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University of Agricultural Sciences, Dharwad
Department of Agricultural Meteorology
Master’s seminar- I
On
“ Intraseasonal Variations of Indian Summer
Monsoon and its influence on Agriculture”
Presented by
Hemareddy T
PGS19AGR8073
Sequence of Presentation
Introduction
Indian Summer Monsoon
Intraseasonal Variations
Madden Julian Oscillation
Research papers
Conclusion
Future line of work
Introduction
Word “Monsoon” is derived from the Arabic word for
season.
Monsoon is defined as seasonal reversing of wind system
accompanied by seasonal changes in atmospheric circulation
and precipitation.
Indian summer monsoon is a branch of Asiatic monsoon.
Primary theories behind the cause of monsoon is the
differential heating of ocean and land (Halley,1686) and shifts
in inter tropical conversion zone.
Fig 1:The Thermal Theory of Monsoons
Edmond Halley(1686)
Jun Jian, 2005
Indian Summer Monsoon (Jun-Sept)
• Also called the Southwest monsoon is due to northward movement of ITCZ
along with the movement of the sun.
• A very deep low pressure (~994mb) develops over the Tibetan plateau and a
high pressure (~1025mb) build up over the Mascarene island in the
Southern Indian Ocean near Madagaskar, and it is called the Mascarene
high.
• This environmental condition creates a strong pressure gradient force
between the Tibetan low and the Mascarene high. Hence the moisture laden
winds will start blowing from the Mascarene high (Southern Indian Ocean)
to the Tibetan low.
• As the air is coming from the ocean it carries enough moisture in it and
these moisture laden winds are allowed to lift up by the mountain ranges of
India and produce heavy rainfall over Indian sub continent.
Fig 2: A map showing the circulation of surface
winds during the summer monsoon in India
Source: NROER
Fig 3: Advance of Southwest Monsoon-2020
IMD, 2020
Climatic Variabilities On Indian Summer
Monsoon
Intra-seasonal monsoon variability
Inter-annual monsoon variability
Decadal monsoon variability
Active and break spells
Cyclonic disturbances
ENSO & LNSO
Climate change
Intraseasonal variations of monsoon
• The Intra seasonal variations of monsoons are characterised by the
several atmospheric waves (oscillation patterns) which are present in
the tropical region.
• This is also called the Monsoon Intra Seasonal Oscillations (MISO)
and Boreal Summer Intra Seasonal Oscillations (BSISO).
• Outgoing long wave radiation(OLR), Temperature, Sea Surface
Temperature(SST), Wind movement and Atmospheric pressure are
some of the factors which vary the monsoons.
The salient features of Intraseasonal variation
1. Northward movement of the rainbelt from the equatorial Indian
Ocean onto the continent during the onset phase of the monsoon,
during late May or early June.
2. Persistence of the rainbelt in the northern monsoon zone (~ 25°N).
3. Disappearance of the rainbelt from the northern monsoon zone for
periods ranging from a few days to a few weeks.
4. Revival of the rainbelt from break spells either by genesis within the
monsoon zone or by northward propagation of the oceanic rainbelt.
The mean period between northward propagations is about forty
days.(Ravi S. Nanjundiah, 2006)
• The main waves responsible for the intra seasonal oscillations are
Madden-Julian Oscillation (MJO), Quasi-Biennial Oscillation
(QBO) and other atmospheric waves such as Gravity waves (GW),
Equatorial Rossby waves (ER), Kelvin waves and Mixed Rossby
Gravity waves (MRG) etc.
• Since the Madden-Julian Oscillation (MJO) originates from the west
Indian Ocean and disappears over the central Pacific Ocean
(International Date Line) it play a very important role in the intra
seasonal variations of Indian Summer Monsoon rainfall.
Madden Julian Oscillation (MJO)
• It was discovered in the early 1970s by Dr. Roland Madden and Dr. Paul Julian.
• It is a large scale coupling between the atmospheric circulations and tropical
convection.
• It is a 30-60 day oscillation cycle originating from the West Indian Ocean and
moving eastward and disappears over the central Pacific Ocean somewhere around
the International Date Line.
• Enhanced and suppressed rainfall observed mainly over Indian and Pacific ocean.
• After rotating the globe it again re-generats at lower amplitudes over the Atlantic
Ocean and in higher amplitudes over the western Indian Ocean and begins a new
spell.
Fig 4: MJO movement from west Indian ocean to
central Pacific.
MJO is having two phases namely
Wet/Active phase: Characterised by the enhanced convections and
rainfall anomalies.
Dry/Break phase: Characterized by the suppressed convection and
dry atmospheric conditions.
• Its primary peak season is Austral (southern) summer season when the
strongest MJO signals are south of the equator. The second peak
season is the Boreal (northern) summer season when the strongest
MJO signals are north of the equator.
• During the northern winter the MJO is propagating eastward and in the
northern summer it is propagating north-eastward and hence it is
having a direct inter relationship with the south-westerly monsoon
flow and in turn it can regulate the Indian summer monsoon rainfall.
MJO link to the ENSO & LNSO oscillations
• There is strong season to season(intraseasonal) and year-to-year
(interannual) variability in Madden–Julian oscillation activity, with
long periods of strong activity followed by periods in which the
oscillation is weak or absent.
• In the Pacific, strong MJO activity is often observed 6 to 12 months
prior to the onset of an El Niño episode, but is virtually absent during
the maxima of some El Niño episodes, while MJO activity is typically
greater during a La Niña episode.
• Strong events in the Madden–Julian oscillation over a series of months
in the western Pacific can speed the development of an El Niño or La
Niña.
Impact of climate change on MJO
• The MJO travels a stretch of 12,000–20,000 km over the tropical
oceans, mainly over the Indo-Pacific warm pool, which has ocean
temperatures generally warmer than 28 °C.
• This Indo-Pacific warm pool has been warming rapidly, altering the
residence time of MJO over the tropical oceans. While the total
lifespan of MJO remains in the 30–60 day timescale, its residence time
have shortened over the Indian Ocean by 3–4 days (from an average of
15 days to 19 days) and increased by 5–6 days over the West Pacific
(from an average of 18 days to 23 days).
• This change in the residence time of MJO has altered the rainfall
patterns across the globe.
The active and break spells of South-west
monsoon
• The south west monsoon rainfall is having two phases namely the active phase
and the break phase.
• The monsoon is said to be in ‘‘active phase’’ when the central parts and the west
coast of India get normal or above normal rainfall.
• The ‘‘break phase’’ it is defined as the rain fall below normal over most parts of
India except in the hills in the north and in the southeast corner.
• The active and break monsoon conditions are also modified by the influence of the
MJO and other oscillation patterns. The break phase of the south-west monsoon
has a large impact on rain fed agriculture. In general most of the breaks occur
with duration of about 3–5 days(Rajeevan et al.,2010).
Fig 5:
Monsoon trough
• The monsoon trough is a portion depicted by a line on
a weather map showing the locations of minimum sea level
pressure.
• If the monsoon trough is extended along the foot hills of
Himalaya it is called an “Active monsoon” condition.
• When the monsoon trough crosses the Himalayan ranges their
will reduction in the amount of Indian Summer Monsoon
Rainfall and this environmental condition is called the “Break
monsoon” condition.
Fig 6: Active and Break phases influenced by monsoon
trough
Weatherview.in
Quasi Biennial Oscillation
• The quasi-biennial oscillation (QBO) is a quasi-periodic oscillation of the equatorial zonal
wind between easterlies and westerlies in the tropical stratosphere with a mean period of
28 to 29 months(Baldwin et al., 2001).
• The alternating wind regimes develop at the top of the lower stratosphere and propagate
downwards at about 1 km (0.6 mi) per month until they are dissipated at the tropical
tropopause.
• Downward motion of the easterlies is usually more irregular than that of the westerlies.
The amplitude of the easterly phase is about twice as strong as that of the westerly phase.
• And the another important oscillation type is the quasi-biweekly oscillation (QBW). This
oscillation is having a periodicity of 12–20-days. It is one of the major systems that affect
the seasonal mean climate of the tropical and subtropical countries.
• Hence the Indian summer monsoon is also getting affected by these oscillation pattern
and results in reduction in the seasonal and annual rainfall over Indian sub continent.
Fig 7: QBO
Smith et al., 2012
Research papers
Fig 8. Regional mean intraseasonal precipitation (mm day-1 ; black solid curves) and intraseasonal SST
anomalies (0C; blue solid curves) in (a) WCI and (b) NBB. The time mean of precipitation (black dotted
lines) and one std dev above the mean (black solid lines) are superimposed. The beginning of each heavy
precipitation event is marked with a red dot.
Jingyuan et al., 2015 China
Fig 9: (a) Thick black solid curve: 30-yr mean TT index (from 1982 to 2011) from March to December. Thin dash curves:
mean TT index plus and minus one std dev. Gray curve: std dev of TT index. The gray curve is 5 times larger than
the actual std dev of the TT index for clarity. On each day, the mean and std dev are calculated with the data on that
day from 1982 to 2011. (b) Std devs of intraseasonal OLR and intraseasonal precipitation, which are averaged within
the northern region for calculating the TT index.
Lei and Raghu, 2013 China & Maryland
Fig 11: All-India daily rainfall anomalies (bars), 30-60 days (red curve) and 10-20 days (blue curve) filtered
anomalies for 1 June to 30 September for the period 1901-2005. The scale for daily rainfall anomalies is
left Y axis while that of daily filtered anomalies is right Y axis. Figures in the bracket indicate AIMR for
corresponding year
IITM, Pune Ashwini et.al. 2006
Fig 12: Composite mean of daily rainfall departure from normal (in %) for (a) 10 excess
monsoon years and (b) 10 deficient monsoon years for data period 1951 – 2003.
IITM, Pune Kakade et.al, 2008
Fig 13: Daily TRMM precipitation averaged over (a) the EAS and (b) the BoB. Gray
shadings denote the ISM season of 15 May–15 October. The red lines with circles
denotes the ISM-mean precipitation for each year.
Yuonlong et al., 2016 USA & India
Fig 14: Maps showing 20–90-day TRMM precipitation (mm day-1 ) for the (c) developing
stage (15 May–30 June), (d) mature stage (1 July–31 August), and (e) decaying stage
(1 September–15 October) of the ISM.
Yuonlong et al., 2016 USA & India
Fig 15: TMI and CFSR products of 1998–2010. The black rectangles define the
areas of the EAS (108–208N, 658–758E) and the BoB (108–208N, 858–
958E).
Wang et al., 2016 Maryland & India
Impact of MJO on Indian Summer monsoon
Fig. 16: Frequency of MJO phases 1 to 8 (≥6 days) during onset period for the
data period 1979– 2015.
Bhatla et al., 2016 BHU, Varanasi
Fig 17: Day-to-day variation of MJO amplitude/mean amplitude for the a pre-onset, b normal-onset, and c
post-onset years during the period1979–2015
Bhatla et al., 2016, BHU Varanasi
Fig 18: 800, 400 &200(hpa) pressure variations for the years 2013 &
2014.
2013
2014
Hussain et.al., 2015, Hyderabad
Active and Break Spells of Monsoon
Fig 19: Composites of OLR anomalies (Wm−2) during (a) break
and (b) active spells. Period of analysis: 1979–2007
Rajeevan et al., 2010, India
Fig 20: Time series of (a) active days and (b) break days
during July and August. Period: 1951–2007
Gadgil et al., 2010, India
Conclusion
• The intra-seasonal variability makes up an extremely important part of
the character and evolution of Indian summer monsoon . Its most
pronounced influence is associated with its direct connection to active
and break phases of monsoon.
• Fluctuating monsoons due to ISVs influence on Cropping Pattern and
Evapotranspiration.
• MJO has the dominant role on intraseasonal variability in the tropical
atmosphere and also with onset of the Indian summer monsoon.
Future Line Of Work
• Further understanding of the relation between the ISVs and ISM will
be helpful for the study of the interannual variability of ISM and the
prediction skill on the ISM.
• More attention and effort should be paid to understand oceanic
processes in the tropical Indian Ocean and incorporate the knowledge
into the monsoon prediction.
• Studies on ISVs of Monsoon in relation with Agriculture should be
strengthened.
THANK YOU

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Intraseasonal Variations of Indian Summer Monsoon

  • 1. University of Agricultural Sciences, Dharwad Department of Agricultural Meteorology Master’s seminar- I On “ Intraseasonal Variations of Indian Summer Monsoon and its influence on Agriculture” Presented by Hemareddy T PGS19AGR8073
  • 2. Sequence of Presentation Introduction Indian Summer Monsoon Intraseasonal Variations Madden Julian Oscillation Research papers Conclusion Future line of work
  • 3. Introduction Word “Monsoon” is derived from the Arabic word for season. Monsoon is defined as seasonal reversing of wind system accompanied by seasonal changes in atmospheric circulation and precipitation. Indian summer monsoon is a branch of Asiatic monsoon. Primary theories behind the cause of monsoon is the differential heating of ocean and land (Halley,1686) and shifts in inter tropical conversion zone.
  • 4. Fig 1:The Thermal Theory of Monsoons Edmond Halley(1686) Jun Jian, 2005
  • 5. Indian Summer Monsoon (Jun-Sept) • Also called the Southwest monsoon is due to northward movement of ITCZ along with the movement of the sun. • A very deep low pressure (~994mb) develops over the Tibetan plateau and a high pressure (~1025mb) build up over the Mascarene island in the Southern Indian Ocean near Madagaskar, and it is called the Mascarene high. • This environmental condition creates a strong pressure gradient force between the Tibetan low and the Mascarene high. Hence the moisture laden winds will start blowing from the Mascarene high (Southern Indian Ocean) to the Tibetan low. • As the air is coming from the ocean it carries enough moisture in it and these moisture laden winds are allowed to lift up by the mountain ranges of India and produce heavy rainfall over Indian sub continent.
  • 6. Fig 2: A map showing the circulation of surface winds during the summer monsoon in India Source: NROER
  • 7. Fig 3: Advance of Southwest Monsoon-2020 IMD, 2020
  • 8. Climatic Variabilities On Indian Summer Monsoon Intra-seasonal monsoon variability Inter-annual monsoon variability Decadal monsoon variability Active and break spells Cyclonic disturbances ENSO & LNSO Climate change
  • 9. Intraseasonal variations of monsoon • The Intra seasonal variations of monsoons are characterised by the several atmospheric waves (oscillation patterns) which are present in the tropical region. • This is also called the Monsoon Intra Seasonal Oscillations (MISO) and Boreal Summer Intra Seasonal Oscillations (BSISO). • Outgoing long wave radiation(OLR), Temperature, Sea Surface Temperature(SST), Wind movement and Atmospheric pressure are some of the factors which vary the monsoons.
  • 10. The salient features of Intraseasonal variation 1. Northward movement of the rainbelt from the equatorial Indian Ocean onto the continent during the onset phase of the monsoon, during late May or early June. 2. Persistence of the rainbelt in the northern monsoon zone (~ 25°N). 3. Disappearance of the rainbelt from the northern monsoon zone for periods ranging from a few days to a few weeks. 4. Revival of the rainbelt from break spells either by genesis within the monsoon zone or by northward propagation of the oceanic rainbelt. The mean period between northward propagations is about forty days.(Ravi S. Nanjundiah, 2006)
  • 11. • The main waves responsible for the intra seasonal oscillations are Madden-Julian Oscillation (MJO), Quasi-Biennial Oscillation (QBO) and other atmospheric waves such as Gravity waves (GW), Equatorial Rossby waves (ER), Kelvin waves and Mixed Rossby Gravity waves (MRG) etc. • Since the Madden-Julian Oscillation (MJO) originates from the west Indian Ocean and disappears over the central Pacific Ocean (International Date Line) it play a very important role in the intra seasonal variations of Indian Summer Monsoon rainfall.
  • 12. Madden Julian Oscillation (MJO) • It was discovered in the early 1970s by Dr. Roland Madden and Dr. Paul Julian. • It is a large scale coupling between the atmospheric circulations and tropical convection. • It is a 30-60 day oscillation cycle originating from the West Indian Ocean and moving eastward and disappears over the central Pacific Ocean somewhere around the International Date Line. • Enhanced and suppressed rainfall observed mainly over Indian and Pacific ocean. • After rotating the globe it again re-generats at lower amplitudes over the Atlantic Ocean and in higher amplitudes over the western Indian Ocean and begins a new spell.
  • 13. Fig 4: MJO movement from west Indian ocean to central Pacific.
  • 14. MJO is having two phases namely Wet/Active phase: Characterised by the enhanced convections and rainfall anomalies. Dry/Break phase: Characterized by the suppressed convection and dry atmospheric conditions. • Its primary peak season is Austral (southern) summer season when the strongest MJO signals are south of the equator. The second peak season is the Boreal (northern) summer season when the strongest MJO signals are north of the equator. • During the northern winter the MJO is propagating eastward and in the northern summer it is propagating north-eastward and hence it is having a direct inter relationship with the south-westerly monsoon flow and in turn it can regulate the Indian summer monsoon rainfall.
  • 15. MJO link to the ENSO & LNSO oscillations • There is strong season to season(intraseasonal) and year-to-year (interannual) variability in Madden–Julian oscillation activity, with long periods of strong activity followed by periods in which the oscillation is weak or absent. • In the Pacific, strong MJO activity is often observed 6 to 12 months prior to the onset of an El Niño episode, but is virtually absent during the maxima of some El Niño episodes, while MJO activity is typically greater during a La Niña episode. • Strong events in the Madden–Julian oscillation over a series of months in the western Pacific can speed the development of an El Niño or La Niña.
  • 16. Impact of climate change on MJO • The MJO travels a stretch of 12,000–20,000 km over the tropical oceans, mainly over the Indo-Pacific warm pool, which has ocean temperatures generally warmer than 28 °C. • This Indo-Pacific warm pool has been warming rapidly, altering the residence time of MJO over the tropical oceans. While the total lifespan of MJO remains in the 30–60 day timescale, its residence time have shortened over the Indian Ocean by 3–4 days (from an average of 15 days to 19 days) and increased by 5–6 days over the West Pacific (from an average of 18 days to 23 days). • This change in the residence time of MJO has altered the rainfall patterns across the globe.
  • 17. The active and break spells of South-west monsoon • The south west monsoon rainfall is having two phases namely the active phase and the break phase. • The monsoon is said to be in ‘‘active phase’’ when the central parts and the west coast of India get normal or above normal rainfall. • The ‘‘break phase’’ it is defined as the rain fall below normal over most parts of India except in the hills in the north and in the southeast corner. • The active and break monsoon conditions are also modified by the influence of the MJO and other oscillation patterns. The break phase of the south-west monsoon has a large impact on rain fed agriculture. In general most of the breaks occur with duration of about 3–5 days(Rajeevan et al.,2010).
  • 19. Monsoon trough • The monsoon trough is a portion depicted by a line on a weather map showing the locations of minimum sea level pressure. • If the monsoon trough is extended along the foot hills of Himalaya it is called an “Active monsoon” condition. • When the monsoon trough crosses the Himalayan ranges their will reduction in the amount of Indian Summer Monsoon Rainfall and this environmental condition is called the “Break monsoon” condition.
  • 20. Fig 6: Active and Break phases influenced by monsoon trough Weatherview.in
  • 21. Quasi Biennial Oscillation • The quasi-biennial oscillation (QBO) is a quasi-periodic oscillation of the equatorial zonal wind between easterlies and westerlies in the tropical stratosphere with a mean period of 28 to 29 months(Baldwin et al., 2001). • The alternating wind regimes develop at the top of the lower stratosphere and propagate downwards at about 1 km (0.6 mi) per month until they are dissipated at the tropical tropopause. • Downward motion of the easterlies is usually more irregular than that of the westerlies. The amplitude of the easterly phase is about twice as strong as that of the westerly phase. • And the another important oscillation type is the quasi-biweekly oscillation (QBW). This oscillation is having a periodicity of 12–20-days. It is one of the major systems that affect the seasonal mean climate of the tropical and subtropical countries. • Hence the Indian summer monsoon is also getting affected by these oscillation pattern and results in reduction in the seasonal and annual rainfall over Indian sub continent.
  • 22. Fig 7: QBO Smith et al., 2012
  • 24. Fig 8. Regional mean intraseasonal precipitation (mm day-1 ; black solid curves) and intraseasonal SST anomalies (0C; blue solid curves) in (a) WCI and (b) NBB. The time mean of precipitation (black dotted lines) and one std dev above the mean (black solid lines) are superimposed. The beginning of each heavy precipitation event is marked with a red dot. Jingyuan et al., 2015 China
  • 25. Fig 9: (a) Thick black solid curve: 30-yr mean TT index (from 1982 to 2011) from March to December. Thin dash curves: mean TT index plus and minus one std dev. Gray curve: std dev of TT index. The gray curve is 5 times larger than the actual std dev of the TT index for clarity. On each day, the mean and std dev are calculated with the data on that day from 1982 to 2011. (b) Std devs of intraseasonal OLR and intraseasonal precipitation, which are averaged within the northern region for calculating the TT index. Lei and Raghu, 2013 China & Maryland
  • 26. Fig 11: All-India daily rainfall anomalies (bars), 30-60 days (red curve) and 10-20 days (blue curve) filtered anomalies for 1 June to 30 September for the period 1901-2005. The scale for daily rainfall anomalies is left Y axis while that of daily filtered anomalies is right Y axis. Figures in the bracket indicate AIMR for corresponding year IITM, Pune Ashwini et.al. 2006
  • 27. Fig 12: Composite mean of daily rainfall departure from normal (in %) for (a) 10 excess monsoon years and (b) 10 deficient monsoon years for data period 1951 – 2003. IITM, Pune Kakade et.al, 2008
  • 28. Fig 13: Daily TRMM precipitation averaged over (a) the EAS and (b) the BoB. Gray shadings denote the ISM season of 15 May–15 October. The red lines with circles denotes the ISM-mean precipitation for each year. Yuonlong et al., 2016 USA & India
  • 29. Fig 14: Maps showing 20–90-day TRMM precipitation (mm day-1 ) for the (c) developing stage (15 May–30 June), (d) mature stage (1 July–31 August), and (e) decaying stage (1 September–15 October) of the ISM. Yuonlong et al., 2016 USA & India
  • 30. Fig 15: TMI and CFSR products of 1998–2010. The black rectangles define the areas of the EAS (108–208N, 658–758E) and the BoB (108–208N, 858– 958E). Wang et al., 2016 Maryland & India
  • 31. Impact of MJO on Indian Summer monsoon
  • 32. Fig. 16: Frequency of MJO phases 1 to 8 (≥6 days) during onset period for the data period 1979– 2015. Bhatla et al., 2016 BHU, Varanasi
  • 33. Fig 17: Day-to-day variation of MJO amplitude/mean amplitude for the a pre-onset, b normal-onset, and c post-onset years during the period1979–2015 Bhatla et al., 2016, BHU Varanasi
  • 34. Fig 18: 800, 400 &200(hpa) pressure variations for the years 2013 & 2014. 2013 2014 Hussain et.al., 2015, Hyderabad
  • 35. Active and Break Spells of Monsoon
  • 36. Fig 19: Composites of OLR anomalies (Wm−2) during (a) break and (b) active spells. Period of analysis: 1979–2007 Rajeevan et al., 2010, India
  • 37. Fig 20: Time series of (a) active days and (b) break days during July and August. Period: 1951–2007 Gadgil et al., 2010, India
  • 38. Conclusion • The intra-seasonal variability makes up an extremely important part of the character and evolution of Indian summer monsoon . Its most pronounced influence is associated with its direct connection to active and break phases of monsoon. • Fluctuating monsoons due to ISVs influence on Cropping Pattern and Evapotranspiration. • MJO has the dominant role on intraseasonal variability in the tropical atmosphere and also with onset of the Indian summer monsoon.
  • 39. Future Line Of Work • Further understanding of the relation between the ISVs and ISM will be helpful for the study of the interannual variability of ISM and the prediction skill on the ISM. • More attention and effort should be paid to understand oceanic processes in the tropical Indian Ocean and incorporate the knowledge into the monsoon prediction. • Studies on ISVs of Monsoon in relation with Agriculture should be strengthened.

Editor's Notes

  1. The Thermal Theory of Monsoons In 1686 Edmond Halley published his treatise on the Indian summer monsoon, which he attributed to a seasonal reversal of winds due to the differential heating of the Asian land mass and the Indian Ocean.  He stated that the monsoons are happening with the differential heating of land and ocean with respect to the suns movement from the tropic of Cancer to tropic of Capricorn. He also defined the Monsoon as a large scale sea-breeze land-breeze system which has duration of about 3 to 4 months. Later it is proven scientifically that the low pressure created over the Tibetan plateau act as a heat source and the high pressure over the Indian Ocean act as a sink. And hence the wind blows from the high pressure to low pressure and brings moisture to land for rainfall. And after 3 to 4 months the entire system is reversed.
  2. When the sun leaves the tropic of Capricorn and moves to the tropic of Cancer, the Asian land mass (Tibetan plateau and central Asia) gets heated up while the southern Indian Ocean remains relatively cool. The low pressure over Tibetan plateau produces intense convection over there and the air will come from the nearby high pressure are to fill the vacuum
  3. National repository of open educational resources
  4. Rather than a standing pattern like El-Niño it is a moving pattern The MJO is an eastward propagating convection/cloud band which produces tremendous amount of rainfall over the tropical region. The MJO is characterised by the eastward progression of regions of enhanced and suppressed tropical rainfall observed mainly over the Indian Ocean and Pacific Ocean. The anomalous rainfall is usually first evident over the western Indian Ocean and the rainfall increasing as it progress east ward at between 4 m/s and 8 m/s over the warm waters of west and central Pacific Ocean.
  5. The active phase of the MJO tracked by the degree of outgoing long wave radiation, which is measured by infrared-sensing geostationary weather satellites. The lower the amount of outgoing long wave radiation, the stronger the thunderstorm complexes, or convection, is within that region. The MJO influence the thermodynamic conditions of the atmosphere during the south-west monsoon season and in turn regulates the active and break conditions during the monsoon seasons.
  6. The fluctuation of rainfall over the monsoon trough zone during peak monsoon months of July and August is divided between two spells: during the height of rains and intervals of drought. In the peak monsoon months of July-August, the monsoon trough zone is interrupted for a consecutive days of Intervals of droughts, is called breaks of monsoon.( Rajeevan et al.,2010).
  7. As the southwest monsoon current advances towards the land it splits into two distinct branches namely the Arabian Sea Branch and the Bay of Bengal Branch. The Bay of Bengal branch reaches deltaic Bengal and Meghalaya as a Southerly current and turns round to become south-easterlies under the combined effect of the monsoon trough and channelling westward by the Himalayas. The south-westerly Arabian Sea branch and the deflected south-easterly Bay of Bengal branch meet at the axis of the monsoon trough in the Indo-Gangetic plains. At this time the axis of monsoon trough will be merging with the ITCZ. As the sun reaches tropic of Cancer on 22nd of June the ITCZ would be extending from foot hills of Himalaya to Balochistan (Pakistan). And later the ITCZ or the monsoon trough gets fully established and it further extends to the head of Bay of Bengal across the Indo-Gangetic plains.
  8. The QBO is a wave-driven reversal of tropical strato- spheric winds between easterly and westerly with a mean period of about 28 months (Veryard and Ebdon 1961, Reed et al 1961,seeBaldwinet al 2001 for a review). The QBO influences the stratospheric polar vortex and hence the winter NAO and Atlantic–European climate—especially in winte
  9. heavy precipitation events are defined as the days when the regional mean intraseasonal precipitation exceeds one standard deviation. Besides, if two events are separated by less than 10 days, they are considered as one event. With such a definition, 37 heavy precipitation events in WCI and 45 events in NBB are selected from 1998 to 2009. The beginning dates of each event are marked with red dots. The number of heavy precipitation events surely depends on the chosen criterion. If the threshold is raised to 2 times the standard deviation of the intraseasonal precipitation, the number of events reduces to 22 in WCI and to 25 in NBB. However, the following composite results do not change significantly with the change of event numbers; thus, results with other criteria are not explicitly shown below. The intraseasonal SST anomalies (blue curves) can reach 0.88C in WCI, and they can exceed 1.08C in NBB. Besides, the positive SST anomalies usually occur before the individual heavy precipitation events. The lag correlations have a maximum of 0.35 (0.3) when SST leads rainfall by about 3 (6) days in WCI (NBB). The composite heavy precipitation in each region is made with all heavy precipitation events defined above. The properties on the onset date (day 0) of the composite event in WCI (NBB) are obtained with the mean properties at the beginning dates of the 37 (45) heavy precipitation events. Results show that the intraseasonal SST variabilities play a critical and active role prior to large rainfall events. From the western coast of the Indian peninsula to the BoB, warm SST anomalies induce a cyclone in the lower troposphere and lead the heavy precipitation by ;3–6 days. As a result, deep convection occurs and pumps the water vapor from the atmospheric boundary layer to the mid- and upper troposphere. Besides, the center of the cyclone keeps moving northward along with the northward propagation of warm SST anomalies and surface heat flux.
  10. The minimum std devs in both the intraseasonal OLR and precipitation are consistent with the small std devs of the TT index, which support the fact that the ISVs during this period are mild. The ISVs have alternating active and calm phases. In the active phase, northward-propagating ISVs carry a lot of water vapor and release the latent heat in the subtropics. As a result, the temperature in the subtropics increases and the temperature gradient between the tropics and the subtropics (captured by the TT index) is reduced. This process is helpful for turning the TT index from negative to positive and, equivalently, is favorable for driving the ISM onset. Therefore, strong ISVs are likely to make the monsoon onset earlier than it would be if it was only controlled by the background state. In contrast, the calm phase of ISVs can hardly transport water vapor northward, and they cannot contribute significantly to the onset of ISM. Therefore, the ISM onset date would be close to being only controlled by the background state. Hence, the early onset year is defined as the year with an onset date significantly earlier than it would be without the influence of ISVs. To reemphasize the definition, it is not simply with respect to the mean onset date but is contrasted to the onset dates of years without strong ISVs
  11. the fast moving 3-7 and 10- 20 days modes are enhanced in very good monsoon or flood years while 30-60 days mode is enhanced in drought years in more than 90% of the cases. The active monsoon spells are strengthened when the positive phases of both the oscillations occur simultaneously i.e. when they are in phase while when monsoon activity is suppressed when they are out of phase. In more than 70% of the flood years the variance retained in 10-20 or 3-7 days mode is significantly more than that retained in 30-60 days mode (Kripalani et al, 2004). While in 40% of the droughts the 30-60 days mode is dominant. The significance has been tested by applying F test. Also it is clearly seen that in drought years 30-60 days oscillations are more organized. It is seen that the AIDR increases sharply from the end of June, attains maximum in the month of July till mid August and then gradually starts decreasing. The withdrawal of monsoon is rather gradual and systematic as compared to increase at the start of season. The maximum average AIDR is of the magnitude of 12 mm(mid July). The variability as a percentage of mean is maximum in June (70%), then it decreases , minimum in the end of July (32%), again starts increasing, attains maximum at the end of season, of the order of 65%. In the active months of monsoon, July and August, the variability is very less , less than 40%
  12. The study indicates that during drought years there is a persistence of extreme negative daily rainfall departure values in June, July and September whereas during flood years there is a persistence of extreme positive rainfall departure values in first few days of July and all days in September. Thus, persistence of extreme negative daily rainfall departure values in June and July may gives rise to the seasonal drought. + rainfall= mean+sd -ve rainfall= mean-sd The excess seasonal mean rainfall for a particular year is possible if there is a persistence of daily excess rainfall activity for at least 8 – 10 days in July and August each and almost all days in September. However, the deficient seasonal mean rainfall for a particular year is possible if there is a persistence of daily deficient rainfall activity for at least 15 – 20 days in each month of the monsoon season. Thus, the deficient monsoon year can be inferred by observing persistent daily deficient rainfall activity in June and July
  13. Daily precipitation time series averaged over the EAS and BoB boxes exhibit pronounced intraseasonal variability during the ISM season (Fig. 3). A close inspection reveals a striking difference between the two regions. In the EAS, precipitation tends to have stronger fluctuations at the beginning of the ISM season (Fig. 3a), showing more strong convection events in May and June. This feature is identifiable in almost every year, particularly in 1999, 2001, 2002, 2003, 2005, 2006, 2007, 2008, 2010, and 2013. This feature, however, is absent in the BoB, although the total ISM rainfall is larger than that of the EAS (Fig. 3b). For convenience, hereafter we divide the ISM period into three stages: the developing stage of 15 May–31 June, the mature stage of 1 July–31 August, and the decaying stage of 1 September–15 October.
  14. . Figures 3c–e compare the STD maps of 20–90-day precipitation of the three stages. Along the west coast of India the precipitation variability is even slightly stronger in the mature stage than in the developing stage, but in the interior Arabian Sea basin precipitation variability is much stronger in the developing stage. Such spatial pattern implies that ocean processes may play a role in the enhanced MISO intensity in the developing stage of the ISM, which requires in-depth investigation MISOs in the EAS also exhibit clear intensity variation among the three stages of the ISM. They are strongest in the developing stage (15 May–30 June), followed by the decaying stage (1 September–15 October), and weakest in the mature stage (1 July–31 August). The Arabian Sea has a shallow MLD (,40 m) and a high SST (.298C) in the ISM developing stage, which is a plausible cause for the intensification of the MISOs.
  15. Similar to precipitation, SST also shows prominent intraseasonal variability in the BoB and Arabian Sea (Fig. 2c). The strongest SST signals, however, appear along the Somalia–Oman coast in the western Arabian Sea, with a STD exceeding 0.68C. These SST variations arise primarily from ocean internal instabilities of the western boundary currents and are generally not related to the MISOs (Jochum and Murtugudde 2005; Duncan and Han 2009; Vialard et al. 2012). Instead, SST variations in the EAS and BoB, with an STD of 0.38–0.58C, are primarily induced by MISOs and possibly involved in the MISO dynamics
  16. The MJO phase-space diagram is divided into eight equal sectors representing eight phases of MJO evolution. Each of these phases represents approximate location of the MJO’s convective envelope around the global tropics. MJO evolve in the Indian Ocean and propagate to Western Pacific through maritime continents. During MJO phases 1 and 2, formation of MJO associated with positive convective anomaly over the equatorial Indian Ocean. When the amplitude is greater than or equal to 1, these eight phases are categorized as strong^ MJO phases. When the amplitude is less than 1, irrespective of the phases of MJO, the MJO is categorized as weak.^ The MJO phase 3 is the most frequent MJO phase (with 25-day life cycle) associated with onset of monsoon in the year 1984. The MJO phase 6 and phase 8 are the frequent MJO phases (with 21-day life cycle) associated with onset of monsoon in the year 1983.
  17. Analysis of the mean MJO amplitude and daily range of MJO amplitude suggests that the variation of MJO amplitude is highest during post-onset years although day-to-day variability is least during post-onset years. The day-to-day variability of MJO amplitude is highest during normal-onset years. One conclusion that can be drawn here is that there is increase in MJO strength during normal MOK, and there is decline in MJO strength during post-MOK
  18. The 800hpa pressure lies between an altitudes of 1900-2100m. Initially, this pressure is at an altitude of 1995m then rises up to an altitude of 2045m, this means that the area under curve i.e. 0-20 weeks have low pressure Compared to remaining weeks of the year. Similarly, 20- 40 and 40-52 weeks have high and low pressure respectively for both the years as shown in the fig.1&2. The frequency of the oscillation for 800hpa pressure is found to be two per annum. The 400hpa pressure is observed between altitudes of 7500 – 7600m. In the first week of the year, 400hpa pressure is found at an altitude of 7570m and fells down to an altitude of 7540m which indicates low pressure during the first ten weeks of the year. Again it jumps to an altitude of 7600m which results high pressure from 10 -25 weeks relative to other weeks of the year as illustrated in the fig.3&4. Later on low and high pressure is observed for the next 25-35 and 35-52 weeks respectively. The frequency of the oscillation for 400hpa pressure is found to be two per annum. III. 200hpa pressure lies between an altitudes of 12300- 12500m. The altitude of the clouds12 is maximum at this level of pressure. Above this level clouds are not formed. From the fig.5&6 it is observed that there is not much variation of the pressure takes place throughout the year. The pressure is high for the first 20 weeks of the year and low for the remaining weeks relative to each other. The frequency of the oscillation for 200hpa pressure is found to be one per annum MJO 5-6 OSCIllation , Hence, MJO activity is not found over the atmosphere of a low latitude station Hyderabad.
  19. The active and break composites of the OLR anomaly patterns are shown in figure 9. The break composite is characterized by large positive OLR anomalies over the core monsoon zone and the equatorial west Pacific and central Pacific and large negative OLR anomalies over the eastern equatorial Indian Ocean and northern west Pacific (120–130◦E, 20–30◦N). Thus, over 70–130◦E, the quadrapole pattern described by Annamalai and Slingo (2001) is seen. The active composite has large negative OLR anomalies over the core monsoon zone and over the equatorial central and west Pacific. Positive anomalies are seen over the eastern equatorial Indian Ocean. Over the equatorial east Indian Ocean, largest anomaly difference in OLR anomalies between the active and break events was noted. This is a critical area, which is physically linked to the active and break cycle of the Indian monsoon as discussed in the next section.
  20. The variation of the number of active and break days during the summer monsoon for the period 1951–2007 is shown in figure 6(a) and (b), respectively. During the period 1951–2007, the maximum number of break days occurred in 2002 (25 days in July) while the maximum number of active days (22 days) occurred in 2006. The longest break spell (16 days) occurred in 1979 from 14–29 August. During 2002, two separate break spells occurred, from 4–17 July and then from 21–31 July. Joseph and Simon (2005) have reported that the number of break days (defined as those with mean zonal wind at 850 hPa from the NCEP/NCAR reanalysis in the box 10–20◦N, 70–80◦E, equal to or less than 9/11 m s−1 during June–September), increased by 20–30% during the period 1950–2002. However, we find no statistically significant trends during 1951–2007, either in the number of break or active days during the monsoon season (June to September) each year identified by using the rainfall criterion for active and break spells used in this study. It is possible that the trend they observed in the number of break days based on wind could have arisen from combining the data from pre-satellite era to the recents period