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Applications of Dynamic Land Surface Information for Passive Microwave Precipitation RetrievalCongo rain forests. Given the relative uniformity of emissivity over the tropical rain forest, which tends to be less dynamic due to year-round vegetation and relative insensitivity to surface soil moisture changes under the heavy canopy, this presents further evidence that using a TPW value retrieved using the coincident observations versus ancillary data has the potential to improve the GPM PMW precipitation algorithm. The false alarms using the GPROF Class constraints are very similar to a Φ N
Congo rain forests. Given the relative uniformity of emissivity over the tropical rain forest, which tends to be less dynamic due to year-round vegetation and relative insensitivity to surface soil moisture changes under the heavy canopy, this presents further evidence that using a TPW value retrieved using the coincident observations versus ancillary data has the potential to improve the GPM PMW precipitation algorithm. The false alarms using the GPROF Class constraints are very similar to a Φ N
