DOI: 10.1002/2017JD027982
Scopus记录号: 2-s2.0-85047459372
论文题名: A Variational Merging Approach to the Spatial Description of Environmental Variables
作者: Ulloa J. ; Samaniego E. ; Campozano L. ; Ballari D.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 8 起始页码: 4027
结束页码: 4044
语种: 英语
英文关键词: image enhancement
; mapping
; merging methods
; variational formulation
Scopus关键词: environmental factor
; image processing
; image resolution
; interpolation
; mapping
; model
; precipitation (climatology)
; satellite data
; satellite imagery
; simulation
; temperature
; tropical region
; Andes
英文摘要: High-resolution images of environmental variables are highly valuable sources of information in research and environmental management. Obtaining spatially continuous information from ground observations is challenging due to the wide variety of factors that affect classical interpolation methods. While geostatistical methods have produced noteworthy results, they generally rely on important assumptions and strongly depend on the availability of observed data. In turn, satellite-based or model-based gridded images generally represent the global spatial structure of environmental variables but are subject to bias. With the objective of exploiting the benefits of both sources of information, we propose a new mathematical formulation to merge observed data with gridded images of environmental variables using partial differential equations in a variational setting. With a convenient functional, formed as the sum of two competing terms, two simultaneous goals are achieved: to improve the description of the spatial structure in maps generated by simple deterministic interpolation methods and to increase the reliability of satellite-based or model-based images. Either satellite-based or model-based information is included in a regularity term to provide the global spatial structure, while in situ data are included in a fidelity term. The resulting maps can be considered a merging of interpolated in situ data with satellite or model imagery. The method is first evaluated using simulated images generated by geostatistical simulation and then applied to actual temperature and precipitation data in selected regions in the Tropical Andes. The results indicate that the method is capable of generating realistic maps while performing well in terms of validation. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114060
Appears in Collections: 气候减缓与适应
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作者单位: Department of Civil Engineering, K.U. Leuven, Leuven, Belgium; Departamento de Recursos Hídricos y Ciencias Ambientales, Universidad de Cuenca, Cuenca, Ecuador; Facultad de Ingeniería, Universidad de Cuenca, Cuenca, Ecuador; Departamento de Ingeniería Civil y Ambiental, Escuela Politécnica Nacional, Quito, Ecuador; IERSE, Facultad de Ciencia y Tecnología, Universidad del Azuay, Cuenca, Ecuador
Recommended Citation:
Ulloa J.,Samaniego E.,Campozano L.,et al. A Variational Merging Approach to the Spatial Description of Environmental Variables[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(8)