1 / 15

Norm data

josef
Download Presentation

Norm data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Dynamics of the sea surface temperature on a global scale using satellite measurementsG. Vysotskaya (1,2), A. Shevyrnogov (1,3) (1) Institute of Biophysics of SB RAS, Krasnoyarsk, Russia, (2) Institute of Computational Modelling of SB RAS, Krasnoyarsk, Russia(3) Siberian Federal University, Krasnoyarsk, Russia

  2. 108 satellite MODISimages (2160 x 4320) – 7.2002-7.2011 and 300AVHRRimages (4096 x 8192) - 1985 - 2009 were used in this investigation. Sea surface temperature may be represented as a sum: Ci,j(t) = Fi,j(  (t)) +ξi,j( (t))+Ui,j (t),where Fi,j(m) is amean for (i,j);  (t) is a number of a month for time t; ξi,j(m) is a random variable, that describe natural variability of the ocean. It depends on (i,j) and a month. Ui,j(t) is a some additional variable, that can be defined by climatic changes, human impact etc.

  3. Norm data Ei,j,m is a mean value for a point (i,j) and a month m Di,j,m is a variance for a point(i,j) and a month m. Define positive anomaly values as the upper 20% (p0.8)and negative anomaly as the lower 20% (p0.2)

  4. Square of negative and positive anomalies by AVHRR data (60°N- 60°S)

  5. Square of negative and positive anomalies by MODIS data (60°N- 60°S)

  6. Square of positive anomalies by AVHRR data (30°N- 30°S)

  7. Square of negative anomalies by AVHRR data (30°N- 30°S)

  8. Square of negative and positive anomalies by AVHRR data (30°N- 30°S)

  9. Conclusions • Long-term changes of sea surface temperature are global. • The largest positive anomalies appear almost synchronously in the different oceans. • The largest negative anomalies usually are not synchronous in the different oceans • Variability of SST in the Atlantic and Indian oceans is higher than in the Pacific ocean.

More Related