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首页> 外文期刊>Meteorological applications >Comparing two high-resolution gauge-adjusted multisatellite rainfall products over India for the southwest monsoon period
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Comparing two high-resolution gauge-adjusted multisatellite rainfall products over India for the southwest monsoon period

机译:比较印度西南季风期的两种经过高分辨率,量表调整的多星降雨产物

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摘要

Reliable high-resolution rainfall estimates are vital for hydrological and weather/climate-related applications and evaluation of high-resolution numerical model outputs. Multisatellite rainfall products provide immense opportunities to analyse rainfall at regular spatial and temporal scales, but suffer from large region- and season-dependent biases. Direct calibration or merging of ground-based observations with multisatellite rainfall estimates essentially provides more accurate rainfall estimates as it benefits from the relative merits of both the sources. In this study, two popular gauge-adjusted multisatellite rainfall products, the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) research monitoring 3B42 version 7 (3B42V7) and Climate Prediction Center (CPC) Rainfall Estimation Algorithm version 2 (RFE2.0) are compared with the recently released and improved gridded India Meteorological Department (IMD) gauge-based rainfall estimates over India. The comparison is done for a 13year southwest monsoon season ranging from 2001 to 2013 at 0.25 degrees latitude/longitude resolution. A number of skill metrics such as mean, bias, co-efficient of variation, correlation co-efficient, anomaly correlation, pattern correlation and root-mean-square error (RMSE) are computed to assess the accuracy of both the merged satellite-gauge rainfall products. The prominent Indian monsoon rainfall features are well captured by both 3B42V7 and RFE2.0 products, in general. However, they overestimate mean rainfall at the all-India scale and the overestimation is comparatively larger for RFE2.0 than for 3B42V7. Even though the interannual variability of the Indian monsoon rainfall from both the gauge-adjusted multisatellite data sets is comparable with the gauge-based estimates for the study period, RFE2.0 overestimates light rainfall and underestimates heavy rainfall. Moreover, the comparison at sub-regional scales shows that 3B42V7 overestimates rainfall over eastern India and the foothills of the Himalayas and underestimates along the west coast and over the northeast, whereas RFE2.0 underestimates monsoon rainfall over the three sub-regions except over eastern India where it overestimates rainfall by about 25%. Both the gauge-adjusted multisatellite rainfall products show larger RMSE of the order of 100% along the west coast of India, which is a cause of concern. Overall analysis suggests that 3B42V7 is superior to RFE2.0 at synoptic scale over the Indian monsoon region.
机译:可靠的高分辨率降雨估算对于水文和与天气/气候相关的应用以及对高分辨率数值模型输出的评估至关重要。多卫星降雨产品为分析规则的时空尺度的降雨提供了巨大的机会,但受地区和季节的影响较大。直接校准或将地面观测资料与多卫星降雨估算值合并在一起,可以从两种来源的相对价值中受益,从而提供了更为准确的降雨估算值。在这项研究中,两种流行的经量规调整的多卫星降雨产品,即热带降雨测量任务(TRMM)多卫星降水分析(TMPA)研究监测3B42版本7(3B42V7)和气候预测中心(CPC)降雨估计算法版本2(RFE2)。 0)与最近发布和改进的网格化印度气象部门(IMD)基于印度的基于雨量计的降雨量估算值进行了比较。比较是在2001年至2013年的13年西南季风季节(经纬度分辨率为0.25度)下进行的。计算了许多技能指标,例如均值,偏差,变异系数,相关系数,异常相关,模式相关和均方根误差(RMSE),以评估合并后的卫星量规的准确性降雨产品。通常,3B42V7和RFE2.0产品都能很好地捕捉到印度季风的主要降雨特征。但是,他们高估了全印度范围内的平均降雨量,而RFE2.0的高估相对高于3B42V7。尽管两个量表调整后的多卫星数据集的印度季风降雨量的年际变化都可与研究期间基于量表的估计值相媲美,但RFE2.0高估了轻降雨而低估了强降雨。此外,在次区域尺度上的比较显示,3B42V7高估了印度东部和喜马拉雅山山麓的降雨量,并低估了西海岸和东北部的降雨量,而RFE2.0则低估了除东东部以外的三个次区域的季风降雨量在印度,降雨量高估了约25%。在印度西海岸,两种经过量表调整的多卫星降雨产品均显示出100%左右的较大RMSE,这值得关注。总体分析表明,在天气尺度上,3B42V7优于RFE2.0,优于印度季风区域。

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