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1.
Check dam positioning by prioritization of micro-watersheds using SYI model and morphometric analysis — Remote sensing and GIS perspective 总被引：5，自引：0，他引：5
K. Nooka Ratnam Y. K. Srivastava V. Venkateswara Rao E. Amminedu K. S. R. Murthy 《Journal of the Indian Society of Remote Sensing》2005,33(1):25-38
Sediment Yield Index (SYI) model and results of morphometric analysis have been used to prioritize watersheds and to locate
sites for checkdam positioning in Tarafeni watershed in Midnapur district. West Bengal. Various thematic maps such as land
use/land cover, slope, drainage, soil etc. were prepared from 1RS ID LISS III digital data, SOI toposheets of 1:50,000 scale
and other reference maps. Morphometric parameters such as bifurcation ratio (Rb). drainage density (Dd), texture ratio (T), length of overland flow (Lo), stream frequency (Fu), compactness coefficient (Cc), circularity ratio (Rc), elongation ratio (Er), shape factor (Bs) and form factor (Rf) were computed. Automated demarcation of prioritization of micro-watersheds was done by using GIS overlaying technique by
assigning weight factors to all the identified features in each thematic map and ranks were assigned to the morphometric parameters.
Five categories of priority viz., very high, high, medium, low and very low, were given to all the watersheds in both the
methods. Sixty-two micro-watersheds using SYI method and twenty-three micro-watersheds using morphometric have been prioritized
as very high priority. Final priority map was prepared by considering the commonly occurred very high-prioritized micro-watersheds
in both SYI model and morphometric analysis. Twenty-four suitable sites were identified for check dam construction in 21 highly
prioritized watersheds. It is proved that integrated study of SYI model and morphometric analysis yield good result in prioritization
of watersheds. 相似文献
2.
Raghavendra Neeli J R K Kumar Dabbakuti V. Rajesh Chowdhary Nitin K. Tripathi Venkata Ratnam Devanaboyina 《Astrophysics and Space Science》2018,363(9):182
Singular Value Decomposition (SVD) model is implemented to recognize the Total Electron Content (TEC) time series of daily, temporal as well as seasonal characteristics throughout the 24th solar cycle period of the year 2015 in the study. The Vertical (vTEC) analysis has been carried out with Global Positioning System (GPS) data sets collected from five stations from India namely GNT, Guntur (16.44° N, 80.62° E), and IISC, Bangalore (12.97° N, 77.59° E), LCK2, Lucknow (26.76° N, 80.88° E), one station from Thailand namely AITB, Bangkok (14.07° N, 100.61° E), and one station from South Andaman Island namely PBR, Port Blair (11.43° N, 92.43° E), located in low latitude region. The first five singular value modes constitute about 98% of the total variance, which are linearly transformed from the observed TEC data sets. So it is viable to decrease the number of modeling parameters. The Fourier Series Analysis (FSA) is carried out to characterize the solar-cycle, annual and semi-annual dependences through modulating the first three singular values by the solar (F10.7) and geomagnetic (Ap) indices. The positive correlation coefficient (0.75) of daily averaged GPS–TEC with daily averaged F10.7 strongly supports the temporal variations of the ionospheric features depends on the solar activity. Further, the significance and reliability of the SVD model is evaluated by comparing it with GPS–TEC data and the standard global model (Standard Plasma-Spherical Ionospheric Model, SPIM and International Reference Ionosphere, IRI 2016). 相似文献
3.
J. Venkata Ratnam D. R. Sikka Akshara Kaginalkar Amit Kesarkar N. Jyothi Sudipta Banerjee 《Pure and Applied Geophysics》2007,164(8-9):1641-1665
As a part of the Experimental Extended Range Monsoon Prediction Experiment, ensemble mode seasonal runs for the monsoon season
of 2005 were made using the National Centre for Environmental Prediction (NCEP), T170L42 AGCM. The seasonal runs were made
using six initial atmospheric conditions based on the NCEP operational analysis and with forecast monthly sea-surface temperature
(SST) of the NCEP Coupled forecast system (CFS). These simulations were carried out on the PARAM Padma supercomputer of Centre
for Development of Advanced Computing (C-DAC), India. The model climatology was prepared by integrating the model for ten
years using climatological SST as the lower boundary. The climatology of the model compares well with the observed, in terms
of the spatial distribution of rainfall over the Indian land mass. The model-simulated rainfall compares well with the Tropical
Rainfall Measuring Mission (TRMM) estimates for the 2005 monsoon season. Compared to the model climatology (7.81 mm/day),
the model had simulated a normal rainfall (7.75 mm/day) for the year 2005 which is in agreement with the observations (99%
of long-term mean). However, the model could not capture the observed increase in September rainfall from that of a low value
in August 2005. The circulation patterns simulated by the model are also comparable to the observed patterns. The ensemble
mean onset is found to be nearer to the observed onset date within one pentad. 相似文献
4.
Summary The sensitivity of the simulation of the monsoon depressions to the cumulus parameterization schemes used in a numerical model
is studied using the Pennsylvania State University – National Center for Atmospheric Research (PSU-NCAR) model MM5 version
3.6.2. Three different cases of monsoon depressions were studied with a two way interacting domains of 45 km and 15 km resolutions.
Two different cumulus parameterization schemes namely Grell (GR) and Kain-Fritsch (KF) were used for the sensitivity study.
The model was integrated for 48 hours with the initial and boundary conditions of European Center for Medium Range Weather
Forecasting Reanalysis (ERA-40) data. The results show that both the schemes are able to simulate the large scale features
of the monsoon depressions realistically. However, both the schemes failed to simulate the exact location of the depression
after 24- and 48-hour simulation. The rainfall simulations of both the schemes were very different. The model with the GR
scheme tends to over predict the rainfall. The KF scheme could simulate the distribution of the rainfall comparable to the
observations. The KF scheme could simulate the maximum observed rainfall but due to locational errors of the simulated depression,
the location of the maximum rainfall was not exact. It is also seen that the resolution of the model has a positive impact
on the rainfall simulation. The GR and KF schemes were able to realistically simulate the apparent heat sources, but the apparent
moisture profile simulated with KF scheme was more comparable to the verifying analysis. The root mean square errors of mean
sea-level pressure, temperature, zonal wind and meridional wind were smaller for KF simulation compared to the GR simulation.
Permanent affiliation: Center for Development of Advanced Computing, Pune University Campus, Ganeshkhind, Pune-411 007, India. 相似文献
5.
Performance assessment of three convective parameterization schemes in WRF for downscaling summer rainfall over South Africa 总被引：2，自引：1，他引：1
Satyaban B. Ratna J. V. Ratnam S. K. Behera C. J. deW. Rautenbach T. Ndarana K. Takahashi T. Yamagata 《Climate Dynamics》2014,42(11-12):2931-2953
Austral summer rainfall over the period 1991/1992 to 2010/2011 was dynamically downscaled by the weather research and forecasting (WRF) model at 9 km resolution for South Africa. Lateral boundary conditions for WRF were provided from the European Centre for medium-range weather (ECMWF) reanalysis (ERA) interim data. The model biases for the rainfall were evaluated over the South Africa as a whole and its nine provinces separately by employing three different convective parameterization schemes, namely the (1) Kain–Fritsch (KF), (2) Betts–Miller–Janjic (BMJ) and (3) Grell–Devenyi ensemble (GDE) schemes. All three schemes have generated positive rainfall biases over South Africa, with the KF scheme producing the largest biases and mean absolute errors. Only the BMJ scheme could reproduce the intensity of rainfall anomalies, and also exhibited the highest correlation with observed interannual summer rainfall variability. In the KF scheme, a significantly high amount of moisture was transported from the tropics into South Africa. The vertical thermodynamic profiles show that the KF scheme has caused low level moisture convergence, due to the highly unstable atmosphere, and hence contributed to the widespread positive biases of rainfall. The negative bias in moisture, along with a stable atmosphere and negative biases of vertical velocity simulated by the GDE scheme resulted in negative rainfall biases, especially over the Limpopo Province. In terms of rain rate, the KF scheme generated the lowest number of low rain rates and the maximum number of moderate to high rain rates associated with more convective unstable environment. KF and GDE schemes overestimated the convective rain and underestimated the stratiform rain. However, the simulated convective and stratiform rain with BMJ scheme is in more agreement with the observations. This study also documents the performance of regional model in downscaling the large scale climate mode such as El Niño Southern Oscillation (ENSO) and subtropical dipole modes. The correlations between the simulated area averaged rainfalls over South Africa and Nino3.4 index were ?0.66, ?0.69 and ?0.49 with KF, BMJ and GDE scheme respectively as compared to the observed correlation of ?0.57. The model could reproduce the observed ENSO-South Africa rainfall relationship and could successfully simulate three wet (dry) years that are associated with La Niña (El Niño) and the BMJ scheme is closest to the observed variability. Also, the model showed good skill in simulating the excess rainfall over South Africa that is associated with positive subtropical Indian Ocean Dipole for the DJF season 2005/2006. 相似文献
6.
Raghavendra Vishnu Tadivaka Bhanu Priyanka Paruchuri Sridhar Miriyala Padma Raju Koppireddi Venkata Ratnam Devanaboyina 《Acta Geophysica》2017,65(4):777-784
The performance and measurement accuracy of global navigation satellite system (GNSS) receivers is greatly affected by ionospheric scintillations. Rapid amplitude and phase variations in the received GPS signal, known as ionospheric scintillation, affects the tracking of signals by GNSS receivers. Hence, there is a need to investigate the monitoring of various activities of the ionosphere and to develop a novel approach for mitigation of ionospheric scintillation effects. A method based on Local Mean Decomposition (LMD)–Detrended Fluctuation Analysis (DFA) has been proposed. The GNSS data recorded at Koneru Lakshmaiah (K L) University, Guntur, India were considered for analysis. The carrier to noise ratio (C/N0) of GNSS satellite vehicles were decomposed into several product functions (PF) using LMD to extract the intrinsic features in the signal. Scintillation noise was removed by the DFA algorithm by selecting a suitable threshold. It was observed that the performance of the proposed LMD–DFA was better than that of empirical mode decomposition (EMD)–DFA. 相似文献
7.
We use high-spatial resolution (100 pc) rotation curves of 83 spiral galaxies to investigate the mass distribution of their innermost kpc. We show that, in this region, the luminous matter completely accounts for the gravitational potential and no dark component is required. The derived I-band disk mass-to-light ratios
agree well with those obtained from population synthesis models and correlate with color in a similar way. We find strict upper limits of 107 M for the masses of compact bodies at the center of spirals, ruling out that these systems host the remnants of the quasar activity. 相似文献
8.
Impact of cyclone Nilam on tropical lower atmospheric dynamics 总被引：1，自引：0，他引：1
P. Vinay Kumar Gopa Dutta M. V. Ratnam E. Krishna B. Bapiraju B. Venkateswara Rao Salauddin Mohammad 《大气科学进展》2016,33(8):955-968
A deep depression formed over the Bay of Bengal on 28 October 2012, and developed into a cyclonic storm. After landfall near the south coast of Chennai, cyclone Nilam moved north-northwestwards. Coordinated experiments were conducted from the Indian stations of Gadanki(13.5?N, 79.2?E) and Hyderabad(17.4?N, 78.5?E) to study the modification of gravity-wave activity and turbulence by cyclone Nilam, using GPS radiosonde and mesosphere–stratosphere–troposphere radar data. The horizontal velocities underwent large changes during the closest approach of the storm to the experimental sites. Hodograph analysis revealed that inertia gravity waves(IGWs) associated with the cyclone changed their directions from northeast(control time) to northwest following the path of the cyclone. The momentum flux of IGWs and short-period gravity waves(1–8 h) enhanced prior to, and during, the passage of the storm(±0.05 m2s-2and ±0.3 m2s-2, respectively), compared to the flux after its passage. The corresponding body forces underwent similar changes, with values ranging between ±2–4m s-1d-1and ±12–15 m s-1d-1. The turbulence refractivity structure constant(C2n) showed large values below 10 km before the passage of the cyclone when humidity in the region was very high. Turbulence and humidity reduced during the passage of the storm when a turbulent layer at ～17 km became more intense. Turbulence in the lower troposphere and near the tropopause became weak after the passage of the cyclone. 相似文献
9.
10.
Netrananda Sahu Swadhin K. Behera J. V. Ratnam Roberto Valmir Da Silva Pradipta Parhi Weili Duan Kaoru Takara R. B. Singh Toshio Yamagata 《Climate Dynamics》2014,42(5-6):1509-1516
Extremely-low discharge events of the Paranaíba River basin during the austral summer season (December–February, DJF), are found to be associated with the Pacific sea surface temperature anomalies resembling the recently identified El Niño Modoki phenomenon. Extreme discharge events are identified based on their persistent flow for 7 days and more after taking retention time into consideration. Ninety percent of the extremely low discharge events during peak streamflow seasons of DJF, are found to occur during the El Niño Modoki years. A diagnostics study of atmospheric anomalies has shown a clear connection between the modified Walker circulation, associated with the El Niño Modoki, and the precipitation anomalies over the Paranaíba River basin. The climate variations have direct relationship with the rainfall. Streamflow variations are considered as the surrogates to rainfalls. Thus, El Niño Modoki phase is important component to understand and predict the streamflow variations in the Paranaíba River basin. 相似文献