The global high-resolution marine reanalysis products that were independently developed by the National Marine Environmental Forecasting Center based on the Chinese Global Oceanography Forecasting System(CGOFS),are ev...The global high-resolution marine reanalysis products that were independently developed by the National Marine Environmental Forecasting Center based on the Chinese Global Oceanography Forecasting System(CGOFS),are evaluated by comparing their climatologies with internationally recognized data from WOA(Word Ocean Atlas),SODA(Simple Ocean Data Assimilation),AVISO(Archiving,Validation,and Interpretation of Satellite Oceanographic Data),and C-GLORS(Global Ocean Reanalysis System).The results show that the SST RMSEs of CGOFS and SODA against WOA are 0.51℃ and 0.43℃ respectively;and in the North Pacific,the SST of CGOGS is closer to that of WOA than SODA.The SSS RMSEs of CGOFS and SODA compared with WOA are 0.48 PSU and 0.40 PSU,respectively.CGOFS can reproduce the main large-scale ocean circulation globally,and obtain a similar vertical structure of the Equatorial Undercurrent as SODA.The RMSE of the CGOFS global sea-level anomaly against AVISO is 0.018 m.The monthly averaged sea-ice extents are between those of SODA and C-GLORS in each month;the growth and ablation characteristics of the ice volume are consistent with SODA and C-GLORS;but the ice volume of CGOFS is greater than that of SODA and C-GLORS.In general,the climatology of the CGOFS global high-resolution reanalysis products are basically consistent with similar international products,and can thus provide reliable data for the improvement of marine science and technology in China.展开更多
The aim of this study was to better understand the mechanisms of regional climate variation in mountain ranges with contrasting aspects as mediated by changes in global climate. It may help predict trends of vegetatio...The aim of this study was to better understand the mechanisms of regional climate variation in mountain ranges with contrasting aspects as mediated by changes in global climate. It may help predict trends of vegetation variations in native ecosystems in natural reserves. As measures of climate response, temperature and precipitation data from the north, east, and south-facing mountain ranges of Shennongjia Massif in the coldest and hottest months(January and July), different seasons(spring, summer, autumn, and winter) and each year were analyzed from a long-term dataset(1960 to 2003) to tested variations characteristics, temporal and spatial quantitative relationships of climates. The results showed that the average seasonal temperatures and precipitation in the north, east, and south aspects of the mountain ranges changed at different rates. The average seasonal temperatures change rate ranges in the north, east, and south-facing mountain ranges were from –0.0210℃/yr to 0.0143℃/yr, –0.0166℃/yr to 0.0311℃/yr, and –0.0290 ℃/yr to 0.0084℃/yr, respectively, and seasonal precipitation variation magnitude were from –1.4940 mm/yr to 0.6217 mm/yr, –1.6833 mm/yr to 2.6182 mm/yr, and –0.8567 mm/yr to 1.4077 mm/yr, respectively. The climates variation trend among the three mountain ranges were different in magnitude and direction, showing a complicated change of the climates in mountain ranges and some inconsistency with general trends in global climate change. The climate variations were significantly different and positively correlated cross mountain ranges, revealing that aspects significantly affected on climate variations and these variations resulted from a larger air circulation system, which were sensitive to global climate change. We conclude that location and terrain of aspect are the main factors affecting differences in climate variation among the mountain ranges with contrasting aspects.展开更多
基金supported by the National Key R&D Program of China[grant number 2016YFC1401802 and 2016YFB0201105]。
文摘The global high-resolution marine reanalysis products that were independently developed by the National Marine Environmental Forecasting Center based on the Chinese Global Oceanography Forecasting System(CGOFS),are evaluated by comparing their climatologies with internationally recognized data from WOA(Word Ocean Atlas),SODA(Simple Ocean Data Assimilation),AVISO(Archiving,Validation,and Interpretation of Satellite Oceanographic Data),and C-GLORS(Global Ocean Reanalysis System).The results show that the SST RMSEs of CGOFS and SODA against WOA are 0.51℃ and 0.43℃ respectively;and in the North Pacific,the SST of CGOGS is closer to that of WOA than SODA.The SSS RMSEs of CGOFS and SODA compared with WOA are 0.48 PSU and 0.40 PSU,respectively.CGOFS can reproduce the main large-scale ocean circulation globally,and obtain a similar vertical structure of the Equatorial Undercurrent as SODA.The RMSE of the CGOFS global sea-level anomaly against AVISO is 0.018 m.The monthly averaged sea-ice extents are between those of SODA and C-GLORS in each month;the growth and ablation characteristics of the ice volume are consistent with SODA and C-GLORS;but the ice volume of CGOFS is greater than that of SODA and C-GLORS.In general,the climatology of the CGOFS global high-resolution reanalysis products are basically consistent with similar international products,and can thus provide reliable data for the improvement of marine science and technology in China.
基金Under the auspices of National Natural Science Foundation of China(No.41371216)Natural Science Foundation of Hubei Province(No.2014CFB376)
文摘The aim of this study was to better understand the mechanisms of regional climate variation in mountain ranges with contrasting aspects as mediated by changes in global climate. It may help predict trends of vegetation variations in native ecosystems in natural reserves. As measures of climate response, temperature and precipitation data from the north, east, and south-facing mountain ranges of Shennongjia Massif in the coldest and hottest months(January and July), different seasons(spring, summer, autumn, and winter) and each year were analyzed from a long-term dataset(1960 to 2003) to tested variations characteristics, temporal and spatial quantitative relationships of climates. The results showed that the average seasonal temperatures and precipitation in the north, east, and south aspects of the mountain ranges changed at different rates. The average seasonal temperatures change rate ranges in the north, east, and south-facing mountain ranges were from –0.0210℃/yr to 0.0143℃/yr, –0.0166℃/yr to 0.0311℃/yr, and –0.0290 ℃/yr to 0.0084℃/yr, respectively, and seasonal precipitation variation magnitude were from –1.4940 mm/yr to 0.6217 mm/yr, –1.6833 mm/yr to 2.6182 mm/yr, and –0.8567 mm/yr to 1.4077 mm/yr, respectively. The climates variation trend among the three mountain ranges were different in magnitude and direction, showing a complicated change of the climates in mountain ranges and some inconsistency with general trends in global climate change. The climate variations were significantly different and positively correlated cross mountain ranges, revealing that aspects significantly affected on climate variations and these variations resulted from a larger air circulation system, which were sensitive to global climate change. We conclude that location and terrain of aspect are the main factors affecting differences in climate variation among the mountain ranges with contrasting aspects.
