Time Series: Domain  Global Analysis “Monthly Precipitation”

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Presentation transcript:

Time Series: Domain  Global Analysis “Monthly Precipitation”

Time Series: Domain  Global Analysis “Annual Cycle”

Time Series: Domain  Global Analysis “Monthly Anomaly”

Time Series: Domain  Northern Hemisphere Analysis “Monthly Precipitation”

Time Series: Domain  Northern Hemisphere Analysis “Annual Cycle”

Time Series: Domain  Northern Hemisphere Analysis “Monthly Anomaly”

Time Series: Domain  Southern Hemisphere Analysis “Monthly Precipitation”

Time Series: Domain  Southern Hemisphere Analysis “Annual Cycle”

Time Series: Domain  Southern Hemisphere Analysis “Monthly Anomaly”

Time Series: Domain  Tropics Analysis “Monthly Precipitation”

Time Series: Domain  Tropics Analysis “Annual Cycle”

Time Series: Domain  Tropics Analysis “Monthly Anomaly”

Time Series: Domain  NH Extratropics Analysis “Monthly Precipitation”

Time Series: Domain  NH Extratropics Analysis “Annual Cycle”

Time Series: Domain  NH Extratropics Analysis “Monthly Anomaly”

Time Series: Domain  SH Extratropics Analysis “Monthly Precipitation”

Time Series: Domain  SH Extratropics Analysis “Annual Cycle”

Time Series: Domain  SH Extratropics Analysis “Monthly Anomaly”

Time Series: Domain  50˚S - 50˚N Analysis “Monthly Precipitation”

Time Series: Domain  50˚S - 50˚N Analysis “Annual Cycle”

Time Series: Domain  50˚S - 50˚N Analysis “Monthly Anomaly”

Time Series: Domain  60˚S - 60˚N Analysis “Monthly Precipitation”

Time Series: Domain  60˚S - 60˚N Analysis “Annual Cycle”

Time Series: Domain  60˚S - 60˚N Analysis “Monthly Anomaly”

Time/Lat (Hovmoller): Domain  Global Analysis “Monthly Precipitation”

Time/Lat (Hovmoller): Domain  Global Analysis “Annual Cycle”

Time/Lat (Hovmoller): Domain  Global Analysis “Monthly Anomaly”

Time/Lat (Hovmoller): Domain  Tropics Analysis “Monthly Precipitation”

Time/Lat (Hovmoller): Domain  Tropics Analysis “Monthly Anomaly”

Maps: Stat  Mean Analysis “Yearly”

Maps: Stat  Mean Analysis “Winter”

Maps: Stat  Mean Analysis “Spring”

Maps: Stat  Mean Analysis “Summer”

Maps: Stat  Mean Analysis “Fall”

Maps: Stat  Range Analysis “Yearly”

Maps: Stat  Range Analysis “Winter”

Maps: Stat  Range Analysis “Spring”

Maps: Stat  Range Analysis “Summer”

Maps: Stat  Range Analysis “Fall”

Maps: Stat  Standard Deviation Analysis “January”

Maps: Stat  Standard Deviation Analysis “February”

Maps: Stat  Standard Deviation Analysis “March”

Maps: Stat  Standard Deviation Analysis “April”

Maps: Stat  Standard Deviation Analysis “May”

Maps: Stat  Standard Deviation Analysis “June”

Maps: Stat  Standard Deviation Analysis “July”

Maps: Stat  Standard Deviation Analysis “August”

Maps: Stat  Standard Deviation Analysis “September”

Maps: Stat  Standard Deviation Analysis “October”

Maps: Stat  Standard Deviation Analysis “November”

Maps: Stat  Standard Deviation Analysis “December”

Maps: Stat  Standard Deviation Analysis “Winter”

Maps: Stat  Standard Deviation Analysis “Spring”

Maps: Stat  Standard Deviation Analysis “Summer”

Maps: Stat  Standard Deviation Analysis “Fall”