東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Precipitation over Indonesia in Obse...

Hakiki, Muhammad.

FindBook

Google Book

Amazon

博客來

Precipitation over Indonesia in Observations and Global Reforecasts and Impact of the Madden Julian Oscillation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Precipitation over Indonesia in Observations and Global Reforecasts and Impact of the Madden Julian Oscillation./
作者:	Hakiki, Muhammad.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	153 p.
附註:	Source: Masters Abstracts International, Volume: 83-02.
Contained By:	Masters Abstracts International83-02.
標題:	Provinces. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28552764
ISBN:	9798522949174

Precipitation over Indonesia in Observations and Global Reforecasts and Impact of the Madden Julian Oscillation.
Hakiki, Muhammad.

Precipitation over Indonesia in Observations and Global Reforecasts and Impact of the Madden Julian Oscillation. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 153 p.

Source: Masters Abstracts International, Volume: 83-02.

Thesis (M.Sc.)--North Carolina State University, 2021.

This item must not be sold to any third party vendors.

This study examines the impact of MJO phase on the rainfall over four provinces of Indonesia. The data set consist of global ensemble reforecasts and Observation from 1985- 2018. Statistical analysis of rainfall probability distribution show that all four provinces have different daily rainfall patterns, highligting the heterogeneity of the locations. The variability of rainfall show non normal distribution, with Gamma and Weibull distribution as the best fitting toward either observation data or satellite data. We examine the spread and root mean square errors (RMSE) using the ensemble reforecasts. In general, the reforecasts show under-dispersion, with the spread much smaller than RMSE. We also find that the spread and RMSE are sensitive to the phase of the MJO. During the convective (suppressed) phase, the ensemble spread is higher (lower) than its long-term average. This shows that the forecast skill is further degraded during the active phase of the MJO. This highlights the difficulty in making accurate forecasts over the maritime continent.

ISBN: 9798522949174Subjects--Topical Terms:

3549414
Provinces.

Precipitation over Indonesia in Observations and Global Reforecasts and Impact of the Madden Julian Oscillation.
LDR:02278nmm a2200385 4500 001 2393748
005 20240604073543.5
006 m o d
007 cr#unu||||||||
008 251215s2021 ||||||||||||||||| ||eng d
020 $a 9798522949174
035 $a (MiAaPQ)AAI28552764
035 $a (MiAaPQ)NCState_Univ18402038762
035 $a AAI28552764
040 $a MiAaPQ $c MiAaPQ
100 1 $a Hakiki, Muhammad. $3 3763222
245 1 0 $a Precipitation over Indonesia in Observations and Global Reforecasts and Impact of the Madden Julian Oscillation.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 153 p.
500 $a Source: Masters Abstracts International, Volume: 83-02.
500 $a Advisor: Aiyyer, Anantha;Mera, Roberto;Larson, Sarah.
502 $a Thesis (M.Sc.)--North Carolina State University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a This study examines the impact of MJO phase on the rainfall over four provinces of Indonesia. The data set consist of global ensemble reforecasts and Observation from 1985- 2018. Statistical analysis of rainfall probability distribution show that all four provinces have different daily rainfall patterns, highligting the heterogeneity of the locations. The variability of rainfall show non normal distribution, with Gamma and Weibull distribution as the best fitting toward either observation data or satellite data. We examine the spread and root mean square errors (RMSE) using the ensemble reforecasts. In general, the reforecasts show under-dispersion, with the spread much smaller than RMSE. We also find that the spread and RMSE are sensitive to the phase of the MJO. During the convective (suppressed) phase, the ensemble spread is higher (lower) than its long-term average. This shows that the forecast skill is further degraded during the active phase of the MJO. This highlights the difficulty in making accurate forecasts over the maritime continent.
590 $a School code: 0155.
650 4 $a Provinces. $3 3549414
650 4 $a Precipitation. $3 3680799
650 4 $a Rain. $3 3560372
650 4 $a Southeast Asian studies. $3 3344898
650 4 $a Remote sensing. $3 535394
650 4 $a Continental dynamics. $3 3175374
650 4 $a Geographic information science. $3 3432445
650 4 $a Meteorology. $3 542822
650 4 $a Climate change. $2 bicssc $3 2079509
690 $a 0222
690 $a 0370
690 $a 0404
690 $a 0799
690 $a 0557
690 $a 0406
710 2 $a North Carolina State University. $3 1018772
773 0 $t Masters Abstracts International $g 83-02.
790 $a 0155
791 $a M.Sc.
792 $a 2021
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28552764