Influencing factors of surface energy conversion in Northwest China and applicability of characteristic space method

doi:10.7522/j.issn.1000-694X.2022.00036

Journal of Desert Research ›› 2022, Vol. 42 ›› Issue (6): 1-13.DOI: 10.7522/j.issn.1000-694X.2022.00036

Influencing factors of surface energy conversion in Northwest China and applicability of characteristic space method

Lijuan Wang(), Ni Guo(), Sha Sha, Die Hu

Gansu Key Laboratory of Arid Climatic Change and Reducing Disaster / Key Laboratory of Arid Climatic Change and Disaster Reduction of CMA，Institute of Arid Meteorology，China Meteorological Administration，Lanzhou 730020，China

Received:2022-03-11 Revised:2022-04-07 Online:2022-11-20 Published:2023-01-09
Contact: Ni Guo

Abstract

Abstract:

Based on the measured ground data in 2009， the variation characteristics of latent heat （LE）， sensible heat （H_s） and the ratios of LE and Hs to net radiation （R_n） in different climatic regions with soil volume water content， soil temperature and incident radiation （R_s） are analyzed. Combined with the products of Moderate-resolution Imaging Spectroradiometer （MODIS） from 2000 to 2018， the applicability of characteristic space method in Northwest China is discussed. The results show that in the alpine humid area represented by Maqu station， the incident energy is always the dominant factor of LE. The slope ? used for LE estimation can be directly taken as 1.26. The estimated accuracy of LE depends on the retrieval result of R_n. In the semi-arid and semi-humid areas represented by SACOL station and Changwu station， when the incident energy is sufficient， the soil moisture becomes the dominant factor of LE， the slope ? estimated by the characteristic space method is significantly correlated with the measured value， and the estimated accuracy of ? will directly affect the estimated results of LE. Therefore， the characteristic space method is suitable for areas and periods with soil water content as the dominant factor of LE， and it should meet the negative correlation between vegetation index and land surface temperature. In addition， it should be noted that when selecting the study area of characteristic space method， it must ensure that the scatters of vegetation index and land surface temperature are in a regular "triangle".

Key words: surface energy flux, characteristic space method, soil volumetric water content, Priestley-Taylor

CLC Number:

P407.4

Lijuan Wang, Ni Guo, Sha Sha, Die Hu. Influencing factors of surface energy conversion in Northwest China and applicability of characteristic space method[J]. Journal of Desert Research, 2022, 42(6): 1-13.

Figures/Tables 12

Fig.1 Digital elevation map and geographical location of observation stations in the study area， the red triangle represents the observation stations

Fig.2 Schematic diagram of NDVI-LST triangular space

Fig.3 The change of correlation coefficient between NDVI and LST depending on soil volume water content of 5 cm depth and incident solar radiation

Fig.4 Regional distribution of correlation coefficient between NDVI and LST in Northwest China （except Xinjiang）， where A is in April and B is in August

Fig.5 Changes of soil volume water content at Maqu，SACOL and Changwu stations from June to September 2009

Fig.6 Changes of sensible and latent heat flux conversion ratio depending on soil temperature and volume water content of 5 cm depth at Maqu， SACOL and Changwu stations

Fig.7 Changes of sensible heat flux， latent heat flux and their conversion ratio depending on radiation at Maqu， SACOL and Changwu stations

Fig.8 Schematic diagram of different study areas. Roi1， Roi2 and Roi3 and their corresponding white rectangular boxes represent the scope of three different study areas respectively. The black line is the provincial boundary of Gansu Province， and the filling color is the NDVI distribution on the 163 day of 2009

Fig.9 NDVI-LST space of three different study areas in Fig.8

Fig.10 Comparison between latent heat flux estimated by triangle method and measured value at Maqu， SACOL and Changwu stations， where A and B are the LENL of Maqu station estimated based on Roi1 and Roi2 respectively， C and D are the LENL of SACOL and Changwu stations estimated based on Roi3 respectively

Fig.11 Comparison between the slope ?NL estimated by triangle method and measured value ? at Maqu， SACOL and Changwu stations， where A and B are the ?NL of Maqu station estimated based on Roi1 and Roi2 respectively， C and D are the ?NL of SACOL and Changwu stations estimated based on Roi3 respectively

Fig.12 Applicability of P-T methods in different climate zones， where A， B and C respect Maqu station， SACOL station and Changwu station respectively

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Influencing factors of surface energy conversion in Northwest China and applicability of characteristic space method

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