Estimation and assessment of long-term drought outlook information using the long-term forecasting data

Jae-Min So; Taesuk Oh; Deg-Hyo Bae

doi:10.3741/JKWRA.2017.50.10.691

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2017 Vol.50, Issue 10 Preview Page Next Page

Estimation and assessment of long-term drought outlook information using the long-term forecasting data 장기예보자료를 활용한 장기 가뭄전망정보 산정 및 평가

31 October 2017. pp. 691-700

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Abstract

The objective of this study is to evaluate the long-term drought outlook information based on long-term forecast data for the 2015 drought event. In order to estimate the Standardized Precipitation Index (SPI) for different durations (3-, 6-, 9-, 12-months), we used the observation precipitation of 59 Automated Synoptic Observing System (ASOS) sites, forecast and hindcast data of GloSea5. The Receiver Operating Characteristic (ROC) analysis and statistical analysis (Correlation Coefficient, CC; Root Mean Square Error, RMSE) were used to evaluate the utilization of drought outlook information for the forecast lead-times (1~6months). As a result of ROC analysis, ROC scores of SPI(3), SPI(6), SPI(9) and SPI(12) were estimated to be over 0.70 until the 2-, 3-, 4- and 5-months. The CC and RMSE values of SPI(3), SPI(6), SPI(9) and SPI(12) for forecast lead-time were estimated as (0.60, 0.87), (0.72, 0.95), (0.75, 0.95) and (0.77, 0.89) until the 2-, 4-, 5- and 6-months respectively.

Keywords

Long-term drought

GloSea5

GloDrought outlookSea5

Meteorological drought index

본 연구에서는 장기예보자료 기반의 장기 가뭄전망정보를 산정하고, 2015년 가뭄사상을 대상으로 활용성을 평가하였다. 이를 위해 ASOS 59개 지점의 관측강수량, GloSea5의 미래예측 및 과거재현 자료를 활용하였으며, 다양한 지속기간(3, 6, 9, 12개월)에 대한 SPI를 산정하였다. 또한 예보선행시간(1~6개월)에 따른 SPI와 관측자료 기반의 SPI 간의 ROC (Receiver Operating Characteristic)및 통계적 분석(상관계수, 평균제곱근오차)을 수행하여 전망정보의 활용성을 평가하였다. ROC 분석결과, SPI(3)는 2개월, SPI(6)은 3개월, SPI(9)는 4개월, SPI(12)는 5개월까지 ROC score 약 0.70 이상으로 산정되었다. 예보선행시간별 상관계수 및 평균제곱근오차의 경우, 2개월 선행시간 SPI(3)은 0.60, 0.87, 4개월 선행시간 SPI(6)은 0.72, 0.95, 5개월 선행시간 SPI(9)는 0.75, 0.95, 6개월 선행시간 SPI(12)는 0.77, 0.89로 상관계수는 높게, 평균제곱근오차는 낮게 산정되어 활용성이 있는 것으로 판단된다.

키워드

장기가뭄

GloSea5

가뭄전망

기상학적 가뭄지수

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Information

Publisher :KOREA WATER RESOURECES ASSOCIATION
Publisher(Ko) :한국수자원학회
Journal Title :Journal of Korea Water Resources Association
Journal Title(Ko) :한국수자원학회 논문집
Volume : 50
No :10
Pages :691-700
Received Date : 2017-07-17
Revised Date : 2017-09-04
Accepted Date : 2017-09-04
DOI :https://doi.org/10.3741/JKWRA.2017.50.10.691

Journal of Korea Water Resources Association ISSN:2799-8746(Print) 2799-8754(Online) 한국수자원학회 논문집

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