Numerical simulations of the atmospheric and land conditions over the Jinta oasis in northwestern China with satellite‐derived land surface parameters

Meng, Xianhong; Lü, Sihua; Zhang, Tangtang; Guo, Jiixin; Gao, Yanhong; Bao, Yan; Wen, Li; Luo, Siqi; Liu, Yuanpu

doi:10.1029/2008jd010360

Cited by 36 publications

(50 citation statements)

References 31 publications

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“…Satellite data such as land use types, vegetation fraction cover and surface-layer soil moisture were derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) which gathers data in 36 spectral bands on board the Terra (EOS AM) and Aqua (EOS PM) satellites. Details of the processing and application for the satellite data can be found in the work of Meng et al (2009).…”

Section: Datasetsmentioning

confidence: 99%

“…Once the turbulence is strong enough to break up the secondary circulation driven by the thermal heterogeneity between the oasis and the desert, water and heat exchange between the oasis and the desert will be enhanced and water vapor over the oasis will flow into the surrounding desert. It will lead to a drier oasis and may even drive the oasis into water deficiency and soil desertification (Meng et al, 2009).…”

Section: Mesoscale Circulationmentioning

confidence: 99%

“…They concluded that the increased heterogeneity in the model led to substantial, nonlinear changes in temporal evaluations and spatial patterns of PBL dynamic and thermodynamic processes. Meng et al (2009) improved meteorological simulations in the Jinta Oasis in Northwest China by involving satellite data, especially to describe the inhomogeneous characteristics over the oasis.…”

Section: Introductionmentioning

confidence: 99%

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Impacts of inhomogeneous landscapes in oasis interior on the oasis self-maintenance mechanism by integrating numerical model with satellite data

Meng

Lü

Zhang

et al. 2012

Hydrol. Earth Syst. Sci.

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Abstract. The impacts of inhomogeneity of the oasis interior on the oasis self-maintenance mechanism are investigated by using the mesoscale model MM5 (the fifth-generation Pennsylvania State University National Center for Atmospheric Research (NCAR) mesoscale model) with satellite observations of land use types, vegetation fraction and surface-layer soil moisture from MODIS (Moderate Resolution Imaging Spectroradiometer) data. Four simulations were performed, among which the CTL (control simulation) and MOD (moderated simulation with parameters replaced by MODIS data) were used to validate the model results; EXP1 (experiment 1) and EXP2 (experiment 2) were designed to study the inhomogeneity of oasis interior. Results show that the changes of oasis heterogeneity influence the surface heat-flux partitioning, which leads to a larger "cold-wet" effect over the oasis. Vertical sections of humidity illustrate the existence of a moisture-inversion level, and the deeper moisture inversion of EXP1 and EXP2 further indicates that the relative homogeneity in the oasis interior helps produce stronger humidity inversion over the oasis, thus limiting evaporation. This is further verified by the analysis of the secondary circulation, which shows that the more homogeneous land surface conditions lead to stronger secondary circulation and less turbulent drafts over the oasis interior, playing a positive role in the oasis self-maintenance and development.

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Section: Datasetsmentioning

confidence: 99%

Section: Mesoscale Circulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impacts of inhomogeneous landscapes in oasis interior on the oasis self-maintenance mechanism by integrating numerical model with satellite data

Meng

Lü

Zhang

et al. 2012

Hydrol. Earth Syst. Sci.

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“…In this area, explore the climatic effects of land use cover change (LUCC) [14,37,[40][41][42][43]. The results from the simulations using actual albedo, LAI, and VF indicated that LUCC led to local cooling of 1 • C in the summer and local warming exceeding 0.8 • C in the winter.…”

Section: Introductionmentioning

confidence: 99%

Improved Atmospheric Modelling of the Oasis-Desert System in Central Asia Using WRF with Actual Satellite Products

et al. 2017

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Abstract:Because of the use of outdated terrestrial datasets, regional climate models (RCMs) have a limited ability to accurately simulate weather and climate conditions over heterogeneous oasis-desert systems, especially near large mountains. Using actual terrestrial datasets from satellite products for RCMs is the only possible solution to the limitation; however, it is impractical for long-period simulations due to the limited satellite products available before 2000 and the extremely time-and labor-consuming processes involved. In this study, we used the Weather Research and Forecasting (WRF) model with observed estimates of land use (LU), albedo, Leaf Area Index (LAI), and green Vegetation Fraction (VF) datasets from satellite products to examine which terrestrial datasets have a great impact on simulating water and heat conditions over heterogeneous oasis-desert systems in the northern Tianshan Mountains. Five simulations were conducted for 1-31 July in both 2010 and 2012. The decrease in the root mean squared error and increase in the coefficient of determination for the 2 m temperature (T2), humidity (RH), latent heat flux (LE), and wind speed (WS) suggest that these datasets improve the performance of WRF in both years; in particular, oasis effects are more realistically simulated. Using actual satellite-derived fractional vegetation coverage data has a much greater effect on the simulation of T2, RH, and LE than the other parameters, resulting in mean error correction values of 62%, 87%, and 92%, respectively. LU data is the primary parameter because it strongly influences other secondary land surface parameters, such as LAI and albedo. We conclude that actual LU and VF data should be used in the WRF for both weather and climate simulations.

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“…Gates et al, 2008a;Ma et al, 2008Ma et al, , 2009Ma et al, , 2012Huang and Wen, 2014) and atmosphericcirculation modelling studies (e.g. Gao et al, 2004;Chu et al, 2005;Meng et al, 2009Meng et al, , 2012Meng et al, , 2015Wen et al, 2012). Many of these studies involve coarse spatio-temporal resolutions.…”

Section: Introductionmentioning

confidence: 99%

Relating seasonal dynamics of enhanced vegetation index to the recycling of water in two endorheic river basins in north-west China

Matin

Bourque

2015

Hydrol. Earth Syst. Sci.

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Abstract. This study associates the dynamics of enhanced vegetation index in lowland desert oases to the recycling of water in two endorheic (hydrologically closed) river basins in Gansu Province, north-west China, along a gradient of elevation zones and land cover types. Each river basin was subdivided into four elevation zones representative of (i) oasis plains and foothills, and (ii) low-, (iii) mid-, and (iv) highmountain elevations. Comparison of monthly vegetation phenology with precipitation and snowmelt dynamics within the same basins over a 10-year period (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009) suggested that the onset of the precipitation season (cumulative % precipitation > 7-8 %) in the mountains, typically in late April to early May, was triggered by the greening of vegetation and increased production of water vapour at the base of the mountains. Seasonal evolution of in-mountain precipitation correlated fairly well with the temporal variation in oasisvegetation coverage and phenology characterised by monthly enhanced vegetation index, yielding coefficients of determination of 0.65 and 0.85 for the two basins. Convergent cross-mapping of related time series indicated bi-directional causality (feedback) between the two variables. Comparisons between same-zone monthly precipitation amounts and enhanced vegetation index provided weaker correlations. Start of the growing season in the oases was shown to coincide with favourable spring warming and discharge of meltwater from low-to mid-elevations of the Qilian Mountains (zones 1 and 2) in mid-to-late March. In terms of plant requirement for water, mid-seasonal development of oasis vegetation was seen to be controlled to a greater extent by the production of rain in the mountains. Comparison of water volumes associated with in-basin production of rainfall and snowmelt with that associated with evaporation seemed to suggest that about 90 % of the available liquid water (i.e. mostly in the form of direct rainfall and snowmelt in the mountains) was recycled locally.

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Numerical simulations of the atmospheric and land conditions over the Jinta oasis in northwestern China with satellite‐derived land surface parameters

Cited by 36 publications

References 31 publications

Impacts of inhomogeneous landscapes in oasis interior on the oasis self-maintenance mechanism by integrating numerical model with satellite data

Impacts of inhomogeneous landscapes in oasis interior on the oasis self-maintenance mechanism by integrating numerical model with satellite data

Improved Atmospheric Modelling of the Oasis-Desert System in Central Asia Using WRF with Actual Satellite Products

Relating seasonal dynamics of enhanced vegetation index to the recycling of water in two endorheic river basins in north-west China

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