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![Page 1: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/1.jpg)
Exploring the similarities and differences between MODIS, PATMOS and ISCCP
Amato Evan, Andrew Heidinger & Michael Pavolonis
Collaborators: Brent Maddux, Richard Frey, Chris O’Dell & Steven Ackerman
http://cimss.ssec.wisc.edu/clavr/amato/
![Page 2: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/2.jpg)
Outline
• EOF analysis– PATMOS & ISCCP d2: total, high, mid & low cloud fractions– MODIS collection 5 total cloud fractions
• NON-PHYSICAL time series comparisons– Discuss the effects of diurnal cycles– “Diurnally correct” time series
• Conclusions– Significance of the findings– Future work
![Page 3: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/3.jpg)
EOF Analysis
• Remove the seasonality & ENSO then standardize every pixel
• Reveal patterns in the data sets that may or may not be physical that explain the most variance
• EOF maps are not rotated – variance in the EOF maps can be removed from the data set
![Page 4: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/4.jpg)
EOF Analysis - PATMOS/AVHRR
• Total Cloud Fraction - 1st EOF
![Page 5: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/5.jpg)
EOF Analysis - PATMOS/AVHRR
• Low & Mid Cloud Fraction - 1st EOF
![Page 6: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/6.jpg)
EOF Analysis - PATMOS/AVHRR
• High Cloud Fraction - 1st EOF
![Page 7: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/7.jpg)
EOF Analysis - ISCCP
• Total Cloud Fraction - 1st EOF
![Page 8: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/8.jpg)
EOF Analysis - ISCCP
• Low & Mid Cloud Fraction - 1st EOF
![Page 9: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/9.jpg)
EOF Analysis - ISCCP
• High Cloud Fraction
![Page 10: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/10.jpg)
EOF Analysis - MODIS (2005 Terra: collection 5)
• Total Cloud Fraction - 1st EOF
![Page 11: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/11.jpg)
EOF Analysis - Summary
• Each data set is probably influenced non-physical artifacts– may be driven by geometry or the algorithms
• PATMOS & MODIS – artifacts may be more regional (poles) – PATMOS also has a ‘striping’ effect
• ISCCP – Artifacts introduced by satellite geometry are pervasive
![Page 12: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/12.jpg)
Time Series Analysis
• Every data set contains measurements made at different times– AVHRR: changing sampling rates and over pass time (drift)– ISCCP: IR data is 3-hourly, VIS + IR is daytime only– MODIS: changing sampling rates
• Since clouds have a diurnal cycle, maybe a comparison of the data sets should take observation times into account?
![Page 13: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/13.jpg)
Time Series Analysis - Tropics Over Land
• 15 S to 15 N• High Cloud Fractions
– MODIS collection 4 daytime only!
![Page 14: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/14.jpg)
Time Series Analysis - Tropics Over Land
• High clouds• Not taking into account diurnal effects
![Page 15: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/15.jpg)
Time Series Analysis - Tropics Over Land
• High clouds• Strong diurnal cycle as seen by the satellites
![Page 16: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/16.jpg)
Time Series Analysis - Tropics Over Land
• Differences in satellite observation times
![Page 17: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/17.jpg)
Time Series Analysis - Tropics Over Land
• High clouds• Not taking into account diurnal effects
![Page 18: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/18.jpg)
Time Series Analysis - Tropics Over Land
• High clouds• Strong diurnal cycle as seen by the satellites
![Page 19: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/19.jpg)
Time Series Analysis - Tropics Over Land
• High clouds• Accounting for diurnal effects
![Page 20: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/20.jpg)
Time Series Analysis - Tropics Over Land
• High clouds• Accounting for diurnal effects
![Page 21: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/21.jpg)
Time Series Analysis - Tropics Over Land
• High cloud• Accounting for diurnal effects & standardizing
![Page 22: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/22.jpg)
Time Series Analysis - Tropics Over Water
• High cloud
• Not Corrected • Corrected
![Page 23: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/23.jpg)
Comparison Time Series - Summary
• Accounting for diurnal affects can greatly influence the results of a time series analysis (and probably a correlation analysis)
• This effect is greatest in the presence of a strong diurnal cycle, generally over land
• May be especially important when comparing two different polar orbiting satellites
• These diurnal corrections for more regions and cloud types can be viewed at– http://cimss.ssec.wisc.edu/clavr/amato/
![Page 24: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/24.jpg)
Exploring the similarities and differences between MODIS, PATMOS and ISCCP
Conclusions
• Each data set contains some artifacts that probably are not physical
• However, when the diurnal cycle is considered, despite those artifacts, there is excellent agreement between all three data sets
• Even when absolute cloud amounts are not in agreement, the data sets are still very well correlated
![Page 25: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/25.jpg)
Exploring the similarities and differences between MODIS, PATMOS and ISCCP
Future Work
• Quantifying how the artifacts in the EOF analysis are affecting the long-term cloud signals
• Possible to create a “best fit” cloud climatology that utilizes more that one data set– Similar to the work being done by Chris O’Dell
• Use the diurnal information of ISCCP to “correct” the drift signal in the PATMOS data
![Page 26: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/26.jpg)
Extra slides
![Page 27: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/27.jpg)
Time Series Analysis - Tropics Over Land
• Low clouds• Not taking into account diurnal effects
![Page 28: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/28.jpg)
Time Series Analysis - Tropics Over Land
• Low clouds• Strong diurnal cycle as seen by the satellites
![Page 29: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/29.jpg)
Time Series Analysis - Tropics Over Land
• Differences in satellite observation times
![Page 30: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/30.jpg)
Time Series Analysis - Tropics Over Land
• Effects of satellite drift
![Page 31: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/31.jpg)
Time Series Analysis - Tropics Over Land
• Low clouds• Not taking into account diurnal effects
![Page 32: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/32.jpg)
Time Series Analysis - Tropics Over Land
• Low clouds• Accounting for diurnal effects
![Page 33: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/33.jpg)
Time Series Analysis - Tropics Over Land
• Low clouds• Accounting for diurnal effects
![Page 34: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/34.jpg)
Time Series Analysis - Tropics Over Land
• Low clouds• Accounting for diurnal effects & standardizing
![Page 35: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/35.jpg)
Time Series Analysis - Stratus Regions
![Page 36: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/36.jpg)
Time Series Analysis - Stratus Regions
• Low clouds• Not taking into account diurnal effects
![Page 37: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/37.jpg)
Time Series Analysis - Stratus Regions
• Low clouds• diurnal cycle as seen by the satellites – approx. sine wave
![Page 38: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/38.jpg)
Time Series Analysis - Stratus Regions
• Low clouds• Not taking into account diurnal effects
![Page 39: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/39.jpg)
Time Series Analysis - Stratus Regions
• Low clouds• Accounting for diurnal effects
![Page 40: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/40.jpg)
Time Series Analysis - Stratus Regions
• Low cloud• Accounting for diurnal effects & standardizing
![Page 41: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/41.jpg)
Time Series Analysis - Stratus Regions
• Low clouds• Accounting for diurnal effects
![Page 42: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/42.jpg)
Time Series Analysis - Stratus Regions
• Low cloud• Accounting for diurnal effects & standardizing
![Page 43: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/43.jpg)
EOF Analysis - Summary
• Each data set is probably influenced non-physical artifacts
• These artifacts may be driven by geometry or the algorithms
• PATMOS & MODIS – artifacts may be more regional (poles)
• PATMOS – Also has a ‘striping’ effect
• ISCCP – Artifacts introduced by satellite geometry are pervasive
![Page 44: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/44.jpg)
Exploring the similarities and differences between MODIS, PATMOS and ISCCP
Conclusions
• Each data set contains some artifacts that probably are not physical
• When the diurnal cycle is considered, despite those artifacts, there is excellent agreement between all three data sets
• Even when absolute cloud amounts are not in agreement, the data sets are still very well correlated
![Page 45: Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,](https://reader036.fdocuments.net/reader036/viewer/2022062515/56649d1a5503460f949ef2fb/html5/thumbnails/45.jpg)
Exploring the similarities and differences between MODIS, PATMOS and ISCCP
Future Work
• Understand how the artifacts in the EOF analysis are affecting the long-term cloud signals
• Possible to create a “best fit” cloud climatology that utilizes more that one data set– Similar to the work being done by Chris O’Dell