The spatiotemporal patterns of surface soil moisture in Northeast China based on remote sensing products

Journal of Water and Climate Change

Volumn 7, Issue 4, 2016, Pages 708-720

  Zheng, Xingming ^a,b   Zhao, Kai ^a,b   Ding, Yanling ^a,c   Jiang, Tao ^a,b   Zhang, Shiyi ^a,b   Jin, Mengjie ^a  

^a NORTHEAST INSTITUTE OF GEOGRAPHY AND AGRICULTURAL ECOLOGY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c NORTHEAST NORMAL UNIVERSITY   (China)

Author keywords

Climate change; Microwave remote sensing; Spatiotemporal dynamics; Surface soil moisture

Indexed keywords

DYNAMICS; REMOTE SENSING; SOIL MOISTURE;

MICROWAVE REMOTE SENSING; REMOTE SENSING DATA; SEASONAL DIFFERENCES; SPATIAL VARIANCE; SPATIO-TEMPORAL DYNAMICS; SPATIOTEMPORAL PATTERNS; SURFACE SOIL MOISTURE; TEMPORAL DYNAMICS;

CLIMATE CHANGE;

AUTUMN; CLIMATE CHANGE; REMOTE SENSING; SOIL MOISTURE; SPATIAL VARIATION; SPATIOTEMPORAL ANALYSIS; SPRING (SEASON); WARMING;

CHINA;

EID: 85002887954     PISSN: 20402244     EISSN: None     Source Type: Journal    
DOI: 10.2166/wcc.2016.106     Document Type: Article

References (23)

1. Brocca, L., Morbidelli, R., Melone, F. & Moramarco, T. 2007 Soil moisture spatial variability in experimental areas of central Italy. J. Hydrol. 333, 356–373.
2. Chahine, T. M. 1992 The hydrological cycle and its influence on climate. Nature 359, 373–380.
3. de Rosnay, P., Drusch, M., Boone, A., Balsamo, G., Decharme, B., Harris, P., Kerr, Y., Pellarin, T., Polcher, J. & Wigneron, J. P. 2009 AMMA Land surface model intercomparison experiment coupled to the community microwave emission model: ALMIP-MEM. J. Geophys. Res. 114, D05108.
4. Dorigo, W. A., Gruber, A., De Jeu, R. A. M., Wagner, W., Stacke, T., Loew, A., Albergel, C., Brocca, L., Chung, D., Parinussa, R. M. & Kidd, R. 2015 Evaluation of the ESA CCI soil moisture product using ground-based observations. Remote Sens. Environ. 162, 380–395.
5. Famiglietti, J. S., Ryu, D., Berg, A. A., Rodell, M. & Jackson, T. J. 2008 Field observations of soil moisture variability across scales. Water Resour. Res. 44, W01423.
6. Huang, Y. & Ding, Y. 2007 Temporal and spatial characteristics of summer soil moisture vertical distribution in northeast China. Sci. Meteorol. Sinica 27 (3), 259–265 (in Chinese).
7. Jung, M., Reichstein, M., Ciais, P., Seneviratne, S. I., Sheffield, J., Cescatti, A., Goulden, M. L., Bonan, G., Chen, J., de Jeu, R., Dolman, A. J., Eugster, W., Gerten, D., Gianelle, D., Gobron, N., Heinke, J., Kimball, J., Law, B. E., Montagnani, L., Mu, Q., Mueller, B., Oleson, K., Papale, D., Richardson, A. D., Roupsard, O., Running, S., Tomelleri, E., Viovy, N., Weber, U., Williams, C., Wood, E., Zaehle, S. & Zhang, K. 2010 Recent decline in the global land evapotranspiration trend due to limited moisture supply. Nature 467, 951–954.
8. Li, B. & Rodell, M. 2013 Spatial variability and its scale dependency of observed and modeled soil moisture over different climate regions. Hydrol. Earth Syst. Sci. 17, 1177–1188.
9. Li, A., Lu, Q., Yang, X. & Zhang, J. 2013 AMSR-E soil moisture compared with ECMWF and NCEP soil moisture. Remote Sens. Technol. Appl. 28 (4), 666–673 (in Chinese).
10. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., de Jeu, R. A. M., Wagner, W., Van Dijk, A. I. J. M., McCabe, M. F. & Evans, J. P. 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrol. Earth Syst. Sci. 15 (2), 425–436.
11. Liu, Y. Y., Dorigo, W. A., Parinussa, R. M., De Jeu, R. A. M., Wagner, W., McCabe, M. F., Evans, J. P. V. & van Dijk, A. I. J. M. 2012 Trend-preserving blending of passive and active microwave soil moisture retrievals. Remote Sens. Environ. 123, 280–297.
12. Liu, Q., Du, J., Shi, J. & Jiang, L. 2013 Analysis of spatial distribution and multi-year trend of the remotely sensed soil moisture on the Tibetan Plateau. Sci. China Earth Sci. 56, 2173–2185.
13. Mittelbach, H. & Seneviratne, S. I. 2012 A new perspective on the spatio-temporal variability of soil moisture: temporal dynamics versus time invariant contributions. Hydrol. Earth Syst. Sci. 16, 2169–2179.
14. Owe, M., deJeu, R. A. M. & Holmes, T. R. H. 2008 Multisensor historical climatology of satellite-derived global land surface moisture. J. Geophys. Res. Earth Surf. 113, F01002.
15. Rötzer, K., Montzka, C. & Vereecken, H. 2015 Spatio-temporal variability of global soil moisture products. J. Hydrol. 522, 187–202.
16. The Writing Committee 2012 Northeast Regional Climate Change Assessment Report. China Meteorological Press, Beijing.
17. Wagner, W., Lemoine, G. & Rott, H. 1999 A method for estimating soil moisture from ERS scatterometer and soil data. Remote Sens. Environ. 70, 191–207.
18. Wagner, W., Dorigo, W., de Jeu, R., Fernandez, D., Benveniste, J., Haas, E. & Ertl, M. 2012 Fusion of Active and Passive Microwave Observations to Create an Essential Climate Variable Data Record on Soil Moisture. XXII ISPRS Congress, Melbourne, Australia, pp. 315–321.
19. Zeng, J., Li, Z., Chen, Q., Bi, H., Qiu, J. & Zou, P. 2015 Evaluation of remotely sensed and reanalysis soil moisture products over the Tibetan Plateau using in-situ observations. Remote Sens. Environ. 163, 91–110.
20. Zhang, J., Qian, W. & Ding, T. 2010 Characteristics and trends of rainfall events in northeast China from May to September during 1956–2008. Meteorol. Month. 36 (8), 1–7 (in Chinese).
21. Zhang, Y., Wang, X., Pan, Y., Wang, Z. & Hu, R. 2011 The dependence of surface albedo on soil moisture in an arid desert area. J. Desert Res. 31 (5), 1141–1148 (in Chinese).
22. Zheng, X. & Zhao, K. 2010 A method for surface roughness parameter estimation in passive microwave remote sensing. Chin. Geog. Sci. 20, 345–352.
23. Zuo, Z. & Zhang, R. 2008 Temporal and spatial features of the soil moisture in boreal spring in eastern China. Sci. China D Earth Sci. 38 (11), 1428–1437.