DOI: 10.1002/joc.5282
论文题名: Assessment of NASA/POWER satellite-based weather system for Brazilian conditions and its impact on sugarcane yield simulation
作者: Monteiro L.A. ; Sentelhas P.C. ; Pedra G.U.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 3 起始页码: 1571
结束页码: 1581
语种: 英语
英文关键词: Agricultural planning
; Climatic variability
; Crop simulation models
; Potential and attainable yields
; Weather databases
Scopus关键词: Agriculture
; Atmospheric temperature
; Database systems
; Energy resources
; Mean square error
; Meteorology
; Weather information services
; Agricultural planning
; Climatic variability
; Crop simulation model
; Potential and attainable yields
; Weather database
; NASA
; agrometeorology
; air temperature
; crop yield
; data management
; database
; satellite data
; simulation
; sugar cane
; weather station
; Brazil
英文摘要: The gridded database provided by National Aeronautics and Space Administration/Prediction of World Wide Energy Resources (NASA/POWER) presents a global coverage of complete weather data at horizontal resolution of 1 latitude–longitude, becoming a potential source for agrometeorological studies. Once Brazil is a country with continental dimensions and the major sugarcane world producer, and its density of ground weather stations suitable for an efficient agricultural planning is sparse, the objectives of this study were to test how robust is the NASA/POWER database through its comparison with the Brazilian ground weather stations network records (INMET) and to quantify the impacts on potential (Yp) and attainable (Yatt) sugarcane yield simulations when setting NASA/POWER as source of input weather data. The comparisons for weather data records and sugarcane yield simulations were carried out from 1997 to 2016. Statistical indices presented a satisfactory performance for average air temperature (R2 =0.73; d =0.91), minimum air temperature (R2 =0.72; d =0.91), maximum air temperature (R2 =0.57; d =0.84), solar radiation (SR) (R2 =0.71; d =0.92), sunshine hours (R2 =0.68; d =0.90) and reference evapotranspiration, when calculated through Priestley–Taylor (ETo-PT) method (R2 =0.76; d =0.93). When the weather variables were aggregated and compared with a 10-day time scale, a strong improvement of statistical indices was obtained. Yp presented root mean square error (RMSE) smaller than 10 t ha− 1 while relative mean error (RME) ranged between ±10% for majority of grid cells, with exception for southern Brazil due to low and frost temperatures that satellite cannot capture accurately. Even NASA/POWER offering a relatively coarse grid size database and perhaps some regional data fitting would give better results at higher latitudes and elevation. The results found in this study proved that NASA/POWER products could be used as a source of climatic data for agricultural activities with a reasonable confidence for regional and national spatial scales. © 2017 Royal Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/117136
Appears in Collections: 气候减缓与适应
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作者单位: World Meteorological Organization, Brasilia, Brazil; Department of Biosystems Engineering, ESALQ, University of São Paulo, Piracicaba, Brazil
Recommended Citation:
Monteiro L.A.,Sentelhas P.C.,Pedra G.U.. Assessment of NASA/POWER satellite-based weather system for Brazilian conditions and its impact on sugarcane yield simulation[J]. International Journal of Climatology,2018-01-01,38(3)