Downscaling of surface air temperature over the Tibetan Plateau based on DEM

Ding, Lirong; Zhou, Ji; Zhang, Xiaodong; Liu, Shaomin; Cao, Ruyin

doi:10.1016/j.jag.2018.05.017

Cited by 40 publications

(26 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Following recent economic growth and enhancement of the awareness of sustainable development, attention toward global environmental issues related to climate change is increasing [6]. Precipitation and air temperature are important indicators of climate change [7,8]. For example, global surface precipitation has increased by approximately 2% during recent decades [9], while global surface air temperature has increased by 0.85 • C since preindustrial times [10].…”

Section: Introductionmentioning

confidence: 99%

Hydro-Meteorological Trends in the Yarlung Zangbo River Basin and Possible Associations with Large-Scale Circulation

Zuo

Ban

2020

Water

View full text Add to dashboard Cite

Climate change poses potential challenges to sensitive areas, such as high-elevation regions. The Yarlung Zangbo River (YLZR) basin is located in the southeast of the Qinghai-Tibetan Plateau. It contains large amounts of snow and numerous glaciers that are vulnerable to climate change. Based on daily observational data at 17 meteorological stations in and around the YLZR basin during 1957–2015, the variability of precipitation, air temperature, and streamflow were analyzed. The nonparametric Mann–Kendall test, Sen’s slope estimate method, cross wavelet transform (XWT), and wavelet coherence (WTC) were used to identify the annual seasonal trends. the abrupt changes of precipitation and air temperature, and their associations with large-scale circulation. The results showed that the YLZR basin experienced an overall rapid warming and wetting during the study period, with an average warming rate of 0.33 °C/10 a and wetting rate of 4.25 mm/10a, respectively. Abrupt change points in precipitation and air temperature occurred around the 1970s and 1990s, respectively. The abrupt change points of three hydrological stations occurred around the late 1960s and the late 1990s, respectively. The precipitation, annual average temperature, and the streamflow of the three hydrological stations were negatively correlated with the Pacific decadal oscillation (PDO) and the multivariate El Niño-Southern Oscillation (ENSO) index (MEI), reaching a significant level of 0.05.

show abstract

Section: Introductionmentioning

confidence: 99%

Hydro-Meteorological Trends in the Yarlung Zangbo River Basin and Possible Associations with Large-Scale Circulation

Zuo

Ban

2020

Water

View full text Add to dashboard Cite

show abstract

“…If the current pixel is on the edge of the image, the window is not complete and the existing pixels are selected. Pixels with valid T a and elevation in the moving window are selected as valid pixels [6] . Then the mean T a of the valid pixels in the moving window is calculated as the optimized T a of the central pixel as follows:

where T a ′ is optimized initial value of the T a ; T a-initial (i) is the initial T a the i-th pixel at the target resolution within the window; and m is the number of valid pixels in the window.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

A long-term 0.01° surface air temperature dataset of Tibetan Plateau

et al. 2018

Self Cite

View full text Add to dashboard Cite

The surface air temperature (Ta) dataset of the Tibetan Plateau is obtained by downscaling the China regional surface meteorological feature dataset (CRSMFD). It contains the daily mean Ta and 3-hourly instantaneous Ta. This dataset has a spatial resolution of 0.01°. Its time range for surface air temperature dataset is from 2000 to 2015. Spatial dimension of data: 73°E–106°E, 40°N–23°N. The Ta with a 0.01° can serve as an important input for the modeling of land surface processes, such as surface evapotranspiration estimation, agricultural monitoring, and climate change analysis.

show abstract

“…In the model application, the LST input of TG is always provided by MODIS products at coarse spatial resolutions, which may lose a large portion of topographic characteristics over mountainous areas [51]. The MTG model incorporates an elevationcorrected factor and a radiation-corrected factor into the TG model to address the effect of elevation on temperature [52,53] and characterize the contribution of the incoming solar radiation to the spatial variation in temperature [52,54], respectively.…”

Section: Improvement Of Mtg Over Tgmentioning

confidence: 99%

“…However, the~1 km resolution MODIS LST product may lose a large portion of topographic characteristics over mountainous areas [51], and thus the TG model is more suitable for relatively flat areas. To improve the GPP estimation from TG, Xie and Li [23] proposed a mountain TG model (MTG) by adding (1) an elevation-corrected factor for the effect of elevation on temperature [52,53] and (2) a radiation-corrected factor for the contribution of the incoming solar radiation to the spatial variations of temperature [52,54]. MTG has presented a better ability to capture the GPP variations than the TG model at sixteen mountainous sites [23].…”

Section: Introductionmentioning

confidence: 99%

Comparing Three Remotely Sensed Approaches for Simulating Gross Primary Productivity over Mountainous Watersheds: A Case Study in the Wanglang National Nature Reserve, China

Xie

Jin

et al. 2021

Remote Sensing

View full text Add to dashboard Cite

Light Use Efficiency (LUE), Vegetation Index (VI)-based, and process-based models are the main approaches for spatially continuous gross primary productivity (GPP) estimation. However, most current GPP models overlook the effects of topography on the vegetation photosynthesis process. Based on the structures of a two-leaf LUE model (TL-LUE), a VI-based model (temperature and greenness, TG), and a process-based model (Boreal Ecosystem Productivity Simulator, BEPS), three models, named mountain TL-LUE (MTL-LUE), mountain TG (MTG), and BEPS-TerrainLab, have been proposed to improve GPP estimation over mountainous areas. The GPP estimates from the three mountain models have been proven to align more closely with tower-based GPP than those from the original models at the site scale, but their abilities to characterize the spatial variation of GPP at the watershed scale are not yet known. In this work, the GPP estimates from three LUE models (i.e., MOD17, TL-LUE, and MTL-LUE), two VI-based models (i.e., TG and MTG), and two process-based models (i.e., BEPS and BEPS-TerrainLab) were compared for a mountainous watershed. At the watershed scale, the annual GPP estimates from MTL-LUE, MTG, and BTL were found to have a higher spatial variation than those from the original models (increasing the spatial coefficient of variation by 6%, 8%, and 22%), highlighting that incorporating topographic information into GPP models might improve understanding of the high spatial heterogeneity of the vegetation photosynthesis process over mountainous areas. Obvious discrepancies were also observed in the GPP estimates from MTL-LUE, MTG, and BTL, with determination coefficients ranging from 0.02–0.29 and root mean square errors ranging from 399–821 gC m−2yr−1. These GPP discrepancies mainly stem from the different (1) structures of original LUE, VI, and process models, (2) assumptions associated with the effects of topography on photosynthesis, (3) input data, and (4) values of sensitive parameters. Our study highlights the importance of considering surface topography when modeling GPP over mountainous areas, and suggests that more attention should be given to the discrepancy of GPP estimates from different models.

show abstract

Downscaling of surface air temperature over the Tibetan Plateau based on DEM

Cited by 40 publications

References 30 publications

Hydro-Meteorological Trends in the Yarlung Zangbo River Basin and Possible Associations with Large-Scale Circulation

Hydro-Meteorological Trends in the Yarlung Zangbo River Basin and Possible Associations with Large-Scale Circulation

A long-term 0.01° surface air temperature dataset of Tibetan Plateau

Comparing Three Remotely Sensed Approaches for Simulating Gross Primary Productivity over Mountainous Watersheds: A Case Study in the Wanglang National Nature Reserve, China

Contact Info

Product

Resources

About