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

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.

Download Full-text

A New Fusion Algorithm for Simultaneously Improving Spatio-temporal Continuity and Quality of Remotely Sensed Soil Moisture over the Tibetan Plateau

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2020.3043336 ◽

2020 ◽

pp. 1-1

Author(s):

Yaokui Cui ◽

Chao Zeng ◽

Xi Chen ◽

Wenjie Fan ◽

Haijiang Liu ◽

...

Keyword(s):

Soil Moisture ◽

Tibetan Plateau ◽

Remotely Sensed ◽

The Tibetan Plateau ◽

Fusion Algorithm ◽

Temporal Continuity ◽

Spatio Temporal

Download Full-text

Snow distribution over the Namco lake area of the Tibetan Plateau

Hydrology and Earth System Sciences ◽

10.5194/hess-13-2023-2009 ◽

2009 ◽

Vol 13 (11) ◽

pp. 2023-2030 ◽

Cited By ~ 36

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.

Download Full-text

Spatio-Temporal Characteristics of Global Warming in the Tibetan Plateau during the Last 50 Years Based on a Generalised Temperature Zone - Elevation Model

PLoS ONE ◽

10.1371/journal.pone.0060044 ◽

2013 ◽

Vol 8 (4) ◽

pp. e60044 ◽

Cited By ~ 21

Author(s):

Yanqiang Wei ◽

Yiping Fang

Keyword(s):

Global Warming ◽

Tibetan Plateau ◽

The Tibetan Plateau ◽

Temperature Zone ◽

Temporal Characteristics ◽

Spatio Temporal ◽

Elevation Model

Download Full-text

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

10.5194/egusphere-egu2020-20846 ◽

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

Abstract: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 &#8220;The third pole of the world&#8221; and &#8220;Asia&#8217;s water towers&#8221;, 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&#8211;2015) Spatio-temporal continuum remotely sensed soil moisture of the TP at 0.25&#176; 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 R2 larger than 0.65, and RMSE less than 0.08 cm3 cm-3 and Bias less than 0.07 cm3 cm-3 at 0.25&#176; and 1&#176; spatial scale, compared with the in-situ measurements in the central of TP. And then, spatial&#160;and&#160;temporal&#160;characteristics and trend of SM over TP were analyzed based on this dataset.Keywords: Soil moisture; Remote Sensing; Dataset; GRNN; ECV; Tibetan Plateau

Download Full-text

Snow distribution over the Namco lake area of the Tibetan Plateau

Hydrology and Earth System Sciences Discussions ◽

10.5194/hessd-6-843-2009 ◽

2009 ◽

Vol 6 (1) ◽

pp. 843-857 ◽

Cited By ~ 1

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.

Download Full-text