Radio Science · 2003 · 35 citations · 16 references
Natural SciencesEarth SciencesOceanographyAtmospheric SciencePhysical OceanographySatellite MeteorologyAtmospheric Sounding From SatellitesSatellite SensorsSea Surface TemperatureSurface Temperature RetrievalThermal Remote SensingAtmospheric Moisture RetrievalSatellite Retrievals Of Surface RadiationSatellite Sea Surface Temperature RetrievalsSea Surface Temperature AnomaliesSea Surface Temperature Retrieval
Retrieval of the sea surface temperature t s , wind speed W , total atmospheric water vapor content V , and total cloud liquid water content Q over the ocean from the simulated ADEOS‐II AMSR data in the absence of precipitation is considered. The brightness temperatures ( T B ) with the vertical (V) and horizontal (H) polarizations at the AMSR frequencies ν = 6.9, 10.7, 18.7, 23.8, and 36.5 GHz were computed for the radiosonde and relevant data collected by research vessels. V and Q were retrieved from T B (23.8V) and T B (36.5V) with the physically based “global” (−1.6 < t s ≤ 31°C), “polar” ( t s ≤ 15°C), and “tropical” ( t s ≥ 24°C) algorithms under the assumption that t s values were derived from the measurements at 6.9 and 10.7 GHz with an error σ ts . The errors σ V and σ Q were estimated at several combinations of the difference Δ T 36 = T B (36.5V) ‐ T B (36.5H), radiometer noises Δ T and σ ts . At Δ T 36 = 35 K, Δ T = 0.3 K, and σ ts = 1°C, σ V = 1.5 kg/m 2 and σ Q = 0.029 kg/m 2 for a global algorithm. Standard regression techniques were applied to retrieve t s and W from the simulated brightness temperatures for the cases T B (10.7V) ≤ 185 K. For a global data base, three‐channel algorithm (6.9V, 6.9H, 10.7V or 10.7V) yields the t s and W errors equal to 0.40 and 0.58°C and 0.66 and 0.85 m/s as radiometer noises increase from 0.1 to 0.2 K at ν = 6.9 GHz and from 0.13 to 0.27 K at ν = 10.7 GHz.
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Thomas J. Greenwald, Graeme L. Stephens, Thomas H. Vonder Haar et al. · Journal of Geophysical Research Atmospheres · 1993 · 249 citations