Amount Of Rain Research Articles

Solar Panel Energy With Smart Irrigation System

In today’s climatic conditions such as unprecedented amounts of rain and frequent heat waves, cultivating has become a tedious task. Predicting nature’s next move is not easy but what we can do is minimize its effect on the yield. There are so many regions that receive excessive rainfall, suffer frequent flash floods and scorching heat. To adapt to these conditions, sensor networks can be deployed in the fields and the available resources should be used as efficiently as possible. In order to fulfill this requirement, power storage capable of storing energy efficiently from solar panels and an irrigation controller which monitors the land, be it for farm, gardening or horticulture with little to none intervention in certain aspects. The existing products in the market have proprietary parts, features and they don’t endorse cross-compatibility with other products. Keeping the design open source and easy to work promotes recycling and reparability something essential in the current time of global silicon shortage.
 Farmers or gardeners often don’t know the amount of water and the intervals of irrigation for many exotic and domestic species of plants, they then end up growing crops such as wheat and rice which need flooding of the field, the cultivation of these species can be promoted and be made easy with the project. Telemetry and connected technologies are part of every system these days. The project monitors various parameters and depending on the conditions, will carry out necessary action such as irrigation in only amounts required by the field. This is possible through PWM control of motors coupled with valves.

Quantifying the Relationship between Embedded Rotation and Extreme Rainfall Rates in Observations of Tropical Storm Imelda (2019)

Abstract Previous work on continental convective systems has indicated that there is a positive relationship between short-term rainfall rates and storm-scale to mesoscale rotation. However, little has been done to explore this relationship in dense observing networks or in landfalling tropical cyclone (LTC) environments. In an effort to quantify the relationship between rainfall rates and embedded rotation of this scale, we use several sets of observations that were collected during Tropical Storm Imelda (2019). First, a meteorological overview of the event is presented, and the ingredients that led to its flash flood–producing rainfall are discussed. Then, two analyses that investigate the relationship between rainfall rates and storm-scale to mesoscale rotation in the LTC remnants are examined. The first method relies on products from the Multi-Radar Multi-Sensor system, where two spatial averaging approaches are applied to the 0–2-km accumulated rotation track and gauge bias-corrected quantitative precipitation estimate products over hourly time periods. Using these fields as proxies for rotation and rain rates, the results show a positive spatiotemporal relationship between the two products. The second method time matches subjectively identified radar-based rotation and 5-min surface rain gauge observations. There, we show that nearly twice the amount of rain was recorded by the gauges when storm-scale to mesoscale rotation was present nearby, and the differences in 5-min rainfall observations between when rotation was present versus not was statistically significant. Together, these results indicate that more rain tended to fall in locations where there was rotation embedded in the system. Significance Statement Tornadoes and flash floods frequently occur in unison over the same locations, which can complicate forecasting, warning, and communication efforts within the meteorology community. Previous work has furthered the understanding of the interconnectedness of these hazards by suggesting a relationship between two of their predecessors: storm rotation and rainfall rates. We build on this research by quantifying the relationship of these two processes using observations from Tropical Storm Imelda: a system that brought devastating flooding to southeast Texas in September 2019. Our results show across multiple observational datasets that more rain tended to fall in locations where there was rotation embedded in the tropical storm remnants.

Agricultural contribution with respect to water challenges

AbstractAs our population continues to grow, the demand of a more efficient agriculture system heightens. We work to produce the highest yield possible to cover demands. Are we compromising our water quality for mass food production? In past years, the West Coast growers had been facing increasing struggles to farm with their allotted water often turning to groundwater use. California had to adopt measurements to regulate groundwater usage to protect the environment. The East Coast rain on the other hand faces with increasing amounts of algal blooms product of agricultural runoff derived from the consistent amount of rain received in that part of the country. Different approaches are being used to help reduce agricultural runoff like studies maintaining increased microbial activity in the soil to increase phosphorus uptake and preventing it from reaching waterways. California has passed the Sustainable Groundwater Management Act as an effort to encourage more conscious planning of water available.

The ‘Deluge’ of 25 October 1822 in Genoa, Italy

The ‘Deluge’ of 25 October 1822 in Genoa, Italy

Hydroclimate Drives Seasonal Riverine Export Across a Gradient of Glacierized High‐Latitude Coastal Catchments

AbstractGlacierized coastal catchments of the Gulf of Alaska (GoA) are undergoing rapid hydrologic fluctuations in response to climate change. These catchments deliver dissolved and suspended inorganic and organic matter to nearshore marine environments, however, these glacierized coastal catchments are relatively understudied and little is known about total solute and particulate fluxes to the ocean. We present hydrologic, physical, and geochemical data collected during April–October 2019–2021 from 10 streams along gradients of glacial fed to non‐glacial (i.e., precipitation) fed, in one Southcentral and one Southeast Alaska region. Hydrologic data reveal that glaciers drive the seasonal runoff patterns. The ẟ18O signature and specific conductance show distinctive seasonal variations in stream water sources between the study regions apparently due to the large amounts of rain in Southeast Alaska. Total dissolved solids concentrations and yields were elevated in the Southcentral region, due to lithologic influence on dissolved loads, however, the hydroclimate is the primary driver of the timing of dissolved and suspended yields. We show the yields of dissolved organic carbon is higher and that the δ13CPOC is enriched in the Southeast streams illustrating contrasts in organic carbon export across the GoA. Finally, we illustrate how future yields of solutes and sediments to the GoA may change as watersheds evolve from glacial influenced to precipitation dominated. This integrated analysis provides insights into how watershed characteristics beyond glacier coverage control properties of freshwater inputs to the GoA and the importance of expanding study regions to multiple hydroclimate regimes.

Modelling the Alteration of Medieval Stained Glass as a Function of Climate and Pollution: Comparison between Different Methodologies

Most stained-glass windows installed during the Middle Ages have deteriorated over time due to climate and pollution. To reconstruct their alteration history over the centuries, evaluate the current environmental risk, and predict their alteration in the future, two modelling methodologies have been used. First, based on the short-term exposure of medieval-type glass in different sites, dose–response functions (DRFs) were established. These DRFs correlate relevant environmental factors (temperature, rain quantity, rain pH, relative humidity, and SO2 concentration) with the response of the material in terms of alteration layer thickness. The second methodology consists of laboratory experiments that aim at parametrising kinetic laws as a function of specific parameters (temperature, rain pH, and relative humidity). These kinetic laws can be extrapolated over long periods, contrary to DRFs. In this study, we compared both methodologies to simulate the alteration of a model stained glass at different European sites or over different time periods. The results highlighted that the kinetic laws were able to closely represent the data, except for the polluted sites where the alteration was underestimated. This indicated that the dependence of the alteration rate on the pollutant concentrations should be included to improve the model.

Sensitivity of cloud microphysics on the simulation of heavy rainfall in WRF- a case study for the 7–10 August 2019 event over Kerala, India

This work investigates the mechanism of the extremely heavy rainfall event during 7–10 August 2019 in Kerala. As the skill of WRF model for simulating the heavy rainfall strongly depends on the choice of cloud microphysics (CMP), sensitivity analysis is performed using cloud resolving WRF simulations with different CMP schemes to assess their performance. Total five sensitivity experiments are conducted by varying CMP schemes namely Thompson, Goddard, WSM6, Kessler and Purdue-Lin. Model results along with the fifth generation European Reanalysis (ERA5) data indicate that the heavy rainfall occurred in association with the monsoon depression, intensification of off-shore trough, and low-level jet (LLJ) phenomena and associated moisture transport and convergence. Our results clearly suggest that the heavy rainfall occurred during 7–10 August 2019 was less intensive compared to the August 2018 event. One of the prime reasons for meagre intensity is the presence of the upper tropospheric cyclonic flow over southeast Arabian Sea off Kerala, which reduced the intensity of low-level westerly flow, moisture transport and convection in 2019 event relative to the 2018 event. Comparison of simulated rainfall against station and gridded rainfall data indicate that the spatial and temporal variations of rainfall could be reproduced except that the model slightly over-estimated rainfall at a few stations in the central parts of Kerala. Out of the five CMP schemes, Thompson scheme simulates large amounts of cloud, rain, and snow during the period of peak rainfall with relatively low amounts of ice. Moreover, Thompson indicates a high warming in the 4–6 km layer due to large snow production while Lin and Goddard configurations exhibit altitude shift in this pattern i.e., more heating in the upper troposphere (9–15 km layer) due to producing more solid hydrometeor distributions and associated freezing processes. Among the CMP schemes, Thompson followed by Goddard better simulated the spatial and temporal distribution of rainfall as they produced the strongest convergence, CAPE and vertical motions compared to WSM6, Lin and Kessler schemes. Moreover, the simulated hydrometeor mixing ratios in the 2019 heavy rainfall event are less by 60–80% as compared to that of 2018 due to differences in the synoptic settings.

An I30 focused approach to estimating event erosivity in Australia

Storm erosivity in the Universal Soil Loss Equation is given by the product storm kinetic energy and the maximum intensity measured using a 30-minute window. In some locations, short-term rainfall data are not available to determine these two parameters well. Here it is shown that the estimated kinetic energy per unit quantity of rain for the rain that falls during the time the maximum 30-min rainfall amount is measured can be used, together with rainfall amount, to predict event kinetic energy and hence event erosivity at many locations in Australia. There may be merit in using this approach elsewhere where a lack of short-term rainfall data prevents event erosivity from being predicted accurately.

Estimation of rain amount over global oceans using ambient sound recorded on Argo floats relating to global water cycle studies

Rain over the ocean is a central process in the global freshwater cycle. The freshening of the ocean surface due to rain can be seen in global maps of sea surface salinity, where areas with high precipitation are broadly coincident with areas of low salinity and regions of high salinity occur in regions with low precipitation and high evaporation. The transfer of water from these evaporating regions to the precipitating regions drives the global water cycle, and understanding its dynamics is essential in determining how weather patterns will respond to changes in global climate. Rain is difficult to measure over the ocean due to its spatial and temporal variability and the limitations imposed by rain gauges when mounted on moving platforms. However, the loud and distinctive underwater sound generated by raindrops on the ocean surface can be used to detect and quantify rainfall and to track climate change impacts. The work here will focus on deriving time series of rain rate with temporal resolution on the order of minutes using ambient noise recorded by Passive Aquatic Listener (PAL) on both Argo floats and deep ocean moorings (Nystuen, J., Atmos. Oceanic Tech, 13, 74–84, 1996). [Work supported by NOAA and NASA.]

Predicting Convective Downdrafts From Updrafts and Environmental Conditions in a Global Storm Resolving Simulation

AbstractOne important component of precipitating convection is the formation of convective downdrafts. They can terminate the initial updraft, affect the mean properties of the boundary layer, and cause strong winds at the surface. While the basic forcing mechanisms for downdrafts are well understood, it is difficult to formulate general relationships between updrafts, environmental conditions, and downdrafts. To better understand what controls different downdraft properties, we analyze downdrafts over tropical oceans in a global storm resolving simulation. Using a global model allows us to examine a large number of downdrafts under naturally varying environmental conditions. We analyze the various factors affecting downdrafts using three alternative methods. First, hierarchical clustering is used to examine the correlation between different downdraft, updraft, and environmental variables. Then, either random forests or multiple linear regression are used to estimate the relationships between downdraft properties and the updraft and environmental predictors. We find that these approaches yield similar results. Around 75% of the variability in downdraft mass flux and 37% of the variability in downdraft velocity are predictable. Analyzing the relative importance of our various predictors, we find that downdrafts are coupled to updrafts via the precipitation generation argument. In particular, updraft properties determine rain amount and rate, which then largely control the downdraft mass flux and, albeit to a lesser extent, the downdraft velocity. Among the environmental variables considered, only lapse rate is a valuable predictor: a more unstable environment favors a higher downdraft mass flux and a higher downdraft velocity.

The deposition mapping of polycyclic aromatic hydrocarbons in megacity Shanghai, China.

The deposition of polycyclic aromatic hydrocarbon (PAHs) has far-reaching impacts on Earth's surface system and human health. However, a comprehensive understanding of PAHs' deposition in a high urbanized area is still lacking because of limited field measurements data and rough resolution of current models. In this research, a deposition map of PAHs with a resolution of 2×2km in megacity Shanghai, China was established. Gridded annual total deposition of PAHs from July 2020 to June 2021 ranged from 385 to 10,631ng/(m2·d), with a mean value of 2,611ng/(m2·d). The highest PAHs deposition was found over the downtown Shanghai, which received 4.3 times the deposition flux of outlying areas. About 77 % of area in Shanghai was dominated by wet deposition which accounted for 62 % of total deposition in Shanghai. The total deposition showed a trend of summer>fall>spring>winter, which was similar to that of the amount of rain. Source apportionment and geographically weighted regression analysis showed that built-up land and human activities are key driving factors of PAHs' deposition in Shanghai. Our results suggest that intensive human activities could alter the PAHs deposition distribution in Shanghai, and improve the understanding of PAHs' environmental behavior in high urbanized area.

Recovering, correcting, and reconstructing precipitation data affected by gaps and irregular readings: The Padua series from 1812 to 1864

The aim of this work is to reconstruct the 1812–1864 period of the Padua precipitation series at the daily level, using a local precipitation Log. Missing readings, cumulative amounts, and gaps often affect early precipitation series, as observers did not follow a precise protocol. Therefore, the daily amount and frequency reported in the register of observations are not homogeneous with other periods, neither comparable with other contemporary series, and need a correction. The correction methodology has been based on the daily weather notes written in the Log in parallel to the readings. Taking advantage of periods in which both weather observations and instrumental readings were regularly taken, the terms used to describe the precipitation type and intensity have been classified, analyzed statistically, calibrated, and transformed into numerical values. The weather notes enable the distribution of precipitation to be determined based on the cumulative amounts collected on consecutive rainy days into the likely precipitation that occurred on every single rainy day. In the case of missing readings, the presence of weather notes enables the missing amounts to be estimated using the relationships found previously. Finally, the recovery of additional contemporary documents made it possible to fill some gaps in this period. Using this approach, 52 years of the long Padua precipitation series have been corrected: precipitation collected for two or more rainy days has been distributed according to the actual rainy days; the rain amount fully recovered and most of the missing values reconstructed; the false extreme events corrected.

Effects of subsurface flow on dunefields: Doubling the amount of soil moisture and substantially increasing the biomass of annual plants

Plants in deserts exhibit heterogeneous distribution, which may stem from water redistribution following runoff. However, heterogeneous plant distribution is also common in dunefields regardless of runoff. In the Hallamish dune field in the hyper-arid Negev Desert, dense vegetation belts are noted in loci where an abrupt change in slope angles of uncrusted slopes (interface, IF) occurs, attributed to subsurface flow (SSF). While SSF was previously noted in dunefields, quantification of SSF is problematic, especially in arid regions where precipitation is low, evaporation is high, and the amount of SSF is not sufficiently large to facilitate direct measurement (in water volume). Here indirect measurements of SSF are reported based on near weekly measurements of available water content (AWC) during 2012/13, 2013/14 and 2015/16 at five slope positions along two dune catenas and the adjacent interdunes: flat semi-stable top (TOPs), flat crusted interdune (IDc), semi-stable (NFs) and crusted (NFc) north-facing slope, and IF. In addition, the hydrological rain and monthly surface stability were also measured, and additionally plant characteristics (cover, number of species, density, and biomass) were used as indicators for AWC. Higher AWC characterized the uncrusted slope positions (especially at IF) in comparison with crusted slope positions of similar slope angles. Although receiving the lowest amount of rain, AWC at IF was ∼ 2-fold higher than at most other slope positions, resulting in ∼ 3- to 5-fold higher cover and biomass, serving therefore as 'islands of fertility'. As verified by the Generalized Linear Regression Model, plant performance was mainly dictated by AWC and to a lesser degree by surface stability. Our findings may have broader implications for water redistribution in other dunefields, where a unique distribution of water has at times been attributed to factors such as the effect of biocrusts on infiltration rather than to SSF.

Modeling the Rainfall Exploitation of the Reservoirs in Malaga Province, Spain

In areas with scarce water resources, it is so important to analyze the connection between the different elements of a river basin and the water collected by the basin’s reservoir, to determine and predict the spatial and temporal variability of water on it. In this paper, we use the basic principles of hydrological modelling to develop a model for the exploitation of rainfall in reservoir basins in the province of Malaga, Spain. The monthly water input data of the seven reservoirs in the province of Malaga, provided by the Hidrosur Network of the Automatic Hydrological Information System (SAIH), as well as the precipitation and daily temperature of the stations of the State Meteorological Agency (AEMET) associated with the basins of each of these reservoirs were used. We assume that the entrance to a reservoir in a given month must depend on the precipitation produced in its watershed (both the amount of rain and the intensity with which it fell), the precipitation collected from the previous months (and the way in which it was produced) and the evapotranspiration produced during that period. For each reservoir, we propose a model with nine parameters to simulate the arrival of rainfall to the reservoir, covering aspects from the amount and intensity of rain, past and present, to the level of evapotranspiration on a given area for a given date. These nine parameters are optimally adjusted through an artificial intelligence algorithm to maximize the correlation between real and simulated contributions. The results show how this model, adjusted for each reservoir, will let us predict how changes in the rainfall and temperature patterns, predicted, for example, by the IPCC models, will affect the future water levels at the studied reservoirs.

Contribution of Climate Scenarios RCP4.5 and RCP8.5 to the Study of Climate Change Impacts on Cocoa Farming in Côte d’Ivoire

In the particular context of climate change in Côte d’Ivoire and the vulnerability of farmers to its effects, one of the major issues is how these changes could impact cocoa yields of cocoa production areas. Thus, the objective of this study is to sustainably increase the resilience of all cocoa farming stakeholders to the impacts of climate change. The study was carried out in the central and southern areas of Côte d’Ivoire with a focus on eleven localities that have many communities of cocoa producers and a humid climate. The rainfall and temperature observation data using come from the CRU, they cover the historical period from 1971 to 2000 at 0.5o × 0.5o horizontal scale. As for the RCP4.5 and RCP8.5 climate scenarios, they come from the CORDEX database and cover the 2021-2050 period. The methodology is based on the calculation of climatic indices sensitive to cocoa cultivation which are the number of consecutive dry days (CDD), the number of consecutive wet days (CWD), the amount of rain during the rainy season and the maximum temperature above 33℃. The results show that for all the localities studied, indices such as CDD and CWD could experience an increase. In addition, the total amount of rain during the long rainy season (April to June) is calculated on the basis of the threshold of 700 mm representing the minimum annual precipitation during the rainy season necessary for good growth of the cocoa tree. It reveals that for the two scenarios the cumulative rainfall will all be greater than 700 mm. Regarding temperatures, the central and southern areas could have a low number of hot days (temperature greater than or equal to 33℃ which is the tolerable threshold for cocoa cultivation). The eleven localities, therefore, remain favorable areas for cocoa cultivation in terms of climatic conditions based on temperature and rainfall, despite the regional dimension of the effects of climate change and the associated constraints.

A brief overview of the studies on the climatic impact of heavy precipitation events in Hungary

Climate change is one of the major problems of our day. In different areas of the earth, climate change causes different problems. On the European continent, according to observations, the dry and rainy periods have changed significantly. During rainy periods, the amount of water from the rain falling in a short period increased significantly. The authors' research focused on a smaller East-European area, Hungary. A significant part of damage events in Hungarian settlements is related to surface and underground waters and rainfall activity. The road network, the cellars and the gutters of municipalities are often subject to damage due to the inappropriate construction of the drainage system. The article analyzes the local effects of climate change based on the analysis of the weather data of the past years. The change in the number of rainy days and the amount of rain is evidence of a change in the weather. This work is an overview based on previous studies and statistical data showing the climatic impact in Hungary.

ЗМІНИ ВОДНО-БАЛАНСОВИХ СКЛАДОВИХ В МЕЖАХ ЛІВОБЕРЕЖЖЯ СЕРЕДНЬОГО ДНІПРА ЗА 1961-2020 рр.

The article examines the changes in water balance components within the left bank of the Middle Dnipro during two hydroclimatic periods, 1961-1990 and 1991-2020. The research also covered six key river basins on the left bank of the Middle Dnipro, including Psel, Sula, Vorskla, Trubizh, Supii, and Zolotonoshka. The examination of the modifications in the components of the water balance during the period of the climatic norm from 1961-1990 and the modern climatic period from 1991-2020 revealed a decrease in the average long-term values of precipitation in general by -7.3 mm, river runoff by -5.2 mm, and total evaporation by -2.1 mm. The amount of rain on the left bank of the Middle Dnipro was different in each river basin. In the Psel and Sula basins, there was a significant increase in precipitation, with a difference of 18.4 mm and +0.9 mm, respectively. In the Vorskla, Zolotonoshka, Trubizh and Supii basins, there was less rain by -2.2 to -51.7 mm. The opposite scenario was observed in the variation of total evaporation in the respective river basins. Thus, in the three largest river basins of the Psel, Sula and Vorskla, it increased from 5.6 to 26.7 mm, in all other basins the total evaporation decreased from -0.3 to -47.6 mm. But despite various changes in precipitation and total evaporation, there is a reduction in the volume of river runoff from -1.6 to -8.6 mm. The negative dynamics of river runoff indicators are attributed to negative cumulative values of precipitation and total evaporation. The main cause of these changes is the increase in the average annual air temperature across all studied basins by +1.2 °C, leading to an increase in climate aridity indicators within the left bank of the Middle Dnipro by +0.9 %. Similarly, there was a drop in the runoff coefficient by 0.9 %. In essence, changes in water balance components in the studied area result in more water volume from atmospheric precipitation going towards total evaporation, leading to a loss of the water volume that forms river runoff. This serves as a clear example of the influence of the global increase in air temperature on the reduction of water volume in rivers within the left bank of the Middle Dnipro.

Fire on a tropical floodplain: a fine-scale fire history of coastal floodplains in the Northern Territory, Australia

Background The coastal floodplains of northern Australia are fire-prone, but the impact of fire on floodplain biota is not well understood. Aims In this study, we sought to characterise the fire history of six adjacent floodplains in coastal Northern Territory, Australia. Methods We built a fine-scale 31-year fire history (1988–2018) to compare fire regimes on floodplains across land tenures and floodplain fire regimes with the surrounding savanna fire regime, determine the extent to which current fire regimes are meeting existing ecological fire thresholds, and investigate the relationship between rainfall totals and the extent of burning. Key results Floodplains in conservation reserves burnt more frequently than those on pastoral lands, and savannas burnt more often than floodplains. Current floodplain fire regimes comfortably meet existing ecological fire thresholds. The proportion of floodplain burning is inversely proportional to the amount of rain in the previous wet season. Conclusions Floodplain fire regimes vary markedly between land-use types, and floodplain fire regimes differ to those of savannas. The current management thresholds for floodplain fire regimes would benefit from further evidence of conservation outcomes. Implications For more effective floodplain fire management, research is needed to generate floodplain-specific thresholds that best conserve their considerable conservation value.

비행청소년의 분노 표현과 지각된 스트레스에 따른 빗속의 사람(PITR)그림 반응특성 연구

This study aimed to find out whether the PITR test can be used as a psychological test tool to evaluate the anger expression and perceived stress response of delinquent adolescents. The subjects of the study were 223 vocational training youths located in G city, and the study tools were a person in the rain (PITR) picture test, anger expression checklist, and perceived stress checklist. For data analysis, independent sample t-test was performed by using SPSS 25.0. The research results are as follows. First, in the response characteristics of the person in the rain (PITR) picture test for the anger expression of delinquent youths, significant differences are confirmed in the amount and intensity of rain, the intensity of wind, and the number of lightning. And in the response of coping resources, significant differences were found in the number of direct protection, adequacy of indirect protection, facial expression, and overall figure. Second, in the response characteristics of the person in the rain (PITR) picture test for the perceived stress of delinquent youths, meaningful differences resulted from the amount of rain, the strength of wind, the relationship between lightning and people, and the relationship between people and puddles. In response to coping resources, there are significant differences in the appropriateness of direct protection, the appropriateness of indirect protection, facial expression, and stroke. Based on the above research results, we could verify that the person in the rain (PITR) picture test is useful as a tool to evaluate anger expression and perceived stress in juvenile delinquents.

Evaluation of Geopotential Height at 500 hpa with Rainfall Events: A Case Study of Iraq

The geopotential height at 500 hPa is a key factor in determining the weather and climate conditions around the world. This paper aims to study the effect of 500hpa geopotential height in Iraq weather from a synoptic perspective and evaluation the variation at 500hpa geopotential height. On (26-29 January 2013), a case of atmospheric instability affected Iraq, where a heavy amount of rain fell over Iraq on 28 January 2013, the amount of rain that fell on Kirkuk was about (72.2mm). The result showed that when the upper-level trough stretches from Europe towards the Mediterranean, it will enhance surface low pressure. In addition, the advection of moisture from lower latitudes resulted in a situation of instability that brought severe rain to Iraq. during this period the value of geopotential height decreased sharply. The decrease in the value of geopotential height is an indicator of turbulent weather when compared to surrounding regions.