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  • Peter J. Lamb Special Collection: Climate Variability and Its Impacts x
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Zewdu T. Segele, Michael B. Richman, Lance M. Leslie, and Peter J. Lamb

, and national levels based on the climate system causation of Kiremt rainfall variability over Ethiopia. Time-scale analysis in Part I showed the contemporaneous linkages of Ethiopian rainfall variability with both atmospheric and sea surface temperature (SST) forcing during June–September (JJAS). The monsoon’s response to both slowly varying SST variability and higher-frequency regional atmospheric changes are found to be the primary climate system variability causation to assess Ethiopian

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Susan Stillman, Xubin Zeng, and Michael G. Bosilovich

1. Introduction Precipitation is the driving force of the terrestrial water cycle and is implicative of the general circulation and is therefore monitored rigorously using a variety of instruments and models. It is measured with high temporal resolution with the greatest accuracy using rain gauges. However, they only represent precipitation at sporadically distributed points, and even the best measurements have uncertainty. Wind has a nonlinear effect on precipitation measurement uncertainties

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Gang Zhang, Kerry H. Cook, and Edward K. Vizy

-permitting simulation. b. Diurnal cycle of rainfall in the simulation Figure 5 displays the percentage of daily rainfall distributed into 3-hourly intervals in the simulation for JJAS 2006. As in the observational analysis discussed in Part I , UTC is used as local time for this domain. Anomalously high afternoon rainfall near the eastern boundary (not shown) is neglected because it is spurious, being related to matching the model’s interior solution to the lateral boundary forcing. Over West Africa (west of 10°E

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