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Natural disasters like floods, tornadoes, tropicalcyclones, heat and cold wavewreak havoc and cause tremendous loss ofproperty all over the world. Most ofthe natural disasters are either dueto weather or are triggered due toweather related processes.Extreme weather events claimed thousands oflives and caused damage on vastscale. Recent super cyclone which affectedOrissa in 1999, Bangladesh cyclone of1970 and Hurricane Andrew in 1992 areexamples of some of the more damagingtropical cyclones which affected developingas well as the developed world. Heatand cold waves are also extreme events,which cause enormous losses in terms oflives lost and human discomfort and ailmentsarising out of them. The heat waveof 1995 and 1998 are still fresh in the mindof the Indian public. The estimated lossof human lives due to heat wave in 1998 was morethan 15,000. Economic losses asa result of these disasters and in particular inassociation with tropical cyclones haveincreased enormously over the last three decades.During 1961–1991, total loss oflives from drought alone was 1,333,728 overthe whole world. In terms of economiclosses, there is 8–10 fold increase from thebase figure of 1960. The socio-economicimpact of natural disaster is complex dependingupon the vulnerability of the placeand mitigation strategies that are put in place.Meteorology plays a crucial role in forewarningpeople about the severe/extremeweather systems and a constant endeavour by themeteorological services worldover has gone a long way towards minimizing thelosses caused by natural disasters.The paper summarises the natural disasterstatistics over south Asia and the possibleprediction strategies for combating theirsocio-economic impacts. 相似文献
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Medha Khole 《Meteorology and Atmospheric Physics》2000,75(1-2):1-9
Summary The year 1997 witnessed one of the most severe El-Ni?o events of the century. However, the All-India Summer Monsoon Rainfall
(AISMR) was 102% of its long period average. In view of recent studies (Tourre and White, 1995, 1997) of detection of ENSO
signal over Indian Ocean, the Sea-Surface Temperature (SST) variation over Indian Ocean (20° N–10° S/50° E–100° E), concurrent
to El-Ni?o event of 1997 is examined. It is observed that during the developing, mature and decaying stages of El-Ni?o, the
North Indian Ocean was abnormally warm. This anomalous warming may be one of the factors responsible for anomalous precipitation
over India during October to December of 1997.
Received August 24, 1999/Revised February 15, 2000 相似文献
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Bidyut B. Goswami Medha Deshpande P. Mukhopadhyay Subodh K. Saha Suryachandra A. Rao Raghu Murthugudde B. N. Goswami 《Climate Dynamics》2014,43(9-10):2725-2745
We have evaluated the simulation of Indian summer monsoon and its intraseasonal oscillations in the National Centers for Environmental Prediction climate forecast system model version 2 (CFSv2). The dry bias over the Indian landmass in the mean monsoon rainfall is one of the major concerns. In spite of this dry bias, CFSv2 shows a reasonable northward propagation of convection at intraseasonal (30–60 day) time scale. In order to document and understand this dry bias over the Indian landmass in CFSv2 simulations, a two pronged investigation is carried out on the two major facets of Indian summer monsoon: one, the air–sea interactions and two, the large scale vertical heating structure in the model. Our analysis shows a possible bias in the co-evolution of convection and sea surface temperature in CFSv2 over the equatorial Indian Ocean. It is also found that the simulated large scale vertical heat source (Q1) and moisture sink (Q2) over the Indian region are biased relative to observational estimates. Finally, this study provides a possible explanation for the dry precipitation bias over the Indian landmass in the simulated mean monsoon on the basis of the biases associated with the simulated ocean–atmospheric processes and the vertical heating structure. This study also throws some light on the puzzle of CFSv2 exhibiting a reasonable northward propagation at the intraseasonal time scale (30–60 day) despite a drier monsoon over the Indian land mass. 相似文献
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MEASUREMENT OF pH AND CHEMICAL ANALYSIS OF RAIN WATER IN RURAL AREA OF INDIA 总被引：1，自引：0，他引：1 
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下载免费PDF全文 Large number of rain water samples, at 7 rural locations in the semi-arid region of the DeccanPlateau were collected during 4 consecutive monsoon seasons (1979-1982).pH, conductivityand the major ionic components (C1~-, SO_4~= , NO_3~- , NH_4~+ , Na~+, K~+, Ca~(++), Mg~(++) of the abovesamples were determined. The pH of rain water was found to be highly alkaline and the valuesvaried from 6.4 to 7.8. Soil-oriented elements showed good correltioan (r~0.6) with pH valuesof rain water. The high concentration of soil-oriented elements, specially Ca~(++), is found to play animportant role in neutralizing the acidity of rain water and maintaining high alkaline pH. The studysuggested that the contribution of atmospheric aerosol of natural sources (sea and soil) to thechemical composition of rain water is more than that of anthropogenic origin. 相似文献
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L. T. Khemani Medha S. Naik G. A. Momin R. Kumar R. N. Chatterjee G. Singh Bh. V. Ramana Murty 《Journal of Atmospheric Chemistry》1985,2(3):273-285
The total suspended particulate (TSP) levels at Delhi (north India) were measured on 116 days between February and October 1980. The observations were stratified according to season and the values of cross-correlation of the TSP and its components were evaluated. High TSP (209 g m-3) levels were found during the summer period associated with hot and dry weather in the region and low TSP (109 g m-3) were found during the monsoon period. Most of the TSP mass was associated with natural soil elements, such as Fe, Al, Mn, Ca, and K. Only a fraction of the mass of the TSP was comprised of elements from anthropogenic sources, e.g., Pb, Ni, Cd, Sb, Cu, and Zn. The aerosols at Delhi were potentially basic in nature, unlike those in European countries which are acidic in nature and cause acid rainfall. 相似文献
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Impact of physical parameterization schemes on numerical simulation of super cyclone Gonu 总被引：2，自引：0，他引：2
The objective of this study is to investigate in detail the sensitivity of cumulus, planetary boundary layer and explicit
cloud microphysics parameterization schemes on intensity and track forecast of super cyclone Gonu (2007) using the Pennsylvania
State University-National Center for Atmospheric Research Fifth-Generation Mesoscale Model (MM5). Three sets of sensitivity
experiments (totally 11 experiments) are conducted to examine the impact of each of the aforementioned parameterization schemes
on the storm’s track and intensity forecast. Convective parameterization schemes (CPS) include Grell (Gr), Betts–Miller (BM)
and updated Kain–Fritsch (KF2); planetary boundary layer (PBL) schemes include Burk–Thompson (BT), Eta Mellor–Yamada (MY)
and the Medium-Range Forecast (MRF); and cloud microphysics parameterization schemes (MPS) comprise Warm Rain (WR), Simple
Ice (SI), Mixed Phase (MP), Goddard Graupel (GG), Reisner Graupel (RG) and Schultz (Sc). The model configuration for CPS and
PBL experiments includes two nested domains (90- and 30-km resolution), and for MPS experiments includes three nested domains
(90-, 30- and 10-km grid resolution). It is found that the forecast track and intensity of the cyclone are most sensitive
to CPS compared to other physical parameterization schemes (i.e., PBL and MPS). The simulated cyclone with Gr scheme has the
least forecast track error, and KF2 scheme has highest intensity. From the results, influence of cumulus convection on steering
flow of the cyclone is evident. It appears that combined effect of midlatitude trough interaction, strength of the anticyclone
and intensity of the storm in each of these model forecasts are responsible for the differences in respective track forecast
of the cyclone. The PBL group of experiments has less influence on the track forecast of the cyclone compared to CPS. However,
we do note a considerable variation in intensity forecast due to variations in PBL schemes. The MY scheme produced reasonably
better forecast within the group with a sustained warm core and better surface wind fields. Finally, results from MPS set
of experiments demonstrate that explicit moisture schemes have profound impact on cyclone intensity and moderate impact on
cyclone track forecast. The storm produced from WR scheme is the most intensive in the group and closer to the observed strength.
The possible reason attributed for this intensification is the combined effect of reduction in cooling tendencies within the
storm core due to the absence of melting process and reduction of water loading in the model due to absence of frozen hydrometeors
in the WR scheme. We also note a good correlation between evolution of frozen condensate and storm intensification rate among
these experiments. It appears that the Sc scheme has some systematic bias and because of that we note a substantial reduction
in the rain water formation in the simulated storm when compared to others within the group. In general, it is noted that
all the sensitivity experiments have a tendency to unrealistically intensify the storm at the later part of the integration
phase. 相似文献
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For investigating the physical reasons for the observed increase in rainfall, field observational programmes have been undertaken in the upwind and downwind of industrial complexes of the Bombay region. During these programmes, surface observations of trace gases ( SO2 and NOx), giant size hygroscopic and nonhygroscopic aerosols and rain water samples have been made in the years 1972, 1973 and 1974. Aircraft observations of trace gases (SO2 and NH3), giant size aerosols, cloud condensation nuclei as well as of cloud liquid water content, cloud droplet spectra and temperature have been made on limited days during August 1974. Results of the analysis of the surface and aircraft observations have indicated that the chemical, thermal and microphysical conditions of clouds are markedly different in the upwind and downwind regions of the industrial complexes in the Bombay region. It is hypothesised that observed increase in rainfall in the region following the industrialisation is due to the differences in the chemical and physical conditions in the downwind clouds. 相似文献
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Numerical simulation of a typical tropical thunder storm event at Pune (18.53°N, 73.85°E), India, has been performed using the three nested domain configuration of Weather Research and Forecasting-Advanced Research Weather Model (version 3.2). The model simulations have been compared with observations. Sensitivity to cumulus parameterization schemes, namely Betts–Miller (BM), Grell–Devenyi (GD), and Kain–Fritsch (KF), for simulation of vertical structure and time evolution of weather parameters has been evaluated using observations from automatic weather station and global positioning system radiosonde ascents. Comparison of spatial distribution of 24-h accumulated rain with Tropical Rainfall Measuring Mission data shows that BM scheme could simulate better rain than GD and KF schemes. The BM scheme could well simulate the development of storm and heavy rain as it could generate sufficiently humid and deep layer in the lower and middle atmosphere, along with co-existence of updrafts and downdrafts and frozen hydrometeors at the middle level and rain water near the surface. 相似文献
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