[1] 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 ϭ 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" (Ϫ1.6 Ͻ t s Յ 31ЊC), "polar" (t s Յ 15ЊC), and "tropical" (t s Ն 24ЊC) algorithms under the assumption that t s values were derived from the measurements at 6.9 and 10.7 GHz with an error ts . The errors V and Q were estimated at several combinations of the difference ⌬T36 ϭ T B (36.5V) -T B (36.5H), radiometer noises ⌬T and ts . At ⌬T36 ϭ 35 K, ⌬T ϭ 0.3 K, and ts ϭ 1ЊC, V ϭ 1.5 kg/m 2 and Q ϭ 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) Յ 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 0.58ЊC and 0.66 and 0.85 m/s as radiometer noises increase from 0.1 to 0.2 K at ϭ 6.9 GHz and from 0.13 to 0.27 K at ϭ 10.7 GHz.