National Progress Reports in Agrometeorology

The WMO Secretariat prepared and circulated a detailed questionnaire for the preparation of National Reports on Progress Made in Agricultural Meteorology by Members per Recommendation 1 of CAgM-XIV. In accordance with this recommendation, the WMO Secretariat will continue to compile the information in a comprehensive database to make it available to members.

2006-2009

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Korea, Republic of

  1. Part 1 - Organization
    1. 1.1. Number of institutions engaged in Agrometeorology-related work in your country .....3
    2. 1.2. Resources and Facilities (please give number)
      1. 1.2a. Approximate no. of persons in Agricultural Meteorology
        1. NMHS
          1. - Total Number .....40
          2. - Class I-II .....26
          3. - Class III-IV .....12
          4. - Others .....2
          5. - PhD .....30
      2. 1.2b. Facilities available to Agricultural Meteorology Division
        1. NMHS
          1. - Mainframe computers .....4
          2. - Personal computers .....30
          3. - Geographic Information Systems (GIS) .....4
          4. - Remote Sensing and Image Analysis .....1
    3. 1.3. Training and Education (Training and Education of Agricultural Meteorology personnel since 1999)
      1. NMHS
        1. - No of persons who received advanced degrees (M.Sc, Ph.D) .....30
        2. - No of persons who attended long term training courses .....5
        3. - No of persons who attended short term seminars, workshops (1-2 weeks) .....110
  2. Part 2 - Agrometeorological Observations
    1. NMHS
      1. Prior to 2006 (num)
        1. - Number of stations in the network of agrometeorological observations .....50
        2. - New instruments added .....40
        3. - Automatic weather stations in use .....50
      2. Current (2009) (num)
        1. - Number of stations in the network of agrometeorological observations .....200
        2. - New instruments added .....160
        3. - Automatic weather stations in use .....200
  3. Part 3 - Agrometeorological Services for Agriculture
    1. 3.1. Service structure (Indicate where agrometeorological services are located in your country)
      1. - Is the agrometeorological service constituted as a separate unit? .....Yes
      2. - Is the agrometeorological service at headquarters only? .....No
      3. - Are there agrometeorological services in different regions? .....Yes
    2. 3.2. Please list the agrometeorological products and other services for agriculture products provided by your service
      Digital Climate Map (DCM) in 30~270 m of spatial resolutions with derived products

      Nowcast-based and Real time basis plant disease and insect prognosis services

      DCM based IPCC SRES scenarios in high resolution on the Korean Peninsular

      National crop status projection systems (jointly with rural economy institute)

      Decadal & Monthly summary of key agrometeorological weather elements

      Real time agrometeorological weather observation data with spatial interpolations

      Diverse indices for drought, temperature extremes,

      National plant phenology monitoring information

      Crop status monitoring (currently only limited to apples)

      Various documented information on WMO Agmet guide, cited references, books, etc. on the Web
    3. 3.3. Types and forms of service provided by the agrometeorology unit
      1. - Bulletins .....Yes
      2. - Brochures .....Yes
      3. - Radio and TV .....Yes
      4. - Press releases .....Yes
      5. - Workshops and seminars .....Yes
      6. - Interactions with farmers and/or farmer groups .....Yes
    4. 3.4. Agrometeorological Information on the Internet
      1. - Does your service have an Internet web page?
        http://www.ncam.kr
      2. - Specify the agrometeorological products posted on your website
        Digital Climate Map (DCM) in 30~270 m of spatial resolutions with derived products

        Nowcast-based and Real time basis plant disease and insect prognosis services

        DCM based IPCC SRES scenarios in high resolution on the Korean Peninsular

        National crop status projection systems (jointly with rural economy institute)

        Decadal & Monthly summary of key agrometeorological weather elements

        Real time agrometeorological weather observation data with spatial interpolations

        Diverse indices for drought, temperature extremes,

        National plant phenology monitoring information

        Crop status monitoring (currently only limited to apples)

        Various documented information on WMO Agmet guide, cited references, books, etc. on the Web
    5. 3.5. Collaboration with other organizations (including important achievements)
      1. 3.5a. Please list the names of the governmental ministries/institutions that your service collaborated with during 2002-2005
        Korea Meteorological Administration / Ministry of Environment

        Rural Development Administration / Ministry of Agriculture, Forest, Marine, Food

        Korea Forest Service / Ministry of Agriculture, Forest, Marine, Food

        Seoul National University / Ministry of Education, Science & Technology

        Agricultural Monitoring Center / Korea Rural Economy Institute

        Korea Institute of Science, Technology & Information

        Rural Research Institute / Korea Rural Community Corperation
      2. 3.5b. Please list the names of the non-governmental organization (NGOs) that your service collaborated with during 2002-2005
        National Farmers Council
    6. 3.6. Media interaction: routinely/in person
      1. - Television .....Yes
      2. - Radio .....Yes
      3. - Electronic .....Yes
      4. - Newspaper/magazine .....Yes
    7. 3.7. Awareness and training events conducted with
      1. - Cooperatively with other Ministry or Sector .....Yes
      2. - Cooperatively with other University .....Yes
      3. - Cooperatively with NGO .....No
      4. - At regular intervals? .....Yes
      5. - Do meteorologists/climatologists attend with sector reps.? .....Yes
  4. Part 4 - Agrometeorological Research
    1. Please indicate the agrometeorological research conducted in your service
      1. 4.1. Influence of meteorological factors on the growth, development, yield and quality of agricultural crops .....Yes
      2. 4.2. Development of methods for agrometeorological forecasting and assessment of present condition .....Yes
      3. 4.3. Linkage between agrometeorological models and atmospheric forecast and general circulation models .....Yes
      4. 4.4. Development of applications using seasonal to interannual predictions in agriculture .....No
      5. 4.5. Macroclimatic, mesoclimatic and microclimatic research .....Yes
      6. 4.6. Influence of meteorological factors on livestock husbandry .....No
      7. 4.7. Influence of meteorological and climatological factors on inland coastal and marine fisheries .....No
      8. 4.8. Protection of plants and livestock against adverse weather .....Yes
      9. 4.9. Agrometeorological conditions for the development of crop and livestock pests and diseases .....Yes
      10. 4.10. Research on the impact of agricultural activities that possibly influence weather and climate at local, national, and global levels .....Yes
      11. 4.11. Research on remote-sensing application in agrometeorology .....Yes
      12. 4.12. Research into agrometeorological aspects of drought and desertification .....Yes
      13. 4.13. Research on potential impacts of climate change/variability on national agriculture, rangelands, forestry, and fisheries .....Yes
      14. 4.14. Research on mitigation and adaptation strategies due to impacts of climate change/variability and natural disasters in agriculture .....Yes
      15. 4.15. Research on the impact of natural disasters on agriculture, rangelands, forestry, and fisheries .....Yes
      16. 4.16. Research on fire weather agrometeorology .....Yes
  5. Part 5 - Socio-Economic Benefits
    1. - Please list any case studies demonstrating the socio-economic benefits of your agrometeorological service.
      Carbon/water budget & Meteorological studies at a crop land in Haenam, Korea (on-going)

      Carbon/water budget & Meteorological studies at a rice paddy in Cheongmicheon, Korea (on-going research)

      Carbon/water budget & Meteorological studies at a rice paddy in Boseong, Korea (plan)

      Prediction of crop production and agro-ecosystem changes using U-IT, remote sensing, and GIS(‘09~’11)

      Korea-specific climate change research under the satellite-ecological approach(‘10~’12)
      - Carbon storage estimation in agricultural land of Korea
  6. Part 6 - Models
    1. - Information on practical crop-yield models, irrigation, disease/pest model, etc. (even if they are in the initial stages of development). Please list the ten most-used models in your service.
      DSSAT

      AMBER

      Arc View, ENVI/ERDAS

      EPIC, SWAT, WEPP

      NOAH-LSM, VIC, SIB2

      PRISM (Parameter-elevation Regressions on Independent Slopes Model)
      g ) BLAST

      SHBLIGHT

      ORYZA

      Frost early warning model
  7. Part 7 - Drought Indicies
    1. - Please list the five most-used drought indices in your service.
      SPI (Standardized Precipitation Index)

      PDSI (Palmer Drought Severity Index)

      Soil Moisture Index (http://ruralwater.snu.ac.kr/ruralwater.html)

      MSWSI (http://drought.kwater.or.kr)

      SWSI (http://www.drought.re.kr)
  8. Part 8 - Societies
    1. - Please list any agricultural meteorology societies active in your country.
      The Korean Society of Agricultural and Forestry Meteorology
  9. Part 9 - Bibliography
    1. - Please provide a short bibliography of relevant papers/reports published by your service.
      Chung, U., J. E. Jung, H. C. Seo, and J. I. Yun, 2009. Using urban effect corrected temperature data and a tree phenology model to project geographical shift of cherry flowering date in South Korea. Climatic Change 93, 447~463

      Chung, U., H. C. Seo, J. I. Yun, S. J. Jeon, K. H. Moon, H. H. Seo, and Y. S. Kwon. 2009. Extrapolation of daily maximum temperature in a mountainous terrain. Asia Pacific Journal of Atmospheric Sciences. 45(4) 473~482

      Chung, Uran, J-H Kim, S-O Kim, H-C Seo, and J. I. Yun. 2009. Geospatial Assessment of Frost and Freeze Risk in ‘Changhowon Hwangdo’ Peach (Prunus persica) Trees as Affected by the Projected Winter Warming in South Korea: III. Identifying Freeze Risk Zones in the Future Using High-Definition Climate Scenarios. Korean Journal of Agricultural and Forest Meteorology, Vol. 11, No. 4, pp. 221~232. (In Korean with English abstract)

      Chung, Uran, Soo-Ock Kim and Jin I. Yun. 2008. Plant Hardiness Zone Mapping Based on a Combined Risk Analysis Using Dormancy Depth Index and Low Temperature Extremes − A Case Study with “Campbell Early” Grapevine −. Korean Journal of Agricultural and Forest Meteorology, Vol. 10, No. 4, pp. 121~131. (In Korean with English abstract)

      Chung, U., H. H. Seo, K. H. Hwang, B. S. Hwang, J. Choi, J. T. Lee, and J. I. Yun. 2006. Minimum temperature mapping over complex terrain by estimating cold air accumulation potential. Agricultural and Forest Meteorology 137, 15-24.

      Kang, W. S., Yun, S. C., and Park, E. W. 2010. Nonlinear regression analysis to determine infection models of Colletotrichum acutatum causing anthracnose of chili pepper using logistic equation. Plant Pathol. J. 24(1): (in press).

      Kang, W. S., Hong, S. S., Han, Y. K., Kim, K. R., Kim, S. K., and Park, E. W. 2010. A web-based information system for plant disease forecast based on weather data at high spatial resolution. Plant Pathol. J. 24(1): (in press)

      Kim, Jin-Hee and Jin I. Yun. 2008. On Mapping Growing Degree-Days (GDD) from Monthly Digital Climatic Surfaces for South Korea. Korean Journal of Agricultural and Forest Meteorology, Vol. 10, No. 1, pp. 1~8. (In Korean with English abstract)

      Hong, J., C. Cho, T. Lee, and M. Leclerc (2009a) Impact of large-scale advection on regional heat flux estimation over patchy agricultural land, Asia-Pacific J. Atmos. Sci., 45, 221-231.

      Kim, Su-ock. 2009. Modeling of Temperature Effects on Flowering Date Determination in ‘Niitaka’ Pear. MSc Thesis. Kyung Hee University. P. 71. (In Korean with English abstract)

      Kim, S-O, U. Chung, S-H Kim, I-M Choi, and J. I. Yun. 2009. The Suitable Region and Site for ‘Fuji’ Apple under the Projected Climate in South Korea. Korean Journal of Agricultural and Forest Meteorology, Vol. 11, No. 4, pp. 162~173. (In Korean with English abstract)

      Kim YH, Hong SY, Lee HY (2009) Estimation of paddy rice growth parameters using L, C, X-bands polarimetric scatterometer, Korean Journal Remote Sensing. 25(1):31~44

      Kwon, E. Y., J. E. Jung, U. Chung, J. I. Yun, and H. S. Park, 2008. Using thermal time to simulate dormancy depth and bud-burst of vineyards in Korea for the 20th century. Journal of Applied Meteorology and Climatology. 47. 1792~1801

      Kwon, H (2009), Estimation of net radiation in three different plant functional types in Korea. Korean Agricultural and Forest Meteorology, 11(2), 79-85

      Kwon, H., E. Pendall, B. E. Ewers, M. Cleary and K. Naithani, 2008: Spring drought regulates summer net ecosystem CO2 exchange in a sagebrush-steppe ecosystem, Agricultural and Forest Meteorology, 148(3), 381-391

      Kwon, H., T.-Y. Park, J. Hong, J.-H. Lim, and J. Kim, 2009: Seasonality of Net Ecosystem Carbon Exchange in Two Major Plant Functional Types in Korea. Asia-Pacific Journal of Atmospheric Sciences 45(2), 149-163.

      Kwon, H., J. Kim, and J. Hong, 2009: Influence of the Asian Monsoon on Net Ecosystem Carbon Exchange in Two Major Plant Functional Types in Korea. Biogeosciences Discuss, 6, 10279-10309.

      Kwon, H., J. Kim, J. Hong, and J.H. Lim (2010), Influence of the Asian Monsoon on Net Ecosystem Carbon Exchange in Two Major Plant Functional Types in Korea. Biogeosciences (in press)

      Oh Y, Hong SY, Kim Y, Hong JY, Kim YH (2009) Polarimetric Backscattering Coefficients of Flooded Rice Fields at L- and C-Bands: Measurements, Modeling, and Data Analysis, IEEE Transactions on Geoscience and Remote Sensing, 47(8):2714~2721

      Lee, Byong-Lyol and D. Hwang. 2008. ICT for Climate Change Science. KJEES Vol. 35 No. 11, 25~33 (In Korean with English abstract)

      Yoon, Kyungdahm, U. Chung, and J. I. Yun. 2006. Using Google Earth for a Dynamic Display of Future Climate Change and Its Potential Impacts in the Korean Peninsula. Korean Journal of Agricultural and Forest Meteorology, Vol. 8, No. 4, pp. 275~278. (In Korean with English abstract)

      Yun, Jin I. 2006. Climate Change Impact on the Flowering Season of Japanese Cherry (Prunus serrulata var. spontanea) in Korea during 1941-2100. Korean Journal of Agricultural and Forest Meteorology, Vol. 8, No. 2, pp. 68~76. (In Korean with English abstract)
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