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Geoscientific Model Development, ISSN 1991-959X, 05/2017, Volume 10, Issue 5, pp. 1903 - 1925
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 01/2015, Volume 156, pp. 117 - 128
Although ground-level monitoring can provide accurate PM2.5 measurements, it has limited spatial coverage and resolution. In contrast, satellite-based... 
Satellite remote sensing | Mass extinction efficiency | Hygroscopicity | Fine mode fraction | PM2.5 | UNITED-STATES | CHINA | VALIDATION | SCATTERING PROPERTIES | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | MODIS | ENVIRONMENTAL SCIENCES | AIR-POLLUTION | REMOTE SENSING | AEROSOL OPTICAL DEPTH | PARTICULATE MATTER | THICKNESS | RELATIVE-HUMIDITY
Journal Article
Biogeosciences, ISSN 1726-4170, 2013, Volume 10, Issue 10, pp. 6657 - 6676
Drylands, covering nearly 30% of the global land surface, are characterized by high climate variability and sensitivity to land management. Here, two... 
ATMOSPHERIC CO2 | GEOSCIENCES, MULTIDISCIPLINARY | SOIL-MOISTURE | LAND DEGRADATION | CLIMATE-CHANGE | SPOT-VEGETATION | ECOLOGY | POLARIZATION DIFFERENCE INDEX | NDVI TIME-SERIES | OPTICAL DEPTH | CARBON-DIOXIDE | LEAF-AREA INDEX | Chlorophyll | Artificial satellites in remote sensing | Vegetation dynamics | Video-on-demand
Journal Article
Bulletin of the American Meteorological Society, ISSN 0003-0007, 8/2011, Volume 92, Issue 8, pp. 1023 - 1043
Journal Article
Geophysical Research Letters, ISSN 0094-8276, 09/2005, Volume 32, Issue 17, pp. L17804 - n/a
Satellite instruments do not measure the aerosol chemical composition needed to discriminate anthropogenic from natural aerosol components. However the ability... 
Atmospheric Composition and Structure | Pollution | Global Change | Aerosols and particles | urban and regional | Atmosphere | ALBEDO | AIR-POLLUTION | RAIN | GEOSCIENCES, MULTIDISCIPLINARY | OPTICAL-PROPERTIES | MODEL | THICKNESS | CLIMATE | Oceans | Satellite instruments | Aerosols | Climate models | Optical thickness | Assessments | Estimates | MODIS
Journal Article
Atmospheric Measurement Techniques, ISSN 1867-1381, 06/2018, Volume 11, Issue 6, pp. 3373 - 3396
We present here the key features of the Community Cloud retrieval for CLimate (CC4CL) processing algorithm. We focus on the novel features of the framework:... 
CLARA-A1 | AEROSOL | OPTICAL-THICKNESS | PRODUCTS | SURFACE REFLECTANCE | ALGORITHM | APPLICATION FACILITY | DATASET | METEOROLOGY & ATMOSPHERIC SCIENCES | TRENDS | MODIS | Usage | Models | Climate models | Clouds | Meteorological research | Technology application | Cloud forecasting | Retrieval | Climate | Communities | Imaging techniques | Data processing | Missions | Climatic studies | Satellite imagery | Climate change | Satellites | Lidar | Height | Sensors | Framework
Journal Article