Plasma inhomogeneities in the topside ionosphere in the region of the geomagnetic equator and wave radiation according to the APEX satellite data

AbstractCumulative stress energy in active seismic regions caused by tectonic forces creates various earthquake precursors. This energy transformation may result in enhanced transient thermal infrared (TIR) emission, which can be detected through satellites equipped with thermal sensors like MODIS (Terra/Aqua) and AVHRR (NOAA). Satellite time-series data, coupled with ground based observations, where available, can enable scientists to survey pre-earthquake signals in the areas of strong tectonic activity. This paper presents observations made using time series MODIS and NOAA-AVHRR satellite data for derived multi-parameters including land surface temperature (LST), outgoing long-wave radiation (OLR), and mean air temperature (AT) for the moderate, 5.9 magnitude earthquake, which took place on the 27th of October, 2004, inthe seismic region of Vrancea, in Romania. Anomalous thermal infrared signals, reflected by a rise of several degrees celsius (°C) in LSTs, and higher OLR values were seen several days before the earthquake. AT values in the epicentral area also increased almost two days prior to the earthquake and intensified three days after the main shock. Increases in LSTs and OLR disappeared three days after the main shock. The survey and joint analysis of geospatial and in-situ geophysical information on land surface temperatures and outgoing long-wave radiation provides new insights into the field of seismic hazard assessment in Vrancea, a significant area of tectonic activity in Romania and Europe.

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Plasma wave radiation in the main ionospheric trough in the region of the terminator from the APEX satellite data

Geomagnetism and Aeronomy ◽

10.1134/s0016793206060065 ◽

2006 ◽

Vol 46 (6) ◽

pp. 717-723 ◽

Cited By ~ 3

Author(s):

N. I. Izhovkina ◽

I. S. Prutensky ◽

S. A. Pulinets ◽

Z. Klos ◽

H. Rothkaehl

Keyword(s):

Plasma Wave ◽

Satellite Data ◽

Wave Radiation ◽

Main Ionospheric Trough

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Climate Change Analysis using Satellite Data

Mapana Journal of Sciences ◽

10.12723/mjs.32.4 ◽

2017 ◽

Vol 14 (1) ◽

pp. 25-39

Author(s):

Kamsali Nagaraja Balakrishnan Manikiam

Keyword(s):

Climate Change ◽

Satellite Data ◽

Indian Subcontinent ◽

Biosphere Reserve ◽

Soil Condition ◽

Wave Radiation ◽

Change Analysis ◽

Precipitation Estimates ◽

Quantitative Precipitation Estimates

Recent times have witnessed increasing impact of industrialization and urban growth on environment. In addition, the potential climate changes and possible adverse impacts on the economy and society at large are causing concern. In India, one of the major concerns is the variability of monsoon rainfall and effects on agriculture and water management. The various parameters associated with environment and climate change need to be monitored and analyzed. The effects of global warming on the Indian subcontinent vary from the submergence of low-lying islands, frequent flooding, coastal degradation and melting of glaciers in the Indian Himalayas. Indian satellites INSAT and IRS launched in early 1980s heralded the era of Space observations. The IRS satellites are providing observations of parameters such as land use/cover, forest, water bodies, crops etc. while INSAT provides quantitative products such as Cloud Motion Vectors (CMVs), Quantitative Precipitation Estimates (QPEs), Outgoing Long-wave Radiation (OLR), Vertical Temperature Profiles (VTPRs), Sea Surface Temperature. The satellite data is operationally used for generating long term database on vegetation, soil condition, rainfall, groundwater etc.. Some of the unique studies are Biosphere Reserve Monitoring, Mapping of

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Observations and model calculations of an additional layer in the topside ionosphere above Fortaleza, Brazil

Annales Geophysicae ◽

10.1007/s00585-997-0753-3 ◽

1997 ◽

Vol 15 (6) ◽

pp. 753-759 ◽

Cited By ~ 51

Author(s):

B. Jenkins ◽

G. J. Bailey ◽

M. A. Abdu ◽

I. S. Batista ◽

N. Balan

Keyword(s):

Vertical Component ◽

Topside Ionosphere ◽

Neutral Wind ◽

Geomagnetic Equator ◽

Low Latitude ◽

Model Calculations ◽

Additional Layer ◽

Ionosphere Model

Abstract. Calculations using the Sheffield University plasmasphere ionosphere model have shown that under certain conditions an additional layer can form in the low latitude topside ionosphere. This layer (the F3 layer) has subsequently been observed in ionograms recorded at Fortaleza in Brazil. It has not been observed in ionograms recorded at the neighbouring station São Luis. Model calculations have shown that the F3 layer is most likely to form in summer at Fortaleza due to a combination of the neutral wind and the E×B drift acting to raise the plasma. At the location of São Luis, almost on the geomagnetic equator, the neutral wind has a smaller vertical component so the F3 layer does not form.

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On the net long-wave radiation determination from satellite data

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.1996.516920 ◽

2002 ◽

Author(s):

Yong Xue ◽

S.P. Lawrence ◽

D.T. Llewellyn-Jones

Keyword(s):

Satellite Data ◽

Wave Radiation ◽

Long Wave ◽

Long Wave Radiation

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Recent very severe tropical cyclones over the Bay of Bengal : Analysis with satellite data

MAUSAM ◽

10.54302/mausam.v57i1.453 ◽

2021 ◽

Vol 57 (1) ◽

pp. 37-46

Author(s):

B. R. LOE ◽

B. L. VERMA ◽

R. K. GIRI ◽

S. BALI ◽

L. R. MEENA

Keyword(s):

Tropical Cyclones ◽

Satellite Data ◽

Bay Of Bengal ◽

Wave Radiation ◽

Cyclonic Storm ◽

The Difference ◽

Remote Sensing Techniques ◽

Pseudo Color ◽

The Impact ◽

Cyclonic Storms

lkj & bl 'kks/k&i= esa caxky dh [kkM+h ds m".kdfVca/kh; pØokrksa dh rhozrk dk vkdyu vkSj pØokr ds ekxZ dk iwokZuqeku yxkus esa mixzg ds vk¡dM+ksa ls cus izHkko dks n’kkZ;k x;k gSA bl 'kks/k&i= esa ys[kdksa us pØokrh rwQkuksa ds ekxZ dk] pØokr ds cuus dk vkSj pØokr dh xfrfof/k;ksa dk irk yxkus esa mixzg ds vk¡dM+ksa ds mi;ksx dks vuqdwy cukus esa lqnwj laosnh rduhdksa dh gky gh esa feyh lQyrk vkSj mlds mi;ksx dh izxfr ij fo’ks"k :Ik ls /;ku dsfUnzr fd;k gSA nks pØokrksa dk fo’ys"k.k fd;k x;k gS & 16 ls 19 ebZ 2004 esa E;kaekj esa vk;k izpaM pØokrh rwQku vkSj nwljk 26 ls 31 vDrwcj 1999 esa mM+hlk esa vk;k pØokrA pØokrh rwQkuksa ds cuus vkSj muds vkxs c<+us ds iwokZuqeku esa vfr mPp foHksnu jsfM;ksehVj ¼oh- ,p- vkj- vkj-½ vk¡dM+ksa] LdsVªksehVj iouksa vkSj cfgxkZeh nh?kZrjax fofdj.k ¼vks- ,y- vkj-½ ds pØokrksa ds vkl&ikl Ñf=e o.kZ esa n’kkZ, x, vk¡dM+ksa dk mi;ksx djrh gqbZ mixzg ij vk/kkfjr rduhd cgqr vf/kd mi;ksxh ikbZ xbZ gSA bl v/;;u esa caxky dh [kkM+h esa vk, nks pØokrksa ds cuus vkSj muds vkxs c<+us dh vlekurk dks fo’ks"k :Ik ls crk;k x;k gSA This paper shows the impact made by the satellite data in the intensity estimation and track prediction of tropical cyclones of Bay of Bengal. The authors in this paper have focused on the recent accomplishment and advances in the remote sensing techniques to optimize the use of satellite data in tracking, formation and movement of cyclonic storms. Two cyclones - firstly the Myanmar severe cyclonic storm of 16 to 19 May 2004 and secondly the 26 – 31 October 1999 Orissa cyclone have been analysed. Satellite based technique using Very High Resolution Radiometer (VHRR) data, scatterometer winds and outgoing long wave radiation (OLR) data in pseudo color around the cyclones have been found to be more useful in predicting formation and movement of cyclonic storms. The present study has significantly brought out the difference in formation and movement of the two cyclones formed over the Bay of Bengal.

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