2.ESTIMATION – Microwave data International constellation of microwave sensors is uncoordinated • Old satellites drift • But still useful! HRPP’s use “all” sensors • Timing of version changes for both input and HRPP algorithms • Sensor degradation CDR-like GPCP • Limit microwave calibrator to 6 a.m./ p.m. satellite • Consistent diurnal bias
6
Embed
2.ESTIMATION – Microwave data International constellation of microwave sensors is uncoordinated
2.ESTIMATION – Microwave data International constellation of microwave sensors is uncoordinated •Old satellites drift •But still useful! HRPP’s use “all” sensors •Timing of version changes for both input and HRPP algorithms •Sensor degradation CDR-like GPCP - PowerPoint PPT Presentation
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
2.ESTIMATION – Microwave data
Internationalconstellation ofmicrowave sensors isuncoordinated• Old satellites drift• But still useful!
HRPP’s use “all” sensors
• Timing of version changes for both input and HRPP algorithms
• Sensor degradation
CDR-like GPCP• Limit microwave
calibrator to 6 a.m./ p.m. satellite
• Consistent diurnal bias
2.ESTIMATION – Microwave data
Internationalconstellation ofmicrowave sensors isuncoordinated• Old satellites drift• But still useful!
HRPP’s use “all” sensors
• Timing of version changes for both input and HRPP algorithms
• Sensor degradation
CDR-like GPCP• Limit microwave
calibrator to 6 a.m./ p.m. satellite
• Consistent diurnal bias
2.ESTIMATION – Microwave data
Internationalconstellation ofmicrowave sensors isuncoordinated• Old satellites drift• But still useful!
HRPP’s use “all” sensors
• Timing of version changes for both input and HRPP algorithms
• Sensor degradation
CDR-like GPCP• Limit microwave
calibrator to 6 a.m./ p.m. satellite
• Consistent diurnal bias
3. CURRENT ISSUES – Combination errors
Need to estimate bias outside usual validation areas• Very resistant to solution
Need to estimate HRPP random error• Depends on weather regimes• Time/space covariance structure
• real• retrieval
Account for diverse interleaved sources• Graphic looks
better than the real situation
orange = best microwave ± 1 hr
green = other microwave ± 1 hr
3. CURRENT ISSUES – Combination errors
Need to estimate bias outside usual validation areas• Very resistant to solution
Need to estimate HRPP random error• Depends on weather regimes• Time/space covariance structure
• real• retrieval
Account for diverse interleaved sources• Graphic looks
better than the real situation
orange = best microwave ± 1 hr
green = other microwave ± 1 hr
3. CURRENT ISSUES – Combination errors
Need to estimate bias outside usual validation areas• Very resistant to solution
Need to estimate HRPP random error• Depends on weather regimes• Time/space covariance structure
• real• retrieval
Account for diverse interleaved sources• Graphic looks