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Keyword Connections - aerosol optical depth Keywords

Connection Type	Connection
Journals	Environmental pollution (Barking, Essex : 1987) Environment international Chemosphere huan jing ke xue= huanjing kexue
Research Groups	No Research Group Connected
Bibliographies	[1] Spatiotemporal trends of PM concentrations in central China from 2003 to 2018 based on MAIAC-derived high-resolution data. [2] Corrigendum to "CO and HCl-induced seawater acidification impair the ingestion and digestion of blue mussel Mytilus edulis" [Chemosphere 240 (2020) 124821]. [3] Column Integrated Water Vapor and Aerosol Load Characterization with the New ZEN-R52 Radiometer [4] retrieval of aerosol fine-mode fraction from intensity and polarization measurements by parasol over east asia [5] a review on predicting ground pm2.5 concentration using satellite aerosol optical depth [6] investigation of the optical properties of aerosols over the coastal region at dalian, northeast china [7] Estimation of PM<inf>2.5</inf> from MODIS Aerosol Optical Depth Over the Indian Subcontinent [8] Evaluation of retrieved aerosol extinction profiles using as reference the aerosol optical depth differences between various heights [9] Combined use of satellite and surface observations to study aerosol optical depth in different regions of China [10] Scientific innovations from the Mars aerosol optical depth based on satellite data with a temporal resolution of hours [11] Global trend analysis in primary and secondary production of marine aerosol and aerosol optical depth during 2000-2015. [12] The relationships between PM and aerosol optical depth (AOD) in mainland China: About and behind the spatio-temporal variations. [13] Long-term spatiotemporal variations of aerosol optical depth over Yellow and Bohai Sea. [14] Linkage of aerosol optical depth with rainfall and circulation parameters over the Eastern Gangetic Plains of India [15] A study of the impact of spatial resolution on the estimation of particle matter concentration from the aerosol optical depth retrieved from satellite observations [16] Potential impacts of Arctic warming on Northern Hemisphere mid-latitude aerosol optical depth [17] Satellite-derived correlation of SO<inf>2</inf>, NO<inf>2</inf>, and aerosol optical depth with meteorological conditions over East Asia from 2005 to 2015 [18] Analysis of spatial and temporal variability of aerosol optical depth over China using MODIS combined Dark Target and Deep Blue product [19] Is positive correlation between cloud droplet effective radius and aerosol optical depth over land due to retrieval artifacts or real physical processes? [20] Atmospheric aerosol pollution across China: a spatiotemporal analysis of satellite-based aerosol optical depth during 2000–2016 [21] Aerosol optical depth retrieval over the city of Abu Dhabi, United Arab Emirates (UAE) using Landsat-8 OLI images [22] Aerosol optical depth over the nepalese cryosphere derived from an empirical model [23] The regime of Aerosol Optical Depth and Ångström exponent over Central and South Asia [24] Characterization and application of artificial light sources for nighttime aerosol optical depth retrievals using the Visible Infrared Imager Radiometer Suite Day/Night Band [25] Aerosol optical depth climatology over Central Asian countries based on Aqua-MODIS Collection 6.1 data: Aerosol variations and sources [26] Development of a Low Cost Miniature Device for High Spatial, Distributed Monitoring of Aerosol Optical Depth for Regional Level Microclimatic Studies [27] Evaluating Aerosol Optical Depth From Himawari-8 With Sun Photometer Network [28] Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites [29] Assessment of Himawari-8 AHI aerosol optical depth over land [30] Quantitative aerosol optical depth detection during dust outbreaks from meteosat imagery using an artificial neural network model [31] Himawari-8/AHI and MODIS aerosol optical depths in China: Evaluation and comparison [32] Estimating PM2.5 concentration from satellite derived aerosol optical depth and meteorological variables using a combination model [33] Climate-specific and global validation of MODIS Aqua and Terra aerosol optical depth at 452 AERONET stations [34] Validating MODIS above-cloud aerosol optical depth retrieved from “color ratio” algorithm using direct measurements made by NASA's airborne AATS and 4STAR sensors [35] Effect of model errors in ambient air humidity on the aerosol optical depth obtained via aerosol hygroscopicity in eastern China in the Atmospheric Chemistry and Climate Model Intercomparison Project datasets [36] Stacking machine learning model for estimating hourly PM in China based on Himawari 8 aerosol optical depth data. [37] Evaluation of Landsat-8 and Sentinel-2A aerosol optical depth retrievals across Chinese cities and implications for medium spatial resolution urban aerosol monitoring. [38] Estimating the maritime component of aerosol optical depth and its dependency on surface wind speed using MODIS and QuikSCAT data [39] signatures of rossby wave modulations in aerosol optical depth over the central himalayan region [40] monsoonal variations in aerosol optical properties and estimation of aerosol optical depth using ground-based meteorological and air quality data in peninsular malaysia [41] comparison of pmcamx aerosol optical depth predictions over europe with aeronet and modis measurements [42] a review on predicting ground pm2.5 concentration using satellite aerosol optical depth [43] a new zenith-looking narrow-band radiometer-based system (zen) for dust aerosol optical depth monitoring [44] validation of modis derived aerosol optical depth and an investigation on aerosol transport over the south east arabian sea during armex-ii [45] validation of modis aerosol optical depth retrieval over mountains in central china based on a sun-sky radiometer site of sonet [46] improvement of aerosol optical depth retrieval from modis spectral reflectance over the global ocean using new aerosol models archived from aeronet inversion data and tri-axial ellipsoidal dust database [47] aerosol optical depth measurements by airborne sun photometer in solve ii: comparisons to sage iii, poam iii and airborne spectrometer measurements [48] Himawari-8 Aerosol Optical Depth (AOD) Retrieval Using a Deep Neural Network Trained Using AERONET Observations [49] A decadal regional and global trend analysis of the aerosol optical depth using a data-assimilation grade over-water MODIS and Level 2 MISR aerosol products