<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">ACS</journal-id><journal-title-group><journal-title>Atmospheric and Climate Sciences</journal-title></journal-title-group><issn pub-type="epub">2160-0414</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/acs.2021.114047</article-id><article-id pub-id-type="publisher-id">ACS-112911</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Assessment of the Impacts of Tropical Cyclones Idai to the Western Coastal Area and Hinterlands of the South Western Indian Ocean
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kombo</surname><given-names>Hamad Kai</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sarah</surname><given-names>E. Osima</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mtongori</surname><given-names>Habiba Ismail</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pacal</surname><given-names>Waniha</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hamad</surname><given-names>Asya Omar</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Tanzania Meteorological Authority (TMA), Kisauni, Zanzibar</addr-line></aff><aff id="aff2"><addr-line>Tanzania Meteorological Authority (TMA), Dar es Salaam, Tanzania</addr-line></aff><pub-date pub-type="epub"><day>26</day><month>08</month><year>2021</year></pub-date><volume>11</volume><issue>04</issue><fpage>812</fpage><lpage>840</lpage><history><date date-type="received"><day>19,</day>	<month>July</month>	<year>2021</year></date><date date-type="rev-recd"><day>26,</day>	<month>October</month>	<year>2021</year>	</date><date date-type="accepted"><day>29,</day>	<month>October</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Tropical Cyclones (TCs) are among the atmospheric events which may trigger/enhance the occurrence of disasters to the society in most world basins including 
  the 
  Southwestern Indian Ocean (SWIO). This study analyzed the dynamics and the impacts of the Tropical Cyclone (TC) Idai (4<sup>th</sup>-21<sup>st</sup> March, 2019) which devastated most of the SWIO countries. The study used the Reanalysis 1 products of daily zonal (u) and meridional (v) winds, Sea Surface Temperatures (SSTs), amount of Precipitable Water (PRW), 
  and relative humidity
   (Rh). The dynamics and movements of Idai w
  ere
   analyzed using the wind circulation at 850, 700, 500 and 200 mb, where the TC dynamic variables like vertical wind shear, vorticity, and the mean zonal wind were calculated using u and v components. Using the open Grid Analysis and Display System (GrADS) software the data was processed into three
  -
  time epochs of pre, during and post; and then analyzed to feature the state of the atmosphere before (pre), during and post TC Idai using all datasets. 
  The 
  amount of precipitable water was used to map the rainfall on pre, during, and post Idai as well as during its landfall. The results revealed that dynamics of TC Idai was intensifying the weather (over Mozambique) and clearing the weather equatorward or southward of 12&#176;S, with low vertical wind shear over the landfall areas (-3 to 3 m/s) and higher shear values (10 - 40 m/s) northward and southward of the Mozambican channel. Higher moisture content (80 - 90%) and higher PRW (40 - 60 mm/day) mapped during Idai over the lowland areas of Mozambique propagating westward. Higher low
  -
  level vorticity values were also mapped over the landfall areas. More results revealed that countries laying equatorward of 12&#176;S
  ,
   e.g.
  ,
   the northern coastal areas of Kenya (Turkana and Baringo) and Tanzania, Idai disrupted the 2019 March to May (MAM) seasonal rainfall by inducing long dry spell which accelerated the famine over the northeastern Kenya (Turkana). Moreover, results revealed that the land falling of Idai triggered intensive flooding which affected 
  a 
  wide spectrum of socio
  -
  economic livelihoods including significant loss of lives, injuries, loss of material wealth, infrastructure; indeed, people were forced to le
  ave
   their houses for quite 
  a 
  longtime; water
  -
  born
  e
   diseases like malaria, cholera among others were experienced. Furthermore, results and reports revealed that 
  a 
  large amount of funds were raised to combat the impacts of Idai. For instance, USAID/OFDA used about $14,146,651 for human aid and treatment of flood
  -
  prone diseases like Cholera in Mozambique ($13,296,651), Zimbabwe ($100,000), and Malawi ($280,000), respectively. Also a death toll of about 602 in Mozambique and 344 in Zimbabwe, and more than 2500 cases of injured people were reported
  .
   Conclusively the study has shown that TCs including Idai and other are among the deadliest natural phenomenon which great affects the human and his environments, thus extensive studies on TCs frequency, strength, tracks as well 
  as 
  their coast benefit analysis should be conducted to reduce the societal impacts of these TCs.
 
</p></abstract><kwd-group><kwd>Tropical Cyclones</kwd><kwd> Zonal and Meridional Winds</kwd><kwd> Precipitable Water</kwd><kwd> Vertical Wind Shear</kwd><kwd> Low-Level Vorticity</kwd><kwd> Water-Borne Diseases</kwd><kwd> Deaths and Injuries</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Normally TCs helps to moderate climate by transferring energy from warm equatorial regions to cooler higher latitudes, the combined effects of their extreme wind, precipitation, and storm surge threaten the lives of millions of people who live near the coast [<xref ref-type="bibr" rid="scirp.112911-ref1">1</xref>]. Among the examples of these cyclones which threatened the lives of peoples is the long-lived TC Idai (4<sup>th</sup>-16<sup>st</sup> March, 2019) which was formed on Mozambican Channel (MC), and which strengthened into moderate Tropical Storm (TS) on 9<sup>th</sup> March, 2019, and on next days it attained a rapid intensification, to intense TC, with sustained winds of 175 km/h and a central pressure of 940 mb on 11<sup>th</sup> March, 2019. Idai made multiple landfalls over the southwestern MC specifically over the low lands of Mozambique (including Beira) <xref ref-type="fig" rid="fig1">Figure 1</xref>, and then devastated the western coast of most areas of the SWIO countries by causing extensive flooding and a massive loss of life, facilities, and infrastructures [<xref ref-type="bibr" rid="scirp.112911-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref3">3</xref>]. Besides, the SWIO TCs climatological records show that several TCs including Eline (2000), Dera (2001), Bondo (2006), Favio (2007) and Fantala (2014) have devastated Mozambique and Madagascar [<xref ref-type="bibr" rid="scirp.112911-ref4">4</xref>] - [<xref ref-type="bibr" rid="scirp.112911-ref10">10</xref>] and in total 50% of the TCs formed in the MC make landfall [<xref ref-type="bibr" rid="scirp.112911-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref12">12</xref>]. TC Idai was reported to be the deadliest cyclone for the 2019/2020 TC season and was mentioned to be the worst disaster ever happened in the southern hemisphere [<xref ref-type="bibr" rid="scirp.112911-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref14">14</xref>]. Idai persisted at the Mozambican channel for six days (as an</p><p>intense cyclone) and made landfall near Beira City, Sofala Province, in central Mozambique [<xref ref-type="bibr" rid="scirp.112911-ref15">15</xref>] and then tracked westerly until it dissipates (<xref ref-type="fig" rid="fig1">Figure 1</xref>(a)). Distribution of the impacts shows that Mozambique, Malawi and Zimbabwe were highly affected by enhanced torrential rains and flooding, whereby a death toll of about 602 in Mozambique and 344 in Zimbabwe was registered [<xref ref-type="bibr" rid="scirp.112911-ref16">16</xref>], and more than 1.5 million people were affected, among which 2500 people were injured; and a significant number of people were lost. Also, the flooding and strong wind due to Idai left several people homeless where about 239,700 houses in Mozambique were affected, and infrastructure (roads, bridges among others) was severely demolished, to an extent that the international community remarked this event as a massive disaster in Mozambique and Zimbabwe. This catastrophic event costs the international community (USAID/OFDA) about $14,146,651 for human aid and treatment of flood-prone diseases like Cholera in Mozambique ($13,296,651) Zimbabwe ($100,000) and Malawi ($280,000), respectively [<xref ref-type="bibr" rid="scirp.112911-ref16">16</xref>]. Extensive impact analysis has been documented in Zimbabwe and Mozambique, but either little or none has been documented on the northern coastal areas of Tanzania and Kenya. Thus, this study aimed at assessing dynamics associated with TC Idai and its social impacts to the western coastal area of the SWIO countries (Tanzania and Kenya in particular), by using the observations, remotely sensed and analysis products of zonal and meridional winds and model assimilations. Indeed, this study and others will deeply help the policy and decision makers’ coastal managers, disaster and risk management departments in the western side of the SWIO to develop good emergency responses programs, resilience and adapting strategies towards reducing the impacts of tropical cyclones in the region and their respective management areas.</p></sec><sec id="s2"><title>2. Data and Methods</title><p>Based on the fact that TCs are synoptic large scale phenomenon which affects large area, and since TC Idai started as a tropical disturbance extended to the extra tropical or mid latitude regions, this study covers a region bounded by 5˚ - 40˚S and 28˚ - 80˚E. This area was selected to cover all areas where TC Idai resulted into significant impact. As for datasets, the study used the daily mean Reanalysis 1 data to examine dynamics of TC Idai which brought the devastating impacts. These datasets includes the daily zonal (u) and meridional (v) winds at 850, 700, 500, and 200 mb, respectively. The u, v winds data has a spatial resolution of 2.5˚ &#215; 2.5˚ and a temporal resolution of 1974 to date [<xref ref-type="bibr" rid="scirp.112911-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref18">18</xref>]. The multi level relative humidity and surface specific humidity datasets with spatial resolutions of 2.5˚ &#215; 2.5˚ and temporal resolution which covers the two months of March and April, 2019 [<xref ref-type="bibr" rid="scirp.112911-ref17">17</xref>] was also used. Other datasets include the amount of precipitable water (here after PRW). Moreover, the daily mean extended reconstructed sea surface temperature anomaly (SST<sub>A</sub>) with spatial resolution of 0.25˚ &#215; 0.25˚ and a temporal resolution of two months and the total cloud cover was also used. It should be noted that TC Idai lived for about 17 - 18 days, hence, this study used the 25<sup>th</sup> February to 31<sup>st</sup> March, 2019 datasets to analyse the Idai dynamics . The u and v wind vectors at 850 and 200 mb were used to derive the environmental vertical wind shear (200 - 850 mb) the parameter which explained why the Idai tracked southwestward instead of northwestward, while u and v winds at 500 and 700 mb were used to derive the zonal mean steering winds (m/s) and vectors. Besides, the vertical vorticity of the Idai was also calculated to see how Idai was decaying or strengthening with time. The study used three time epochs of pre, during and posts Idai to analyze its genesis development and decay. The comparisons between the produced maps indicating the moisture content at 850 - 700 mb, PRW and the amount of rainfall were then compared for the pre, during and post time epochs. For clear understanding of the development and decay of TCs/TSs with time and it is inversely related to vertical uplifting of moisture during the TC/TS development and decay phase, the environmental vertical wind shear between 200 and 850 mb (hereafter EVWS<sub>852</sub>) was calculated. The studies including [<xref ref-type="bibr" rid="scirp.112911-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref20">20</xref>] has shown that the lower the EVWS<sub>852</sub> the more intense the TCs become. Thus, the EVWS<sub>852</sub> between the three time epochs was calculated using the [<xref ref-type="bibr" rid="scirp.112911-ref21">21</xref>] and [<xref ref-type="bibr" rid="scirp.112911-ref22">22</xref>] relation given by:</p><p>EVWS 852 = ( U 200 − U 850 ) ∗ ( U 200 − U 850 ) + ( V 200 − V 850 ) ∗ ( V 200 − V 850 ) (1)</p><p>where U<sub>200</sub>, U<sub>850</sub>, V<sub>200</sub> and V<sub>850</sub> are the zonal and meridional wind at 200 and 850 mb, respectively. Indeed, the zonal mean steering winds between 700 to 500 mb for the three time epochs (hereafter U<sub>75</sub>) was calculated by averaging at each grid point zonal (u) winds at each level as given by Equation (2):</p><p>U 75 = ( U 700 + U 500 ) / 2 (2)</p><p>where U<sub>700</sub> and U<sub>500</sub> are the zonal winds at 700 and 500 mb, respectively. The U<sub>75</sub> component was calculated to seen whether the extent to which mean steering levels behaves for the three selected time epochs of Idai. The sign convention for mean zonal winds in equation 2 indicate that, positive sign (+) are westerly (from west to east) and negative sign (−) indicate the easterlies (from east to west). Lastly the low level cyclonic vorticity at 850 mb (LLRV<sub>850</sub>) for the mentioned three time epochs was computed using a centered finite-difference scheme which is clearly explained by [<xref ref-type="bibr" rid="scirp.112911-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref24">24</xref>].</p><p>As for a simple and clear understanding of the algorithm used in this paper, <xref ref-type="fig" rid="fig2">Figure 2</xref> provides a concise sketch which clearly explains the methodological approach used.</p></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. The Wind Vector Circulations</title><p>The results of the wind vector circulations at pressure levels of 850, mean (700 - 500) and 200 mb for the three epochs of pre, during, and post TC Idai presented in <xref ref-type="fig" rid="fig3">Figure 3</xref>(a) reveals that the mean pre Idai wind circulation was dominated by weak depression over the northeastern Madagascar which induced strong easterly over the northern tip of Madagascar with reduced strength as they approach</p><p>the northern MC and northern coastal areas of Mozambique. The East African (EA) coast (e.g. coastal Tanzania and Kenya) was under the influence of weak south easterlies which resulted into linear convergence over this coast, while strong easterly to south easterly was experienced over the entire coastal and hinterlands of Kenya, the phenomenon which tried to decline the weather over Kenya and southern Somali. Also during Idai especially on landfall days (9-13<sup>th</sup> March, 2019) the 850 mb wind circulation <xref ref-type="fig" rid="fig3">Figure 3</xref>(b) attained a strong circulation over the cyclone center (Southern MC) with strong north easterlies from Somali coast and great horn of Africa rushing to the cyclone, whereas the hinterlands and coast areas of Kenya and Tanzania was characterized by strong north easterlies which were rushing to the cyclone area, and hence affect the countries laying equator ward of 12˚S e.g. the northern coastal areas of Kenya (Turkana and Baringo) and Tanzania. This wind circulation shows that TC Idai disrupted the MAM 2019 seasonal rainfall by inducing long dry spell which accelerated the famine over the north eastern Kenya (Turkana) as well as severely disorganize the MAM 2019 early onset seasonal rainfall by sucking the moisture towards the deep pressure of TC Idai.</p><p>The Idai cyclonic circulation was enhanced by anticyclone circulation (high pressure) located at 35˚S and 35˚ - 40˚E resulting into its long staying at MC. On the other hand, the 850 mb wind circulations during Idai over the southwestern to western area of Tanzania and its neighboring countries (Rwanada Burundi and Congo) was linearly converging with very light winds. As for the post Idai condition, the 850 mb wind circulation <xref ref-type="fig" rid="fig3">Figure 3</xref>(c) revealed that on 17<sup>th</sup> March, 2019 another TS Savannah crossed over SWIO basin, and shortly reach its peak intensity as intense TC, whereas on 19<sup>th</sup> March, 2019 TC Savannah transitioned into a post-tropical cyclone, with southwestward tracking and steered eastward on 20<sup>th</sup> March, 2019, before turning westward on 21<sup>st</sup> March, 2019. The existing</p><p>of this short lived TC resumed the weather patterns over most coastal and hinterland areas EA (Kenya and Tanzania being examples) by inducing the weak and linearly convergent easterly from the Indian ocean to the coastal areas.</p><p>As for the pre, during and post Idai conditions for 500 mb wind circulations, results revealed that 5 days average wind circulation before Idai <xref ref-type="fig" rid="fig3">Figure 3</xref>(d) had light easterlies at western coastal areas of SWIO (Kenya, Tanzania and Mozambique) with light clockwise circulation at the Mozambican channel and southeastern Madagascar. The condition which supports what was happening at 850 mb. Similar results hold for the 500 mb wind circulation during Idai <xref ref-type="fig" rid="fig3">Figure 3</xref>(e). As for the post Idai, the average 500 mb wind circulation was having nearly the same orientation as in <xref ref-type="fig" rid="fig3">Figure 3</xref>(d) and <xref ref-type="fig" rid="fig3">Figure 3</xref>(e) but with higher wind strength. Similar results holds for 200 mb wind circulation presented in <xref ref-type="fig" rid="fig3">Figure 3</xref>(g)-(i), where on pre Idai the wind circulation at 200 mb was having weak easterly orientation at the coastal area of Tanzania and Kenya and north easterly at the MC (cyclone area) and strong north westerly flow at southern parts of Madagascar (40˚S), as for the wind circulations during Idai <xref ref-type="fig" rid="fig3">Figure 3</xref>(h) revealed strong easterly at the EA coast and weak circulation at the center of TC Idai, where as the cyclonic circulation at the southern Madagascar has progressed forward and its area was covered by anti cyclonic circulation of Idai. While for the post Idai, the 200 mb wind circulation <xref ref-type="fig" rid="fig3">Figure 3</xref>(i) has quite different wind orientation from that of pre and during Idai conditions, where the wind at this epoch was strong at the cyclone areas, and weaker northeasterly at coastal Tanzania and Kenya. Moreover, <xref ref-type="fig" rid="fig3">Figure 3</xref>(i) mapped the weak anticyclone circulation indicating the formation of new TC Savannah (which either had no, or very little impact to the SWIO countries) at the northeast Madagascar after TC Idai. In general <xref ref-type="fig" rid="fig3">Figure 3</xref> revealed the situation of the upper level wind circulations pertained on pre, during and post Idai conditions.</p></sec><sec id="s3_2"><title>3.2. The Mean Sea Level Pressure</title><p>The results of the analysis of the Mean Sea level Pressure (MSLP) condition for the three epochs presented in <xref ref-type="fig" rid="fig4">Figure 4</xref> revealed that prior to the onset of TC Idai <xref ref-type="fig" rid="fig4">Figure 4</xref>(a), the EA coastal areas and Mozambique were under the influence of 1012 mb low pressure trough with center of 1010 mb at the border between Mozambique and Tanzania (i.e. at Mtwara), also another 1010 mb contour located at north eastern Madagascar was progressing towards the EA coastal waters, while the high pressure ridge located at southeastern Madagascar was progressing westward. These low and high pressure cells progressions was indicating that any further increase in atmospheric instability may deepen the pressure, and hence trigger the formation of TC. During the occurrence of Idai (<xref ref-type="fig" rid="fig4">Figure 4</xref>(b)) the tropical EA countries bounded by 5˚ - 20˚S was under the influence of low pressure systems with distributed cells of low pressure centers at Zimbabwe and Malawi as well as at the MC where the eye of Idai was existing. Also the high pressure cell which was located at southeastern Mozambican channel was shifted further southeastward. As for the post Idai the results presented in <xref ref-type="fig" rid="fig4">Figure 4</xref>(c) show that new TC Savannah was initiated with center of 1010 mb at NE Madagascar, while inducing low pressure trough to most coastal and hinterland areas of EA. Further results in <xref ref-type="fig" rid="fig4">Figure 4</xref>(c) reveals nearly the same condition like <xref ref-type="fig" rid="fig4">Figure 4</xref>(a) for the EA coastal and hinterland areas. Though the EA countries were under the influence of low pressure system, but the orientation of Idai’s wind circulation was declining the rainfall over these areas based on the fact that TC sucking effect redirects the moist winds towards the cyclonic circulation of the TC Idai, thus leaving the mentioned areas very dry.</p></sec><sec id="s3_3"><title>3.3. The Sea Surface Temperature Anomaly (SST<sub>A</sub>)</title><p>The results of the analysis of the mean SST<sub>A</sub> for the three epochs of pre, during and post Idai presented in <xref ref-type="fig" rid="fig5">Figure 5</xref> shows that before the onset of the TC Idai (i.e., pre Idai) <xref ref-type="fig" rid="fig5">Figure 5</xref>(a), the mean SST<sub>A</sub> over the EA coastal waters was higher ranging from 0˚C - 3˚C while at the border between Tanzania and Mozambique, and at central MC the areas which were experiencing low pressure (<xref ref-type="fig" rid="fig4">Figure 4</xref>(a))</p><p>the mean SST<sub>A</sub> was slight lower ranged from 0˚C to −1˚C, and at southern MC and eastern side of Madagascar the mean SST anomaly ranged from 0˚C to 3˚C except at the northern tip of Madagascar where the mean SST<sub>A</sub> was low (ranged from 0˚C to −1˚C). The pre Idai mean SST<sub>A</sub> spatial distribution over the SWIO was in a condition necessary for the TC occurrence. During TC Idai the mean SST<sub>A</sub> over the EA coastal waters and the northern MC was reduced up to range of −1˚C to 1˚C (<xref ref-type="fig" rid="fig5">Figure 5</xref>(b)), due to boundary layer mixing, and the variations of subsurface oceanic stratification, the condition which modulate the amplitude of TCs-induced cooling as noted by [<xref ref-type="bibr" rid="scirp.112911-ref25">25</xref>], and which in turn enhanced the decline of MAM seasonal rainfall and extending of the seasonal dry spells over the EA coastal strip. Moreover, SST<sub>A</sub> over the southern MC and at the Bengali bay (where Idai made its first land fall) was reduced to range from 0˚C to −3˚C; the state which could be explained by the boundary layer mixing of ocean water (i.e. upwelling where deep water are raised up and surface water sinks down) which was further accelerated to upwelling as noted by Kai, (2018) and Similarly, [<xref ref-type="bibr" rid="scirp.112911-ref26">26</xref>] who noted that year-to-year thermocline depth variability in the southwest tropical Indian Ocean was associated with changes in TC activity. On the other hand, the existence of the positive phase of subtropical Indian Ocean Dipole (SIOD) which is bounded by 55 - 65˚E, 37 - 27˚S west and 90 - 100˚E, 28 - 18˚S east, and characterized by warm SST<sub>A</sub> in the southwestern part i.e., south of Madagascar and cold SST<sub>A</sub> in the eastern part of Australia (Bahera and Yamagata, 2001; Ash and Matyas (2010); Suzuki et al., 2004) and as well as the northward pushing of warms SST anomaly at the southern MC due to induced low pressure cell associated with light winds [<xref ref-type="bibr" rid="scirp.112911-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref29">29</xref>]. <xref ref-type="fig" rid="fig5">Figure 5</xref>(a) and <xref ref-type="fig" rid="fig5">Figure 5</xref>(b) were among the factors which enhanced the strength of the Idai over the MC. As for the post Idai conditions, the higher mean SST anomaly over eastern and northeastern Madagascar as well over EA coastal waters (<xref ref-type="fig" rid="fig5">Figure 5</xref>(c)) which is supported by <xref ref-type="fig" rid="fig3">Figure 3</xref>(c) and <xref ref-type="fig" rid="fig4">Figure 4</xref>(c)) supports the presence of short lived TC Savanah, and the existence of low SST<sub>A</sub> over the Mozambican channel <xref ref-type="fig" rid="fig5">Figure 5</xref>(c) as well as higher vertical wind shear at the northern part of the channel were among the conditions which prevented Savanah to track over the channel.</p></sec><sec id="s3_4"><title>3.4. Perceptible Water (PRW) and Relative Humidity (Rh)</title><p>The results of the analysis of spatial distribution of the amount of PRW and relative humidity over the countries directly or indirectly affected by Idai on its pre, during and post conditions are presented in <xref ref-type="fig" rid="fig6">Figure 6</xref>, for PRW and <xref ref-type="fig" rid="fig7">Figure 7</xref> for Relative humidity (Rh) at 850 and 700 mb, respectively. The spatial distribution of the amount of PRW at the atmosphere before the onset of the TC Idai presented in <xref ref-type="fig" rid="fig6">Figure 6</xref>(a) shows that northern Mozambican channel and EA coastal waters had higher amount of PRW ranged from 45 mm/day to more than 51 mm/day as supported by [<xref ref-type="bibr" rid="scirp.112911-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref31">31</xref>] and [<xref ref-type="bibr" rid="scirp.112911-ref32">32</xref>] that globally and central Indian Ocean in particular, PRW values average ranges from 40 - 50 mm over regions where TCs forms. Furthermore, <xref ref-type="fig" rid="fig6">Figure 6</xref>(a) shows that the northern coastal areas of Tanzania and Kenya was mapped by moderate amount of 35 - 42 mm/day, while the hinterlands of Mozambique and Malawi were mapped by an amount ranged from 39 - 40 mm/day, indicating that prior to Idai the atmosphere over the most affected areas had low amount of PRW i.e. precipitation was not highly or likely expected over these areas, but over the ocean (MC) the condition was very convincing for the TC to trigger. Moreover, the very low amount of PRW ranged from 21 - 30 mm/day in Kenya and northeastern highlands of Tanzania (Kilimanjaro and Arusha areas) could explain the existing drier and drought conditions in most parts of Kenya in an extent that the occurrence of Idai enhanced the rainfall decline in Kenya and some parts of Tanzania. The mean spatial distribution of PRW during the Idai land fall <xref ref-type="fig" rid="fig6">Figure 6</xref>(b) reveals the existence of the southward shift of the peak mean PRW and the reduction in</p><p>PRW over the northern coastal areas, while hinterland areas of Mozambique Malawi and Zimbabwe were having significant increase in PRW, also the eastern part of Madagascar had significant changes in PRW. Significant changes in PRW were observed on pre and during Idai conditions over the Tanzanian southeastern highlands and southern parts of Kenya. The increase in PRW over the central Mozambican channel could be explained as the basis for the increases rainfall activities over Mozambique, Malawi and Zimbabwe and hence results to the devastating events of floods and other storm related issues as noted by [<xref ref-type="bibr" rid="scirp.112911-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref14">14</xref>] and [<xref ref-type="bibr" rid="scirp.112911-ref15">15</xref>]. The spatial distribution of the PRW on post Idai condition presented in <xref ref-type="fig" rid="fig6">Figure 6</xref>(c) reveals the onset of the new TC savannah which had less impact to the western MC countries, but it seems to resume the seasonal rainfall activities over the EA coastal areas (which had low PRW ranged from 30 - 39 mm/day) while the northeastern highlands of Tanzania and southern to central parts of Kenya being affected by low PRW ranged from 18 - 26 mm/day. Further results show that over eastern Madagascar the influence of TC Savannah has induced higher PRW ranged from 42 - 51 mm and this could be explained by the increase in SST<sub>A</sub> (<xref ref-type="fig" rid="fig5">Figure 5</xref>(c)) which promote higher evaporation rates, and hence contribute to the increased precipitable water amount as supported by [<xref ref-type="bibr" rid="scirp.112911-ref31">31</xref>] and [<xref ref-type="bibr" rid="scirp.112911-ref33">33</xref>].</p><p>The spatial distribution of Rh at 850 and 700 mb for the pre, during and post Idai conditions presented in <xref ref-type="fig" rid="fig7">Figure 7</xref> reveled that before the onset of Idai the vertical spatial distribution of the moisture content at 850 and 700 mb <xref ref-type="fig" rid="fig7">Figure 7</xref>(a) and <xref ref-type="fig" rid="fig7">Figure 7</xref>(b) had limited moisture content ranged from 30% - 60% at EA coastal areas, and this moisture content was decreasing northward of the coastal Tanzania towards Kenyan coast which had being mapped with very low moisture content ranged from 20% - 40%, the feature which is more pronounced in <xref ref-type="fig" rid="fig7">Figure 7</xref>(b) (at 700 mb). Moreover, <xref ref-type="fig" rid="fig7">Figure 7</xref>(a) and <xref ref-type="fig" rid="fig7">Figure 7</xref>(b) mapped the northern Mozambican Channel, northern Mozambique, Malawi and western Tanzania with high moisture content ranged from 70% - 90% indicating that the atmosphere at these areas was moist enough to allow the TC development. As for the moisture distribution during Idai <xref ref-type="fig" rid="fig7">Figure 7</xref>(c) and <xref ref-type="fig" rid="fig7">Figure 7</xref>(d)) revealed that the EA coast was characterized by declined moisture content indicating that the dry spell which was marked during the Idai was among other things caused by this decline of moisture and the rushing of 850 mb winds to the cyclone center (<xref ref-type="fig" rid="fig3">Figure 3</xref>(b)) which results the cyclonic flow at 500 and 200 mb <xref ref-type="fig" rid="fig3">Figure 3</xref>(c) and <xref ref-type="fig" rid="fig3">Figure 3</xref>(d)). Likewise, <xref ref-type="fig" rid="fig7">Figure 7</xref>(c) and <xref ref-type="fig" rid="fig7">Figure 7</xref>(d) were favoring the MC, Mozambique, Malawi, Zimbabwe and nearly entire western Tanzania with the exception of the coastal line which has low moisture content. This indicate that extreme rainfall events observed in Mozambique, Malawi and Zimbabwe which results into flooding, land sliding among others, was associated with the existing of high moisture content which was induced by the sucking effect of Idai. As for the post Idai conditions <xref ref-type="fig" rid="fig7">Figure 7</xref>(e) and <xref ref-type="fig" rid="fig7">Figure 7</xref>(f)) revealed that though there was a short lived TC Savannah at the northeastern Madagascar but the vertical moisture distribution from 850 - 700 mb was extremely limited at the EA coastal line with the highest moisture declined observed at 700 mb (<xref ref-type="fig" rid="fig7">Figure 7</xref>(f)). The existing band of high moisture at 850 m (<xref ref-type="fig" rid="fig5">Figure 5</xref>(e)) in areas of northwestern Mozambique, Malawi and western Tanzania could be the one responsible for enhancing the high rainfall which in turn enhancing the wide flooding, and creating worse conditions for the rescue teams to reach the highly Idai effect in areas of Mozambique, Malawi and Zimbabwe as reported by [<xref ref-type="bibr" rid="scirp.112911-ref34">34</xref>] cited by http://www.usaid.gov/what-we-do/working-crises-and-conflict/responding-times-crisis/where-we-work.</p><p>As for the total cloud distribution over the Idai affected areas, results presented in <xref ref-type="fig" rid="fig8">Figure 8</xref> revealed that on pre Idai conditions (<xref ref-type="fig" rid="fig8">Figure 8</xref>(a)) coastal Tanzania, Kenya, Somali, southern Mozambique, Zimbabwe and Zambia had</p><p>very low amount of total cloud cover ranges from 10% - 40%, while south to northwestern Tanzania, Eastern Congo, Northern Mozambique among others had significant (high) amount of cloud cover ranged from 60% - 90% indicating the overcast conditions, the situation which resulted in heavy rainfall in most of the domain areas, and declined rainfall over the northern coastal areas including Dar es Salam, Zanzibar, Tanga and entire countries of Kenya and Somali. Additionally, the declined total cloud cover during the pre Idai induced clear conditions over areas of southern Mozambique, Zambia, and Zimbabwe among others. Besides, <xref ref-type="fig" rid="fig8">Figure 8</xref>(b) presents the average total cloud cover condition during Idai on 22<sup>nd</sup> to 24<sup>th</sup> March, 2019, where less cloud condition was shown over the entire coastal Tanzania, Kenya and Somali. This condition is in good agreement with <xref ref-type="fig" rid="fig3">Figure 3</xref>(b) where 850 mb winds over these areas were rushing towards the cyclone areas (i.e. Mozambican Channel). However, most areas of southern to southwestern Tanzania, Mozambique, Malawi and Zambia among others were having significant amount of clouds. As for the post Idai condition, <xref ref-type="fig" rid="fig8">Figure 8</xref>(c) show an existence of great band of total cloud cover over eastern to southeastern Madagascar, which extend northwards to coastal water of EA countries. This situation is well agreed by <xref ref-type="fig" rid="fig3">Figure 3</xref>(c) indicating the existence of short lived tropical cyclone Savannah, which tried to resume the declined wet conditions over EA, as well as enhancing the wet conditions over Mozambique and its neighborhood areas.</p></sec><sec id="s3_5"><title>3.5. The Vertical Wind Shear</title><p>The results of the spatial distribution of EVWS<sub>852</sub> presented in <xref ref-type="fig" rid="fig9">Figure 9</xref>(a) revealed that pre Idai conditions along the coastal Tanzania and EA Coastal Current (EACC) areas was increasing with highest of 15 m∙s<sup>−1</sup>, the value which is not conducive for both TC development as well as intensity i.e. large levels of EVWS<sub>852</sub> produce a sizable ventilation and will destruct the TC in short time [<xref ref-type="bibr" rid="scirp.112911-ref35">35</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref37">37</xref>], while at northeastern Madagascar (i.e. at 50 - 80˚E and 8 - 12˚S) and northern MC the EVWS<sub>852</sub> was small (i.e. ≤8 ms<sup>−1</sup>). This EVWS<sub>852</sub> of 8 m∙s<sup>−1</sup> and less favors the formation and development of TC as supported by [<xref ref-type="bibr" rid="scirp.112911-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref36">36</xref>]. As for the results of EVWS<sub>852</sub> distribution during cyclone Idai presented in <xref ref-type="fig" rid="fig9">Figure 9</xref>(b) revealed a 6 m∙s<sup>−1</sup> contour bounded over northern Madagascar, northern MC as well as Mozambique, Malawi, Zambia and Zimbabwe. The area where Idai was centered and where it made its landfall (i.e. the intense storm made landfall in Beira, Mozambique) was bounded by 3 m∙s<sup>−1</sup> indicating that at those areas TC Idai was very intense. These results are in agreement with [<xref ref-type="bibr" rid="scirp.112911-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref38">38</xref>] that EVWS<sub>852</sub> is one of the most prominently disputed in the TC intensity and small EVWS<sub>852</sub> values enhance stronger TCs. Indeed, Idai could not have heavy devastating impacts at coastal Tanzania at Dar es Salaam, Lindi and Mtwara areas because the EVWS<sub>852</sub> was increasing equator ward of 12˚S (i.e. it was 9 m∙s<sup>−1</sup> at EACC and coastal areas of Tanzania) resulting in decreasing of its strength (<xref ref-type="fig" rid="fig9">Figure 9</xref>(b)), while areas which had very small EVWS<sub>852</sub> was highly affected by heavy rains and floods. The EVWS<sub>852</sub> distribution on post Idai presented in <xref ref-type="fig" rid="fig9">Figure 9</xref>(c) shows that lower values of about 6 m∙s<sup>−1</sup> centered at northeastern Madagascar (over areas where short lived TCs savannah and Joaninha was tracking), also the 6 m∙s<sup>−1</sup> EVWS<sub>852</sub> troughed over the EACC areas and at coastal Tanzania, the phenomenon which resumed and enhanced the MAM rainfall activities over the coastal Tanzania as supported by <xref ref-type="fig" rid="fig7">Figure 7</xref>(d) and <xref ref-type="fig" rid="fig8">Figure 8</xref>(c) and Frank and Ritchie, (2001) that at small shear, rainfall and cloud water at most levels, are formed.</p></sec><sec id="s3_6"><title>3.6. The Zonal Mean Horizontal Winds and Their Vectors</title><p>The results of the spatial distribution of mean zonal winds U<sub>75</sub> for the three time epochs presented in <xref ref-type="fig" rid="fig1">Figure 1</xref>0 reveals that, mean zonal winds on pre Idai (<xref ref-type="fig" rid="fig1">Figure 1</xref>0(a)) was propagating easterly northward of 20˚S with increasing</p><p>speed from −2 to −8 m/s at the center of the disturbance, while coastal Tanzania and MC was mapped by 0 - 4 m/s. This indicates that the weak and unstable disturbance (e.g. depression) was moving from east towards west and then centered at northeastern Madagascar. As for the southward of 20˚S (<xref ref-type="fig" rid="fig1">Figure 1</xref>0(a)) the area was dominated by increasing westerly flow with its strength ranged from 0 - 28 m/s indicating an upper level ridge extending southwards of the Madagascar and MC. The mean zonal winds during Idai (<xref ref-type="fig" rid="fig1">Figure 1</xref>0(b)) shows that areas bounded by equator to 30˚S was dominated by weak zonal mean flow characterized by both pockets of westerly and easterly especially over areas where Idai had made landfall. Further results in <xref ref-type="fig" rid="fig1">Figure 1</xref>0(b) reveals that at the landfall areas zonal wind flow was weak easterly indicating heavy deposition of moisture content resulting into flooding. Indeed, <xref ref-type="fig" rid="fig1">Figure 1</xref>0(b) revealed a changing orientation (track of the Idai) due to changing zonal wind direction at MC from westerly (≤3 m/s indicating a southwesterly flow) to easterly (≤3 m/s indicating a northeasterly flow). The northern Madagascar and coastal EA was bounded by easterly flow of ≥3 m/s indicating clearing weather conditions. The spatial distribution of the mean zonal wind flow for post Idai (<xref ref-type="fig" rid="fig1">Figure 1</xref>0(c)) had easterly flow of −3 m/s at the center of short lived tropical cyclone Savannah. The increasing of the zonal wind speed (southward of Madagascar) and changing its direction from east to west as well as increasing of vertical wind shear both northward and southward of the center of the savannah (<xref ref-type="fig" rid="fig9">Figure 9</xref>(c)) could be among reasons of its early dissipation.</p><p>Also Savannah could not have southwestward track because it was surrounded by a ridge on its east and west direction (i.e. the winds were opposing its motion, and the shear was disturbing its vertical extent by the ventilation effect). As for the analysis of the mean zonal wind vectors at steering level, the results presented in Figures 10(d)-(f) shows that pre Idai (<xref ref-type="fig" rid="fig1">Figure 1</xref>0(d)) zonal wind vectors were purely easterly over Mozambique, northern Madagascar and over EACC areas, with the exception of coastal areas of Kenya and Tanzania the winds were changing from northerly (Kenya, and Somali coast) and northeasterly parallel to the coast (at coastal Tanzania). Moreover, <xref ref-type="fig" rid="fig1">Figure 1</xref>0(d) shows a linear convergent of winds near over EACC areas resulting into moisture advection to coastal Tanzania and Mozambique. The results in <xref ref-type="fig" rid="fig1">Figure 1</xref>0(d) indicate that irrespective of Idai, Mozambique and southern to southwestern Tanzania were having favorable conditions for precipitation as supported by <xref ref-type="fig" rid="fig8">Figure 8</xref>(a). The mean zonal wind vectors distribution during Idai (<xref ref-type="fig" rid="fig1">Figure 1</xref>0(e)) reveals a pure easterly at the EACC areas and coastal Tanzania, and a cyclonic circulation at the Mozambican channel at areas where Idai made a landfall. This result also reveals that Idai had great vertical extent from surface to 500 mb which was enhanced by weak vertical shear (<xref ref-type="fig" rid="fig9">Figure 9</xref>(b)). Indeed, <xref ref-type="fig" rid="fig1">Figure 1</xref>0(e) show a series of westward flow of low and high pressure cells at 25 - 35˚S this could be among the reason which led Idai to have long time land falling at Mozambique and nearby countries like Zimbabwe and Malawi (i.e. its southward flow was denied by anticyclone circulation centered southern Madagascar. <xref ref-type="fig" rid="fig1">Figure 1</xref>0(f) reveals the post Idai conditions, where new short lived cyclone Savannah was propagating southwestward with good northeasterly to easterly over the Tanzania coastal line and hinterland areas. This condition resumed the decline MAM 2019 rainfall over the coastal areas of Kenya and Tanzania during Idai. Though Idai dissipated but the rainfall condition over Mozambique and its neighbors was still affecting the Idai flood victims as supported by weak cyclonic flow over Mozambican channel (<xref ref-type="fig" rid="fig1">Figure 1</xref>0(e)).</p></sec><sec id="s3_7"><title>3.7. Vortcity Changes during TC Idai</title><p>The low level vertical vorticity (LLV<sub>85</sub>) in the cyclone environment is represented either by a uniform horizontal shear, a uniform solid-body rotation, or a combination of both [<xref ref-type="bibr" rid="scirp.112911-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.112911-ref39">39</xref>]. Also studies suggest the convection in developing TCs, is dominated by intense updrafts and comparatively weak downdrafts (e.g. reference [<xref ref-type="bibr" rid="scirp.112911-ref40">40</xref>] ). For instance, wind shear threshold ranged from 12.5 to 25 m∙s<sup>−1</sup> i.e. shear threshold is unlikely for TC formation [<xref ref-type="bibr" rid="scirp.112911-ref41">41</xref>]. The distribution of the LLV<sub>85</sub> during the pre Idai <xref ref-type="fig" rid="fig1">Figure 1</xref>1(a) reveals a negative vorticity (a counter-clockwise</p><p>spin) of about 9 &#215; 10<sup>−6</sup>/s at the northern Madagascar and the entire strip from the southern Madagascar via Mozambique to southwestern Tanzania. Also the entire area which has high climatology of TCs tracks was under the influence of negative LLRV<sub>85</sub>. These results indicate that the area was under the influence of decreasing vertical wind shear which is among the necessary conditions for TCs genesis and development as supported by [<xref ref-type="bibr" rid="scirp.112911-ref41">41</xref>], and [<xref ref-type="bibr" rid="scirp.112911-ref42">42</xref>]. Besides, <xref ref-type="fig" rid="fig1">Figure 1</xref>1(a) shows that for the pre Idai condition the entire coastal Tanzania and northeastern highlands of Tanzania was under the influence of positive vorticity of about 5 &#215; 10<sup>−6</sup>. As for the distribution of LLRV<sub>85</sub> <xref ref-type="fig" rid="fig1">Figure 1</xref>1(b) shows that negative LLRV<sub>85</sub> was mapped on center of the landfall area (coastal Mozambique i.e. Beira where Idai made a landfall near Beira, Category 2 storm with winds exceeding 105 mph on 14<sup>th</sup> to 15<sup>th</sup> March, 2019 with heavy rainfall and flood on Mozambique Malawi and Zimbabwe and nearby countries like southern western Tanzania) and the southwestern Madagascar which the two were in a position to support each other. Also during Idai life the negative LLRV<sub>85</sub> was mapped at north eastern Madagascar indicating the possibility of having the development of other TCs. Indeed, Malawi and southwestern and central Tanzania was under the influence of negative LLRV<sub>85</sub> indicating that the wide distribution of the cyclonic impacts of the Idai during its Landfall. As for the post Idai results presented in <xref ref-type="fig" rid="fig1">Figure 1</xref>1(c) reveals the negative spinning centered at northeastern Madagascar at the area where the short lived TC Savannah was centered. On the other hand <xref ref-type="fig" rid="fig1">Figure 1</xref>1(c) show that more affected areas of Mozambique Zambia and Malawi and most parts of Tanzania was now under the influence of zero spin.</p><p>The vertical profile of vorticity at 45˚E (the landfall longitude of TC Idai) and 56˚E (center of TC Savanah) presented in <xref ref-type="fig" rid="fig1">Figure 1</xref>1(d) and <xref ref-type="fig" rid="fig1">Figure 1</xref>1(e) revealed a positive vertical spinning of vorticity (<xref ref-type="fig" rid="fig1">Figure 1</xref>1(d)) from low level to upper level was observed at a latitude range of 10 - 30˚S with vertical increased values of vorticity indicating that the impact of Idai fall on the defined latitude range of 10 - 30˚S. Also <xref ref-type="fig" rid="fig1">Figure 1</xref>1(d) shows that equator ward of Idai (5˚S to 0) was not having strong spinning indicating stable conditions. In <xref ref-type="fig" rid="fig8">Figure 8</xref>(e) results revealed a dipole vertical spinning (i.e. negative or anticlockwise; at low level and positive or clockwise at higher level), with latitude range of 20 to 5S being dominated by this spin. These results indicate the existing of negative vertical shear above the boundary layer, which led the vorticity dipole reverses in sign with height as supported by [<xref ref-type="bibr" rid="scirp.112911-ref41">41</xref>]. Also study results is in agreement with <xref ref-type="fig" rid="fig7">Figure 7</xref>(c) where at 56˚E the area is dominated by weak vertical shear indicating the strengthening of the storm Savannah. Also <xref ref-type="fig" rid="fig7">Figure 7</xref>(c) shows the shear was degreasing northward of latitude 10˚S. Indeed, results in <xref ref-type="fig" rid="fig7">Figure 7</xref>(c) and <xref ref-type="fig" rid="fig8">Figure 8</xref>(e) explain as to what the rainfall resumed at northern coastal areas of Tanzania and Kenya.</p></sec></sec><sec id="s4"><title>4. Rainfall Outcome of the Tropical Cyclone Idai</title><p>The results of the strength of the rainfall during TC Idai over the mentioned domain using the precipitable water data is presented in <xref ref-type="fig" rid="fig1">Figure 1</xref>2. Results in <xref ref-type="fig" rid="fig1">Figure 1</xref>2(a) shows the mean precipitable water distribution during 10<sup>th</sup>-12<sup>th</sup> (i.e. before landfall), where MC and coastal areas of Mozambique was mapped with higher rates of more than 50 mm/day, while Malawi. Southern areas of Tanzania and hinterlands of Mozambique were mapped with PRW of 40 - 45 mm/day. As during landfall low <xref ref-type="fig" rid="fig1">Figure 1</xref>2(b) revealed that low lands of Mozambique were marked with heavy PRW rates of more than 50 mm/day, while southern Tanzania, Malawi and Zimbabwe were having PRW rates ranged from</p><p>30 - 45 mm/day indicating that Mozambique was more affected by heavy precipitation and floods. As TC Idai tracks southwestward and intensifying its landfall to further interior, then heavy precipitation affected Southern Mozambique and Zimbabwe as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>2(c) with high PRW rated at more than 50 mm/day, with the rest of Mozambique and some parts of Zimbabwe having higher PWR rated at 35 - 40 mm/day. Furthermore, the distribution of PRW shows that during 18<sup>th</sup>-20<sup>th</sup> March, 2019, instead of getting relief, due to weakening of Idai (16<sup>th</sup> March, 2020) the condition became more worse because of the strengthening of short lived TC Savannah (18<sup>th</sup>-20<sup>th</sup> March, 2019) which intensified and devastated the entire region (Malawi, Zimbabwe, and Mozambique including southern Tanzania) <xref ref-type="fig" rid="fig1">Figure 1</xref>2(d). Also <xref ref-type="fig" rid="fig1">Figure 1</xref>2(d) revealed that the entire Mozambique and southern Malawi had higher PRW rates at of more than 50 mm/day indicating that the occurrence of Savannah accelerated the floods due to landfall of Idai and hence affecting the socio-economics, and livelihood status of the three neighboring countries of Mozambique Zimbabwe and Malawi. Besides, results revealed that the occurrence of Savannah reduced the effect of Idai over the Tanzania, Kenya and Uganda (cleared or dried the weather condition) due to turning of 850 mb winds from northeasterly to northerly and to southeasterly (<xref ref-type="fig" rid="fig3">Figure 3</xref>(b) and <xref ref-type="fig" rid="fig3">Figure 3</xref>(c)).</p></sec><sec id="s5"><title>5. The Societal Implications of the TC Idai</title><p>The southern African region was severely devastated by cyclone Idai which greatly affected Mozambique, Malawi and Zimbabwe in early to mid March 2019, leaving over 1000 people dead and almost 3 million people being affected. The forecaster warns that locations from Lindi, Tanzania to Pemba in Mozambique may experience the worst of the storm (weather forecaster accuweather). The outcome of the forecast revealed a massive flooding associated to Idai, strong winds and torrential rains which left the west coast southern Africa (Mozambique, Malawi and Zimbabwe (i.e. at Chimanimani and Chipinge)) and hinterland areas in flimsy and inundated state due to catastrophic damage. Based on the effects posed by this storm United Nations Office for Coordination and Human Affair [<xref ref-type="bibr" rid="scirp.112911-ref15">15</xref>] estimated that about 1.6 million people were affected in the mentioned three countries. Further analysis revealed that more than 77,000 people were displaced and at least 602 and 344 people were killed in Mozambique and Zimbabwe, respectively. Also the report revealed that about 239,700 houses were damaged in Mozambique and more than 59,100 individuals across Buhera, Chimanmani, Chipinge, and Mutare districts in Zimbabwe. Moreover, communicable diseases including cholera and malaria were reported. According to Mozambican government 4,032 case of cholera were reported and nearly 8900 malaria cases were reported in Beira, Buzi, Dondo, and Nhamantanda [<xref ref-type="bibr" rid="scirp.112911-ref16">16</xref>]. Furthermore, the oral Cholera Vaccination (OCV) campaign vaccined 802,347 people (96% of the target) [<xref ref-type="bibr" rid="scirp.112911-ref15">15</xref>] As for the food security, the Mozambican government estimated that at least 715,378 hectares (including 1.77 million acres of crops [<xref ref-type="bibr" rid="scirp.112911-ref16">16</xref>] of agricultural land were damaged, affecting 500,000 producing families. indeed [<xref ref-type="bibr" rid="scirp.112911-ref16">16</xref>] reported that the flooding and winds related to TC Idai severely damaged water and sanitation systems in Zimbabwe, such that United Nations High Commissioner for Refugees (UNHCR) reported a shortage of safe drinking water in Chipinge district’s Tongogara refugee camp, where more than 13,000 refugees and asylum seekers [<xref ref-type="bibr" rid="scirp.112911-ref16">16</xref>]. As for Malawi heavy rains and flooding linked to TC Idai killed 60 people, displaced nearly 87,000 people and affected nearly 870,000 persons in 15 districts (Malawi government), where the most affected areas are southern Malawi in districts of Chichawa, Nsanje, Phalombe, and Zomba. On summary the study results has revealed that TC Idai has severely devastated, the southern African community in the countries Mozambique, Malawi and Zimbabwe, and call the attention for international funders, and humanitarian activists including the USAID, CARE among others to intervene the situation, where a total of $58,518,212 from different missions were used as humanitarian funding for TC Idai and floods response. On the other hand the occurrence of TC Idai disrupts the MAM 2019 seasonal rainfall over the coastal and hinterland areas of Kenya, Tanzania and Somali, but the occurrence of short lived tropical cyclone Savannah redirected he 850 mb wind orientation an resumed the normality of MAM 2019 rainfalls in EA countries (coastal Kenya Tanzania and Somali).</p></sec><sec id="s6"><title>6. Discussions and Conclusions</title><p>Tropical cyclones are among natural phenomena that result in devastating situations, which in turn affect the societies leaving either nearby or along the world tropical cyclone basins. The SWIO basin has been experienced worse and more devastating conditions during the occurrences of TCs such as Bondo 1996, Elline 2000, Fantatla 2016, Fobane (2014) among others. The 2018/2019 SWIO TC season has been among the worse seasons in the history of TCs in this basin. The occurrence of three consecutive TCs of Idai (4-16<sup>th</sup> March, 2019), Savannah (18-20<sup>th</sup> March, 2019) and Kenneth (21<sup>st</sup>-29<sup>th</sup> April, 2019) has been among the issues of world concern due to damages associated with these TCs over Mozambique (four provinces of Sofala, Manica, Zambezia and Tete were severely damaged), Zimbabwe, and Malawi as well as the countries lying equatorward of 12˚S (such as Tanzania, Kenya Uganda and Somalia). The frequent episodes of floods droughts facing Mozambique and nearby countries could be explained as the growing reality of the negative impact of climate change as noted by [<xref ref-type="bibr" rid="scirp.112911-ref43">43</xref>]. Based on the impacts of the strongest TCs in the SWIO, and which made landfall in Mozambique, TC Idai (2019) was the second in the record after TC (Elline, 2000) which induced the biggest floods causing the death of 700 people and affecting more than 2 million people, and economic damages estimated to 600 million USD [<xref ref-type="bibr" rid="scirp.112911-ref44">44</xref>]. The study has devoted to analyzing the dynamics of the TC Idai which caused the devastating events of heavy rainfall, floods and strong winds which resulted in the marked catastrophic moments over the stated domain. The presented results and the reports have agreed that nearly all necessary conditions for the TCs genesis and development were in a state to allow the formation and development of the TC Idai. For instance, wind vectors (<xref ref-type="fig" rid="fig3">Figure 3</xref>), MSLP (<xref ref-type="fig" rid="fig4">Figure 4</xref>), SSTs (<xref ref-type="fig" rid="fig5">Figure 5</xref>), PRW (<xref ref-type="fig" rid="fig6">Figure 6</xref>) among others all were in agreement to support the TC Idai development and intensification. Moreover, apart from causing catastrophic damages to most SWIO countries including Mozambique, Zambia and Malawi, but also TC Idai declined the MAM 2019 weather over the coastal strip of EA (Kenya, Tanzania, Somali among others) resulting in enhanced dry conditions over Kenya, the phenomenon which is well agreed by [<xref ref-type="bibr" rid="scirp.112911-ref9">9</xref>] that when TCs are tracking on MC the weather in most areas of northern coastal Tanzania, the coastal strip of Kenya and Somali among others is declined.</p><p>Based on the presented results and discussions, the study came up with the following conclusions:</p><p>1) TCs are among the climate events which results in the catastrophic environment over most areas, hence extensive studies on TCs characteristic and its landfall behaviors especially over low lands of Mozambique should be well researched to reduce the vulnerability and the impacts;</p><p>2) TCs landfall events has been several time forecasted over the Tanzanian coast (e.g. Fantala, Keneth, Jobo among others), but unfortunately, the forecasts went wrong, so extensive studies should be conducted to explain why TCs do not normally make land fall to the coastal strip of Tanzania especially the northern coast;</p><p>3) Extensive studies should be conducted to understand why when TCs are tracking over the MC the coastal strip of Tanzania and Kenya become dry;</p><p>4) The need to improve the infrastructures to minimize the impacts of the frequent landing cyclones over the MC and neighborhood areas.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Kai, K.H., Osima, S.E., Ismail, M.H., Waniha, P. and Omar, H.A. (2021) Assessment of the Impacts of Tropical Cyclones Idai to the Western Coastal Area and Hinterlands of the South Western Indian Ocean. Atmospheric and Climate Sciences, 11, 812-840. https://doi.org/10.4236/acs.2021.114047</p></sec></body><back><ref-list><title>References</title><ref id="scirp.112911-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Josh, A., Rosimar, R. and Jeremy, B. (2014) The Role of Water Vapor in Tropical Cyclone Development. Journal of Research &amp; Technology.https://physicstoday.scitation.org/do/10.1063/PT.5.4008/</mixed-citation></ref><ref id="scirp.112911-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Charrua, A.B., Padmanaban, R., Cabral, P., Bandeira, S. and Romeiras, M.M. (2021) Impacts of the Tropical Cyclone Idai in Mozambique: A Multi-Temporal Landsat Satellite Imagery Analysis. Remote Sensing, 13, Article No. 201. https://doi.org/10.3390/rs13020201</mixed-citation></ref><ref id="scirp.112911-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Kolstad, E.W. (2020) Prediction and Precursors of Idai and 38 Other Tropical Cyclones and Storms in the Mozambique Channel. Quarterly Journal of the Royal Meteorological Society, 1-13. https://doi.org/10.1002/essoar.10501336.2</mixed-citation></ref><ref id="scirp.112911-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">La du Plessis (2002) A Review of Effective Flood Forecasting, Warning and Response System for Application in South Africa. Water SA, 28, 129-138. https://doi.org/10.4314/wsa.v28i2.4878</mixed-citation></ref><ref id="scirp.112911-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Reason, C.J.C. and Keibel, A. (2004) Tropical Cyclone Eline and Its Unusual Penetration and Impacts over the Southern African Mainland. Weather and Forecasting, 19, 789-805. https://doi.org/10.1175/1520-0434(2004)019%3C0789:TCEAIU%3E2.0.CO;2</mixed-citation></ref><ref id="scirp.112911-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Reason, C.J.C. (2007) Tropical Cyclone Dera, the Unusual 2000/01 Tropical Cyclone Season in the South West Indian Ocean and Associated Rainfall Anomalies over Southern Africa. Meteorology and Atmospheric Physics, 97, 181-188. https://doi.org/10.1007/s00703-006-0251-2</mixed-citation></ref><ref id="scirp.112911-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Klinman, M.G. and Reason, C.J.C. (2008) On the Peculiar Storm Track of TC Favio during the 2006-2007 Southwest Indian Ocean Tropical Cyclone Season and Relationships to ENSO. Meteorology and Atmospheric Physics, 100, 233-242. https://doi.org/10.1007/s00703-008-0306-7</mixed-citation></ref><ref id="scirp.112911-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Malherbe, J., Engelbrecht, F.A., Landman, W.A. and Engelbrecht, C.J. (2012) Tropical Systems from the Southwest Indian Ocean Making Landfall over the Limpopo River Basin, Southern Africa: A Historical Perspective. International Journal of Climatology, 32, 1018-1032. https://doi.org/10.1002/joc.2320</mixed-citation></ref><ref id="scirp.112911-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Kai, K.H. (2018) Impacts of Southwestern Indian Ocean Tropical Cyclones and Storms on the Rainfall Pattern and Vegetation Productivity over Tanzania. Thesis Submitted to the Institute of Marine Sciences of the University of Dar Es Salaam, Dar Es Salaam, 297.</mixed-citation></ref><ref id="scirp.112911-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Kai, K.H., Ngwali, M.K. and Faki, M.M. (2021) Assessment of the Impacts of Tropical Cyclone Fantala to Tanzania Coastal Line: Case Study of Zanzibar. Atmospheric and Climate Sciences, 11, 245-266. https://doi.org/10.4236/acs.2021.112015</mixed-citation></ref><ref id="scirp.112911-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Ash, K.D. and Matyas, C.J. (2010) The Influence of ENSO and Subtropical Indian Ocean Dipole on Tropical Cyclone Trajectories in the Southwestern Indian Ocean. International Journal of Climatology, 32, 41-56.https://doi.org/10.1002/joc.2249</mixed-citation></ref><ref id="scirp.112911-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Mavume, A.F., Rydberg, L., Mathieu, R. and Lutjeharms, J.R.E. (2006) Climatology and Landfall of Tropical Cyclones in the South West Indian Ocean. Western Indian Ocean Journal Marine Sciences, 8, 15-36. https://doi.org/10.4314/wiojms.v8i1.56672</mixed-citation></ref><ref id="scirp.112911-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">United Nations (2019) Malawi: Floods—Situation Report No. 6 (as of 28th June 2019). Zimbabwe Situation Report, 4 Dec 2020 and ECHO Factsheet—Southern Africa and Indian Ocean.https://reliefweb.int/report/malawi/malawi-floods-situation-report-no-6-28th-june-2019</mixed-citation></ref><ref id="scirp.112911-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Chibueze, N.O. and Babatunde, J.A. (2019) Simulating the Influence of Sea-Surface-Temperature (SST) on Tropical Cyclones over South-West Indian Ocean, Using the UEMS-WRF Regional Climate Model. A Preprint.</mixed-citation></ref><ref id="scirp.112911-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">UN OCHA (United Nations Office for the Coordination of Humanitarian Affairs) (2019) MOZAMBIQUE: Cyclone Idai &amp; Floods Situation Report No. 7. https://vosocc.unocha.org/GetFile.aspx?file=89307_OCHA_Siuation_Report_No.7_08_Apr.pdf</mixed-citation></ref><ref id="scirp.112911-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">USAID (United States Agency for International Development) (2019) Southern Africa–Tropical Cyclone Idai. FACT SHEET #7, FISCAL YEAR (FY) 2019; OFDA Bulletins Appear on the USAID Website. http://www.usaid.gov/what-we-do/working-crises-and-conflict/responding-times-crisis/where-we-work</mixed-citation></ref><ref id="scirp.112911-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Kalnay, E, Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woolen, J., Zhu, Y., Chelliah, M., Higgins, W., Janowiak, J., Mo, K.C., Ebisuzaki, W., Ropelewski, R., Wang, J., Leetmaa, A., Reynolds, R., Jenne, R. and Joseph, D. (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of American Meteorological Society, 77, 437-471. https://doi.org/10.1175/1520-0477(1996)077%3C0437:TNYRP%3E2.0.CO;2</mixed-citation></ref><ref id="scirp.112911-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Kistler, R., Kalnay, E. and Collins, W. (2001) The NCEP-NCAR 50 Years Reanalysis: Monthly Means CD-ROM and Documentation. Bulletin of the American Meteorological Society, 82, 247-267. https://doi.org/10.1175/1520-0477(2001)082%3C0247:TNNYRM%3E2.3.CO;2</mixed-citation></ref><ref id="scirp.112911-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Merril, R.T. (1987) An Experiment in the Statistical Prediction of Tropical Cyclone Intensity Change. 17th Conference on Hurricanes and Tropical Meteorology, 302-307.</mixed-citation></ref><ref id="scirp.112911-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Merril, R.T. (1988) Environmental Influences on Hurricane Intensification. Journal of Atmospheric Sciences, 45, 1678-1687. https://doi.org/10.1175/1520-0469(1988)045%3C1678:EIOHI%3E2.0.CO;2</mixed-citation></ref><ref id="scirp.112911-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Chand, S.S. and Walsh, K.J.E. (2009) Tropical Cyclone Activity in the Fiji Region: Spatial Patterns and Relationship to Large-Scale Circulation. Journal of Climate, 22, 3877-3893. https://doi.org/10.1175/2009JCLI2880.1</mixed-citation></ref><ref id="scirp.112911-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Chand, S.S., Walsh, K.J.E. and Chan, J.C.L. (2010) A Bayesian Regression Approach to Seasonal Prediction of Tropical Cyclones Affecting the Fiji Region. Journal of Climate, 23, 3425-3445. https://doi.org/10.1175/2010JCLI3521.1</mixed-citation></ref><ref id="scirp.112911-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Wissmeier, U. and Smith, R.K. (2011) Tropical Cyclone Convection: The Effects of Ambient Vertical Vorticity. Quarterly Journal of the Royal Meteorological Society, 137, 845-857. https://doi.org/10.1002/qj.819</mixed-citation></ref><ref id="scirp.112911-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Kupferman, R. (2001) A Central-Difference Scheme for a Pure Stream Function Formulation of Incompressible Viscous Flow. SIAM Journal on Scientific Computing, 23, 1-18. https://doi.org/10.1137/S1064827500373395</mixed-citation></ref><ref id="scirp.112911-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Vincent, E.M., Emanuel, K.A., Lengaigne, M., Vialard, J. and Madec, G. (2014) Influence of Upper Ocean Stratification Interannual Variability on Tropical Cyclones. Journal of Advances in Modeling Earth Systems, 6, 680-699. https://doi.org/10.1002/2014MS000327</mixed-citation></ref><ref id="scirp.112911-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Xie, S.-P., Annamalai, H., Schott, F.A. and McCreary, J.P. (2002) Structure and Mechanisms of South Indian Ocean Climate Variability. Journal of Climate, 15, 864-878.https://doi.org/10.1175/1520-0442(2002)015%3C0864:SAMOSI%3E2.0.CO;2</mixed-citation></ref><ref id="scirp.112911-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Behera, S.K. and Yamagata, T. (2001) Subtropical SST Dipole Events in the Southern Indian Ocean. Geophysical Research Letters, 28, 327-330.https://doi.org/10.1029/2000GL011451</mixed-citation></ref><ref id="scirp.112911-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Reason, C.J.C. (2002) Sensitivity of the Southern African Circulation to Dipole Sea-Surface Temperature Patterns in the South Indian Ocean. International Journal of Climatology, 22, 377-393. https://doi.org/10.1002/joc.744</mixed-citation></ref><ref id="scirp.112911-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Suzuki, R., Behera, S.K., Iizuka, S. and Yamagata, T. (2004) Indian Ocean Subtropical Dipole Simulated Using a Coupled General Circulation Model. Journal of Geophysical, 109, Article ID: C09001. https://doi.org/10.1029/2003JC001974</mixed-citation></ref><ref id="scirp.112911-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Ferraro, R.R., Weng, F.Z., Grody, N.C. and Basist, A. (1996) An Eight-Year (1987-1994) Time Series of Rainfall, Clouds, Water Vapor, Snow Cover, and Sea Ice Derived from SSM/I Measurements. Bulletin of American Meteorological Society, 77, 891-905. https://doi.org/10.1175/1520-0477(1996)077%3C0891:AEYTSO%3E2.0.CO;2</mixed-citation></ref><ref id="scirp.112911-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Chu, P.-S. (2002) Large-Scale Circulation Features Associated with Decadal Variations of Tropical Cyclone Activity over the Central North Pacific. Journal of Climate, 15, 2678-2689. https://doi.org/10.1175/1520-0442(2002)015%3C2678:LSCFAW%3E2.0.CO;2</mixed-citation></ref><ref id="scirp.112911-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Inoue, M., Handoh, I.C. and Bigg, G.R. (2002) Bimodal Distribution of Tropical Cyclogenesis in the Caribbean: Characteristics and Environmental Factors. Journal of Climate, 15, 2897-2905. https://doi.org/10.1175/1520-0442(2002)015%3C2897:BDOTCI%3E2.0.CO;2</mixed-citation></ref><ref id="scirp.112911-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Stephens, G.L. (1990) On the Relationship between Water Vapor over the Oceans and Sea Surface Temperature. Journal of Climatology, 3, 634-645. https://doi.org/10.1175/1520-0442(1990)003%3C0634:OTRBWV%3E2.0.CO;2</mixed-citation></ref><ref id="scirp.112911-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">USAID (United States Agency for International Development) (2019) Southern Africa—Tropical Cyclones Fact Sheet #13, Fiscal Year (FY) 2019, May 31, 2019.</mixed-citation></ref><ref id="scirp.112911-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Tuleya, R.E. and Kurihara, Y. (1981) A Numerical Study on the Effects of Environmental Flow on Tropical Storm Genesis. Monthly Weather Review, 109, 2487-2506. https://doi.org/10.1175/1520-0493(1981)109%3C2487:ANSOTE%3E2.0.CO;2</mixed-citation></ref><ref id="scirp.112911-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Frank, W.M. and Ritchie, E.A. (2001) Effects of Vertical Winds Shear on the Intensity and Structure of Numerically Simulated Hurricanes. Monthly Weather Review, 129, 2249-2269. https://doi.org/10.1175/1520-0493(2001)129%3C2249:EOVWSO%3E2.0.CO;2</mixed-citation></ref><ref id="scirp.112911-ref37"><label>37</label><mixed-citation publication-type="other" xlink:type="simple">Frank, W.M. and Ritchie, E.A. (1999) Effects of Environmental Flow upon Tropical Cyclone Structure. Monthly Weather Review, 127, 2044-2061. https://doi.org/10.1175/1520-0493(1999)127%3C2044:EOEFUT%3E2.0.CO;2</mixed-citation></ref><ref id="scirp.112911-ref38"><label>38</label><mixed-citation publication-type="other" xlink:type="simple">DeMaria, M. (1996) The Effects of Vertical Shear on Tropical Cyclone Intensity Change. Journal of Atmospheric Sciences, 53, 2076-2087. https://doi.org/10.1175/1520-0469(1996)053%3C2076:TEOVSO%3E2.0.CO;2</mixed-citation></ref><ref id="scirp.112911-ref39"><label>39</label><mixed-citation publication-type="other" xlink:type="simple">Tory, K.J., Dare, R.A., Davidson, N.E., McBride, J.L. and Chand, S.S. (2013) The Importance of Low-Deformation Vorticity in Tropical Cyclone Formation. Atmospheric Chemistry and Physics, 13, 2115-2132. https://doi.org/10.5194/acp-13-2115-2013</mixed-citation></ref><ref id="scirp.112911-ref40"><label>40</label><mixed-citation publication-type="other" xlink:type="simple">Nolan, D.S., Rappin, E.D. and Emanuel, K.A. (2007) Tropical Cyclogenesis Sensitivity to Environmental Parameters in Radiative-Convective Equilibrium. Quarterly Journal of the Royal Meteorological Society, 133, 2085-2107. https://doi.org/10.1002/qj.170</mixed-citation></ref><ref id="scirp.112911-ref41"><label>41</label><mixed-citation publication-type="other" xlink:type="simple">Zehr, R.M. (1992) Tropical Cyclogenesis in the Western North Pacific. NOAA Technical Report NESDIS6, National Oceanic and Atmospheric Administration, Washington DC, 181 p.</mixed-citation></ref><ref id="scirp.112911-ref42"><label>42</label><mixed-citation publication-type="other" xlink:type="simple">Kilroy, G. and Smith, R.K. (2015) Tropical Cyclone Convection: The Effects of a Vortex Boundary-Layer Wind Profile on Deep Convection. Quatery Journal of Royal Meteorological Society, 141, 714-726. https://doi.org/10.1002/qj.2383</mixed-citation></ref><ref id="scirp.112911-ref43"><label>43</label><mixed-citation publication-type="other" xlink:type="simple">The Post-Disaster Needs Assessment (PDNA) (2019) Mozambique Cyclone Idai: Post Deserter Deeds Assessment. https://www.ilo.org/wcmsp5/groups/public/---ed_emp/documents/publication/wcms_704473.pdf</mixed-citation></ref><ref id="scirp.112911-ref44"><label>44</label><mixed-citation publication-type="other" xlink:type="simple">WMO (World Meteorological Organization) (2019) Reducing Vulnerability to Extreme Hydro-Meteorological Hazards in Mozambique after Cyclone IDAI. WMO Mission Report following Tropical Cyclone IDAI. https://www.afro.who.int/sites/default/files/2019-05/WHOSitRep1Mozambique06-07-2019.pdf</mixed-citation></ref></ref-list></back></article>