Atmospheric energy conversion characteristics of heavy rainfall in Sindh during the 2011 monsoon
Ge Fei
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters; KLME, Nanjing University of Information Science and Technology, Nanjing, China
Zaheer Ahmad Babar
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters; KLME, Nanjing University of Information Science and Technology, Nanjing, China; Pakistan Meteorological Department, Islamabad, Pakistan
Guo Sheng-li
Corresponding author
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters; KLME, Nanjing University of Information Science and Technology, Nanjing, China
Chen Yun
National Meteorological Center of the China Meteorological Administration, Beijing, China
Zhi Xie-Fei
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters; KLME, Nanjing University of Information Science and Technology, Nanjing, China
Tang Wei-Wei
Chongqing Institute of Environmental Science, Chongqing, China
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KLME, Nanjing University of Information Science and Technology, Nanjing, China" "identificador" => "aff0005" ] ] ] 1 => array:3 [ "autoresLista" => "Zaheer Ahmad Babar" "autores" => array:1 [ 0 => array:2 [ "nombre" => "Zaheer Ahmad" "apellidos" => "Babar" ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters; KLME, Nanjing University of Information Science and Technology, Nanjing, China; Pakistan Meteorological Department, Islamabad, Pakistan" "identificador" => "aff0010" ] ] ] 2 => array:4 [ "autoresLista" => "Guo Sheng-li" "autores" => array:1 [ 0 => array:4 [ "nombre" => "Guo" "apellidos" => "Sheng-li" "email" => array:1 [ 0 => "shlguo@nuist.edu.cn" ] "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters; KLME, Nanjing University of Information Science and Technology, Nanjing, China" "identificador" => "aff0015" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "*" "correspondencia" => "Corresponding author." ] ] ] 3 => array:3 [ "autoresLista" => "Chen Yun" "autores" => array:1 [ 0 => array:2 [ "nombre" => "Chen" "apellidos" => "Yun" ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "National Meteorological Center of the China Meteorological Administration, Beijing, China" "identificador" => "aff0020" ] ] ] 4 => array:3 [ "autoresLista" => "Zhi Xie-Fei" "autores" => array:1 [ 0 => array:2 [ "nombre" => "Zhi" "apellidos" => "Xie-Fei" ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters; KLME, Nanjing University of Information Science and Technology, Nanjing, China" "identificador" => "aff0025" ] ] ] 5 => array:3 [ "autoresLista" => "Tang Wei-Wei" "autores" => array:1 [ 0 => array:2 [ "nombre" => "Tang" "apellidos" => "Wei-Wei" ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Chongqing Institute of Environmental Science, Chongqing, China" "identificador" => "aff0030" ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0020" "etiqueta" => "Fig. 4" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr4.jpeg" "Alto" => 819 "Ancho" => 1224 "Tamanyo" => 336836 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Terrain conditions of Pakistan.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">1</span><span class="elsevierStyleSectionTitle" id="sect0020">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">The South Asian monsoon is characterized by seasonal changes in atmospheric circulation and precipitation associated with asymmetric heating of land and sea. Northern and central parts of the Indian subcontinent heat up considerably during the hot summers, causing the moisture-laden winds from the Indian Ocean to move over the surface (<a class="elsevierStyleCrossRef" href="#bib0015">Bedi and Bindra, 1980</a>; <a class="elsevierStyleCrossRef" href="#bib0105">Rasmusson and Carpenter, 1983</a>; <a class="elsevierStyleCrossRef" href="#bib0155">Zhi, 2001</a>; <a class="elsevierStyleCrossRef" href="#bib0125">Singh, 2006</a>; <a class="elsevierStyleCrossRef" href="#bib0130">Syed <span class="elsevierStyleItalic">et al.</span>, 2010</a>; <a class="elsevierStyleCrossRef" href="#bib0150">Zhang <span class="elsevierStyleItalic">et al.</span>, 2015</a>). The occurrence of severe rainfall is highly dependent upon the strength of moisture content and tracks of monsoon winds. The summer monsoon over the Indian subcontinent is divided into two parts, the Arabian Sea branch and the Bay of Bengal branch. Monsoon precipitation not only brings a welcome relief to the scorching heat of summer, but it is also the major driving factor of economy. In particular, it is directly related to the agricultural production of the region (<a class="elsevierStyleCrossRef" href="#bib0085">Parthasarathy and Pant, 1985</a>; <a class="elsevierStyleCrossRef" href="#bib0090">Parthasarathy <span class="elsevierStyleItalic">et al.</span>, 1988</a>; <a class="elsevierStyleCrossRef" href="#bib0035">Gadgil <span class="elsevierStyleItalic">et al.</span>, 1999</a>). Pakistan is influenced by the monsoon regime during the months of July to September. Mostly northern, northeastern and southeastern parts of the country are affected by the monsoon weather system. In 2011, Sindh was hit by the worst heavy rainfall ever. More than two million people suffered from flood-related diseases following torrential rain. It is estimated that about 5.3 million people were affected directly by the flood, 434 civilians were killed, and 1.5 million houses destroyed. This flood also affected Sindh's agriculture, since at least 1.7 million acres of croplands were inundated.</p><p id="par0010" class="elsevierStylePara elsevierViewall">Heavy rainfall during the monsoon is one of the most serious hazards occurring in India and Pakistan (<a class="elsevierStyleCrossRef" href="#bib0095">Rahmatullah, 1952</a>; <a class="elsevierStyleCrossRef" href="#bib0010">Awade <span class="elsevierStyleItalic">et al.</span>, 1982</a>; <a class="elsevierStyleCrossRef" href="#bib0065">Izumo <span class="elsevierStyleItalic">et al.</span>, 2008</a>; <a class="elsevierStyleCrossRef" href="#bib0110">Rasul <span class="elsevierStyleItalic">et al.</span>, 2004</a>, <a class="elsevierStyleCrossRef" href="#bib0120">2008</a>; <a class="elsevierStyleCrossRef" href="#bib0070">Krishnan <span class="elsevierStyleItalic">et al.</span>, 2009</a>; <a class="elsevierStyleCrossRef" href="#bib0045">Ge <span class="elsevierStyleItalic">et al.</span>, 2014</a>). This kind of weather phenomena is closely monitored by meteorological departments with a high cost in manpower and material resources. However, these countries are still struggling to have an efficient forecast method to predict extreme weather events.</p><p id="par0015" class="elsevierStylePara elsevierViewall">According to atmospheric energetics, a heavy rainfall system is the process of energy accumulation and release. The characteristics of atmospheric energy in heavy rainfall events have been summarized in many previous studies (<a class="elsevierStyleCrossRef" href="#bib0140">Yeh, 1949</a>; <a class="elsevierStyleCrossRef" href="#bib0145">Zeng, 1983</a>). Some interesting results have been found, such as the fact that baroclinic waves in mid-latitude storm tracks tend to be organized in localized wave packets that clearly exhibit downstream development (<a class="elsevierStyleCrossRef" href="#bib0020">Chang, 1993</a>; <a class="elsevierStyleCrossRef" href="#bib0075">Lee and Held, 1993</a>). <a class="elsevierStyleCrossRef" href="#bib0030">Chang and Yu (1999)</a> extend the analyses of the Southern Hemisphere and the summer seasons to examine the seasonal and hemispheric dependence on wave packet characteristics. Recently, <a class="elsevierStyleCrossRef" href="#bib0040">Ge <span class="elsevierStyleItalic">et al.</span> (2008)</a> showed that the characteristics of wave-packet propagation in a severe cold surge occurred in South China. <a class="elsevierStyleCrossRef" href="#bib0050">Guo <span class="elsevierStyleItalic">et al.</span> (2010)</a> summarized the propagation and accumulation of wave-packet in a Tibetan heavy snowstorm. The previous studies primarily focused on the influence of kinetic energy or potential energy in the weather and climate system. In this work, we derive the whole energy parameter <span class="elsevierStyleItalic">E</span> from atmospheric energetics theory and discuss the characteristics of atmospheric energy conversion during a heavy rainfall in Sindh, Pakistan. The rest of the work is organized as follows: section 2 describes the data and methods of the analysis used in this paper. The rainfall distributions and characteristics of atmospheric energy conversion are separately illustrated in sections 3 and 4. The characteristics of vapor transportation and energy propagation are shown in section 5. The conclusion follows in section 6.<a name="p3"></a></p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">2</span><span class="elsevierStyleSectionTitle" id="sect0025">Data and methods</span><p id="par0020" class="elsevierStylePara elsevierViewall">In this work we used the NCEP/NCAR FNL (global final analyses) reanalysis data. This dataset has 82 variables, including air temperature, relative humidity, geopotential height, wind, etc. Four-times a day (at 00:00, 06:00, 12:00 and 18:00 UTC), 700 hPa meridional wind and zonal wind on a 1° × 1° grid for the period from August to September 2011 are analyzed. Precipitation data is developed by the National Weather Forecasting Center of the Pakistan Meteorological Department (PMD), and has gone through the quality control procedures of the PMD. It has also been widely used in the study of heavy rainfall in Pakistan.</p><p id="par0030" class="elsevierStylePara elsevierViewall">In terms of atmospheric energetics, the energy can be shown as (<a class="elsevierStyleCrossRef" href="#bib0135">Xie, 1978</a>)<elsevierMultimedia ident="eq0005"></elsevierMultimedia></p><p id="par0035" class="elsevierStylePara elsevierViewall">where <span class="elsevierStyleItalic">C</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">v</span></span><span class="elsevierStyleItalic">T</span> is the atmospheric internal energy, <span class="elsevierStyleItalic">gz</span> is the gravitational potential energy, 12V2 is kinetic energy, and <span class="elsevierStyleItalic">Lq</span> is the latent heat energy.</p><p id="par0040" class="elsevierStylePara elsevierViewall">The heavy rainfall system can be approximated as an energetics system. Internal energy and latent heat is equivalent to the elastic potential energy of wave-packets. During the development period of a heavy rainfall system, the characteristics of atmospheric energy conversion are very significant. Hence, energy <span class="elsevierStyleItalic">E</span> can be expressed as<elsevierMultimedia ident="eq0010"></elsevierMultimedia></p><p id="par0045" class="elsevierStylePara elsevierViewall">where <span class="elsevierStyleItalic">u, v</span> is the wind speed, 12A2 is the elastic potential energy of wave-packets, and <span class="elsevierStyleItalic">W</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">*</span></span> is the perturbation potential energy, which compared to kinetic and elastic potential energy is negligible; therefore, <a class="elsevierStyleCrossRef" href="#eq0010">Eq. (2)</a> can be rewriten as:<elsevierMultimedia ident="eq0015"></elsevierMultimedia></p><p id="par0050" class="elsevierStylePara elsevierViewall">If the kinetic <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span> and elastic potential energy <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">a</span></span> can be calculated, the characteristics of atmospheric energy conversion during a heavy rainfall spell can be analyzed. At last, <span class="elsevierStyleItalic">E</span> is defined as follows:<elsevierMultimedia ident="eq0020"></elsevierMultimedia></p><p id="par0055" class="elsevierStylePara elsevierViewall">From the atmospheric energetics theory and the wave-packet propagation diagnosis (WPD) method (<a class="elsevierStyleCrossRef" href="#bib0025">Chang <span class="elsevierStyleItalic">et al.</span>, 1999</a>), we know that the wave energy is propagating by wave packet envelopes. Thus the wave amplitude <span class="elsevierStyleItalic">A</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">i</span></span> (x, <span class="elsevierStyleItalic">y, z, t</span>) represents the elastic potential energy <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">a</span></span><span class="elsevierStyleItalic">.</span></p><p id="par0060" class="elsevierStylePara elsevierViewall">Meteorological data can be regarded as a combination of different waves. Based on the WPD method, the data can be written as<elsevierMultimedia ident="eq0025"></elsevierMultimedia></p><p id="par0065" class="elsevierStylePara elsevierViewall">where <span class="elsevierStyleItalic">A(x, y, z, t)</span> is the wave amplitude of <span class="elsevierStyleItalic">P(x, y, z</span>, t); <span class="elsevierStyleItalic">k, I, m</span> represent the wave numbers of <span class="elsevierStyleItalic">x, y, z</span> directions, respectively; ω is the circular frequency, and φ is the phase.</p><p id="par0070" class="elsevierStylePara elsevierViewall">By using Hilbert transformation (<a class="elsevierStyleCrossRef" href="#bib0160">Zimin <span class="elsevierStyleItalic">et al.</span>, 2003</a>), the signal <span class="elsevierStyleItalic">P(x, y, z, t)</span> can be transformed to analytic signal Pˆ2(x,y,z,t)<span class="elsevierStyleItalic">.</span></p><p id="par0075" class="elsevierStylePara elsevierViewall">Thus, the amplitude<elsevierMultimedia ident="eq0030"></elsevierMultimedia></p><p id="par0080" class="elsevierStylePara elsevierViewall">From <a class="elsevierStyleCrossRef" href="#eq0030">Eq. (6)</a>, elastic potential energy can be written as<elsevierMultimedia ident="eq0035"></elsevierMultimedia></p><p id="par0085" class="elsevierStylePara elsevierViewall">So, from <a class="elsevierStyleCrossRef" href="#eq0020">Eqs. (4)</a>, and <a class="elsevierStyleCrossRef" href="#eq0035">(7)</a> energy <span class="elsevierStyleItalic">E</span> can be computed and the characteristics of atmospheric energy conversion during heavy rainfall spells may be discussed.</p><p id="par0090" class="elsevierStylePara elsevierViewall">In this work, data have been standardized before calculation, hence the obtained value of energy parameters are dimensionless.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">3</span><span class="elsevierStyleSectionTitle" id="sect0030">Synoptic situation and precipitation distributions</span><p id="par0095" class="elsevierStylePara elsevierViewall">Moisture advection from the Arabian Sea and Bay of Bengal is a primary factor in the heavy rainfall events over Pakistan (<a class="elsevierStyleCrossRef" href="#bib0055">Houze <span class="elsevierStyleItalic">et al.</span>, 2007</a>, <a class="elsevierStyleCrossRef" href="#bib0060">2011</a>; <a class="elsevierStyleCrossRef" href="#bib0080">Medina <span class="elsevierStyleItalic">et al.</span>, 2010</a>; <a class="elsevierStyleCrossRef" href="#bib0100">Rasmussen <span class="elsevierStyleItalic">et al.</span>, 2014</a>). The strong moisture transport leads to an unsteady atmosphere level, which provides a favorable large-scale circulation environment for the devastating rainfall occurring in this region.</p><p id="par0100" class="elsevierStylePara elsevierViewall">The geopotential height anomalies in this three rainfall spells are shown in <a class="elsevierStyleCrossRef" href="#fig0005">Figure 1</a>. The anomalous<a name="p4"></a><a name="p5"></a> circulations are quite prominent on both the 500 and present over the Tibetan Plateau during all three heavy 700 hPa charts. The 500 hPa high pressure area is rainfall spells and is connected with strong ridging and atmospheric blocking in midlatitudes. The low-pressure systems moved over the area of Sindh from the Indian states of Rajasthan and Gujarat, and were significantly enhanced. This caused the southwesterly winds to provide abundant moisture from the Arabian Sea to the flatland regions of central and southern Pakistan. The strong cyclonic circulation was also present at 700 hPa over the north Arabian Sea and the Bay of Bengal. This implies that the westward flow at 700 hPa from the Bay of Bengal transported enormous moisture across the subcontinent into central and southern Pakistan. As a result, most of the precipitation is limited to the southern part of the country, especially in Sindh.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0105" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#fig0010">Figure 2</a> shows the total rainfall distribution in Sindh from August 1 to September 10. The total precipitation of the first rainfall spell was 870.2 mm. The monsoon weather system caused the entrance of strong monsoonal currents in southern parts of Pakistan and produced the first heavy rainfall spell in the region. Chorr, Hyderabad and Mithi received 129, 104 and 291 mm of rainfall, respectively, on August 11. Badin received 148 and 147 mm of rainfall on August 11 and 12, respectively. Some areas of Sindh were still under the grip of this monsoonal weather system on August 30 and 31, when they came under the influence of yet another low pressure, which provoked the precipitation peaks of September 6 to 9.</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0110" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#fig0015">Figure 3</a> shows the normal area-weighted rainfall (NAWR), with the corresponding percentage departure given in <a class="elsevierStyleCrossRef" href="#tbl0005">Table I</a>. The monsoon activity in July was suppressed in most parts of the country. Punjab and Khyber Pakhtunkhwa received rainfall slightly above the NAWR, which was –17.7% for the whole country during the month of July, while August and<a name="p6"></a> September remained the most active months for monsoon rains. As a whole, Pakistan received 58.9% above the normal rainfall in August while in September this figure was 394.9%. For the whole monsoon period (July-September), the country received 71.6% above the normal rainfall. In 2011, Sindh received the heaviest monsoon rainfall in 51 years; in September alone, it received 1177.2% above the normal rainfall.</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">4</span><span class="elsevierStyleSectionTitle" id="sect0035">Characteristics and distributions of atmospheric energy conversion in three rainfall spells</span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">4.1</span><span class="elsevierStyleSectionTitle" id="sect0040">Distributions of kinetic and potential energy</span><p id="par0115" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#fig0020">Figure 4</a> simulates the terrain condictions of Pakistan, which possesses quite complicated physiographical features that include the northern high mountain ranges (the Himalayas, the Karakoram and the Hindukush), the western bordering highlands and the Indus plains.</p><elsevierMultimedia ident="fig0020"></elsevierMultimedia><p id="par0120" class="elsevierStylePara elsevierViewall">More than 50% of the annual total rainfall in Pakistan is received during the summer monsoon season. Rainfall in Pakistan is not only affected by monsoon weather systems but also by terrain characteristics. In the recent past, these areas have also been influenced by severe rainfall events. On July 28, 2003, heavy rainfall swept the whole of Sindh and claimed 84 human lives. The agricultural plains between Karachi and Badin city were inundated with flood water (<a class="elsevierStyleCrossRef" href="#bib0115">Rasul <span class="elsevierStyleItalic">et al.</span>, 2005</a>). On July 29, 2010 the monsoon extended over the northwestern mountainous region of Pakistan and caused heavy torrential rains over Khyber Pakhtunkhwa, Punjab and Sindh provinces (<a class="elsevierStyleCrossRef" href="#bib0005">Akhtar, 2011</a>). These studies demonstrated that during summer monsoons, terrain conditions have a significant role on heavy rainfall events in Pakistan.</p><p id="par0125" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#fig0025">Figure 5</a> shows the distributions of kinetic energy <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span>, potential energy <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">a</span></span> and total energy <span class="elsevierStyleItalic">E</span> in rainfall spells. It is apparent that the value of <span class="elsevierStyleItalic">E</span> (shadings) is very high in Sindh, yet the distributions of <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span> and <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">a</span></span> are different. The value of <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span> is much lower than <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">a</span></span> in the rainfall area and its distribution is influenced by 700 hPa wind field (<a class="elsevierStyleCrossRef" href="#fig0025">Fig. 5a, c, e</a>). The distributions of <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">a</span></span> are similar to <span class="elsevierStyleItalic">E</span> and the heavy rainfall also occurs in this area (<a class="elsevierStyleCrossRef" href="#fig0025">Fig. 5b, d, f</a>).</p><elsevierMultimedia ident="fig0025"></elsevierMultimedia><p id="par0130" class="elsevierStylePara elsevierViewall">By analyzing the distributions of <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span> and <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">a</span></span>, we can infer that the occurrence of heavy rainfall has impacted on its energy conversion process. In this spell, atmospheric energy is unstable due to warm moisture transport from the Arabian Sea and the<a name="p7"></a> Bay of Bengal by the movement of energy. When they arrive in Pakistan, the northern and western high mountain ranges block their movement. In these circumstances, energy is conducive to reflect and accumulate in Sindh. Moreover, heavy rainfall occurs when the <span class="elsevierStyleItalic">E</span> value is greater than or equal to the thresholds, and the rainfall area remains under the grip of high energy values.</p><p id="par0135" class="elsevierStylePara elsevierViewall">Generally, kinetic energy <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span> represents the traveling wave energy and potential eneigy <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">a</span></span> is on behalf of the standing wave energy. Because Sindh province is mainly a plain land that lies between the Punjab plain and the Arabian Sea, the traveling wave energy is blocked by mountains, and then comes back and remains still. Furthermore, with the beginning of rainfall, kinetic energy is continuously converted into potential energy inside the rainfall system; it will lead to high values of energy <span class="elsevierStyleItalic">E</span> for a long period. The peak phase of energy <span class="elsevierStyleItalic">E</span> can lead to the maintenance of a heavy rainfall process for a considerable amount of time. Hence the conversion of mid level atmospheric energy can be a substantial reason for these heavy rainfall spells.</p></span></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">5</span><span class="elsevierStyleSectionTitle" id="sect0045">Characteristics of energy propagation and 850 hPa moisture flux divergence in three rainfall spells</span><p id="par0140" class="elsevierStylePara elsevierViewall">It is well known that sufficient moisture transportation has a major role in heavy rainfall occurrences. <a class="elsevierStyleCrossRef" href="#fig0030">Figure 6</a> shows the characteristics of energy propagation and 850 hPa moisture transportation. The value of 850 hPa moisture flux divergence is above –70(10<span class="elsevierStyleSup">–5</span> g/(cm<span class="elsevierStyleSup">2</span> hPa)) and the ascent motion is also intensive in the rainfall area (<a class="elsevierStyleCrossRef" href="#fig0030">Fig. 6b, d, f</a>). As seen in the profile map of <span class="elsevierStyleItalic">E</span> (<a class="elsevierStyleCrossRef" href="#fig0030">Fig. 6a, c, e</a>), the energy level is always high and its propagation characteristic is obviously present in the three heavy rainfall spells. For instance, extreme heavy rainfall also occurred on August 30 and 31, when the value of energy <span class="elsevierStyleItalic">E</span> (with the zonal distribution shown in <a class="elsevierStyleCrossRef" href="#fig0025">Figure 5c</a>) is above 7. The energy features during the other two spells are also similar to that presented in <a class="elsevierStyleCrossRef" href="#fig0030">Figure 6c</a>. Further analyses show that movement of <span class="elsevierStyleItalic">E</span> indicates the presence of moisture coming from the Arabian Sea and the Bay of Bengal. With <span class="elsevierStyleItalic">E</span> propagating northwesterly, moisture is constantly transported to Sindh, becoming a continuous source of heavy rainfall.</p><elsevierMultimedia ident="fig0030"></elsevierMultimedia></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">6</span><span class="elsevierStyleSectionTitle" id="sect0050">Conclusion</span><p id="par0145" class="elsevierStylePara elsevierViewall">Heavy rainfall is a natural phenomenon, however it becomes a hazard when it causes loss of human life and properties. Pakistan is a rainfall-prone country where the monsoon occurs during July to September every year. However, some scientific questions such as the atmospheric energy characteristics of heavy rainfall in the Indian subcontinent are still unclear. In this work, based on the NCEP/NCAR FNL reanalysis data and the PMD precipitation data, atmospheric energy conversion and the distribution characteristics of heavy rainfall in Sindh during Monsoon 2011 are discussed. The results show that atmospheric energy inter-conversion<a name="p8"></a> played a significant role during this heavy rainfall. When <span class="elsevierStyleItalic">E</span> ≥ 7, the atmosphere jumps from a stable to an unstable condition and heavy rainfall occurs. In addition, the peak phase of energy <span class="elsevierStyleItalic">E</span> can lead to the maintenance of heavy rainfall for a considerable amount of time. Under the inluence of circulation and terrain conditions, mountains blocked kinetic energy during the three rainfall events. Further, with<a name="p9"></a><a name="p10"></a> the beginning of rainfall, kinetic energy was continuously converted into potential energy inside the rainfall system. The distributions of <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">a</span></span> are similar to <span class="elsevierStyleItalic">E</span> and the high-energy value corresponds to the heavy rainfall region.</p><p id="par0150" class="elsevierStylePara elsevierViewall">The analysis of energy <span class="elsevierStyleItalic">E</span> and moisture flux divergence indicates that in these heavy rainfall spells moisture came mainly from the Arabian Sea and the Bay of Bengal. This moisture also provided a favorable condition for the sustained heavy rainfall events. The effect of energy parameter <span class="elsevierStyleItalic">E</span> can be further examined in daily weather diagnosis and can also be used to investigate the causes of heavy rainfall events in different parts of the world. The energy conversion mechanism needs comprehensive research as this may lead to meaningful implications for future weather forecasting.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres816067" "titulo" => "Resumen" "secciones" => array:1 [ 0 => array:1 [ "identificador" => "abst0005" ] ] ] 1 => array:3 [ "identificador" => "xres816066" "titulo" => "Abstract" "secciones" => array:1 [ 0 => array:1 [ "identificador" => "abst0010" ] ] ] 2 => array:2 [ "identificador" => "xpalclavsec813291" "titulo" => "Keywords" ] 3 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 4 => array:2 [ "identificador" => "sec0010" "titulo" => "Data and methods" ] 5 => array:2 [ "identificador" => "sec0015" "titulo" => "Synoptic situation and precipitation distributions" ] 6 => array:3 [ "identificador" => "sec0020" "titulo" => "Characteristics and distributions of atmospheric energy conversion in three rainfall spells" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0025" "titulo" => "Distributions of kinetic and potential energy" ] ] ] 7 => array:2 [ "identificador" => "sec0030" "titulo" => "Characteristics of energy propagation and 850 hPa moisture flux divergence in three rainfall spells" ] 8 => array:2 [ "identificador" => "sec0035" "titulo" => "Conclusion" ] 9 => array:2 [ "identificador" => "xack273898" "titulo" => "Acknowledgments" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2012-12-11" "fechaAceptado" => "2015-06-19" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec813291" "palabras" => array:3 [ 0 => "Heavy rainfall" 1 => "atmospheric energy" 2 => "monsoon" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "es" => array:2 [ "titulo" => "Resumen" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">El monzón del sudeste asiático se presenta todos los años de junio a septiembre en la mayor parte del subcontinente indio, lo cual incluye a Paquistán, la India y Bangladesh. Estos vientos ricos en humedad son forzados a elevarse por la cordillera del Himalaya, lo que ocasiona precipitación extrema en varias partes del subcontinente, especialmente en Paquistán. El objetivo de este estudio es analizar las características y distribución de la conversión de energía atmosférica durante la intensa precipitación registrada en Sindh, Paquistán, durante el periodo agosto-septiembre de 2011. Los resultados muestran que la atmósfera cambia de estable a inestable cuando el valor de la energía es igual o mayor a siete. Bajo la influencia de las circulaciones atmosféricas y las condiciones del terreno, la energía cinética es bloqueada por las montañas y convertida de manera continua en energía potencial dentro del sistema de precipitación. Cuando la fase de energía máxima persiste por un tiempo considerable, puede ocasionar precipitaciones intensas cuya humedad procede principalmente del Mar Arábico y la bahía de Bengala.</p></span>" ] "en" => array:2 [ "titulo" => "Abstract" "resumen" => "<span id="abst0010" class="elsevierStyleSection elsevierViewall"><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">South Asian monsoon occurs in most parts of the Indian subcontinent including Pakistan, India and Bangladesh during the period June to September of every year. These winds rich in moisture are forced to lift by the<a name="p2"></a> Himalayas causing extreme precipitation in different parts of the subcontinent, especially in Pakistan. The aim of this study is to explore the characteristics of atmospheric energy conversion and distribution during the heavy rainfall in Sindh, Pakistan for the period August-September 2011. The results show that when the energy value is greater than or equal to seven, the atmosphere jumps from stable to unstable. Under the influence of atmospheric circulations and terrain conditions, the kinetic energy is blocked by the mountains and is continuously converted into potential energy inside rainfall system. The peak phase of energy persisting for a considerable amount of time can lead to heavy rainfall. Moisture of this heavy rainfall mainly comes from the Arabian Sea and the Bay of Bengal.</p></span>" ] ] "multimedia" => array:14 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 2274 "Ancho" => 1531 "Tamanyo" => 528321 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Geopotential height anomalies in three heavy rainfall spells: (a) 500 hPa from August 9 to 12; (b) 700 hPa from August 9 to 12; (c) 500 hPa from August 29 to 31; (d) 700 hPa from August 29 to 31; (e) 500 hPa from September 7 to 9; (f) 700 hPa from September 7 to 9.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1586 "Ancho" => 1532 "Tamanyo" => 158817 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Total rainfall (a) and distribution (b) in Sindh, August 1 to September 10, 2011.</p>" ] ] 2 => array:7 [ "identificador" => "fig0015" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 674 "Ancho" => 1766 "Tamanyo" => 232309 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">(a) Normal area weighted rainfall and (b) distribution of percentage departures.</p>" ] ] 3 => array:7 [ "identificador" => "fig0020" "etiqueta" => "Fig. 4" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr4.jpeg" "Alto" => 819 "Ancho" => 1224 "Tamanyo" => 336836 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Terrain conditions of Pakistan.</p>" ] ] 4 => array:7 [ "identificador" => "fig0025" "etiqueta" => "Fig. 5" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr5.jpeg" "Alto" => 2064 "Ancho" => 1282 "Tamanyo" => 781841 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Kinetic energy <span class="elsevierStyleItalic">E<span class="elsevierStyleInf">k</span></span> and potential energy <span class="elsevierStyleItalic">E<span class="elsevierStyleInf">a</span></span> of the 700 hPa wind ield in the rainfall spells. Left panel (<span class="elsevierStyleItalic">E<span class="elsevierStyleInf">k</span></span>): (a) August 10, 2011; (c) August 30, 2011; (e) September 8, 2011 (contour: <span class="elsevierStyleItalic">E<span class="elsevierStyleInf">k</span></span>, shadings: E, vector arrow: 700 hPa wind field). Right panel (<span class="elsevierStyleItalic">E<span class="elsevierStyleInf">a</span></span>): (b) August 10, 2011; (d) August 30, 2011; (f) September, 8 2011 (contour: <span class="elsevierStyleItalic">E<span class="elsevierStyleInf">a</span></span>, shadings: <span class="elsevierStyleItalic">E</span>, vector arrow: 700 hPa wind field).</p>" ] ] 5 => array:7 [ "identificador" => "fig0030" "etiqueta" => "Fig. 6" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr6.jpeg" "Alto" => 2437 "Ancho" => 1960 "Tamanyo" => 1139024 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Left panel: 23°-28° N time-longitude profile map of energy <span class="elsevierStyleItalic">E</span> in 700 hPa wind field: (a) August 8 to 10,2011; (c) August 28 to September 10, 2011; (e) September 5 to 10, 2011. Right panel: 850 hPa moisture flux divergence (shaded areas [unit × 10<span class="elsevierStyleSup">–5</span> g/cm<span class="elsevierStyleSup">2</span> hPa]) and vapor flux (arrows): (b) August 10, 2011; (d) August 30, 2011; (f) September 8, 2011.</p>" ] ] 6 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table I" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Region \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">July \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">August \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">September<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">July-September<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Pakistan \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">–17.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">58.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">394.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">71.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Khyber Pakhtunkhwa \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Punjab \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">283.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">47.7 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Balochistan \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">–36.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">395.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Sindh \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">–72.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">271.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1177.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">247.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1371558.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Until September 22.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Percentage departures of the Pakistan monsoon rainfall, 2011.</p>" ] ] 7 => array:6 [ "identificador" => "eq0005" "etiqueta" => "(1)" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:5 [ "Matematica" => "E=CvT+gz+12 V2+Lq" "Fichero" => "STRIPIN_si1.jpeg" "Tamanyo" => 1718 "Alto" => 21 "Ancho" => 190 ] ] 8 => array:6 [ "identificador" => "eq0010" "etiqueta" => "(2)" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:5 [ "Matematica" => "E=Ek+Ea=12(u2+v2)+12A2+W*" "Fichero" => "STRIPIN_si3.jpeg" "Tamanyo" => 2275 "Alto" => 21 "Ancho" => 275 ] ] 9 => array:6 [ "identificador" => "eq0015" "etiqueta" => "(3)" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:5 [ "Matematica" => "E=12(u2+v2|)+12A2" "Fichero" => "STRIPIN_si5.jpeg" "Tamanyo" => 1538 "Alto" => 21 "Ancho" => 159 ] ] 10 => array:6 [ "identificador" => "eq0020" "etiqueta" => "(4)" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:5 [ "Matematica" => "E=Ek+Ea=12(u2+v2)+12A2" "Fichero" => "STRIPIN_si6.jpeg" "Tamanyo" => 1973 "Alto" => 21 "Ancho" => 233 ] ] 11 => array:6 [ "identificador" => "eq0025" "etiqueta" => "(5)" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:5 [ "Matematica" => "P (x,y,z,t)=∑i=1∞Ai(x,y,z,t) cos(kix+liy+miz+ωit+φ)" "Fichero" => "STRIPIN_si7.jpeg" "Tamanyo" => 3915 "Alto" => 70 "Ancho" => 231 ] ] 12 => array:6 [ "identificador" => "eq0030" "etiqueta" => "(6)" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:5 [ "Matematica" => "A (x,y,z,t)=P2(x,y,z,t)+Pˆ2(x,y,z,t)" "Fichero" => "STRIPIN_si9.jpeg" "Tamanyo" => 3007 "Alto" => 20 "Ancho" => 299 ] ] 13 => array:6 [ "identificador" => "eq0035" "etiqueta" => "(7)" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:5 [ "Matematica" => "Ea=12 A2(x,y,z,t)=12P2 (x,y,z,t)+Pˆ2(x,y,z,t)" "Fichero" => "STRIPIN_si10.jpeg" "Tamanyo" => 3756 "Alto" => 59 "Ancho" => 285 ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:32 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "Akhtar, 2011" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The south Asiatic monsoon and flood hazards in the Indus river basin, Pakistan" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "H. 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| 2021 June | 9 | 6 | 15 |
| 2021 May | 18 | 7 | 25 |
| 2021 April | 32 | 11 | 43 |
| 2021 March | 10 | 7 | 17 |
| 2021 February | 12 | 9 | 21 |
| 2021 January | 8 | 10 | 18 |
| 2020 December | 1 | 9 | 10 |
| 2020 November | 8 | 15 | 23 |
| 2020 October | 7 | 8 | 15 |
| 2020 September | 11 | 6 | 17 |
| 2020 August | 13 | 3 | 16 |
| 2020 July | 10 | 2 | 12 |
| 2020 June | 3 | 4 | 7 |
| 2020 May | 6 | 1 | 7 |
| 2020 April | 5 | 11 | 16 |
| 2020 March | 8 | 5 | 13 |
| 2020 February | 4 | 4 | 8 |
| 2020 January | 5 | 5 | 10 |
| 2019 December | 7 | 8 | 15 |
| 2019 November | 1 | 2 | 3 |
| 2019 October | 2 | 3 | 5 |
| 2019 September | 3 | 4 | 7 |
| 2019 August | 0 | 3 | 3 |
| 2019 July | 4 | 5 | 9 |
| 2019 June | 15 | 17 | 32 |
| 2019 May | 45 | 37 | 82 |
| 2019 April | 19 | 14 | 33 |
| 2019 March | 2 | 2 | 4 |
| 2019 February | 2 | 3 | 5 |
| 2019 January | 0 | 2 | 2 |
| 2018 December | 3 | 3 | 6 |
| 2018 November | 0 | 2 | 2 |
| 2018 October | 4 | 2 | 6 |
| 2018 September | 8 | 2 | 10 |
| 2018 August | 3 | 3 | 6 |
| 2018 July | 0 | 1 | 1 |
| 2018 June | 4 | 0 | 4 |
| 2018 May | 5 | 1 | 6 |
| 2018 April | 1 | 0 | 1 |
| 2018 February | 3 | 0 | 3 |
| 2018 January | 1 | 0 | 1 |
| 2017 December | 3 | 0 | 3 |
| 2017 November | 2 | 1 | 3 |
| 2017 October | 3 | 0 | 3 |
| 2017 September | 7 | 1 | 8 |
| 2017 August | 7 | 1 | 8 |
| 2017 July | 1 | 0 | 1 |
| 2017 June | 2 | 1 | 3 |
| 2017 May | 2 | 0 | 2 |
| 2017 April | 1 | 1 | 2 |
| 2017 March | 2 | 2 | 4 |
Show all