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WUFI_한국기후데이타
WUFI_한국기후데이타323 WUFI_Seoul_phiko-hour.wac (342.0K) 2015.07.07
28 WUFI_Taejon_phiko-hour.wac (341.9K) 2015.07.07
17 WUFI_Taegu_phiko-hour.wac (343.4K) 2015.07.07
25 WUFI_Pusan_phiko-hour.wac (343.4K) 2015.07.07
11 WUFI_Kangju_phiko-hour.wac (342.0K) 2015.07.07
9 WUFI_Chonju_phiko-hour.wac (343.4K) 2015.07.07
46 WUFI_Cheju_phiko-hour.wac (342.2K) 2015.07.07
12 WUFI_Kangnung_phiko-hour.wac (341.8K) 2015.07.07
22 WUFI_Gapyoung_phiko-hour.wac (344.1K) 2015.07.07
8 WUFI_Seongnam_phiko-hour.wac (344.1K) 2015.07.07
10 WUFI_Mokpo_phiko-hour.wac (341.9K) 2015.07.07
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Name of site : Seoul(서울)
126.97 Longitude [?; East is positive
37.57 Latitude [?; North is positive
86 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
37.57 Latitude [?; North is positive
86 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
-------------------------------------------------------------------
Name of site : Taejon(대전)
127.40 Longitude [?; East is positive
36.30 Latitude [?; North is positive
78 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
36.30 Latitude [?; North is positive
78 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
-------------------------------------------------------------------
Name of site : Taegu(대구)
128.62 Longitude [?; East is positive
35.88 Latitude [?; North is positive
61 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
35.88 Latitude [?; North is positive
61 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
-------------------------------------------------------------------
Name of site : Pusan(부산)
128.93 Longitude [?; East is positive
35.18 Latitude [?; North is positive
15 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
35.18 Latitude [?; North is positive
15 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
-------------------------------------------------------------------
Name of site : Kwangju(광주)
126.91 Longitude [?; East is positive
35.13 Latitude [?; North is positive
72 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
35.13 Latitude [?; North is positive
72 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
-------------------------------------------------------------------
Name of site : Chonju(전주)
127.15 Longitude [?; East is positive
35.81 Latitude [?; North is positive
53 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
35.81 Latitude [?; North is positive
53 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
-------------------------------------------------------------------
Name of site : Cheju(제주)
126.53 Longitude [?; East is positive
33.52 Latitude [?; North is positive
24 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
33.52 Latitude [?; North is positive
24 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
-------------------------------------------------------------------
Name of site : Kangnung(강릉)
128.90 Longitude [?; East is positive
37.75 Latitude [?; North is positive
26 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
37.75 Latitude [?; North is positive
26 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
-------------------------------------------------------------------
Name of site : Gapyoung(가평)
127.52 Longitude [?; East is positive
37.81 Latitude [?; North is positive
90 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
127.52 Longitude [?; East is positive
37.81 Latitude [?; North is positive
90 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
-------------------------------------------------------------------
Name of site : Seongnam(성남)
127.10 Longitude [°]; East is positive
37.42 Latitude [°]; North is positive
63 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
127.10 Longitude [°]; East is positive
37.42 Latitude [°]; North is positive
63 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
-------------------------------------------------------------------
Name of site : Mokpo(목포)
126.38 Longitude [?; East is positive
34.78 Latitude [?; North is positive
53 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
34.78 Latitude [?; North is positive
53 HeightAMSL [m]
9.0 Time Zone [h from UTC]; East is positive
1 Time Step [h]
8760 Number of DataLines
9 Number of DataColumns
-------------------------------------------------------------------
그에 비해 WUFI 는 달랑 9개의 기상데이타만 들어 있습니다. 파일을 열어 보시면 아실 듯 합니다.
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저희 협회 교육/세미나는 항상 돈 값 이상을 하고 있습니다. ㅠㅠ
위 데이터는 어느기간동안의 데이터를 어떤 방법에 의해 가공되었는지 알려면... 무엇을 찾아봐야 할까요? 교육에서 잠깐 이야기가 나왔듯이 실제 데이터가 아니었을 때 발생할 수 있는 문제들이 있으니...기상데이터의 형성 역사(?)도 같이 알고 있어야 할 것 같아서요~
구글에서 weather data format understanding 으로 검색하시면 주옥같은 자료를 찾으실 수 있으실 것입니다.