• Title/Summary/Keyword: Meteorological Education

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Detection of Water Cloud Microphysical Properties Using Multi-scattering Polarization Lidar

  • Xie, Jiaming;Huang, Xingyou;Bu, Lingbing;Zhang, Hengheng;Mustafa, Farhan;Chu, Chenxi
    • Current Optics and Photonics
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    • v.4 no.3
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    • pp.174-185
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    • 2020
  • Multiscattering occurs when a laser transmits into dense atmosphere targets (e.g. fogs, smoke or clouds), which can cause depolarization effects even though the scattering particles are spherical. In addition, multiscattering effects have additional information about microphysical properties of scatterers. Thus, multiscattering can be utilized to study the microphysical properties of the liquid water cloud. In this paper, a Monte Carlo method was used to simulate multi-scattering transmission properties of Lidar signals in the cloud. The results showed the slope of the degree of linear polarization (SLDLP) can be used to invert the extinction coefficient, and then the cloud effective size (CES) and the liquid water content (LWC) may be easily obtained by using the extinction coefficient and saturation of the degree of linear polarization (SADLP). Based on calculation results, a microphysical properties inversion method for a liquid cloud was presented. An innovative multiscattering polarization Lidar (MSPL) system was constructed to measure the LWC and CES of the liquid cloud, and a new method based on the polarization splitting ratio of the Polarization Beam Splitter (PBS) was developed to calibrate the polarization channels of MSPL. By analyzing the typical observation data of MSPL observation in the northern suburbs of Nanjing, China, the LWC and CES of the liquid water cloud were obtained. Comparisons between the results from the MSPL, MODIS and the Microwave radar data showed that, the microphysical properties of liquid cloud could be retrieved by combining our MSPL and the inversion method.

Development of a Web Page for Real-time Meteorological Observation Data Service Using AWS (자동기상관측시스템을 활용한 실시간 기상 관측 자료 제공 웹 페이지 개발)

  • Kim, Yong-Nam;Seong, Gi-Hong;Hong, Jeong-Hee;Kang, Dong-Il
    • Journal of the Korean earth science society
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    • v.30 no.4
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    • pp.478-484
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    • 2009
  • A web page was developed to enhance students' learning experience in studying meteorological phenomena. After collecting the meteorological elements observed with automatic weather observation system (AWS), it serve real-time meteorological information on demand. Past meteorological information as well as real-time current information can be retrieved because the web page can save and accumulate observed information in its data base. The completed web page was successfully applied in school settings in teaching students meteorology research sections of earth science. The results show that students experienced authentic and meaningful learning through the real-time meteorological information from the web page. In addition, large scale of time was required to observe meteorological phenomena and it hindered practical meteorological research in earth science classes. However, it is expected that the time limitation can be overcome by utilizing accumulated meteorological information of the web page.

Impact of Iron Scavenging and Desorption Parameters on Chlorophyll Simulation in the Tropical Pacific within NEMO-TOPAZ

  • Lee, Hyomee;Moon, Byung-Kwon;Park, Jong-Yeon;Kim, Han-Kyoung;Jung, Hyun-Chae;Wie, Jieun;Park, Hyo Jin;Byun, Young-Hwa;Lim, Yoon-Jin;Lee, Johan
    • Journal of the Korean earth science society
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    • v.42 no.4
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    • pp.390-400
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    • 2021
  • Ocean biogeochemistry plays a crucial role in sustaining the marine ecosystem and global carbon cycle. To investigate the oceanic biogeochemical responses to iron parameters in the tropical Pacific, we conducted sensitivity experiments using the Nucleus for European Modelling of the Ocean-Tracers of Ocean Phytoplankton with Allometric Zooplankton (NEMO-TOPAZ) model. Compared to observations, the NEMO-TOPAZ model overestimated the concentrations of chlorophyll and dissolved iron (DFe). The sensitivity tests showed that with increasing (+50%) iron scavenging rates, chlorophyll concentrations in the tropical Pacific were reduced by approximately 16%. The bias in DFe also decreased by approximately 7%; however, the sea surface temperature was not affected. As such, these results can facilitate the development of the model tuning strategy to improve ocean biogeochemical performance using the NEMO-TOPAZ model.

Validation of Significant Wave Height from Satellite Altimeter in the Seas around Korea and Error Characteristics

  • Park, Kyung-Ae;Woo, Hye-Jin;Lee, Eun-Young;Hong, Sungwook;Kim, Kum-Lan
    • Korean Journal of Remote Sensing
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    • v.29 no.6
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    • pp.631-644
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    • 2013
  • Significant Wave Height (SWH) data measured by satellite altimeters (Topex/Poseidon, Jason-1, Envisat, and Jason-2) were validated in the seas around Korea by comparison with wave height measurements from marine meteorological buoy stations of Korea Meteorological Administration (KMA). A total of 1,070 collocation matchups between Ku-band satellite altimeter data and buoy data were obtained for the periods of the four satellites from 1992 to the present. In the case of C-band and S-band observations, 1,086 matchups were obtained and used to assess the accuracy of satellite SWH. Root-Mean-Square (RMS) errors of satellite SWH measured with Ku-band were evaluated to roughly 0.2_2.1 m. Comparisons of the RMS errors and bias errors between different frequency bands revealed that SWH observed with Ku-band was much more accurate than other frequencies, such as C-band or S-band. The differences between satellite SWH and buoy wave height, satellite minus buoy, revealed some dependence on the magnitude of the wave height. Satellite SWH tended to be overestimated at a range of low wave height of less than 1 m, and underestimated for high wave height of greater than 2 m. Such regional characteristics imply that satellite SWH should be carefully used when employed for diverse purposes such as validating wave model results or data assimilation procedures. Thus, this study confirmed that satellite SWH products should be continuously validated for regional applications.

A Study of the Analysis about Natural Disaster in Elementary Society and Science Textbooks (초등 사회 및 과학 교과서의 자연재해 내용 분석)

  • Kim, Hai-Gyoung;Moon, Byoung-Chan;Oh, Kang-Ho
    • Hwankyungkyoyuk
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    • v.20 no.3
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    • pp.89-101
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    • 2007
  • The purpose of this study was to analysis natural disasters which can be applied environmental education for elementary students. For this study, the elementary society and science textbooks were selected. The results of this study are as follows. the society textbooks contain 2 units of the natural disaster in the 4th and 5th grades. In the science textbooks, 5 units of the natural disaster were showed in 3rd, 5th and 6th grades. The learning quantities were 4 hours in society textbooks and 7 hours in science textbooks. In society textbooks, the contents relating meteorological disasters were dominance. But the science textbooks were showed both meteorological and geological disasters. In aims of learning, while the society textbooks were focused as damages, prevention, counter-plan and restoring plan of the natural disaster, the science textbooks were emphasized damages. the photos in society textbooks, meteorological disasters were superiority in number; especially the flood and heavy rain were 76%. In science textbooks, the photos about earthquake were prominent as 40%. For activating environmental education in elementary school based on these results, it can be suggested that the effects of natural damage as tsunami and global warming should add to elementary textbooks. And the elementary teachers need to understand contents and photos relating environment problem in the elementary textbooks.

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Validation of Sea Surface Temperature (SST) from Satellite Passive Microwave Sensor (GPM/GMI) and Causes of SST Errors in the Northwest Pacific

  • Kim, Hee-Young;Park, Kyung-Ae;Chung, Sung-Rae;Baek, Seon-Kyun;Lee, Byung-Il;Shin, In-Chul;Chung, Chu-Yong;Kim, Jae-Gwan;Jung, Won-Chan
    • Korean Journal of Remote Sensing
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    • v.34 no.1
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    • pp.1-15
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    • 2018
  • Passive microwave sea surface temperatures (SST) were validated in the Northwest Pacific using a total of 102,294 collocated matchup data between Global Precipitation Measurement (GPM) / GPM Microwave Sensor(GMI) data and oceanic in-situ temperature measurements from March 2014 to December 2016. A root-mean-square (RMS) error and a bias error of the GMI SST measurements were evaluated to $0.93^{\circ}C$ and $0.05^{\circ}C$, respectively. The SST differences between GMI and in-situ measurements were caused by various factors such as wind speed, columnar atmospheric water vapor, land contamination near coastline or islands. The GMI SSTs were found to be higher than the in-situ temperature measurements at low wind speed (<6 m/s) during the daytime. As the wind speed increased at night, SST errors showed positive bias. In addition, other factors, coming from atmospheric water vapor, sensitivity degradation at a low temperature range, and land contamination, also contributed to the errors. One of remarkable characteristics of the errors was their latitudinal dependence with large errors at high latitudes above $30^{\circ}N$. Seasonal characteristics revealed that the errors were most frequently observed in winter with a significant positive deviation. This implies that SST errors tend to be large under conditions of high wind speeds and low SSTs. Understanding of microwave SST errors in this study is anticipated to compensate less temporal capability of Infrared SSTs and to contribute to increase a satellite observation rate with time, especially in SST composite process.

Strengthened Madden-Julian Oscillation Variability improved the 2020 Summer Rainfall Prediction in East Asia

  • Jieun Wie;Semin Yun;Jinhee Kang;Sang-Min Lee;Johan Lee;Baek-Jo Kim;Byung-Kwon Moon
    • Journal of the Korean earth science society
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    • v.44 no.3
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    • pp.185-195
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    • 2023
  • The prolonged and heavy East Asian summer precipitation in 2020 may have been caused by an enhanced Madden-Julian Oscillation (MJO), which requires evaluation using forecast models. We examined the performance of GloSea6, an operational forecast model, in predicting the East Asian summer precipitation during July 2020, and investigated the role of MJO in the extreme rainfall event. Two experiments, CON and EXP, were conducted using different convection schemes, 6A and 5A, respectively to simulate various aspects of MJO. The EXP runs yielded stronger forecasts of East Asian precipitation for July 2020 than the CON runs, probably due to the prominent MJO realization in the former experiment. The stronger MJO created stronger moist southerly winds associated with the western North Pacific subtropical high, which led to increased precipitation. The strengthening of the MJO was found to improve the prediction accuracy of East Asian summer precipitation. However, it is important to note that this study does not discuss the impact of changes in the convection scheme on the modulation of MJO. Further research is needed to understand other factors that could strengthen the MJO and improve the forecast.