Competing impact of anthropogenic emissions and meteorology on the distribution of trace gases over Indian region     

Tabish U. Ansari  N. Ojha  R. Chandrasekar  C. Balaji  Narendra Singh  Sachin S. Gunthe 《Journal of Atmospheric Chemistry》2016,73(4):363-380

The spatial distribution of trace gases exhibit large spatial heterogeneity over the Indian region with an elevated pollution loading over densely populated Gangetic Plains (IGP). The contending role and importance of anthropogenic emissions and meteorology in deciding the trace gases level and distribution over Indian region, however, is poorly investigated. In this paper, we use an online regional chemistry transport model (WRF/Chem) to simulate the spatial distribution of trace gases over Indian region during one representative month of only three meteorological seasons namely winter, spring/summer and monsoon. The base simulation, using anthropogenic emissions from SEAC⁴RS inventory, is used to simulate the general meteorological conditions and the realistic spatial distribution of trace gases. A sensitivity simulation is conducted after removing the spatial heterogeneity in the anthropogenic emissions, i.e., with spatially uniform emissions to decouple the role of anthropogenic emissions and meteorology and their role in controlling the distribution of trace gases over India. The concentration levels of Ozone, CO, SO₂ and NO₂ were found to be lower over IGP when the emissions are uniform over India. A comparison of the base run with the sensitivity run highlights that meteorology plays a dominant role in controlling the spatial distribution of relatively longer-lived species like CO and secondary species like Ozone while short-lived species like NO_X and SO₂ are predominantly controlled by the spatial variability in anthropogenic emissions over the Indian region.  相似文献   

Prediction of daily modes of South Asian monsoon variability and its association with Indian and Pacific Ocean SST in the NCEP CFS V2     

Namendra Kumar Shahi  Shailendra Rai  D. K. Pandey 《Meteorology and Atmospheric Physics》2016,128(1):131-142

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Characterization and radiative impact of dust aerosols over northwestern part of India: a case study during a severe dust storm     

Atinderpal Singh  Shani Tiwari  Deepti Sharma  Darshan Singh  Suresh Tiwari  Atul Kumar Srivastava  Neeraj Rastogi  A. K. Singh 《Meteorology and Atmospheric Physics》2016,128(6):779-792

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Evaluation of transitional behavior of wetness/drought regimes in the Poyang Lake Basin,China     

Qiang Zhang  Peng Sun  Vijay P. Singh  Jianfeng Li  Xinjun Tu 《Theoretical and Applied Climatology》2016,126(3-4):631-642

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Identification of Suitable Natural Calibration Test Site for the Calibration of IRS Optical Sensors     

Shailendra S. Srivastava  Yogdeep Desai  K. S. S. Sekhar  V. R. Bhavsar  Shambhu Singh Tak  Maneesha Gupta  N. K. Vyas  K. V. S. Badarinath  B. Kartikeyan 《Journal of the Indian Society of Remote Sensing》2016,44(3):307-319

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Identification of Black Spots on Highway with Kernel Density Estimation Method     

H. A. S. Sandhu  Gyanendra Singh  M. S. Sisodia  Rajiv Chauhan 《Journal of the Indian Society of Remote Sensing》2016,44(3):457-464

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Spatio-Temporal Forest Change Assessment Using Time Series Satellite Data in Palamu District of Jharkhand,India     

Beependra Singh  C. Jeganathan 《Journal of the Indian Society of Remote Sensing》2016,44(4):573-581

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Large-Scale Soil Resource Mapping Using IRS-P6 LISS-IV and Cartosat-1 DEM in Basaltic Terrain of Central India     

Nisha Sahu  S. K. Singh  G. P. Obi Reddy  Nirmal Kumar  M. S. S. Nagaraju  Rajeev Srivastava 《Journal of the Indian Society of Remote Sensing》2016,44(5):811-819

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TEC variation over an equatorial and anomaly crest region in India during 2012 and 2013     

Sanjay Kumar  Kalpana Patel  Abhay Kumar Singh 《GPS Solutions》2016,20(4):617-626

Using the global positioning system (GPS) measurements, the total electron content (TEC) at station Bangalore (13.02°N, 77.57°E geographic; 04.44°N, 150.84°E geomagnetic), lying at the equatorial region, and station Lucknow (26.91°N, 80.95°E geographic; 17.96°N, 155.24°E geomagnetic), lying at equatorial ionospheric anomaly (EIA) crest region, have been estimated for the year 2012–2013. In order to evaluate the International Reference Ionosphere (IRI) model regarding simulation/modeling of ionospheric studies specially at equatorial and EIA crest regions, we have compared the TEC derived from the recent version of the IRI-2012 model and the older IRI-2007 with its three topside options, namely IRI-NeQuick (IRI-NeQ), IRI-2001, and IRI01-corr, with that of GPS-TEC over Bangalore and Lucknow. For the EIA station Lucknow, the IRI-2012 model with IRI-NeQ and IRI01-corr topside is found in good agreement with GPS-TEC during summer and equinox season, while the IRI-2012 model for all three topside options significantly overestimates the GPS-TEC during winter season. The IRI-2001 topside overestimates the GPS-TEC over both the stations during all seasons. The anomalous difference between the IRI-2012 model prediction and ground-based GPS-TEC in daytime hours during the winter season observed at Lucknow could be attributed to discrepancies in the slab thickness predicted by the model, which is more during the winter season as compared to summer and equinox. These large discrepancies in the slab thickness predicted by the IRI-2012 as well as the IRI-2007 model during the winter season have been supported by using the foF2 data from Constellation Observing System for Meteorology, Ionosphere, and Climate radio occultation-based measurements. We also observed that the discrepancies in the recent IRI-2012 model with respect to GPS-TEC are found to be slightly larger than those with the older IRI-2007 model over the EIA region Lucknow. However, over the equatorial region Bangalore, the discrepancy with the older model IRI-2007 was found to be larger than with the recent IRI-2012 model. This suggests that the performance of the IRI-2012 model is poorer than the IRI-2007 model at the EIA region while better at equatorial region, and that further improvements in the IRI-2012 models are required particularly in the low-latitude and EIA regions. The GPS-TEC showed disappearance of the winter anomaly during 2012–2013, while the IRI model failed to predict the disappearance of winter anomaly.  相似文献   

Effect of sensor modelling methods on computation of 3-D coordinates from Cartosat-1 stereo data     

Mritunjay Kumar Singh  R.D. Gupta  Snehmani  Anshuman Bhardwaj  Ashwagosha Ganju 《国际地球制图》2016,31(5):506-526

The orbital and the rational polynomial coefficients (RPC) models are the two most commonly used models to compute a three-dimensional coordinates from an image stereo-pair. But it is still confusing that with the identical user provided inputs, which one of these two models provides more accurate digital elevation model (DEM), especially for mountainous terrain. This study aimed to find out the answer by evaluating the impact of used models on the vertical accuracy of DEM extracted from Cartosat-1 stereo data. We used high-accuracy photogrammetric DEM as the reference DEM. Apart from general variations in statistics, surprisingly in a few instances, both the DEMs provided contrasting results, thus proving the significance of this study. The computed root mean square errors and linear error at 90% (LE90) were lower in case of RPC DEM for various classes of slope, aspect and land cover, thus suggesting its better relative accuracy.  相似文献