• Korean Journal of Agricultural and Forest Meteorology
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• v.12 no.4
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• pp.232-237
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• 2010

While global solar radiation is an essential input variable in crop models, the observation stations are relatively sparse compared with other meteorological elements. Instead of using measured solar radiation, the Angstrom-Prescott model estimates have been widely used. Monthly data for solar radiation and sunshine duration are a convenient basis for deriving Angstrom-Prescott coefficients (a, b), but it is uncertain whether daily solar radiation could be estimated with a sufficient accuracy by the monthly data - derived coefficients. We derived the Angstrom-Prescott coefficients from the 25 years observed global solar radiation and sunshine duration data at 18 locations across South Korea. In order to figure out any improvements in estimating daily solar radiation by replacing monthly data with daily data, the coefficients (a, b) for each month were derived separately from daily data and monthly data. Local coefficients for eight validation sites were extracted from the spatially interpolated maps of the coefficients and used to estimate daily solar radiation from September 2008 to August 2009 when, pyranometers were operated at the same sites for validation purpose. Comparison with the measured radiation showed a better performance of the daily data - derived coefficients in estimating daily global solar radiation than the monthly data - derived coefficients, showing 9.3% decrease in the root mean square error (RMSE).

• 한국태양에너지학회:학술대회논문집
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• 2008.11a
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• pp.161-166
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• 2008

The major purpose of this paper is to develop an uncertainty estimate for the calibration of thermopile instruments used to measure solar radiation parameters. We briefly describe the solar radiation parameters most often measured, instrumentation, reference standards, and calibration techniques. The bulk of the paper describes elemental sources of error and their magnitude. We then apply a standard error analysis methodology to combine these elemental error estimates into a statement of total uncertainty for the instrument calibration factor. Our results allow one to evaluate the accuracy of a radiometric measurement using thermopile instrumentation in the light of the application, such as engineering test evaluation or for validation of theoretical models.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.1276-1279
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• 2004

수문순환 과정에서 증발산은 물이 유역으로부터 제거되는 주요 기작으로서, 증발산에 중요한 역할을 하는 식물은 지구 육지 표면의 약 $70\%$ 정도를 점유하고 있으며, 생태계의 가장 중요한 구성인자로서, 식물의 종류 및 군집의 공간적 분포유형, 생육주기 및 형태적 변화 등과 같은 정보들은 그 지역의 기후, 토양, 지질, 지리적 특성을 밝히는데 중요한 역할을 한다. 식생관련 정보 중 엽면적 지수란 단위지표면적당 총 엽면적의 비를 나타내는 것으로 환경생태, 기상, 수문분야에서 다양하게 활용되고 있다. 본 연구에서는 Landsat 위성영상과 DEM 등의 GIS 자료를 이용하여 지형적인 요소를 고려하여 유역의 증발산량을 분포형으론 산정하는 것을 목적으로 하고 있다. 연구대상유역은 한강의 제1지류인 경안천유역으로 하였고, 증발산량 산정에 필요한 기상자료는 월평균기온, 수평면일사량, 상대습도를 이용하였고, 일사량비와 일조시간비 계산을 위해 위도별에 따른 총일조시간과 월평균일사량을 계산하였다. 잠재증발산량 산정은 Penman-Monteith식을 이용하여 산정하였으며, 식생지수와 밀접한 관계가 있는 LAI를 고려하여 산정하였다.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2004.05a
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• pp.32-36
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• 2004

본 연구는 최근 인구와 산업체가 급증하고 있는 김해시를 대상으로 김해시.군을 통합한 1996년 이후부터 2002년까지 김해시 지상오존농도의 변화경향과 고농도 오존일에 대한 사례 연구결과 다음과 같다. 김해시 대기오염농도의 시계열변화는 증가추세가 뚜렷하였으며, 최근 대기환경기준이 강화되면서 환경지정기준을 초과하기도 하였다. 계절별 오존농도의 일변화는 사계절 가운데 봄철이 가장 농도가 높게 나타났으며 매년 증가하는 농도폭도 가장 크게 나타났다. 이는 여름철의 경우 태양고도가 높고 단위시간당 일사량은 많으나, 장마와 같은 운량 증가로 인한 일사량의 감소되거나, 기온이 상승할 경우 해안으로부터 해풍이 증가하여 여름보다는 봄철에 더 높은 농도를 나타낸 것으로 생각되며, 인구와 자동차 등의 증가로 인한 배출량이 증가한 것도 크게 영향을 미친 것으로 생각된다. 연구기간동안 60 ppb 이상의 고농도 오존일의 총 발생빈도는 237일로 나타났으며, 매년 발생빈도가 증가하고 있으며, 대기환경기준 100 ppb/hr를 초과한 날도 8일이나 되었는데, 1999년이 4일 발생하여 오존에 의한 대기오염규제지역으로 선정되었는데, 고농도 오존일은 지난 1997년 이후 매년 증가하고 있으며 겨울을 제외한 전 월에 발생하는 특징을 나타내어 오존의 저감을 위한 실천 계획 수립뿐 아니라 고농도 오존일에 대한 집중적인 연구와 빠른 시간 내에 오존의 예.경보제를 도입 운영하는 것이 김해시민의 건강과 복지에 도움이 될 것으로 생각된다. 고농도 오존일에 대한 사례일 첫 번째인 5월 1일은 일 최고 기온은 그리 높은 상태는 아니었지만 광범위한 이동성 고기압에 의해 대기가 정체하고 바람이 약한 시점에 광화학반응에 의한 오존생성이 용이하였고 해안가의 높은 농도의 오존이 수송되어 고농도 오존이 발생하였으며, 사례 2의 경우 대륙에서 이동해 오는 이동성 고기압의 영향으로 대기는 안정하고 바람이 약하여 기온이 급상승하였으며, 광화학반응에 의한 오존 생성이 용이하였다. 사례 3의 경우는 남북으로 놓여 있는 대규모 기압계 사이에 안상부 형태의 대상고기압이 놓여 대기는 매우 안정하고 바람이 약하며 때때로 기압계에 의한 바람이 불 경우 다소 강한 바람이 불어 일사량이 많은 기압계에서 광화학반응과 수소에 의한 오존생성이 용이하여 고농도 오존을 발생하였다.

• Korean Journal of Remote Sensing
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• v.36 no.3
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• pp.411-423
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• 2020

Localized solar irradiance is normally derived from atmospheric transmission influenced by atmospheric composition and conditions of the target area. Specially, for the area with complex coastal lines such as Taean gun, the accurate estimation of solar irradiance requires for in depth analysis of atmospheric transmission characteristics based on the localized vertical profiles of the key atmospheric parameters. Using MODTRAN (MODerate resolution atmospheric TRANsmission) 6, we report a computational study on clear day atmospheric transmission and direct solar irradiance estimation of Taean gun using the data collected from 3 ground stations and radiosonde measurement over 93 clear days in 2018. The MODTRAN estimated direct solar irradiance is compared with the measurement. The results show that the normalized residual mean (NRM) is 0.28 for the temperature based MODTRAN atmospheric model and 0.32 for the pressure based MODTRAN atmospheric model. These values are larger than 0.1~0.2 of the other study and we understand that such difference represents the local atmospheric characteristics of Taean gun. The results also show that NRM tends to increase noticeably in summer as the temperature increases. Such findings from this study can be very useful for estimation and prediction of the atmospheric condition of the local area with complex coastal lines.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.4
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• pp.256-266
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• 2022

Empirical models including the Angstrom-Prescott (AP) model have been used to estimate solar radiation at sites, which would support a wide use of crop models. The objective of this study was to estimate two sets of solar radiation estimates using the AP coefficients derived for climate zone (AP_Frere) and specific site (AP_Choi), respectively. The daily solar radiation was estimated at 18 sites in Korea where long-term measurements of solar radiation were available. In the present study, daily solar radiation and sunshine duration were collected for the period from 2012 to 2021. Daily weather data including maximum and minimum temperatures and rainfall were also obtained to prepare input data to a process-based crop model, CERES-Rice model included in Decision Support System for Agrotechnology Transfer (DSSAT). It was found that the daily estimates of solar radiation using the climate zone specific coefficient, SFrere, had significantly less error than those using site-specific coefficients S_Choi (p<0.05). The cumulative values of S_Frere for the period from march to September also had less error at 55% of study sites than those of S_Choi. Still, the use of S_Frere and S_Choi as inputs to the CERES-Rice model resulted in slight differences between the outcomes of crop growth simulations, which had no significant difference between these outputs. These results suggested that the AP coefficients for the temperate climate zone would be preferable for the estimation of solar radiation. This merits further evaluation studies to compare the AP model with other sophisticated approaches such as models based on satellite data.

• Korean Journal of Agricultural and Forest Meteorology
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• v.21 no.2
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• pp.85-96
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• 2019

Solar radiation is an important variable for estimation of energy balance and water cycle in natural and agricultural ecosystems. A deep neural network (DNN) model has been developed in order to estimate the daily global solar radiation. Temperature and precipitation, which would have wider availability from weather stations than other variables such as sunshine duration, were used as inputs to the DNN model. Five-fold cross-validation was applied to train and test the DNN models. Meteorological data at 15 weather stations were collected for a long term period, e.g., > 30 years in Korea. The DNN model obtained from the cross-validation had relatively small value of RMSE ($3.75MJ\;m^{-2}\;d^{-1}$) for estimates of the daily solar radiation at the weather station in Suwon. The DNN model explained about 68% of variation in observed solar radiation at the Suwon weather station. It was found that the measurements of solar radiation in 1985 and 1998 were considerably low for a small period of time compared with sunshine duration. This suggested that assessment of the quality for the observation data for solar radiation would be needed in further studies. When data for those years were excluded from the data analysis, the DNN model had slightly greater degree of agreement statistics. For example, the values of $R^2$ and RMSE were 0.72 and $3.55MJ\;m^{-2}\;d^{-1}$, respectively. Our results indicate that a DNN would be useful for the development a solar radiation estimation model using temperature and precipitation, which are usually available for downscaled scenario data for future climate conditions. Thus, such a DNN model would be useful for the impact assessment of climate change on crop production where solar radiation is used as a required input variable to a crop model.

• Korean Journal of Remote Sensing
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• v.32 no.6
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• pp.733-739
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• 2016

Insolation is an major indicator variable that can serve as an energy source in earth system. It is important to monitor insolation content using remote sensing to evaluate the potential of solar energy. In this study, we performed sensitivity analysis of observed frequency on daily composite insolation over the Korean peninsula. We estimated INS through the channel data of Communication, Ocean and Meteorological Satellite (COMS) and Cloud Mask which have temporal resolution of 1 and 3 hours. We performed Hemispherical Integration by spatial resolution for meaning whole sky. And we performed daily composite insolation. And then we compared the accuracy of estimated COMS insolation data with pyranometer data from 37 points. As a result, there was no great sensitivity in the daily composite INS by observed frequency of satellite that accuracy of the calculated insolation at 1 hour interval was $28.6401W/m^2$ and 3 hours interval was $30.4960W/m^2$. However, there was a great difference in the space distribution of two other INS data by observed frequency of clouds. So, we performed sensitivity analysis with observed frequency of clouds and distinction between the two other INS data. Consequently, there was showed sensitivity up to $19.4392W/m^2$.

• Journal of the Korean Solar Energy Society
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• v.35 no.1
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• pp.9-19
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• 2015

Pyranometer have many uncertainty factors (sensitivity function, thermal offset, other spectral effect, geometric, environment, and equipment etc.) than pyrheliometer. The solution for most of the uncertainty factors have been researched, but the problem for thermal offset is being continued research so far. Under the clear sky, due to the thermal offset of pyranometer, the diffuse and global radiation have been negative value for the nighttime and lower value for the daytime, respectively. In order to understand the uncertainty of the thermal offset effect, solar radiation are observed and analyzed using Ji and Tsay method and data from modified pyranometer. As a result of performing temperature correction using the modified pyranometer, the slope (dome factor; k) and intercept ($r_0$) from a linear regression method are 0.064 and $3.457g{\cdot}m^{-2}{\cdot}k^{-1}$, respectively. And the solar radiation is decreased significantly due to the effect of thermal offset during nighttime. The solar radiation from modified pyranometer increased approximately 8% higher than its observed by general pyranometer during daytime. By the way, these results did not generalize because its result is for only single case in clear sky. Accordingly, it is to required for accurate results obtained by the various cases (clear, cloudy and rainy) with longterm observations.

• Korean Journal of Remote Sensing
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• v.14 no.3
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• pp.307-314
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• 1998

To examine the detectability of the yellow sand and/or aerosol from China crossing over the Yellow Sea within the range of OSMI wavelengths(400-900 nm), we have investigated the optical characteristics of aerosols in yellow sand events observed on April, 1998 in Seoul. The spectral reflectance(%) and aerosol optical thickness in the range of Visible(VIS) and near Infrared (NIR) wavelengths were derived from the measurements of solar radiation using the GER-2600 spectroradiometer and sunphotometer during the April, 1798. The average spectral reflectance for the yellow sand events is over 40% and higher around 14:30 than 12:00 LST, but that for clear days is about 20% both at 12:00 and 14:30 LST in the range of 500-900 nm. The aerosol optical thickness at 501 nm varied from 0.25 on very clear day to 1.01 during a so-called "yellow-sand" episode and that for 673 nm varied from 0.14 to 0.92, respectively.