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IFPRI
                 Delayed Impact of the North
               Atlantic Oscillation on Biosphere
                     Productivity in Asia

                               Guiling Wang
                               Liangzhi You



                               International Conference on
                         Climate Change and Food Security
                               Beijing, November 07, 2011
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
Outline

NAO
Motivation
Data and Method
 Panel Data of Chinese Crop yields
 NDVI
Results
Conclusions
North Atlantic Oscillation (NAO)
 NAO: an oscillation in the gradient of
 atmospheric pressure between the
 high pressure center near the Azores
 and the low pressure center near
 Iceland on the Atlantic .
 Through its impact on atmospheric
 circulation, NAO regulates climate
 variability in most of the Northern
 Hemisphere.
 Positive vs. negative phases of NAO
Motivation
 Impact on flora and fauna patterns
 Although the NAO-related
 temperature pattern extends far
 eastward into northern Asia, few
 documented studies so far
 Based on the current notion of the
 NAO phenomenon, a time lag longer
 than a few months in vegetation
 response is neither expected nor easily
 explained
Our Study
 We investigate the impact of NAO on
 the productivity of vegetation in Asia
 at various time lags
 We found that the vegetation response
 time in Asia is even longer, at a
 surprising 18 months
Our Data
 Chinese provincial crop yield data from
 1979-1997: rice, wheat, maize, sorghum,
 millet, potato, and soybean
 Satellite-derived monthly Normalized
 Difference Vegetation Index (NDVI)-
 ”Greenness Index”
 The monthly NDVI data was derived from
 the Advanced Very High Resolution
 Radiometer. It spans the period 1982-2000,
 and covers the globe with a 1-degree spatial
 resolution
Our Data (Continued)

 PC-based NAO index during the
 extended winter (December through
 March), provided by NCAR
Our Method - Correlation Analysis

 A relationship as being significant only if all
 of the following four conditions are met:
  » the correlation based on raw data is significant
  » the correlation based on detrended data is
    significant
  » detrending the data does not change the sign of
    the correlation coefficient
  » the above three criteria are met in at least one
    contingent area that is larger than the size of
    three medium provinces in China
Correlation coefficients between winter
NAO index and crop yields
Correlation between winter NAO index
and monthly NDVI in subsequent spring
Correlation between winter NAO index
and NDVI in the 2nd growing season
Correlation between the NAO index and
NDVI
Three Characteristics
 The time lag between the NAO index and
 NDVI is approximately the same as that
 between the NAO index and crop yield
 The time of significant NAO association
 identified from the NDVI data (i.e., July-
 October) covers most of the growing season
 of the crops for which our crop data
 establishes a delayed response to NAO
 The region of significant NAO-NDVI
 correlation in Asia covers the northern
 China where crop yield data suggests a
 delayed response of vegetation productivity
 to NAO
Findings
 The crop yield data from China and
 the satellite NDVI data are consistent
 A significant response of vegetation
 productivity in Asia to the NAO
 system with a time delay of one and
 half years
Discussion
 The significant response of vegetation
 productivity in Asia to NAO with a
 delay as long as 1.5 years indicates
 that the lasting memory may reside in
 some large scale forcing
 The role of the Arctic Ocean?
Implications
 Studies linking carbon dynamics to modes
 of atmospheric circulation should take into
 account this delayed response in biosphere
 carbon assimilation
 The timing difference between Europe and
 Asia in their ecological responses to NAO
 demands separate treatment of these two
 continents in many studies
 NAO index as a weather-related predictor
 for long-range forecast of several grain crop
 yields in North Asia
The first paper already published in
Geophysical Research Letter
New Research
 North Atlantic Oscillation as a long-
 range forecast of crop yield in North
 Asia, in particular North Korea
 NSF-funded project(2011-2014): A
 Pilot Project on Interactive Climate
 and Land Use Predictions
Thank You All!

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Delayed Impact of NAO on Asian Vegetation Productivity

  • 1. IFPRI Delayed Impact of the North Atlantic Oscillation on Biosphere Productivity in Asia Guiling Wang Liangzhi You International Conference on Climate Change and Food Security Beijing, November 07, 2011 INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
  • 2. Outline NAO Motivation Data and Method Panel Data of Chinese Crop yields NDVI Results Conclusions
  • 3. North Atlantic Oscillation (NAO) NAO: an oscillation in the gradient of atmospheric pressure between the high pressure center near the Azores and the low pressure center near Iceland on the Atlantic . Through its impact on atmospheric circulation, NAO regulates climate variability in most of the Northern Hemisphere. Positive vs. negative phases of NAO
  • 4. Motivation Impact on flora and fauna patterns Although the NAO-related temperature pattern extends far eastward into northern Asia, few documented studies so far Based on the current notion of the NAO phenomenon, a time lag longer than a few months in vegetation response is neither expected nor easily explained
  • 5. Our Study We investigate the impact of NAO on the productivity of vegetation in Asia at various time lags We found that the vegetation response time in Asia is even longer, at a surprising 18 months
  • 6. Our Data Chinese provincial crop yield data from 1979-1997: rice, wheat, maize, sorghum, millet, potato, and soybean Satellite-derived monthly Normalized Difference Vegetation Index (NDVI)- ”Greenness Index” The monthly NDVI data was derived from the Advanced Very High Resolution Radiometer. It spans the period 1982-2000, and covers the globe with a 1-degree spatial resolution
  • 7. Our Data (Continued) PC-based NAO index during the extended winter (December through March), provided by NCAR
  • 8. Our Method - Correlation Analysis A relationship as being significant only if all of the following four conditions are met: » the correlation based on raw data is significant » the correlation based on detrended data is significant » detrending the data does not change the sign of the correlation coefficient » the above three criteria are met in at least one contingent area that is larger than the size of three medium provinces in China
  • 9. Correlation coefficients between winter NAO index and crop yields
  • 10. Correlation between winter NAO index and monthly NDVI in subsequent spring
  • 11. Correlation between winter NAO index and NDVI in the 2nd growing season
  • 12. Correlation between the NAO index and NDVI
  • 13. Three Characteristics The time lag between the NAO index and NDVI is approximately the same as that between the NAO index and crop yield The time of significant NAO association identified from the NDVI data (i.e., July- October) covers most of the growing season of the crops for which our crop data establishes a delayed response to NAO The region of significant NAO-NDVI correlation in Asia covers the northern China where crop yield data suggests a delayed response of vegetation productivity to NAO
  • 14. Findings The crop yield data from China and the satellite NDVI data are consistent A significant response of vegetation productivity in Asia to the NAO system with a time delay of one and half years
  • 15. Discussion The significant response of vegetation productivity in Asia to NAO with a delay as long as 1.5 years indicates that the lasting memory may reside in some large scale forcing The role of the Arctic Ocean?
  • 16. Implications Studies linking carbon dynamics to modes of atmospheric circulation should take into account this delayed response in biosphere carbon assimilation The timing difference between Europe and Asia in their ecological responses to NAO demands separate treatment of these two continents in many studies NAO index as a weather-related predictor for long-range forecast of several grain crop yields in North Asia
  • 17. The first paper already published in Geophysical Research Letter
  • 18. New Research North Atlantic Oscillation as a long- range forecast of crop yield in North Asia, in particular North Korea NSF-funded project(2011-2014): A Pilot Project on Interactive Climate and Land Use Predictions