where should we add some for better forecast?

21
MOTEKI Qoosaku Tropical Climate Variability Research Program Japan Marine-Earth Science and Technology

Upload: kosaku-moteki

Post on 25-Dec-2014

487 views

Category:

Technology


0 download

DESCRIPTION

Introduction to "ALERA" ALERA is a new atmospheric objective analysis dataset produced by JAMSTEC. This is produced by using an ensemble Kalman filter assimilation technique, so that we get a very "interesting" and "useful" product. http://www.jamstec.go.jp/esc/afes/alera/ Reference: "The influence of the observations propagated by convective coupled equatorial waves" Qoosaku Moteki1,*, Kunio Yoneyama1, Ryuichi Shirooka1, Hisayuki Kubota1, Kazuaki Yasunaga1, Junko Suzuki1, Ayako Seiki1, Naoki Sato2, Takeshi Enomoto3, Takemasa Miyoshi4, Shozo Yamane5 Article first published online: 18 APR 2011 DOI: 10.1002/qj.779 The Quarterly Journal of the Royal Meteorological Society Volume 137, Issue 656, pages 641--655, April 2011 Part A Abstract: This paper describes the propagation of the influence of radiosonde observations made during MISMO (Mirai Indian Ocean cruise for the Study of the Madden--Julian oscillation-convection Onset), which was conducted over the Indian Ocean in the boreal autumn of 2006. The impact of these observations was assessed using an experimental reanalysis called 'ALERA' that was produced by the local ensemble transform Kalman filter with the atmospheric global circulation model for the Earth Simulator. The difference of the analysis ensemble mean between the analysis cycles with and without the MISMO observations was used to quantify the influence of these observations on the analysis field, which we call impact signals. Since the impact signals were contaminated by noise, probably due to the model's truncated spectral basis, a significance test was performed using the analysis ensemble spread, and the numerical noise was then successfully eliminated. The results indicated that convectively coupled equatorial waves propagated the impact signals to the central Pacific to the east and to the African continent to the west. In particular, the analysis fields around typhoons Cimaron, Chebi, and Durian over the tropical Western Pacific were significantly modified by the propagation of the impact signals through the Kelvin waves. Here two factors played important roles: (1) the meridional positions of the typhoons; and (2) the duration of the observations. The equatorial Rossby waves also made a significant contribution to the propagation of the impact signals. Such influences through the waves resulted in the reduction of the analysis spread. The shape of the region of reduced spread resembled the Matsuno--Gill pattern with an east-west width of more than 20000 km. Copyright © 2011 Royal Meteorological Society

TRANSCRIPT

Page 1: Where should we add some for better forecast?

MOTEKI QoosakuTropical Climate Variability Research ProgramJapan Marine-Earth Science and Technology

Page 2: Where should we add some for better forecast?

should we add observationsin the Tropics?

WhereIntensive observation projects

conducted by JAMSTEC

Page 3: Where should we add some for better forecast?

Operational Upper-air Sounding

Page 4: Where should we add some for better forecast?

Weather Station Weather RadarRadio Sonde

t

z

t

z

ty x

1-D 2-D 3-D

Page 5: Where should we add some for better forecast?

should we add observationsin the Tropics?

WhereIntensive observation projects

conducted by JAMSTEC

Page 6: Where should we add some for better forecast?

Radar

Vessel

CINDY Oct.-Dec. 2011

Page 7: Where should we add some for better forecast?

do you get?

How much

Intensive observation projects

conducted by JAMSTEC

improvement

Page 8: Where should we add some for better forecast?

Improvement by CINDY

improvedegrade%

improvement rate (%) =Error without Obs. - Error with Obs.

Error without Obs.

Page 9: Where should we add some for better forecast?

observation

forecast

next analysis

Spread

Error

current analysis

Page 10: Where should we add some for better forecast?

Objective evaluation of the ”value” of

Additional observations

Page 11: Where should we add some for better forecast?

Analysis error of U during MISMO2006

● operational sounding

small error large error(m/s)

Page 12: Where should we add some for better forecast?

● MISMO sounding● operational sounding

(m/s)

small error large error

Analysis error of U during MISMO2006

Page 14: Where should we add some for better forecast?

Improvement by CINDY

improvedegrade%

improvement rate (%) =Error without Obs. - Error with Obs.

Error without Obs.

Page 15: Where should we add some for better forecast?

Message

Page 16: Where should we add some for better forecast?

Continuous contribution needs

continuous connection

Page 17: Where should we add some for better forecast?

continuous connectionon the Youtube

Page 18: Where should we add some for better forecast?

the Youtube leads details

Page 19: Where should we add some for better forecast?

the video like a music

Page 20: Where should we add some for better forecast?
Page 21: Where should we add some for better forecast?

JAMSTEC original productswill surely contribute for

better forecast in the Tropics