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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

349. Maps:
Stat  Mean
Analysis “Yearly”

361. Maps:
Stat  Mean
Analysis “Winter”

373. Maps:
Stat  Mean
Analysis “Spring”

385. Maps:
Stat  Mean
Analysis “Summer”

397. Maps:
Stat  Mean
Analysis “Fall”

409. Maps:
Stat  Range
Analysis “Yearly”

421. Maps:
Stat  Range
Analysis “Winter”

433. Maps:
Stat  Range
Analysis “Spring”

445. Maps:
Stat  Range
Analysis “Summer”

457. Maps:
Stat  Range
Analysis “Fall”

469. Maps:
Stat  Standard Deviation
Analysis “January”

481. Maps:
Stat  Standard Deviation
Analysis “February”

493. Maps:
Stat  Standard Deviation
Analysis “March”

505. Maps:
Stat  Standard Deviation
Analysis “April”

517. Maps:
Stat  Standard Deviation
Analysis “May”

529. Maps:
Stat  Standard Deviation
Analysis “June”

541. Maps:
Stat  Standard Deviation
Analysis “July”

553. Maps:
Stat  Standard Deviation
Analysis “August”

565. Maps:
Stat  Standard Deviation
Analysis “September”

577. Maps:
Stat  Standard Deviation
Analysis “October”

589. Maps:
Stat  Standard Deviation
Analysis “November”

601. Maps:
Stat  Standard Deviation
Analysis “December”

613. Maps:
Stat  Standard Deviation
Analysis “Winter”

625. Maps:
Stat  Standard Deviation
Analysis “Spring”

637. Maps:
Stat  Standard Deviation
Analysis “Summer”

649. Maps:
Stat  Standard Deviation
Analysis “Fall”