Snow distribution over the Namco lake area of the Tibetan Plateau

2009 ◽  
Vol 6 (1) ◽  
pp. 843-857 ◽  
Author(s):  
M. Li ◽  
Y. Ma ◽  
Z. Hu ◽  
H. Ishikawa ◽  
Y. Oku
Keyword(s):  
Tibetan Plateau ◽  
The Tibetan Plateau ◽  
Lake Area ◽  
Research Model ◽  
Nested Grids ◽  
Snow Distribution ◽  
Surface Skin Temperature ◽  
Modified Surface ◽  
Meteorological Observations

Abstract. The mesoscale snow distribution over the Namco lake area of the Tibetan Plateau on October 2005 has been investigated in this paper. The control and sensitive experiments were conducted using Weather Research Model (WRF) with three nested grids that included a 1 km finest grid centered on the Namco station. Our simulation ran from 6 October through 10 October 2005, which was concurrent with long term meteorological observations. Evaluation against boundary layer meteorological tower measurements and flux observations showed that the model captured the observed 2 m temperature and 10 m winds reasonably well in the sensitive experiment. The results suggested that output snow depth maximum amounts from two simulated experiments were centered downwind shore of Namco lake. Modified surface parameters for example surface skin temperature on the lake help to increase simulated credibility.

scholarly journals Spatio-Temporal Change of Snow Cover and Its Response to Climate over the Tibetan Plateau Based on an Improved Daily Cloud-Free Snow Cover Product

2014 ◽  
Vol 7 (1) ◽  
pp. 169-194 ◽  
Author(s):  
Wei Wang ◽  
Xiaodong Huang ◽  
Jie Deng ◽  
Hongjie Xie ◽  
Tiangang Liang
Keyword(s):  
Tibetan Plateau ◽  
Snow Cover ◽  
Temporal Change ◽  
The Tibetan Plateau ◽  
Spatio Temporal

scholarly journals Spatio-temporal dynamics of evapotranspiration on the Tibetan Plateau from 2000 to 2010

2017 ◽  
Vol 12 (1) ◽  
pp. 014011 ◽  
Author(s):  
Lulu Song ◽  
Qianlai Zhuang ◽  
Yunhe Yin ◽  
Xudong Zhu ◽  
Shaohong Wu
Keyword(s):  
Tibetan Plateau ◽  
Temporal Dynamics ◽  
The Tibetan Plateau ◽  
Spatio Temporal
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