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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wenlong Jing Min Feng Yaping Yang Heli Lu |
| Copyright Year | 2013 |
| Description | Author affiliation: Inst. of Geographic Sci. & Natural Resources Res., Beijing, China (Min Feng; Yaping Yang) || Key Lab. of Geospatial Technol. for the Middle & Lower Yellow River Regions, Kaifeng, China (Wenlong Jing; Heli Lu) |
| Abstract | Air temperature near the surface is an important controlling parameter for land surface processes, and is crucial to ecological, environmental, and hydrological modeling. Temperature records observed at meteorological stations have been widely used, but there has been an increasing need for temperature data in grid for modeling especially those using remote sensing data. Although grid temperature can be estimated from in-situ temperature records using interpolation algorithm, low accuracy has been found in the estimation due to limited ground stations, especially when there were insufficient sites to represent all land cover types and terrain conditions in the area. NCEP/NCAR reanalysis project produced climate variables uses a frozen state-of-art global data assimilation system and a database as complete as possible. Although resolution of the NCEP data has a coarse resolution (0.5 degree), it provides global, consistent, and long term estimation of climate variables. This paper presents a downscaling approach for deriving monthly temperature at 1km resolution from the NCEP by utilizing derived relationships between monthly aggregated NCEP temperature and other ground elements, such as terrain, vegetation, and geographic locations. Regression tree model was chosen for detecting the possible relationships. Monthly temperature with 1km resolution for China land area has been produced using the approach. The final predicted temperatures were compared with observed records at 380 meteorological stations in China. The results indicated that the downscaled estimations can represent the spatial distribution and trends and the magnitude of temperature in inter-month, with $R^{2}ranging$ from 0.861 to 0.948, and RMSE from 1.88°C to 2.681°C. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 1446711 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467362283 |
| ISSN | 2161024X |
| DOI | 10.1109/Geoinformatics.2013.6626193 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | NCEP/NCAR Temperature distribution Temperature Land surface Predictive models Land surface temperature Surface topography Downscaling NDVI DEM Surface treatment Temperature sensors China |
| Content Type | Text |
| Resource Type | Article |
| Subject | Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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