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    <title>NOPR Collection:</title>
    <link>http://nopr.niscpr.res.in/handle/123456789/29986</link>
    <description />
    <pubDate>Sat, 10 Oct 2026 08:46:35 GMT</pubDate>
    <dc:date>2026-10-10T08:46:35Z</dc:date>
    <item>
      <title>Rainrate and rain attenuation statistics for different homogeneous regions of India</title>
      <link>http://nopr.niscpr.res.in/handle/123456789/30003</link>
      <description>Title: Rainrate and rain attenuation statistics for different homogeneous regions of India
Authors: Sulochana, Y; Chandrika, P; Rao, S Vijaya Bhaskara
Abstract: Rain rate and rain attenuation predictions&#xD;
are one of the most important steps to be considered when analyzing satellite&#xD;
communication links at the Ku and Ka bands. Rain rate distributions are calculated&#xD;
from the global data sets of Tropical Rainfall Measuring Mission (TRMM) and&#xD;
Global Precipitation Climatology Project (GPCP) for six rainfall homogeneous&#xD;
regions of India. The rain rate distributions are estimated from the monthly&#xD;
accumulations of TRMM and GPCP for the years 1998-2010. The estimated rain rate&#xD;
distributions are compared with the standard ITU-R P.837-5 (International&#xD;
Telecommunication Union - for Radio wave propagation) and observed relative&#xD;
errors are presented. The specific rain attenuation calculated at 0.01% and&#xD;
0.001% probabilities of exceedance in an average year for different frequencies&#xD;
are also presented for the six homogeneous regions of India. Observations&#xD;
indicate maximum specific attenuation in the NE region over Cheerapunji at&#xD;
0.001% of the time, and minimum attenuation of 21.988 dB km&lt;sup&gt;-1&lt;/sup&gt; in&#xD;
Bikaner at 0.01% for 50 GHz frequency in the NW region. Rain attenuation and&#xD;
rain rate distribution are found to exhibit similar characteristics over six&#xD;
homogeneous regions of India.
Page(s): 303-314</description>
      <pubDate>Fri, 01 Aug 2014 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://nopr.niscpr.res.in/handle/123456789/30003</guid>
      <dc:date>2014-08-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Estimation of daily surface ozone using periodic and stochastic modeling in Chennai region</title>
      <link>http://nopr.niscpr.res.in/handle/123456789/30002</link>
      <description>Title: Estimation of daily surface ozone using periodic and stochastic modeling in Chennai region
Authors: Padma, K; Selvaraj, R Samuel; Boaz, B Milton
Abstract: The present study deals with the modeling&#xD;
and forecasting of surface ozone time series in an urban area. First, an&#xD;
analysis of the systematic components (periodicity and stochastic components)&#xD;
was performed. Subsequently, prediction model for the daily surface ozone&#xD;
series was developed. In the recent years, there was no permanent measurement&#xD;
of surface ozone at this site, so surface ozone was measured from June 2011 to&#xD;
September 2012 at the urban site Koyembedu, Chennai (the capital of Tamil Nadu),&#xD;
India. Daily cumulative ozone data series was obtained by hourly instantaneous&#xD;
data. It was found, using Mann-Kendall test, that the data series is free of&#xD;
trend. The periodicity of ozone data was analyzed using Fourier Transform&#xD;
method. Stochastic components of ozone data are assumed as residues between&#xD;
observed ozone data and values computed from periodic model. Stochastic model&#xD;
presented in this research is basically a 3rd order autoregressive model. The&#xD;
developed models were validated using correlation coefficient between the&#xD;
predicted values and measured values. &#xD;
The spectrums of series exhibit 100 days period of daily surface ozone and&#xD;
implies that the pattern in the series is repeated every 100 days. The&#xD;
correlation coefficient (R) of this model delivers 0.810 and can provide mean&#xD;
bias error (MBE) = 0.85, and root mean square error (RMSE)=0.83. The result&#xD;
suggests that this approach is good for estimating daily surface ozone with&#xD;
sufficient accuracy.
Page(s): 293-302</description>
      <pubDate>Fri, 01 Aug 2014 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://nopr.niscpr.res.in/handle/123456789/30002</guid>
      <dc:date>2014-08-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Chemical characterization of particulate matter at Sinhagad, a high altitude station in Pune, India</title>
      <link>http://nopr.niscpr.res.in/handle/123456789/30001</link>
      <description>Title: Chemical characterization of particulate matter at Sinhagad, a high altitude station in Pune, India
Authors: Satsangi, P Gursumeeran; Chavan, Suresh P; Rao, P S P; Safai, P D
Abstract: Particulate matter, PM&lt;sub&gt;10 &lt;/sub&gt;and PM&lt;sub&gt;2.5&lt;/sub&gt;,&#xD;
samples were collected at Sinhagad, a high altitude location, near Pune, India&#xD;
during November 2008 - April 2009. &lt;span style="mso-bidi-font-size:&#xD;
11.0pt" lang="EN-GB"&gt;The average concentrations of PM&lt;sub&gt;10&lt;/sub&gt;, PM&lt;sub&gt;2.5&lt;/sub&gt; and PM&lt;sub&gt;10-2.5&lt;/sub&gt;&#xD;
at Sinhagad were 35.8, &#xD;
14.1 and 21.7 µg m&lt;sup&gt;-3&lt;/sup&gt;, respectively. The average ratio of PM&lt;sub&gt;2.5&lt;/sub&gt;/PM&lt;sub&gt;10&lt;/sub&gt;&#xD;
(0.39) suggested that PM&lt;sub&gt;10&lt;/sub&gt; at study area is dominated by primary&#xD;
particulate emissions by natural activities. In PM&lt;sub&gt;10&lt;/sub&gt;, anions and&#xD;
cations contributed 33% and 67%, whereas in PM&lt;sub&gt;2.5&lt;/sub&gt;, these were 43% and 57%. &lt;span style="mso-bidi-font-size:11.0pt" lang="EN-GB"&gt;In&#xD;
both PM&lt;sub&gt;10&lt;/sub&gt; and PM&lt;sub&gt;2.5&lt;/sub&gt;, contribution&#xD;
of marine components, viz. Na&lt;sup&gt;+&lt;/sup&gt;, Cl&lt;sup&gt;-&lt;/sup&gt; and Mg&lt;sup&gt;2+&lt;/sup&gt;&#xD;
were found to be 58% and 49%, respectively reflecting Arabian Sea is the major&#xD;
source of these components. All the ionic components in PM&lt;sub&gt;10&lt;/sub&gt; showed&#xD;
higher concentration in summer, whereas in PM&lt;sub&gt;2.5&lt;/sub&gt;, secondary&#xD;
particles (SO&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;2-&lt;/sup&gt;, NO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;-&lt;/sup&gt; and NH&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;+&lt;/sup&gt;)&#xD;
showed higher concentration in winter. The order of neutralization factor was&#xD;
found to be Ca&lt;sup&gt;2+ &lt;/sup&gt;&gt; Mg&lt;sup&gt;2+&lt;/sup&gt; &gt; NH&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;+&lt;/sup&gt;&#xD;
&gt; K&lt;sup&gt;+&lt;/sup&gt; for PM&lt;sub&gt;10&lt;/sub&gt;; and Ca&lt;sup&gt;2+&lt;/sup&gt; &gt; NH&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;+&lt;/sup&gt;&#xD;
&gt; Mg&lt;sup&gt;2+&lt;/sup&gt; &gt; K&lt;sup&gt;+&lt;/sup&gt; for PM&lt;sub&gt;2.5&lt;/sub&gt;. Source&#xD;
categorization, i.e. marine, crustal and anthropogenic of chemical components&#xD;
of PM has been done. Sea salt and crustal fractions have been calculated by&#xD;
assuming entire Na and Ca from Sea and crust, respectively. The fraction of the&#xD;
chemical component, which remains after deducting the sea and crust fractions,&#xD;
has been considered as of anthropogenic origin. Major contribution observed was&#xD;
from marine sources &#xD;
[PM&lt;sub&gt;2.5&lt;/sub&gt; (43%) and PM&lt;sub&gt;10 &lt;/sub&gt;(53%)]; followed by crustal sources&#xD;
[&lt;span style="mso-bidi-font-size:11.0pt" lang="EN-GB"&gt;PM&lt;sub&gt;2.5&lt;/sub&gt;&#xD;
(25%) and PM&lt;sub&gt;10&lt;/sub&gt; (30%)]; and then&#xD;
anthropogenic sources [(PM&lt;sub&gt;2.5&lt;/sub&gt; (32%) and PM&lt;sub&gt;10 &lt;/sub&gt;(17%)].&#xD;
&#xD;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;
Page(s): 284-292</description>
      <pubDate>Fri, 01 Aug 2014 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://nopr.niscpr.res.in/handle/123456789/30001</guid>
      <dc:date>2014-08-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Equatorial and mid-latitude ionospheric currents over the Indian region based on 40 years of data at Trivandrum and Alibag</title>
      <link>http://nopr.niscpr.res.in/handle/123456789/30000</link>
      <description>Title: Equatorial and mid-latitude ionospheric currents over the Indian region based on 40 years of data at Trivandrum and Alibag
Authors: Rastogi, R G; Chandra, H; Janardhan, P; Shah, Rahul
Abstract: Forty years of geomagnetic data obtained&#xD;
from two Indian stations, Trivandrum (TRD) located near the magnetic equator;&#xD;
and Alibag (ABG) located away from the magnetic equator, for the period&#xD;
1958-1998 are examined to study the daily ranges in H and in the strength of&#xD;
the equatorial electrojet (EEJ) obtained from the differences in the ranges at&#xD;
the two stations. Mean diurnal and seasonal variations in H, averaged over the&#xD;
40 years are described for the two stations and for EEJ. The annual mean ranges&#xD;
in H show linear increases with sunspot number (Rz) and vary from 65 to 140 nT&#xD;
at TRD, 30 to 70 nT at ABG and from 40 to 72 nT for the EEJ. The rate of&#xD;
increase in H is faster at TRD than at ABG. Seasonal variations show&#xD;
equinoctial maxima for TRD and EEJ during the months of April and October. The&#xD;
range of H at ABG shows a weak secondary maximum during June-July, in addition&#xD;
to maxima during April and October. During the months of June-July, the range&#xD;
of H at ABG is stronger than that of EEJ. The occurrence of the afternoon&#xD;
counter electrojet is highest during low sunspot years and seasonally, during&#xD;
the June solstices.
Page(s): 274-283</description>
      <pubDate>Fri, 01 Aug 2014 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://nopr.niscpr.res.in/handle/123456789/30000</guid>
      <dc:date>2014-08-01T00:00:00Z</dc:date>
    </item>
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