CLIGEN is a stochastic weather generator that has been used as input to WEPP. Normally, USLE based models predict erosion using parameter values that are long-term averages but RUSLE2 has a facility to predict erosion for single storms through user entered data. This enables CLIGEN to be used as a weather generator for RUSLE2 when EI₃₀ values for CLIGEN generated rainfall are determined separately. This can be achieved using daily erosivity density (EI₃₀ per unit quantity of rain) data generated by RUSLE2 for each location or by other methods that have the capacity to determine daily EI₃₀ values independently of RUSLE2. One such method developed by Yu was compared with the RUSLE2 based method in terms of its ability to predict temporal variations in soil loss during the calendar year from bare fallow and cropped areas. The process of determining EI₃₀ values by the Yu method involves generating EI₃₀ values so as to match R-factor values used by RUSLE2. This enables CLIGEN to predict soil loss values that are as useful those generated using RUSLE2 erosivity densities in terms of predicting long-term variations in soil loss during the year. However, CLIGEN does not necessarily produce stochastic rainfall data evenly over decades. Consequently, the process of matching R-factors associated with RUSLE2 with those generated by using CLIGEN should be undertaken using the same time frame as used for obtaining the long-term mean soil loss amounts.

CLIGEN是一种随机天气生成器，已用作WEPP的输入。通常，基于USLE的模型使用作为长期平均值的参数值来预测侵蚀，但是RUSLE2可以通过用户输入的数据来预测单个风暴的侵蚀。当单独确定CLIGEN产生的降雨的EI ₃₀值时，这可使CLIGEN用作RUSLE2的天气生成器。这可以通过使用RUSLE2为每个位置生成的每日侵蚀率密度（每单位雨量EI ₃₀）数据或其他有能力确定每日EI _{30的方法来实现。}值独立于RUSLE2。Yu提出的一种这样的方法与基于RUSLE2的方法进行了比较，因为它可以预测日历年中裸露的休耕地和耕地的土壤流失的时间变化。通过Yu方法确定EI ₃₀值的过程涉及生成EI ₃₀值，以匹配RUSLE2使用的R因子值。这使得CLIGEN可以预测土壤损失值，该值与使用RUSLE2侵蚀度密度产生的值一样有用，可以预测一年中土壤损失的长期变化。但是，CLIGEN不一定能在数十年中平均产生随机降雨数据。因此，匹配R的过程与使用CLIGEN生成的那些因子相关的RUSLE2因子应采用与获得长期平均土壤流失量相同的时间范围进行估算。