机译:一种新的混合时空模型,用于使用高分辨率气溶胶光学深度数据估算美国东北部多年的每日PM_(2.5)浓度
Department of Geography and Environmental Development, Ben-Gurion University of the Negev, P.O.B. 653, Beer Sheva, Israel;
Department of Geography and Human Environment, Tel-Aviv University, Israel;
Department of Environmental Health - Exposure, Epidemiology and Risk Program, Harvard School of Public Health, Landmark Center, 401 Park Drive West, Boston, MA 02215, USA;
Department of Environmental Health - Exposure, Epidemiology and Risk Program, Harvard School of Public Health, Landmark Center, 401 Park Drive West, Boston, MA 02215, USA;
Department of Environmental Health - Exposure, Epidemiology and Risk Program, Harvard School of Public Health, Landmark Center, 401 Park Drive West, Boston, MA 02215, USA;
Department of Biostatistics, Harvard School of Public Health, Boston, MA 02215, USA;
GEST/UMBC, NASA Goddard Space Flight Center, Baltimore, MD, USA;
University of Maryland Baltimore County, Baltimore, MD, USA;
Department of Environmental Health - Exposure, Epidemiology and Risk Program, Harvard School of Public Health, Landmark Center, 401 Park Drive West, Boston, MA 02215, USA;
Air pollution; Aerosol optical depth (AOD); Epidemiology; PM_(2.5); Exposure error; High resolution aerosol retrieval; MAIAC;
机译:使用高分辨率卫星气溶胶光学深度估计墨西哥城的每日PM_(2.5)地理分布
机译:结合长期的基于卫星的气溶胶光学深度,局部土地利用数据和气象变量,以估算2005年至2015年台湾地面PM_(2.5)浓度
机译:基于Himawari 8气溶胶光学深度数据的中国每小时PM_(2.5)堆积机器学习模型
机译:使用高分辨率卫星气溶胶光学深度预测德克萨斯州的每日PM_(2.5)浓度
机译:使用ECMWF GEMS每日气溶胶光学深度再分析数据评估纽约州立大学卫星到辐射模型的性能。
机译:一种新的混合时空模型用于使用高分辨率气溶胶光学深度数据估算美国东北部每天的多年PM2.5浓度
机译:估计中国西安的PM2.5,利用NPP VIIRS数据的气溶胶光学深度和气象测量