1964
DOI: 10.1175/1520-0493(1964)092<0091:otpbft>2.3.co;2
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On the Physical Basis for the Numerical Prediction of Monthly and Seasonal Temperatures in the Troposphere-Ocean-Continent System

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Cited by 71 publications
(49 citation statements)
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“…Ratcliff and Murray (1970) discussed the lag association between the North Atlantic SST and the European surface pressure. Adem (1964; claimed that the SST anomaly provides useful information on the monthly forecasts. The groups of long-range forecasting in China discussed the lag association between the Kuroshio SST and the rainfall in the eastern part of China.…”
Section: (A) Tropics In Situmentioning
confidence: 99%
“…Ratcliff and Murray (1970) discussed the lag association between the North Atlantic SST and the European surface pressure. Adem (1964; claimed that the SST anomaly provides useful information on the monthly forecasts. The groups of long-range forecasting in China discussed the lag association between the Kuroshio SST and the rainfall in the eastern part of China.…”
Section: (A) Tropics In Situmentioning
confidence: 99%
“…In the experiments reported here, we use the thermodynamic climate model (TCM), which is described in detail in previous works (Adem 1964, 1965, 1970, 1979, 1991, Adem et al 2000. The TCM consists of an atmospheric layer of about 10 km thickness, which includes a single variable horizontal cloud layer, an oceanic mixed layer of 60 m in depth and a continental layer of negligible depth.…”
Section: Thermodynamic Climate Modelmentioning
confidence: 99%
“…However, the two terms involving the winds must be transformed in two important respects. First, the predictions are made for a rectangular grid array of 512 points on a polar-stereographic projection whose X-axis points along the 10°E meridian and ½-axis along the 80°W meridian (Adem, 1964). Therefore, we must transform the eastward (º) and northward (») directed wind components to corresponding components º and »; directed along the positive X-and ½-axes respectively.…”
Section: Appendix a ¹He Parametrization Of The Precipitation Anomaliesmentioning
confidence: 99%