초록 ▼

위성자료의 기후활용을 위하여 다양한 지구 물리 변수들을 산출 및 분석함
I. 온습도 연직분포
- 적외 초분광 위성 AIRS를 활용하여 동아시아 지역에 최적화 되어있는 온습도 연직분포 산출 알고리즘 개발

II. 강수
- TRMM 위성의 수동마이크로파(TMI)와 강수레이더(PR)를 활용하여 강수구름의 관측이 부족한 한반도를 비롯한 주변 해양에서의 여름철 강수 특성 및 시·공간적 변동성 연구
- 기후 분석 및 예측에 적합한 시·공간적 규모에서의 위성강수 산출 이론 및 알고리즘 개발

III.

위성자료의 기후활용을 위하여 다양한 지구 물리 변수들을 산출 및 분석함
I. 온습도 연직분포
- 적외 초분광 위성 AIRS를 활용하여 동아시아 지역에 최적화 되어있는 온습도 연직분포 산출 알고리즘 개발

II. 강수
- TRMM 위성의 수동마이크로파(TMI)와 강수레이더(PR)를 활용하여 강수구름의 관측이 부족한 한반도를 비롯한 주변 해양에서의 여름철 강수 특성 및 시·공간적 변동성 연구
- 기후 분석 및 예측에 적합한 시·공간적 규모에서의 위성강수 산출 이론 및 알고리즘 개발

III. 에어로졸
- 동아시아 지역에서 관측을 수행한 과거, 현재, 미래의 정지궤도 및 극궤도 위성 센서에 적용 가능한 에어로졸 산출 알고리즘 개발
- 비구형성 및 흡습성장 특성 고려한 신 에어로졸 모델 개발하여 산출 알고리즘 정확도를 개선하고, 에어로졸의 복사강제력을 산출

IV. 지면정보
- SPOT/VGT의 red와 NIR 위성자료를 이용하여 광대역알베도 산출을 위한 원천기술 획득 및 한반도에 적합한 LAI 산출
- MODIS 자료를 이용한 COMS 관측 영역의 지면피복, 방출률 자료를 개선 및 COMS LST의 산출 수준 향상
- 고해상도 위성영상 기반의 토지피복 및 지표형상 정보 DB 구축과 격자형 기후자료 생산
- COMS를 활용한 산불탐지 알고리즘 개발과 위성산출물의 자료처리를 지원하는 오픈API를 개발

Abstract ▼

Ⅳ. Results
○ Temperature&moisture profile
- T/q profile retrieval algorithm on clear sky regions
1. Developing the statistical T/q retrieval algorithm which optimized over the East Asia with moving window method
2. Modifying the accuracy of T/q retrieval algorithm by using physical metho

Ⅳ. Results
○ Temperature&moisture profile
- T/q profile retrieval algorithm on clear sky regions
1. Developing the statistical T/q retrieval algorithm which optimized over the East Asia with moving window method
2. Modifying the accuracy of T/q retrieval algorithm by using physical method with appropriate channel selection, error contrivances.

- T/q retrieval algorithm on cloudy sky regions
1. Developing initial cloud information estimator using artificial neural network method
2. Developing the statistical T/q retrieval algorithm which optimized over the East Asia with cloud top height classification

- Validating the retrievals by using temporally and spatially collocated ECMWF reanalysis data

○ Rain
- Comparison of the TRMM Microwave Imager and Precipitation Radar Rain
1. Compared to PR rain, TMI rain has systematic biases which are a function of precipitation type and geographical region.
2. Performed the relations between rain intensity and TMI TBs in the TB EOF space.

- Climatological characteristics of rainfall system and its annual variation in East Asia during summer
1. During Changma, in general, stronger rain takes place and the atmospheric environments require lifting forcing mechanism to overcome the CIN energy in developing convective clouds, compared to post-Changma period. After Changma, the increased convective fraction are not necessarily indicative of more frequent vigorous convective activities. It appears to be due to the reduction of staratiform clouds.
2. Longwave radiation seems to be closely related to intraseasonal variability of rainfall occurred over the Korean Peninsula.

- Development of microwave rainfall retrieval algorithm for climate applications
1. Optimal spatial resolution for climate rainfall retrieval has been reviewed through analysis of the different linearities of the rain rate and brightness temperature relationships depending on different spatial resolutions.
2. METH algorithm has been applied to SSM/I and SSMIS data with main parameters adjustments for the successful transition of SSM/I to SSMIS.
3. A-priori DBs were constructed using measurements and numerical models, and an inversion module was also developed based on the Bayesian method.

- Retrievals from METH and the developed rainfall algorithm based on a-priori DB were statistically validated by comparing with other rain products, and algorithm has been improved to better match with the other products.

○ Aerosol
- Development of aerosol retrieval algorithm applicable to past, present and future geostationary and polar-orbiting satellites for climate studies.
1. Investigated the satellite sensor/channel characteristics for aerosol retrieval and the convoluted impacts of the surface and atmospheric properties on aerosol retrievals.
2. Developed cloud-detection algorithm, investigated the methods to infer surface reflectance, and derived the aerosol optical property models for aerosols in East Asia.
- Studied methodology to compare satellite-based aerosol products against ground-based aerosol data by considering the representativeness of each data set, and compared the retrieved aerosol data with existing satellite-based aerosol products to validate the retrieval algorithm developed in this study for climate applications.

- Development of dynamic aerosol models with consideration of nonsphericity and hygroscopic growth
1. Dynamic aerosol model development using AERONET Inversion data and nonsphericity characteristics and sensitivity test of new aerosol model for satellite signal using radiative transfer model
2. Improvement of MODIS aerosol retrieval algorithm using new aerosol models and long-term validation using AERONET
3. Retrieval and analysis of aerosol radiative forcing using new aerosol models and MODIS ocean aerosol retrieval algorithm
4. Development and evaluation of GOCI aerosol retrieval algorithm using new aerosol models, and design and test of MI cloud products for GOCI aerosol retrieval

○ Surface parameters
- Acquisition of fundamental technology for broadband albedo estimation
1. Black sky & White sky albedo estimation using kernel integration of BRDF and inversion coefficients
2. Derivation of a conversion equation using statistical analysis from the relationship of spectral albedo and broadband reference data

- Derivation of LAI estimation method suitable for Korean peninsular and LAI estimation
1. Determination of a LAI estimation proto-type equation using sensitivity analysis between various LAI estimation algorithm
2. Retrieval LAI estimation equation using a correlation between reference vegetation indeces

- Correction of NDVI over East Asia and Oceania region
1. Improvement of NDVI DB through the detection and correction of NDVI contaminated by cloud and snow
2. Construction of corrected MODIS NDVI DB over East Asia with 1km and 8-day through the application of improved detection and correction algorithm of NDVI

- Improvement of land cover and emissivity data over East Asia and Oceania region
1. Development of 4 channels emissivity DB (3.7, 8.7, 11, 12 ㎛) with 1km resolution and 8-day period by the combined use of improved land cover map and NDVI

- Improvement of LST retrieval algorithm and development of application method
1. Development 6 LST retrieval algorithms based on the day/night and amount of water vapor
2. Analysis of spatio-temporal variations of surface urban heat island over the mega cities including Seoul using the LST retrieved from COMS and land cover map

- Generation of high resolution ground information data over Korean Peninsula and East Asia
1. Database was constructed with thematic maps related with ground information for generation of gridded climate data
2. Thematic map that has been created is elevation map, facet map, coast map were generated, and mask data of Korean Peninsula and East Asia, slope map, land cover map were generated as additional data. The spatial resolution of each thematic map is 30m x 30m, and the size of map is 27,331x40,858 pixels(Korean Peninsula) and 2,370,801×370,801pixels(East Asia)

- Relationship between population and changes in Warmth and Coldness indices in South Korea
1. Investigates the relationship between temporal trends of Warmth and Coldness indices and population in South Korea
2. Mann-Kendall test as a non-parametric method employed for the trend analysis and Thei-Sen estimator (Sen’s slope) for estimating the correlation of the trend

- Mapping of temperature and rainfall using DEM and multivariate kriging(South Korea)
1. Potential of cokriging method combined with the elevation data in high resolution spatial mapping of temperature and rainfall based on sparse weather station observations was evaluated
2. Cokriging is more effective method for the construction of high resolution meteorological data which well reflect topographic effects

- Geostatistical Analysis of Monthly Temperature Distributions using Topographic Data : A Case Study around Jirisan Areas
1. Generate time-series temperature maps and analyze the characteristics of temperature distributions in Jirisan areas using topographic data and geostatistics
2. Topographic data can also be a useful information source for reliable temperature mapping

- Analysis of Yearly Mean Vegetation Index Using SPOT-VGT S10 NDVI Data in Chungcheongnam-do, South Korea
1. Generate of YMNDVI(Yearly Mean Normalized Difference Vegetation Index) in Chungcheongnam-do was calculated using S10 NDVI data of the vegetation sensor for SPOT 4 and 5
2. Variation coefficient of the mean value of Chungcheongnam-do was 4.2%, while the overall value was also not that high

- Prediction of land-cover Change using RFF model and spatial information data
1. Analyzes the land-cover patterns, with spatial calculation of land-cover changes based on land-cover spatial information data and multi-temporal satellite imagery, for Cheonan-Asan City represented in pixel units
2. Relatively accurate prediction with an overall accuracy of 90.44% of the land-cover change prediction algorithm

- Satellite based fire/hotspot detection
1. Method for wildfire candidate selection and false alarm exclusion for daytime and nighttime and the wildfire detection using MODIS
2. Wildfire detection using COMS and MTSAT-2 and the implementation of smartphone apps for providing wildfire information
3. More efficient computation and validation of wildfire detection and the analyses of fire radiative power

- Open API for land surface product
1. Implementation of spatiotemporal objects and functions in DBMS and the prototyping of open API and data service
2. Coupling of the open API and multiple DBMSs and the study of metadata management for satellite products
3. Development of a prototype service and open API library for big satellite data