To place which decimal relationship from inside the position, we remind the person your noticed yearly suggest AHT

Seasonal cycle of hemispheric contrast in energy fluxes defined as half the difference in spatial integral of fluxes in the SH minus that in the NH. http://datingranking.net/nl/chatiw-overzicht The solid lines are the observations and the shaded region represents ±1 standard deviation about the CMIP3 PI ensemble average. The terms are defined in the legend and discussed in the text in reference to Eq. (5). The first four terms in the legend sum to yield AHT_EQ.

Seasonal cycle of hemispheric contrast in energy fluxes defined as half the difference in spatial integral of fluxes in the SH minus that in the NH. The solid lines are the observations and the shaded region represents ±1 standard deviation about the CMIP3 PI ensemble average. The terms are defined in the legend and discussed in the text in reference to Eq. (5). The first four terms in the legend sum to yield AHT_EQ.

The summer hemisphere absorbs more shortwave radiation in the atmospheric column than the winter hemisphere and, in the absence of compensating energy fluxes, would result in a 7.1-PW seasonal amplitude of AHT_EQ with northward heat transport peaking near (5 days after) the austral summer solstice. However, 46% of this interhemispheric energy contrast is balanced by air–surface energy exchange (?SHF?) with the atmosphere warming the ocean in the summer hemisphere and the ocean heating the atmosphere in the winter hemisphere. Additionally, 16% of the seasonal variations in ?SWABS? is radiated to space as an interhemispheric contrast in OLR (?OLR?). Both ?SHF? and ?OLR? are nearly antiphased with the insolation and ?SWABS? (with a phase lead of 1 day and phase lag of 12 days, respectively). The interhemispheric contrast of atmospheric energy storage (?STOR_ATMOS?) has a seasonal amplitude of 2.3 PW and is associated with the heating (in the extratropics) and moistening (in the tropics) of the atmospheric column in the summer hemisphere and the cooling and drying of the column in the winter hemisphere. It leads the insolation by approximately 60 days, which is expected from a system where the negative feedbacks (OLR and atmospheric heat transport) are substantially stronger than the thermal inertia (Donohoe and Battisti 2012). As a consequence, the sum of all the other energy fluxes, which is equal to AHT_EQ by Eq. (5), is substantially smaller than ?SWABS? (due to the damping by ?SHF? and ?OLR?) and lags the insolation (due to the phase lead of atmospheric energy storage, ?STOR_ATMOS?); AHT_EQ has a seasonal amplitude of 2.2 PW and lags the insolation by 46 days.

3) The fresh quantitative relationships between ITCZ venue and atmospheric temperatures transportation all over the latest equator

Figure 3 suggests that the ITCZ location (P_Penny) covaries with the atmospheric heat transport across the equator (AHT_EQ) with a 1-PW change in AHT_EQ corresponding to a 2.7° meridional shift in the ITCZ location. _EQ is ?0.1 PW and that the maximum value of AHT at all latitudes is on the order of 5 PW (Trenberth and Caron 2001). This quantitative relationship suggests that modest shifts in tropical precipitation must be accompanied by fairly substantial perturbations to the interhemispheric energy budget (Fig. 2), the focus of this manuscript. _Penny and AHT_EQ?

We now inquire this question: What actual processes set new decimal relationships ranging from P

(top) Scatterplot of AHT_EQ vs the mass overturning streamfunction at 500 hPa over the equator over the seasonal cycle in the observations. Each asterisk is a monthly average and the dashed line is the linear best fit. (bottom) Scatterplot of the location of the 0 mass overturning streamfunction ?_?=0 at 500 hPa vs AHT_EQ (red asterisk and linear best fit dashed line) and P_Cent vs AHT_EQ (blue asterisk and linear best fit dashed line). The expected relationship between ?_?=0 and AHT_EQ from Eq. (9) is shown by the dashed black line.