ARTG

The reports of hyperserotonaemia in chronic schizophrenics and the indications that fenfluramine, a serotonin-releasing drug, may be of therapeutic value in hyperserotonaemic autistic children, were the rationale for this clinical trial. Fenfluramine was administered to 4 treatment-resistant chronic schizophrenic in-patients. They were studied for 14 weeks: 2 baseline weeks, 8 on fenfluramine (maximal dose 120 mg/day for 4 weeks) and 4 post-fenfluramine. Plasma levels of fenfluramine and nor-fenfluramine indicated good compliance. Platelet serotonin concentration decreased in all 4 subjects, weight loss was noted in 2. Clinical changes (assessed by rating psychiatric symptoms and ward behaviour) were observed in 3: moderate sustained improvement in 1, a short-lived activation followed by a slight improvement in another, and a brief amelioration with subsequent worsening in the third. The time and pattern of these changes suggest that they were due to fenfluramine.

We present results from complimentary measurements of physical and optical properties of aerosols carried out at Delhi, as part of the Indian Space Research Organization Geosphere Biosphere Programme's Land Campaign II in December 2004. For the first time we unravel ground truth values of several radiatively important aerosol parameters such as their wavelength dependency in absorption, scattering behavior, single-scattering albedo, number size distribution, and vertical distribution in the atmosphere from this polluted ...

Study of Atmospheric Forcing and Responses (SAFAR) is a five year (2009-2014) research programme specifically to address the responses of the earth's atmosphere to both natural and anthropogenic forcings using a host of collocated instruments operational at the National Atmospheric Research Laboratory, Gadanki (13.5° N, 79.2° E), India from a unified viewpoint of studying the vertical coupling between the forcings and responses from surface layer to the ionosphere. As a prelude to the main program a pilot campaign was conducted at Gadanki during May-November 2008 using collocated observations from the MST radar, Rayleigh lidar, GPS balloonsonde, and instruments measuring aerosol, radiation and precipitation, and supporting satellite data. We show the importance of the large radiative heating caused by absorption of solar radiation by soot particles in the lower atmosphere, the observed high vertical winds in the convective updrafts extending up to tropopause, and the difficulty in simulating the same with existing models, the upward traveling waves in the middle atmosphere coupling the lower atmosphere with the upper atmosphere, their manifestation in the mesospheric temperature structure and inversion layers, the mesopause height extending up to 100 km, and the electro-dynamical coupling between mesosphere and the ionosphere which causes irregularities in the ionospheric F-region. The purpose of this communication is not only to share the knowledge that we gained from the SAFAR pilot campaign, but also to inform the international atmospheric science community about the SAFAR program as well as to extend our invitation to join in our journey.

Ultraviolet (UV) rays have harmful effects on living organisms and plants. Information on UV radiation is also needed for modeling chemical processes in the atmosphere. Therefore, there is a wide interest in estimating UV flux reaching the earth surface. This led to the establishment of world-wide UV monitoring networks, yet, only satellites can provide large scale and homogeneous information. In addition to ozone, clouds and aerosols affect the surface UV radiation. These are highly variable in space and time which limits the applicability of point measurements to wider areas. Several algorithms have been developed for estimating UV flux from space-borne observations. These vary from simple parameterizations to full radiative transfer calculations. The most common limitations of these algorithms are related to their local dependence, satellite specific assumptions and/or large computational time requirement. We present an algorithm for estimating UV flux from Geostationary Operational Environmental Satellite (GOES) data. The methodology will utilize information derived from independent satellites such as ozone. It relies on transmission table based on the Santa Barbara Discrete Ordinate Atmospheric Radiative Transfer (SBDART) model. The algorithm accounts for surface elevation variation, incorporates region dependent aerosol models and provides spectrally resolved output for UV flux at 5 nm interval. The algorithm is generic and can be adapted to different geographic regions. Initially, it will be implemented over North America for a period of about five years. The inferred UV values are being evaluated against ground observations as available from several networks over the United States and results will be presented at the meeting.

Aerosols play a very significant role in determining earth's climate, but to study their quantitative effect is a challenging task due to their high spatial and temporal variability. The data from MODIS on-board Terra satellite during 2001–2008 have been used to study the spatial and temporal variability of AOD and also to identify homogeneous aerosol regions over South India. In this study we found two distinct regions within the selected study region that are characterised by low and high coefficients of variation (COV) of AOD values. The region with low COV is characterised by high AOD and vice versa. The spatial correlation is found to be symmetric for in-land locations but skewed towards Bay of Bengal for coastal locations. The spatial correlation is found to be significant for a radial distance of 150 km from the region of interest.► Study of spatial homogeneity of aerosols over a large area has been attempted for the first time. ► Study region is classified into two distinct regions based on coefficient of variation of AOD. ► Spatial homogeneity of aerosols is found to be skewed towards Bay of Bengal for coastal locations. ► AOD can be considered to be homogeneous for a radial distance of 100–150 km. ► Spatial homogeneity of aerosols is very useful in assessing quality of the satellite data at different resolutions.

"In the present study we compare the MODIS (Moderate Resolution Imaging Spectroradiometer) derived aerosol optical depth (AOD) data with that obtained from operating sky-radiometer at a remote rural location in southern India (Gadanki, 13.45° N, 79.18° E) from April 2008 to March 2011. While the comparison between total (coarse mode + fine mode) AODs shows correlation coefficient (R) value of about 0.71 for Terra and 0.77 for Aqua, if one separates the AOD into fine and coarse mode, the comparison becomes very poor, particularly for fine mode with an R value of 0.44 for both Terra and Aqua. The coarse mode AOD derived from MODIS and sky-radiometer compare better with an R value of 0.74 for Terra and 0.66 for Aqua. The seasonal variation is also well captured by both ground-based and satellite measurements. It is shown that both the total AOD and fine mode AOD are significantly underestimated with slope of regression line 0.75 and 0.35 respectively, whereas the coarse mode AOD is overestimated with a slope value of 1.28 for Terra. Similar results are found for Aqua where the slope of the regression line for total AOD and fine mode AOD are 0.72 and 0.27 whereas 0.95 for coarse mode. The fine mode fraction derived from MODIS data is less than one-half of that derived from the sky-radiometer data. Based on these observations and comparison of single scattering albedo observed using sky-radiometer with that of MODIS aerosol models, we argue that the selection of aerosol types used in the MODIS retrieval algorithm may not be appropriate particularly in the case of southern India. Instead of selecting a moderately absorbing aerosol model (as being done currently in the MODIS retrieval) a more absorbing aerosol model could be a better fit for the fine mode aerosols, while reverse is true for the coarse mode aerosols, where instead of using "dust aerosols" which is relatively absorbing type, usage of coarse sea-salt particles which is less absorbing is more appropriate. However, not all the differences could be accounted based on aerosol model, other factors like errors in retrieval of surface reflectance may also be significant in causing underestimation of AOD by MODIS.
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