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??10???????FG5-112?????????????й???????????????????о?????嶯??????????????????????68??????????ι????????????С??2??10 ^-8 ms ^-2???????????????????????С?????????????;????????????????????????????????????仯?????1??10 ^-8 ms ^-2 /a??????????λ???????-0.38 cm/a;??????????λ?仯??????????????????????????????     

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????GRACE?????????????2003-01??2010-12?μ???????????????????????й??????????仯??????????????????????????????????????????????????仯??????????????????GRACE??????????仯??????????????????2009-09??2010-04?μ???????????????????????????     

Seasonal and inter-annual variations of the primary types of the Arctic sea-ice drifting patterns

Abstract Monthly mean sea ice motion vectors and monthly mean sea level pressure （SLP） for the period of 1979-2006 are investigated to understand the spatial and temporal changes of Arctic sea-ice drift. According to the distinct differences in monthly mean ice velocity field as well as in the distribution of SLP, there are four primary types in the Arctic Ocean： Beaufort Gyre＋Transpolar Drift, Anticyclonic Drift, Cyclonic Drift and Double Gyre Drift. These four types account for 81% of the total, and reveal distinct seasonal variations. The Cyclonic Drift with a large-scale anticlockwise ice motion pattern trends to prevail in summer while the Anticyclonic Drift with an opposite pattern trends to prevail in winter and spring. The prevailing seasons for the Beaufort Gyre＋Transpolar Drift are spring and autumn, while the Double Gyre Drift trends to prevail in winter, especially in Feb- ruary. The annual occurring times of the Anticyclonic Drift and the Cyclonic Drift are closely correlated with the yearly mean Arc- tic Oscillation （AO） index, with a correlation coefficient of -0.54 and 0.54 （both significant with the confident level of 99%）, re- spectively. When the AO index stays in a high positive （negative） condition, the sea-ice motion in the Arctic Ocean demonstrates a more anticlockwise （clockwise） drifting pattern as a whole. When the AO index stays in a neutral condition, the sea-ice motion becomes much more complicated and more transitional types trend to take place.     

A temperature inversion in "Chinese Arctic Research Expedition 1999

1　ＩｎｔｒｏｄｕｃｔｉｏｎＴｈｅＡｒｃｔｉｃａｒｅａ ,ａｓｔｈｅｂａｃｋｇｒｏｕｎｄｏｆｇｌｏｂａｌｃｌｉｍａｔｅａｎｄｅｎｖｉｒｏｎｍｅｎｔ,ｄｒａｗｓｐｅｏ ｐｌｅ’ｓａｔｔｅｎｔｉｏｎｗｉｔｈｉｔｓｉｍｐａｃｔｏｎｇｌｏｂａｌｃｈａｎｇｅ (ＩＰＣＣ 1 990 ) .Ｇｒｅａｔａｍｏｕｎｔｏｆｅｎｅｒｇｙａｎｄｍａｓｓａｒｅｅｘｃｈａｎｇｅｄｂｅｔｗｅｅｎｔｈｅｓｅａａｎｄａｉｒｗｉｔｈｓｐｅｃｉａｌｉｎｔｅｒｆａｃｅ,ａｉｒ ｉｃｅ ｓｅａｓｕｒｆａｃｅ ,ｉｎｔｈｉｓａｒｅａ .Ｔｈｅｒｅｆｏｒｅｉｔｉ…     

重庆红池坝地电场变化分析

利用磁静日时序叠加方法和FFT频谱分析方法对红池坝地电场观测资料进行逐月处理,并与巫山建坪台地磁观测资料进行对比,分析红池坝地电场静日变化特征;计算红池坝台站磁暴期间产生的感应电场,与地电场观测数据对比,分析地电暴的特征。结果表明,静日随着月份的变化,相位发生变化,与巫山建坪地磁Sq变化一致;1月、2月、11月、12月的地电场日变幅明显小于其他月份;地电场显著周期成分与磁静日地磁场相同,并且通过周期成分的逐月对比分析得到,地电场与地磁D分量的不同周期成分的频谱值随时间的变化基本一致;某一方向的地电暴与该垂直方向的磁暴和该地区的电性结构有关;地电暴观测值与地磁感应电流计算值呈线性关系;地电暴变化与K值呈指数关系。     

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??????????????????????????????????????????????????????????????????????????????????仯???????????????1????????????????仯????????????????????????????????????????????????????????????????????????л?????????????仯????????????????????仯???????|2??????????????仯??????????????????|3?????μ?????????????????????????-???ο???????????仯???????????????????????????????????????     

1998-2002年中国地表太阳辐射的时空变化分析

地表太阳辐射是陆气能量交换过程中重要的物理参数和生态参数,利用卫星数据反演地表太阳辐射对于全面认识地表太阳辐射空间差异性和年际变化特征具有重要的意义。本文利用GMS-5静止气象卫星数据反演了中国区域1998-2002年地表太阳辐射值,在此基础上分析了我国地表太阳辐射的时空分布特征。结果表明:(1)青藏高原的地表太阳辐射最大,川黔地区最小,都位于北纬22^~35°这一带除川黔地区外,地表太阳辐射从东向西增强,西部随纬度升高而减小,东部以长江流域最小,向南北增加,西南最大,北部次之,至东北地区随纬度升高而减小(2)各月地表太阳辐射量分布复杂,最小值都出现在12月,但最大值出现时间受雨季影响很大,珠江、长江一带主要在雨季过后的7月,华北、东北和青藏高原主要出现在雨季前的6月及5月,西南地区则在季风雨季前的4-5月(3)5年来东部沿海地区地表太阳辐射增加了13.71%(+4.37W/m²·a),西藏高原地区地表太阳辐射减少了9.31%(-3.47W/m²·a),全国地表太阳辐射平均减少了0.84%(-0.27W/m²·a)。     

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???????????2002??2003???2004??2005??????????????????????????????????????????????????????????????????Ч??????????????????????????????????????????????????????????????????????????????????????????????????     

冀鲁豫地区重力场变化与封丘ML4.8地震关系的探讨

利用冀鲁豫测网的流动重力5期观测成果,探讨了重力场变化与封丘地震的关系。研究发现：冀鲁豫交界地区的重力点值在封丘地震前后出现了下降-上升-下降的变化过程,较好地对应了封丘ML4.8地震孕育 发震 震后调整的过程。该重力变化可能是封丘地震的异常反映。     

应用GPS观测青藏高原东北缘应力场变化

采用各向同性弹性地球模型推导了地面位移场速率与地壳内任意点应力场变化的边界积分关系,同时利用青藏高原东北缘1999～2001年观测的GPS资料对观测区地壳深度为5 km和25 km的主应力和最大剪应力进行了计算分析.结果表明,青藏高原东北缘的主应力变化主要集中在祁连山断裂、海原断裂等,在1920～1954年间历史上发生过多次震级为7.0～8.5级强震的断裂附近,并具有主应力变化沿断层走向分布、最大剪应力沿断层走向交替变化等特征.