利用1981年-2010年西北地区夏季降水观测数据和MEERA(Modem-Era Retrospective Analysis for Research and Applications)再分析资料,耦合DEM(Digital Elevation Model)数据,采用基于区域分月的多元回归算法,建立模型进行降水估算。结...利用1981年-2010年西北地区夏季降水观测数据和MEERA(Modem-Era Retrospective Analysis for Research and Applications)再分析资料,耦合DEM(Digital Elevation Model)数据,采用基于区域分月的多元回归算法,建立模型进行降水估算。结果表明,6月、7月、8月和夏季平均绝对误差分别为8.0 mm、8.0 mm、7.9 mm、20.8mm,平均相对误差分别为19.0%、14.4%、22.2%、15.0%,模型估算结果较MERRA降水资料误差明显减小。模型估算结果不仅保持着原始MERRA降水产品的分布特征,而且可以精细反映局部降水分布特征。展开更多
The sulfur pollutants are the source of a sizeable portion of the air pollution. In this work, the recent spatiotemporal distribution and trend of the mass concentration of two of the critical sulfur pollutants, SO2 a...The sulfur pollutants are the source of a sizeable portion of the air pollution. In this work, the recent spatiotemporal distribution and trend of the mass concentration of two of the critical sulfur pollutants, SO2 and SO4, in addition to the aerosol optical properties (AOD) were analyzed over the region of the Middle East and North Africa (MENA) from satellite and Modern Era-Retrospective Analysis for Research and Applications version 2 (MERRA-2) reanalysis data. The SO2 and SO4 data used in these analyses are obtained from (MERRA-2) with a resolution of 0.5° × 0.625° throughout a period of 10 years (2005-2015). On the other hand, the temporal trend and spatial distribution of AOD were identified from four different satellite data. 1) moderate-resolution imaging spectroradiometer (MODIS) Level 3 AOD data at 550 nm wavelengths from Collection 6 algorithm (combined dark target and deep blue algorithms) are used for 10 years temporal analysis (2006-2015). 2) Multi-angle imaging spectroradiometer (MISR) with 0.5 deg spatial resolution for the same 10 years (2006-2015). 3) Sea-Viewing Wide Field-of-View Sensor (SeaWIFS) with 0.5 deg for the period (2005-2010). 4) Ozone Monitoring Instrument (OMI) AOD at 500 nm wavelength with resolution 1 degree. This study presents more resent 10 years of Spatiotemporal of SO2, SO4 and AOD over MENA domain.展开更多
文摘利用1981年-2010年西北地区夏季降水观测数据和MEERA(Modem-Era Retrospective Analysis for Research and Applications)再分析资料,耦合DEM(Digital Elevation Model)数据,采用基于区域分月的多元回归算法,建立模型进行降水估算。结果表明,6月、7月、8月和夏季平均绝对误差分别为8.0 mm、8.0 mm、7.9 mm、20.8mm,平均相对误差分别为19.0%、14.4%、22.2%、15.0%,模型估算结果较MERRA降水资料误差明显减小。模型估算结果不仅保持着原始MERRA降水产品的分布特征,而且可以精细反映局部降水分布特征。
文摘The sulfur pollutants are the source of a sizeable portion of the air pollution. In this work, the recent spatiotemporal distribution and trend of the mass concentration of two of the critical sulfur pollutants, SO2 and SO4, in addition to the aerosol optical properties (AOD) were analyzed over the region of the Middle East and North Africa (MENA) from satellite and Modern Era-Retrospective Analysis for Research and Applications version 2 (MERRA-2) reanalysis data. The SO2 and SO4 data used in these analyses are obtained from (MERRA-2) with a resolution of 0.5° × 0.625° throughout a period of 10 years (2005-2015). On the other hand, the temporal trend and spatial distribution of AOD were identified from four different satellite data. 1) moderate-resolution imaging spectroradiometer (MODIS) Level 3 AOD data at 550 nm wavelengths from Collection 6 algorithm (combined dark target and deep blue algorithms) are used for 10 years temporal analysis (2006-2015). 2) Multi-angle imaging spectroradiometer (MISR) with 0.5 deg spatial resolution for the same 10 years (2006-2015). 3) Sea-Viewing Wide Field-of-View Sensor (SeaWIFS) with 0.5 deg for the period (2005-2010). 4) Ozone Monitoring Instrument (OMI) AOD at 500 nm wavelength with resolution 1 degree. This study presents more resent 10 years of Spatiotemporal of SO2, SO4 and AOD over MENA domain.
