JOURNAL BROWSE
Search
Advanced SearchSearch Tips
A Feasibility Study of a Field-specific Weather Service for Small-scale Farms in a Topographically Complex Watershed
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Feasibility Study of a Field-specific Weather Service for Small-scale Farms in a Topographically Complex Watershed
Yun, Jin I.;
  PDF(new window)
 Abstract
An adequate downscaling of synoptic forecasts is a prerequisite for improved agrometeorological service to rural areas in South Korea where complex terrains and small farms are common. In this study, geospatial schemes based on topoclimatology were used to scale down the Korea Meteorological Administration (KMA) temperature forecasts to the local scale (~30 m) across a rural catchment. Then, using these schemes, local temperatures were estimated at 14 validation sites at 0600 and 1500 LST in 2013/2014 and were compared with the observations. The estimation errors were substantially reduced for both 0600 and 1500 LST temperatures when compared against the uncorrected KMA products. The improvement was most notable at low lying locations for the 0600 temperature and at the locations on west- and south-facing slopes for the 1500 LST temperature. Using the downscaled real-time temperature data, a pilot service has started to provide the field-specific weather information tailored to meet the requirements of small-scale farms. For example, the service system makes a daily outlook on the phenology of crop species grown in a given field using the field-specific temperature data. When the temperature forecast is given for next morning, a frost risk index is calculated according to a known relationship of phenology and frost injury. If the calculated index is higher than a pre-defined threshold, a warning is issued and delivered to the grower's cellular phone with relevant countermeasures to help protect crops against frost damage.
 Keywords
Temperature downscale;Topoclimatology;Early warning system;Field-specific service;Climate extreme;
 Language
English
 Cited by
 References
1.
Allen, R. G., L. S. Pereira, D. Raes, and M. Smith, 1998: Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO irrigation and drainage paper 56. UN-FAO, Rome, Italy, 333 pp.

2.
Barry, R. G., 1992: Mountain Weather and Climate. 2nd ed. Routledge, 402 pp.

3.
Bolstad, P.V., L. Swift, F. Collins, and J. Regniere, 1998: Measured and predicted air temperatures at basin to regional scales in the southern Appalachian Mountains. Agricultural and Forest Meteorology 91, 161-176. crossref(new window)

4.
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. crossref(new window)

5.
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, 473-482.

6.
Fridley, J. D., 2009: Downscaling climate over complex terrain: High finescale (<1000 m) spatial variation of nearground temperatures in a montane forested landscape (Great Smoky Mountains). Journal of Applied Meteorology and Climatology 48, 1033-1049. crossref(new window)

7.
Geiger, R., R. H. Aron, and P. Todhunter, 2003: The Climate near the Ground. 6th ed. Rowman and Littlefield, 584 pp.

8.
Glahn, H. R., and D. P. Ruth, 2003: The new digital forecast database of the National Weather Service. Bulletin of American Meteorological Society 84, 195-201. crossref(new window)

9.
Gobin, A., A. M. Tarquis, and N. R. Dalezios, 2013: Weatherrelated hazards and risks in agriculture. Natural Hazards and Earth System Science 13, 2599-2603. crossref(new window)

10.
Jarvis, C. H., and N. Stuart, 2001: A comparison among strategies for interpolating maximum and minimum daily air temperatures. Part I: The selection of "Guiding" topographic and land cover variables. Journal Applied Meteorology 40, 1060-1074. crossref(new window)

11.
Kim, S. O., J. H. Kim, D. J. Kim, and J. I. Yun, 2012: Wind effect on the distribution of daily minimum temperature across a cold pooling catchment. Korean Journal of Agricultural and Forest Meteorology 14, 277-282. (in Korean with English abstract), DOI: 10.5532/KJAFM.2012.14.4.277. crossref(new window)

12.
Kim, S. O., and J. I. Yun, 2011: A quantification method for the cold pool effect on nocturnal temperature in a closed catchment. Korean Journal of Agricultural and Forest Meteorology 13(4), 176-184. (in Korean with English abstract), DOI: 10.5532/KJAFM.2011.13.4.176. crossref(new window)

13.
Kim, S. O., and J. I. Yun, 2013: Relationship between midday air temperature and solar irradiance over sloping surfaces under cloudless conditions. Korean Journal of Agricultural and Forest Meteorology 15, 291-297. (In Korean with English abstract), DOI: 10.5532/KJAFM.2013.15.4.291. crossref(new window)

14.
Kim, S. O., and J. I. Yun, 2014: Improving usage of the Korea Meteorological Administration's digital forecasts in agriculture: III. Correction for advection effect on determination of daily maximum temperature over sloped surfaces. Korean Journal of Agricultural and Forest Meteorology 16(4), 297-303. crossref(new window)

15.
Kondratyev, K. Y., and M. P. Federova, 1977: Radiation Regime of Inclined slopes. WMO Technical Note No. 152.

16.
Nalder, I. A., and R.W. Wein, 1998: Spatial interpolation of climatic normals: test of a new method in the Canadian boreal forest. Agricultural and Forest Meteorology 92, 211-225 crossref(new window)

17.
Regniere, J., 1996: A generalized approach to landscapewide seasonal forecasting with temperature-driven simulation models. Environmental Entomology 25, 869-881. crossref(new window)

18.
Sievers, U., and W. G. Zdunkowski, 1986: A micro-scale urban climate model. Beitrage zur Physik der Atmosphare 69(1), 13-40.

19.
Thornton, P. E., S. W. Running, and M. A. White, 1997: Generating surfaces of daily meteorological variables over large regions of complex terrain. Journal of Hydrology 190, 214-251. crossref(new window)

20.
Yun, J. I., S.-O. Kim, J.-H. Kim, and D.-J. Kim, 2013: User-specific agrometeorological service to local farming community: a case study. Korean Journal of Agricultural and Forest Meteorology 15, 320-331. (In Korean with English abstract), DOI: 10.5532/KJAFM.2013.15.4.320. crossref(new window)