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Investigations of MODIS AOD and cloud properties with CERES sensor based net cloud radiative effect and a NOAA HYSPLIT Model over Bangladesh for the period 2001-2016

机译:基于CERES传感器的净云辐射效应和NOAA HYSPLIT模型在孟加拉国2001-2016年间的MODIS AOD和云特性研究

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The present study investigates the spatiotemporal characteristics of aerosol optical depth (AOD), cloud properties, and TOA (Top Of Atmosphere) Net Cloud Radiative Effect (Net CRE) using MODIS (Moderate Resolution Imaging Spectroradiometer) Terra and CERES (Clouds and the Earth's Radiant Energy System) products over Bangladesh for the period 2001-2016. This study also explores the backward trajectory using a HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory) model from the National Oceanic and Atmospheric Administration (NOAA) to discover the origins of air masses. Results show annual values of AOD (0.55), Cloud Fraction (CF, 0.66), CER (Cloud Effective Radius, 14.89), COT (Cloud Optical Thickness, 15.25), CTP (Cloud Top Pressure, 639.17), CTT (Cloud Top Temperature, 262.52), WV (Water Vapor, 4.48), and Net CRE (-13.06) over Bangladesh. A seasonally peak is recorded for AOD (0.64) in MAM while for CF (0.96), CER (17.24), COT (21.12), WV (6.86), and Net CRE (-34.44) the peak is in JJA, and for CTP (884.06) and CTT (28417) it is in DJF. By monthly the peak is recorded in June for AOD (0.73) and COT (24.86); for CER (17.87), WV (7.26), and Net CRE (-45.38) it is in July; for CF (0.97) it is in July/August; CTP (900.89) and for CTT (285.75) it is in February. Regression analysis shows annual increasing trends for AOD, CF, WV, COT, CTP, and CTT with negative trends for CER and Net CRE. AOD shows increasing trends in all seasons, whereas CF, CER and COT show increasing trends in DJF and MAM only. CTP and CTT show increasing trends in JJA and SON. WV shows an increasing trend in MAM, JJA, and DJF, whereas Net CRE shows an increasing trend in MAM and SON. Relationship study provides a better conclusion of AOD and cloud interaction based on the analysis of positive and negative correlation values over the study region. The backward trajectory indicated that the air masses originated from the Bay of Bengal, India, Nepal, Pakistan, and Iran. This study may be considered as a base document for further study on aerosols over Bangladesh using climate model simulation for the projection period.
机译:本研究使用MODIS(中等分辨率成像光谱仪)Terra和CERES(云与地球辐射)研究气溶胶光学深度(AOD),云特性和TOA(大气顶部)净云辐射效应(Net CRE)的时空特征。 2001-2016年期间孟加拉国的能源系统)产品。这项研究还使用美国国家海洋和大气管理局(NOAA)的HYSPLIT(混合单粒子拉格朗日综合轨迹)模型探索了向后轨迹,以发现气团的起源。结果显示AOD的年值(0.55),云层的分数(CF,0.66),CER(云的有效半径,14.89),COT(云的光学厚度,15.25),CTP(云的最高压力,639.17),CTT(云的最高温度) ,262.52),WV(水蒸气,4.48)和孟加拉国的净CRE(-13.06)。在MAM中记录到AOD(0.64)的季节性峰值,而CF(0.96),CER(17.24),COT(21.12),WV(6.86)和Net CRE(-34.44)的峰值出现在JJA和CTP中(884.06)和CTT(28417)位于DJF。按月,AOD(0.73)和COT(24.86)记录在6月。 CER(17.87),WV(7.26)和Net CRE(-45.38)为7月; CF(0.97)是在七月/八月; CTP(900.89)和CTT(285.75)在2月。回归分析显示AOD,CF,WV,COT,CTP和CTT的年度增长趋势,而CER和净CRE呈负趋势。 AOD在所有季节均显示出上升趋势,而CF,CER和COT仅在DJF和MAM中显示出上升趋势。 CTP和CTT显示JJA和SON的增长趋势。 WV在MAM,JJA和DJF中显示出增加的趋势,而Net CRE在MAM和SON中显示出增加的趋势。基于对研究区域内正相关和负相关值的分析,关系研究提供了更好的AOD和云交互作用的结论。向后的轨迹表明,气团起源于孟加拉湾,印度,尼泊尔,巴基斯坦和伊朗。可以将本研究作为基础文件,用于使用预测期的气候模型模拟对孟加拉国各地的气溶胶进行进一步研究。

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