High Resolution Active Optical Remote Sensing Observations of Aerosols, Clouds and Aerosol-Cloud Interactions and Their Implication to Climate
Remote Sensing is of paramount importance for Earth Observation to monitor and analyze the Earth's vital signs. In this Special Issue are reported the latest research results involving active optical remote sensing instruments, both from ground-based to satellite platforms, that are involved in...
Format: | eBook |
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Language: | English |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2020
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Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
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720 | 1 | |a Lolli, Simone |4 edt | |
720 | 1 | |a Campbell, James |4 edt | |
720 | 1 | |a Campbell, James |4 oth | |
720 | 1 | |a Lolli, Simone |4 oth | |
720 | 1 | |a Qin, Kai |4 edt | |
720 | 1 | |a Qin, Kai |4 oth | |
720 | 1 | |a Wang, Sheng-Hsiang |4 edt | |
720 | 1 | |a Wang, Sheng-Hsiang |4 oth | |
245 | 0 | 0 | |a High Resolution Active Optical Remote Sensing Observations of Aerosols, Clouds and Aerosol-Cloud Interactions and Their Implication to Climate |
260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
300 | |a 1 online resource (242 p.) | ||
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506 | 0 | |a Open Access |f Unrestricted online access |2 star | |
520 | |a Remote Sensing is of paramount importance for Earth Observation to monitor and analyze the Earth's vital signs. In this Special Issue are reported the latest research results involving active optical remote sensing instruments, both from ground-based to satellite platforms, that are involved in analyzing the vertical and horizontal aerosol and cloud distribution, other than their geometrical, optical and microphysical properties. Those active optical remote sensing techniques are also very useful in determining pollutant dispersion and the dynamics inside the boundary layer. The published studies put in evidence the hidden mechanisms on how pollution from the source is advected transnationally in other countries and the interaction with local meteorology. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |u https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Research & information: general |2 bicssc | |
653 | |a above-cloud aerosol | ||
653 | |a AERONET | ||
653 | |a aerosol | ||
653 | |a aerosol properties | ||
653 | |a aerosol type | ||
653 | |a aerosol type and source | ||
653 | |a aerosol-cloud interactions | ||
653 | |a aerosols | ||
653 | |a aerosols optical properties | ||
653 | |a air quality | ||
653 | |a air-pollution | ||
653 | |a AOD | ||
653 | |a Beijing | ||
653 | |a black carbon | ||
653 | |a blind zone | ||
653 | |a CALIPSO | ||
653 | |a China | ||
653 | |a climate change | ||
653 | |a cloud | ||
653 | |a cloud base height | ||
653 | |a Dark-Target | ||
653 | |a Deep-Blue | ||
653 | |a disdrometer | ||
653 | |a Doppler LiDAR | ||
653 | |a dual-field-of-view (FOV) | ||
653 | |a dust top height | ||
653 | |a East Asian summer monsoon | ||
653 | |a evaporation | ||
653 | |a extinction coefficient | ||
653 | |a frequency of dust occurrence | ||
653 | |a geometric overlap factor (GOF) | ||
653 | |a ground based remote sensing | ||
653 | |a ground-based observations | ||
653 | |a Hong Kong | ||
653 | |a image processing | ||
653 | |a infrastructure | ||
653 | |a latent heat | ||
653 | |a lidar | ||
653 | |a LiDAR | ||
653 | |a lidar ratio | ||
653 | |a low-latitude plateau monsoon climate | ||
653 | |a low-level cloud | ||
653 | |a mass concentration | ||
653 | |a meteorology | ||
653 | |a MOD04 | ||
653 | |a monsoon index | ||
653 | |a MPLNET | ||
653 | |a network | ||
653 | |a PM2.5 | ||
653 | |a polluted dust | ||
653 | |a precipitation | ||
653 | |a pure dust | ||
653 | |a radar wind profiler | ||
653 | |a radiative effects | ||
653 | |a rainfall | ||
653 | |a relative humidity profile | ||
653 | |a remote sensing | ||
653 | |a seasonal variation | ||
653 | |a South Asian summer monsoon | ||
653 | |a spatial wind variability | ||
653 | |a stereo-monitoring networks | ||
653 | |a threshold | ||
653 | |a Tibetan plateau | ||
653 | |a transition zone | ||
653 | |a turbulent mixing | ||
653 | |a virga | ||
653 | |a water vapor transport | ||
653 | |a wind lidar | ||
653 | |a wind shear | ||
653 | |a Yunnan-Kweichow Plateau | ||
793 | 0 | |a DOAB Library. | |
856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/69366 |7 0 |z Open Access: DOAB: description of the publication |
856 | 4 | 0 | |u https://mdpi.com/books/pdfview/book/3159 |7 0 |z Open Access: DOAB, download the publication |