What question did this study set out to answer?

To introduce and evaluate the CMORPH technique for generating high-resolution, global precipitation analyses by propagating passive microwave scans using infrared motion vectors.

June 1, 2004Journal of Hydrometeorology

CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal Resolution

View Full Paper

Ask AI

Bookmark

To introduce and evaluate the CMORPH technique for generating high-resolution, global precipitation analyses by propagating passive microwave scans using infrared motion vectors.
Derived motion vectors from half-hourly geostationary satellite infrared imagery to advect passive microwave precipitation estimates.
Morphed precipitation feature shape and intensity between microwave overpasses using a time-weighted linear interpolation scheme independent of infrared rain rate estimates.
Evaluated daily spatial correlation and equitable threat scores against ground rain gauge networks in Australia and the United States across April–October 2003.
Over Australia, CMORPH increased daily spatial correlation over blended microwave-infrared techniques by an average of 0.14 in April, 0.27 in May, 0.26 in June–August, 0.22 in September, and 0.20 in October 2003, with equitable threat scores improving by an average of 0.11 to 0.14.
Over the United States, CMORPH exceeded blended techniques in spatial correlation by an average of 0.10 for June–August, 0.13 for September, and 0.13 for October 2003, while boosting equitable threat scores by an average of 0.06, 0.09, and 0.10, respectively.

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

Validation study reveals superior accuracy in global satellite rainfall estimates across regional networks, highlighting the advantage of motion-interpolated microwave data.

Cite This Study

Joyce et al. (2004) studied this question.

synapsesocial.com/papers/69d7697d3f1c8b69fd48f3e5 https://doi.org/10.1175/1525-7541(2004)005<0487:camtpg>2.0.co;2

View Full Paper

Ask AI

Bookmark

Implication

Validation study reveals superior accuracy in global satellite rainfall estimates across regional networks, highlighting the advantage of motion-interpolated microwave data.

CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal Resolution

Key Points

Discussion

Implication

Cite This Study

CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal Resolution

Key Points

Discussion

Implication

Cite This Study

Also Consider

Also Consider