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Regional climate change in a topographically complex region.

机译:地形复杂地区的区域气候变化。

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A regional climate model (RCM) was applied to estimate the impact of increasing carbon dioxide concentration on the future climate of California. The first experiment with the RCM consisted of two cases with 280 ppm CO 2 (preindustrial) and 560 ppm CO2 (doubled preindustrial) as initial conditions. The RCM was run for a period of five years, with 3 ensemble members for each case. The results indicated statistically significant temperature increases in all months of the year over the entire state. The precipitation results indicated increases in the northern half of the state and decreases in the southern, but these differences were not statistically significant. In the mountainous areas of the state there were large statistically significant decreases in snow accumulation. The two cases above were extended to fifteen years and the results were subdivided and analyzed for the ten hydrologic regions of the state as defined by the California Department of Water Resources. Model results indicated increased temperature in all regions of the state in all months. Results for precipitation indicated decreases in the winter through spring months for almost all regions. For the mountainous regions, snow accumulation was dramatically reduced. The output of the RCM for the two fifteen year cases, 280 and 560 ppm CO2, was used to calculate wind stress curl anomaly along the coast of California. Wind stress curl is used to estimate changes in coastal upwelling due to changes in climate. Two additional cases, twenty years in length, were run with the RCM with time-varying CO2 concentrations. The RCM results for wind stress curl indicate the intensity of the peak upwelling season (July–August) will increase, and that in the region north of Pt. Conception the upwelling season is lengthened. Lastly, the two IPCC cases were analyzed for three geographic regions of California. Results for the RCM indicated statistically significant increases in temperature for all regions, with the greatest warming occurring in the high elevation Mountain region. The precipitation results indicate some increases and decreases, but they are not statistically significant. Snow accumulation is greatly reduced in Mountain region, and the differences are statistically significant.
机译:应用了区域气候模型(RCM)来估算二氧化碳浓度增加对加利福尼亚未来气候的影响。 RCM的第一个实验包括两个案例,其中280 ppm CO 2 (工业化前)和560 ppm CO 2 (工业化前的两倍)作为初始条件。 RCM运行了五年,每个案例有3名合奏成员。结果表明,在整个州中,一​​年中所有月份的温度升高都具有统计意义。降水结果表明,该州北部的降水量增加,而南部的降水量减少,但是这些差异在统计上并不显着。在该州的山区,积雪量有较大的统计显着下降。以上两个案例被延长到十五年,结果被细分和分析了加州水利部所定义的该州的十个水文地区。模型结果表明,该州所有地区在所有月份的温度都在升高。降雨结果表明,几乎所有地区的冬季到春季月份都在减少。在山区,积雪量大大减少。这两个15年案例的RCM输出分别为280和560 ppm CO 2 ,用于计算加利福尼亚海岸的风应力卷曲异常。风应力卷曲被用来估计由于气候变化而引起的沿海上升流的变化。 RCM的CO 2 浓度随时间变化,还发生了另外二十例,长度为二十年。风应力卷曲的RCM结果表明高峰上升季节(7月至8月)的强度将增加,而在Pt以北地区则上升。从概念上讲,延长了上升季节。最后,分析了加州三个地理区域的两个IPCC案例。 RCM的结果表明,所有地区的温度都有统计学上的显着升高,其中最大的变暖发生在高海拔山区。降水结果表明有所增加和减少,但在统计上并不显着。山区的积雪量大大减少,差异具有统计学意义。

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