참고문헌
- Abatzoglou, J.T., 2013. Development of gridded surface meteorological data for ecological applications and mocelling. International Journal of Climatology, 33(1), pp.121-131. https://doi.org/10.1002/joc.3413
- Bolten, J.D., Crow, W.T., Zhan, X., Jackson, T.J. and Reynolds, C.A., 2010. Evaluating the utility of remotely sensed soil moisture retrievals for operational agricultural drought monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3(1), pp.57-66. https://doi.org/10.1109/JSTARS.2009.2037163
- Burke, M. and Emerick, K., 2016. Adaptation to climate change: Evidence from US agriculture. American Economic Journal: Economic Policy, 8(3), pp.106-40. https://doi.org/10.1257/pol.20130025
- Combs, S., 2012. The impact of the 2011 drought and beyond. Austin, TX: Texas Comptroller of Public Accounts.
- Ding, Y., Hayes, M.J. and Widhalm, M., 2011. Measuring economic impacts of drought: a review and discussion. Disaster Prevention and Management: An International Journal, 20(4), pp.434-446. https://doi.org/10.1108/09653561111161752
- Gringorten, I.I., 1963. A plotting rule for extreme probability paper. Journal of Geophysical Research, 68(3), pp.813-814. https://doi.org/10.1029/JZ068i003p00813
- Guerrero, B., 2012. The impact of agricultural drought losses on the Texas economy, 2011. Briefing Paper, AgriLife Extension.
- Howitt, R., Medellin-Azuara, J., MacEwan, D., Lund, J.R. and Sumner, D., 2014. Economic analysis of the 2014 drought for California agriculture. University of California, Davis, CA: Center for Watershed Sciences.
- Howitt, R., Medellin-Azuara, J., MacEwan, D., Lund, J.R. and Sumner, D., 2015. Economic analysis of the 2015 drought for California agriculture. University of California, Davis, CA: Center for Watershed Sciences.
- Karl, T. R., B. E. Gleason, M. J. Menne, J. R. McMahon, R. R. Heim Jr, M. J. Brewer, K. E. Kunkel et al. "US temperature and drought: Recent anomalies and trends." Eos, Transactions American Gecphysical Union 93, no. 47 (2012): 473-474. https://doi.org/10.1029/2012EO470001
- Liang, X., Lettenmaier, D.P., Wood, E.F. and Burges, S.J., 1994. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. Journal of Geophysical Research: Atmospheres, 99(D7), pp.14415-14428. https://doi.org/10.1029/94JD00483
- Logar, I. and van den Bergh, J.C., 2013. Methods to assess costs of drought damages and policies for drought mitigation and adaptation: review and recommendations. Water resources management, 27(6), pp.1707-1720. https://doi.org/10.1007/s11269-012-0119-9
- Mao, Y., Nijssen, B. and Lettenmaier, D.P., 2015. Is climate change implicated in the 2013-2014 California drought? A hydrologic perspective. Gecphysical Research Letters, 42(8), pp.2805-2813. https://doi.org/10.1002/2015GL063456
- McKee, T.B., Doesken, N.J. and Kleist, J., 1993, January. The relationship of drought frecuency and duration to time scales. In Proceecings of the 8th Conference on Applied Climatology (Vol. 17, No. 22, pp. 179-183). Boston, MA: American Metecrological Society.
- Minnesota IMPLAN Group. IMPLAN Professional, version 3.0. IMPLAN Group: Stillwater, MN, USA, 2009.
- Riebsame, W.E., Changnon Jr, S.A. and Karl, T.R., 1991. Drought and natural resources management in the United States. Impacts and implications of the 1987-89 drought. Westview Press Inc.
- Sheffield, J. and Wood, E.F., 2008. Global trends and variability in soil moisture and drought characteristics, 1950-2000, from observation-driven simulations of the terrestrial hydrologic cycle. Journal of Climate, 21(3), pp.432-458. https://doi.org/10.1175/2007JCLI1822.1
- Wuebbles, D.J., Kunkel, K., Wehner, M. and Zobel, Z., 2014. Severe weather in United States under a changing climate, Eos, Transactions American Geophysical Union, 95(18), pp.149-150. https://doi.org/10.1002/2014EO18
- Ziolkowska, J., 2016. Socio-economic implications of drought in the agricultural sector and the state economy. Economies, 4(3), p.19. https://doi.org/10.3390/economies4030019