Monitoring and simulation of water, heat, and CO2 fluxes in terrestrial ecosystems based on the APEIS-FLUX system

doi:10.1360/gs050201

Abstract

Abstract:

The Integrated Environmental Monitoring (IEM) project, part of the Asia-Pacific Environmental Innovation Strategy (APEIS) project, developed an integrated environmental monitoring system that can be used to detect, monitor, and assess environmental disasters, degradation, and their impacts in the Asia-Pacific region. The system primarily employs data from the moderate resolution imaging spectrometer (MODIS) sensor on the Earth Observation System- (EOS-) Terra/Aqua satellite, as well as those from ground observations at five sites in different ecological systems in China. From the preliminary data analysis on both annual and daily variations of water, heat and CO₂ fluxes, we can confirm that this system basically has been working well. The results show that both latent flux and CO₂ flux are much greater in the crop field than those in the grassland and the saline desert, whereas the sensible heat flux shows the opposite trend. Different data products from MODIS have very different correspondence, e.g. MODIS-derived land surface temperature has a close correlation with measured ones, but LAI and NPP are quite different from ground measurements, which suggests that the algorithms used to process MODIS data need to be revised by using the local dataset. We are now using the APEIS-FLUX data to develop an integrated model, which can simulate the regional water, heat, and carbon fluxes. Finally, we are expected to use this model to develop more precise high-order MODIS products in Asia-Pacific region.

Key words: APEIS-FLUX system, Asia-Pacific Environmental Innovation Strategy (APEIS), CO₂ flux, Integrated Environmental Monitoring (IEM), MODIS, water vapor flux

WATANABE Masataka, WANG Qinxue, HAYASHI Seiji, MURAKAMI ShogoLIU Jiyuan, OUYANG Zhu, LI Yan, LI Yingnian, WANG Kelin. Monitoring and simulation of water, heat, and CO₂ fluxes in terrestrial ecosystems based on the APEIS-FLUX system[J].Journal of Geographical Sciences, 2005, 15(2): 131-141.

References

[1] Andre J C, Goutorbe J P, Schmugge T et al., 1989. HAPEX-MOBILHY: results from a large-scale field experiment. In: A Rango (ed.), Remote Sensing and Large-scale Global Processes. Wallingford, UK, International Association of Hydrological Sciences, 13-20.

[2] Bolle H J, Andre J C, Arrue J L et al., 1993. FEDA: European field experiment in a desertification-threatened area. Annales Geophysicae, 11: 173-189.

[3] Cuenca R H, Brouwer J, Chanzy A J L et al., 1996. Soil measurements during HAPEX-Sahel Intensive Observation Period. J. Hydrol. (HAPEX-Sahel Special Issue).

[4] Desjardins R L, Schuepp P H, MacPherson J I, 1990. Spatial and temporal variations of CO₂, sensible and latent heat fluxes over the FIFE site. In: Proceedings of Symposium on FIFE, sponsored by American Meteorological Society, Anaheim, CA, February 7-9, 1990. 46-50.

[5] ECO ASIA, 2001. Towards a Sustainable Asia and the Pacific, Report of ECO ASIA Long-term Perspective Project Phase II, Published by the Institute for Global Environmental Strategies (IGES), Japan, pp166.

[6] GEWEX Continental-Scale International Project (GCIP) website, 2002. http://www.ogp.noaa.gov/mpe/gapp/gcip/

[7] Goutorbe J P, Lebel T, Tinga A J L et al., 1994. HAPEX-Sahel: a large scale study of land-atmosphere interactions in the semi-arid tropics. Ann. Geophys., 12: 53-64.

[8] Henderson-Sellers et al., 1995. The Project for Intercomparison of Land Surface Parameterization Schemes (PILPS) Phases 2 and 3. Bull. Amer. Meteorol. Soc., 76: 489-503.

[9] Henderson-Sellers et al., 1996. The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS): 1992 to 1995. Climate Dynamics, 12: 849-859.

[10] Holtslag A M, Ek M, 1996. The simulation of surface fluxes and boundary-layer development over the pine forest in HAPEX-MOBILHY. J. Appl. Meteorol., 35: 202-213.

[11] MA Secretariat, 2002. Millennium Ecosystem Assessment Methods, Penang, Malaysia. a) http://www.millenniumassessment.org/en/index.htm.

[12] Watanabe M, Liu J, Murakami S et al., 2002. Integrated Environmental Monitoring of the Asia-Pacific Region Asia-Pacific Environmental Innovation Strategy (APEIS): building scientific infrastructure for innovative policies for sustainable development. IHDP Update Newsletter of the International Human Dimensions Programme on Global Environmental Change, No.2.

[13] NASA MODIS team, 2001. MODIS Design Concept, USA. http://modis.gsfc.nasa.gov/about/design.html

[14] Noilhan J, Andre J C, Bougeault P et al., 1991. Some aspects of the HAPEX-MOBILHY programme: The data base and the modeling strategy. Surv. Geophys., 12: 31-61.

[15] Pinty J P, Mascart P, Richard E et al., 1989. An investigation of mesoscale flows by vegetation inhomogeneities using an evaporation model calibrated against HAPEX-MOBILHY data. J. Appl. Meteor., 28: 976-992.

[16] Pitman A J, Henderson-Sellers A, 1998. Recent progress and results from the project for the intercomparison of land surface parameterization schemes. J. Hydrology, 128-135.

[17] Sellers P, Hall F G, Margolis H et al., 1995. The Boreal Ecosystem-Atmospheric Study (BOREAS): an overview and early results from the 1994 field year. Bull. Amer. Meteor. Soc., 76: 1549-1577

[18] Sellers P J, Hall F G, Asrar G et al., 1992. An overview of the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE). J. Geophys. Res., 97: 18345-18371.

[19] Sellers P J, Hall F G, Asrar G et al., 1988. The first ISLSCP field experiment (FIFE). Bull. Amer. Meteor. Soc., 69: 22-27.

[20] Smith E A, Hsu A Y, Crosson W L et al., 1992. Area-averaged surface fluxes and their time-space variability over the FIFE experimental domain. J. Geophys. Res., 97: 18599-18622.

[21] Sun J, Mahrt L, 1995. Relationship of surface heat flux to microscale temperature variations: application to BOREAS. Bound.-Layer Meteor., 76: 291-301.

[22] UNEP, 2002. GEO-3: Global Environment Outlook. London: Earthscan, 416.

[23] United Nations, 1992. Agenda 21. New York: United Nations Publications.

[24] Wilson K, Goldstein A, Falge E et al., 2002. Energy balance closure at FLUXNET sites. Agricultural and Forest Meteorology, 113: 223-243.

Monitoring and simulation of water, heat, and CO₂ fluxes in terrestrial ecosystems based on the APEIS-FLUX system

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 12

Metrics

Comments

Recommended 0

[1]	FU Shiwen, NIE Suping, LUO Yong, CHEN Xin. Implications of diurnal variations in land surface temperature to data assimilation using MODIS LST data [J]. Journal of Geographical Sciences, 2020, 30(1): 18-36.
[2]	Miaomiao QI, Xiaojun YAO, Xiaofeng LI, Hongyu DUAN, Yongpeng GAO, Juan LIU. Spatiotemporal characteristics of Qinghai Lakeice phenology between 2000 and 2016 [J]. Journal of Geographical Sciences, 2019, 29(1): 115-130.
[3]	Huimin YAN, Fang LIU, Zhongen NIU, Fengxue GU, Yanzhao YANG. Changes of multiple cropping in Huang-Huai-Hai agricultural region, China [J]. Journal of Geographical Sciences, 2018, 28(11): 1685-1699.
[4]	Jun CHEN, Changqing *KE, Xiaobing ZHOU, Zhude SHAO, Lanyu LI. Surface velocity estimations of ice shelves in the northern Antarctic Peninsula derived from MODIS data [J]. Journal of Geographical Sciences, 2016, 26(2): 243-256.
[5]	Zhengjia LIU, Quanqin SHAO, Jian TAO, Wenfeng CHI. Intra-annual variability of satellite observed surface albedo associated with typical land cover types in China [J]. Journal of Geographical Sciences, 2015, 25(1): 35-44.
[6]	YAO Yonghui, ZHANG Baiping. MODIS-based estimation of air temperature of the Tibetan Plateau [J]. , 2013, 23(4): 627-640.
[7]	AGUIRRE-SALADO Carlos Arturo, TREVIŇO-GARZA Eduardo Javier, AGUIRRE-CALDERÓN Oscar Alberto, JIMÉNEZ-PÉREZ Javier, GONZÁLEZ-TAGLE Marco Aurelio, VALDEZ-LAZALDE José\|René, MIRANDA-ARAGÓN Liliana, AGUIRRE-SALADO Alejandro Iván. Construction of aboveground biomass models with remote sensing technology in the intertropical zone in Mexico [J]. Journal of Geographical Sciences, 2012, 22(4): 669-680.
[8]	YAO Yonghui, ZHANG Baiping. MODIS-based air temperature estimation in the southeastern Tibetan Plateau and neighboring areas [J]. Journal of Geographical Sciences, 2012, 22(1): 152-166 .
[9]	CAI Hongyan, ZHANG Shuwen, BU Kun, YANG Jiuchun, CHANG Liping. Integrating geographical data and phenological characteristics derived from MODIS data for improving land cover mapping [J]. Journal of Geographical Sciences, 2011, 21(4): 705-718.
[10]	XING Xiaoxu, XU Xingliang, ZHANG Xianzhou, ZHOU Caiping, SONG Minghua, SHAO Bin, *OUYANG Hua. Simulating net primary production of grasslands in northeastern Asia using MODIS data from 2000 to 2005 [J]. Journal of Geographical Sciences, 2010, 20(2): 193-204.
[11]	WANG Liwen, WEI Yaxing, NIU Zheng. Spatial and temporal variations of vegetation in Qinghai Province based on satellite data [J]. Journal of Geographical Sciences, 2008, 18(1): 73-84.
[12]	YU Xinfang, ZHUANG Dafang, HOU Xiyong, CHEN Hua. Forest phenological patterns of Northeast China inferred from MODIS data [J]. Journal of Geographical Sciences, 2005, 15(2): 239-246.