Improving Cross-Track Scanning Radiometers’ Precipitation Retrieval over Ocean by Morphing
- 1University of North Carolina, Wilmington, USA
- 2NASA Goddard Space Flight Center, USA
- 3Tomorrow IO, USA
- 4NASA Goddard Space Flight Center, University of Maryland-Baltimore County, USA
- 5University of Maryland, USA
- 6Lincoln Laboratory, Massachusetts Institute of Technology, USA
- 7Science Systems and Applications, Inc., USA
Previous studies showed that conical scanning radiometers greatly outperform cross-track scanning radiometers for precipitation retrieval over ocean. This study demonstrates a novel approach to improve precipitation rates at the cross-track scanning radiometers’ observation time by propagating the conical scanning radiometers’ retrievals to the cross-track scanning radiometers’ observation time. The improved precipitation rate is a weighted average of original cross-track radiometers’ retrievals and retrievals propagated from a conical scanning radiometer. Results show that the morphed precipitation rates agree much better with the reference. The degree of improvement depends on several factors, including the propagated precipitation source, the time interval between the cross-track scanning radiometer and the conical scanning radiometer, the precipitation type (convective versus stratiform), the precipitation events’ size, and the geolocation. The study has potential to greatly improve high-impact weather systems monitoring (e.g., hurricanes) and multisatellite precipitation products. It may also enhance the usefulness of future satellite missions with cross-track scanning radiometers on board.
How to cite: You, Y., Huffman, G., Peters-Lidard, C., Munchak, J., Tan, J., Braun, S., Kidd, C., Ringerud, S., Blackwell, W., Xun Yang, J., Nelkin, E., and Dong, J.: Improving Cross-Track Scanning Radiometers’ Precipitation Retrieval over Ocean by Morphing, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-17303, https://doi.org/10.5194/egusphere-egu23-17303, 2023.
