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Testing the performance of three nonlinear methods of time seriesanalysis for prediction and downscaling of European daily temperatures

机译：测试三种非线性时间序列分析方法的性能，用于预测和降低欧洲日常温度

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J. Miksovsky; A. Raidl;
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年度 2005
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1. Testing the performance of three nonlinear methods of time seriesanalysis for prediction and downscaling of European daily temperatures [J] . Miksovsky J., Raidl A. Nonlinear Processes in Geophysics Discussions . 2005,第6期

机译：测试三种非线性时间序列分析方法的性能，以预测和降低欧洲日温度
2. Testing the performance of three nonlinear methods of time series analysis for prediction and downscaling of European daily temperatures [J] . Miksovsky J, Raidl A Nonlinear processes in geophysics . 2005,第6期

机译：测试三种非线性时间序列分析方法的性能，以预测和降低欧洲日温度
3. A space and time scale-dependent nonlinear geostatistical approach for downscaling daily precipitation and temperature [J] . Jha Sanjeev Kumar, Mariethoz Gregoire, Evans Jason, Water resources research . 2015,第8期

机译：与空间和时间尺度有关的非线性地统计学方法，用于缩小每日降水量和温度
4. A prediction method for nonlinear time series analysis of air temperature data by combining the false nearest neighbors and subspace identification methods [C] . I. MARIN CARRION, E. ARIAS ANTUNEZ, M. M. ARTIGAO CASTILLO, Recent researches in applied computer and applied computational science . 2011

机译：结合虚假最近邻法和子空间识别法的空气温度数据非线性时间序列分析的预测方法
5. Statistical downscaling and simulation of daily temperature extremes. [D] . Li, Qinglan. 2006

机译：统计缩减和每日温度极限的模拟。
6. Downscaling NLDAS-2 daily maximum air temperatures using MODIS land surface temperatures [O] . William L. Crosson, Mohammad Z. Al-Hamdan, Tabassum Z. Insaf 2020

机译：使用MODIS陆地表面温度缩小NLDAS-2每日最大空气温度
7. Testing the performance of three nonlinear methods of time seriesanalysis for prediction and downscaling of European daily temperatures [O] . Miksovsky J., Raidl A. 2005

机译：测试三种非线性时间序列分析方法的性能，以预测和缩减欧洲日温度
8. Development of a Fracture Mechanics-Based Asphalt Binder Test Method for Low Temperature Performance Prediction;Final rept. Jul 01-Jan 04 [R] . Hesp, S. 2004

机译：基于断裂力学的沥青粘结剂低温性能预测试验方法的研制;最终进展。 7月1日至1月4日

Testing the performance of three nonlinear methods of time seriesanalysis for prediction and downscaling of European daily temperatures

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