79 research outputs found
Atmospheric Chemistry of Ozone Photolysis at High Latitudes: Laboratory and Modeling Studies (Extended Abstract)
Stratospheric aerosol increase after eruption of Pinatubo observed with lidar and aureolemeter
An increase in the amount of stratospheric aerosol due to the Pinatubo eruption (June 12-15, 1991, 15.14 deg N, 120.35 deg E) was observed from the end of June, 1991 by a lidar in NIES (National Institute for Environmental Studies), Tsukuba (36.0 deg N, 140.1 deg E). After large fluctuations in summer of 1991, the amount of the aerosols increased in mid-September as a result of enhanced transportation from the subtropical region. In autumn and winter of 1991, dense aerosol layers were continuously observed. Aureolemeter (scanning spectral radiometer) measurements were also carried out with lidar measurements and columnar size distribution of stratospheric aerosols was estimated for some cases. Collaborative measurements with the lidar and aureolemeter provided some information on height distribution of the surface area of aerosols in late 1991
What controls the seasonal cycle of columnar methane observed by GOSAT over different regions in India?
Methane (CH4) is one of the most important short-lived climate forcers for its critical roles in greenhouse warming and air pollution chemistry in the troposphere, and the water vapor budget in the stratosphere. It is estimated that up to about 8% of global CH4 emissions occur from South Asia, covering less than 1% of the global land. With the availability of satellite observations from space, variability in CH4 has been captured for most parts of the global land with major emissions, which were otherwise not covered by the surface observation network. The satellite observation of the columnar dry-air mole fractions of methane (XCH4) is an integrated measure of CH4 densities at all altitudes from the surface to the top of the atmosphere. Here, we present an analysis of XCH4 variability over different parts of India and the surrounding cleaner oceanic regions as measured by the Greenhouse gases Observation SATellite (GOSAT) and simulated by an atmospheric chemistry-transport model (ACTM). Distinct seasonal variations of XCH4 have been observed over the northern (north of 15°N) and southern (south of 15°N) parts of India, corresponding to the peak during the southwestern monsoon (July-September) and early autumn (October-December) seasons, respectively. Analysis of the transport, emission, and chemistry contributions to XCH4 using ACTM suggests that a distinct XCH4 seasonal cycle over northern and southern regions of India is governed by both the heterogeneous distributions of surface emissions and a contribution of the partial CH4 column in the upper troposphere. Over most of the northern Indian Gangetic Plain regions, up to 40% of the peak-to-trough amplitude during the southwestern (SW) monsoon season is attributed to the lower troposphere ( ? 1000-600hPa), and ? 40% to uplifted high-CH4 air masses in the upper troposphere ( ? 600-200hPa). In contrast, the XCH4 seasonal enhancement over semi-arid western India is attributed mainly ( ? 70%) to the upper troposphere. The lower tropospheric region contributes up to 60% in the XCH4 seasonal enhancement over the Southern Peninsula and oceanic region. These differences arise due to the complex atmospheric transport mechanisms caused by the seasonally varying monsoon. The CH4 enriched air mass is uplifted from a high-emission region of the Gangetic Plain by the SW monsoon circulation and deep cumulus convection and then confined by anticyclonic wind in the upper tropospheric heights ( ? 200hPa). The anticyclonic confinement of surface emission over a wider South Asia region leads to a strong contribution of the upper troposphere in the formation of the XCH4 peak over northern India, including the semi-arid regions with extremely low CH4 emissions. Based on this analysis, we suggest that a link between surface emissions and higher levels of XCH4 is not always valid over Asian monsoon regions, although there is often a fair correlation between surface emissions and XCH4. The overall validity of ACTM simulation for capturing GOSAT observed seasonal and spatial XCH4 variability will allow us to perform inverse modeling of XCH4 emissions in the future using XCH4 data.CC-BY 3.
A case of marginal zone B cell lymphoma mimicking IgG4-related dacryoadenitis and sialoadenitis
A case of mantle cell lymphoma presenting as IgG4-related dacryoadenitis and sialoadenitis, so-called Mikulicz’s disease
New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS)
GEMS will monitor air quality over Asia at unprecedented spatial and temporal resolution from GEO for the first time, providing column measurements of aerosol, ozone and their precursors (nitrogen dioxide, sulfur dioxide and formaldehyde).
Geostationary Environment Monitoring Spectrometer (GEMS) is scheduled for launch in late 2019 - early 2020 to monitor Air Quality (AQ) at an unprecedented spatial and temporal resolution from a Geostationary Earth Orbit (GEO) for the first time. With the development of UV-visible spectrometers at sub-nm spectral resolution and sophisticated retrieval algorithms, estimates of the column amounts of atmospheric pollutants (O3, NO2, SO2, HCHO, CHOCHO and aerosols) can be obtained. To date, all the UV-visible satellite missions monitoring air quality have been in Low Earth orbit (LEO), allowing one to two observations per day. With UV-visible instruments on GEO platforms, the diurnal variations of these pollutants can now be determined. Details of the GEMS mission are presented, including instrumentation, scientific algorithms, predicted performance, and applications for air quality forecasts through data assimilation. GEMS will be onboard the GEO-KOMPSAT-2 satellite series, which also hosts the Advanced Meteorological Imager (AMI) and Geostationary Ocean Color Imager (GOCI)-2. These three instruments will provide synergistic science products to better understand air quality, meteorology, the long-range transport of air pollutants, emission source distributions, and chemical processes. Faster sampling rates at higher spatial resolution will increase the probability of finding cloud-free pixels, leading to more observations of aerosols and trace gases than is possible from LEO. GEMS will be joined by NASA's TEMPO and ESA's Sentinel-4 to form a GEO AQ satellite constellation in early 2020s, coordinated by the Committee on Earth Observation Satellites (CEOS)
On the Long Term Variation of Stratospheric Aerosol Content After the Eruption of Volcano El Chichón: Lidar Measurements at Nagoya, Japan
Lidar observation of stratospheric aerosol increase after the El Chichon eruption: Nagoya, April to December 1982
The Effects of the Volcanic Eruption of St. Helens on the Polarization Properties of Stratospheric Aerosols; Lidar Measurement at Nagoya
Lidar observation of stratospheric aerosol increase after the El Chichon eruption: Nagoya, April to December 1982
The volcano El Chichon (Mexico) erupted violently over several days at the end of March and at the beginning of April 1982. After the eruptions a sudden increase of backscattered light from the stratospheric aerosol layer was detected by a lidar (0.6943μm) at Nagoya (35°N, 137°E) in mid-April 1982. At the end of May the observed scattering ratio reached the maximum value about 44. The effect of the eruption of El Chichon on the stratospheric aerosol layer seems to be larger than that of the volcan de Fuego eruption or Mt. St. Helens eruption. Immediately after the eruption, an apparent two-layer structure of scattering ratio profiles was observed. According to the radio sonde data over Japan, the aerosols in the upper layer were possibly transported by easterly wind and those in the lower layer by westerly wind, respectively. After September 1982 the centroid height of particulate backscattering and the main peak height decreased gradually due to the effect of sedimentation
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