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1.
�ϲ�λ������ĵر������仯�����о�   总被引:10,自引:8,他引:2  
??????????????????????????????????ζ??λ??????????????仯????????о????????????????????????????????仯???????????????1)??1??????????????????仯?У??????仯?????????????仯????λ??仯?????????С???????????????????С?????????????????仯?????????2?????????????????Σ??????????????????????仯???????????λ??????????????????????????????仯????????????????????????????????????仯???????????  相似文献   

2.
??2010?????????????????????????????????????6??2013??12??16???5.1????????????仯??????????????仯????????????仯?????????????????????з???,?????????1)?????????????????????????????????????飬????????仯????????????????????;2??2010????????????????仯??????????λ?仯??????????????????????仯????????????к?????????????????Ч????и?????????£???????????仯??????????Щ?????;3????????????????????????????????????????????仯??????????????????????????????????仯?????????????????????????????仯???????????????????????????????????????????????????  相似文献   

3.
????????????λ??????仯???????仯??????????????о?3???????????????????????????????????????? ???? ????????????????????????????????????1??????????λ????????????仯???????????仯?????С??2?????????仯???????????????? 3?????????????仯?????????仯??????????λ??????С??  相似文献   

4.
??????????????????????????????????仯??????????????????????????仯?????????λ?仯?????????????????????????????????????????????????????????仯?????????????????????????С?????????????ε??????仯????й??????????????????????????????????????????????????????????????????????????????????????仯????????  相似文献   

5.
???e??????????????????2005??2007??????????????????????????????ML4.7????????????????????????仯???????о??????????????????????????仯(????????????????仯)???????????????и?????????????????????????????????????仯????????????????????????????????????????仯??????????????????????????????仯??????  相似文献   

6.
GRACE̽��ǿ���������仯   总被引:1,自引:0,他引:1  
????GRACE??????????????????й??????????????????仯?????????????仯???????δ??????????????仯???????????????????????????????????Χ???仯???????????????????Ms8.0?????????????????仯???????????????о?????????????????????????????????????????????????????????仯????????  相似文献   

7.
????GRACE??????????????????????????????????????仯??????????????о??伾????????仯??????????????????仯?????????ж??????????????????????????????仯???????????????δ?????????仯???????о???????????GRACE????????????????????????????仯??????????????cm????Ч???仯??  相似文献   

8.
????????????£??????????????????????仯????????????????????????????????仯?????????????????????????????????????????????????±仯??????????????????????塣???????????????????仯?????????????????????????????????????о????????  相似文献   

9.
??M7.0??????????????YRY-4???????????????????????仯?????????仯??????????????????????????¥??????????????????????????????????????????????????????·???????????????′????λ?仯??????????飬???????????????????????????????仯??????????????????仯???????????????????????????????????????????????????????г????????  相似文献   

10.
???ó????????????С???任????????Ms5.1????????????????????????仯??????з???????????????????2????????????????????????????????????????????????????к??????????????????????????仯???????????????????????????????С??????????????????仯???????????????????????????仯?????????????????????????????仯??  相似文献   

11.
Collinear analysis technique is widely used for determining sea surface variability with Geosat altimeterdata from its Exact Repeat Mission(ERM).But most of the researches have been only on global scaleor in oceans deeper than 2000 m.In shallow shelf waters this method is hampered by the inaccuracy ofocean tide data supplied with Geosat Geophysical Data Records(GDRs).This work uses a modified collinearanalysis technique characterized by simultaneous separation of mean sea level and ocean tide with theleast squares method,to compute sea surface variability in the Northwest Pacific Ocean and eastern ChinaSeas.The mean sea level map obtained contains not ouly bathymetric but also dynamic features such asamphidromes,indicating considerable improvement over previous works.Our sea surface variability mapsshow clearly the main current system,the well-known Zhejiang coastal upwelling,and a northern East Chi-na Sea meso-scale eddy in good agreement with satellite sea surface temperature(SST)observation and his-to  相似文献   

12.
IGGGRACE01S模型确定的海面地形和地转流   总被引:3,自引:2,他引:1  
用IGGGRACE01S、EIGENGRACE02S和EGM96地球重力场模型的前80阶分别计算出全球大地水准面,再与多颗测高卫星资料得到的平均海面高模型KMS04差分,构制出3种海面地形,并计算出相应的地转流。与Williams绘制的全球主要海流结果相比,不难看出,重力场模型IGGGRACE01S、EIGENGRACE02S的结果能清晰地显示出大尺度海洋地转流,而EGM96模型结果在赤道地带不明显。上述结果不仅显示了GRACE地球重力场模型IGGGRACE01S和EIGENGRACE02S具有较高精度探测地转流的能力,而且也表明了它们的长波精度优于EGM96模型,从应用角度展示了GRACE结果的有效性。  相似文献   

13.
全球海水质量季节变化研究   总被引:6,自引:3,他引:3  
海平面变化是海水密度和海水总质量变化的结果,是全球气候变化研究的重要内容之一。利用GRACE卫星观测得到的重力场系数变化资料及重力卫星测高得到的海平面变化扣除由模式得到的热容海平面变化,研究了海水的质量变化。研究结果显示,由这两种方法得到的海水质量变化有非常明显的季节性特征,且其周年振幅和位相非常接近。  相似文献   

14.
???????????????о???2001??2007????????й???????????????????仯????????????ECCO?????????????????????????????????????о???????????????Χ??????????????÷?????????ECCO????????????????ú?á?  相似文献   

15.
The sea surface height oscillation with a quasi-four-month period (SSHO4) along continental slope in the northern South China Sea (NSCS) is detected using satellite altimeter data and an ocean model simulation. The SSHO4 is at southwest of Dongsha Island, and is characterized by a wavelength of ~600 km and a southwestward phase speed of ~0.1 m/s. Crossing the climatological background SST front, geostrophic currents corresponding to the SSHO4 generally induce sea surface temperature (SST) "tongues" during January-March. The cold and warm SST tongues appear southwest of cyclonic and anticyclonic eddies, respectively. The distance between the warm and cold SST tongues is about half the wavelength of the SSHO4. The geostrophic currents play an important role in lateral mixing, as manifested by the SST tongue phenomena in the NSCS.  相似文献   

16.
卫星热遥感技术在地震预测中应用研究进展   总被引:6,自引:3,他引:3  
已有的研究结果表明。许多强地震前存在热异常。异常的表现形式是多种多样的,异常的时空分布与异常区的地质构造、地理环境、季节、天气等因素有关。内陆地区的地震前常产生热红外异常,而沿海地区的地震前则更容易出现潜热通量异常。红外辐射可以通过卫星红外通道的传感器观测到。而潜热通量可以使用微波遥感观测资料计算或红外遥感与地面观测资料联合反演。应用卫星遥感技术研究地震前的热异常虽然目前仍然存在许多问题,但随着技术的进步和研究工作的深入,应该能在地震预测中发挥重要作用。  相似文献   

17.
CHEMICAL CHARACTERISTICS OF THE COASTAL SEA OFF TIANHENG ISLAND   总被引:1,自引:0,他引:1  
Chemical characteristics of the coastal sea off Tianheng Island were investigated from May 1990 toFebruary 1991 in this study which included distribution pattern,seasonal variability and the controlling fac-tors of oxygen,pH,nutrients.The rich nutrient salt content is suited for phytoplankton growth andmariculture.The coastal sea waters is of good quality based on the national standard of seawater qual-ity in terms of pH,oxygen,and nutrients,the main controlling factors for which in the investigated seaarea are hydrographic(salinity,temperature,river runoff,etc.),biological(photosynthesis of plankton),andanthrogenic(fertilizing in the nearby land and sea).  相似文献   

18.
The chlorophyll a(Chl a) is an important indicator of marine ecosystems. The spatiotemporal variation of the Chl a greatly aff ects the mariculture and marine ranching in coastal waters of the Shandong Peninsula. In the current study, the climatology and seasonal variability of surface Chl-a concentration around the Shandong Peninsula are investigated based on 16 years(December 2002–November 2018) of satellite observations. The results indicate that the annual mean Chl-a concentration is greater in the Bohai Sea than in the Yellow Sea and decreases from coastal waters to off shore waters. The highest Chl-a concentrations are found in Laizhou Bay(4.2–8.0 mg/m 3), Haizhou Bay(4.2–5.9 mg/m 3) and the northeast coast of the Shandong Peninsula(4.4–5.0 mg/m 3), resulting from the combined eff ects of the intense riverine input and long residence time caused by the concave shape of the coastline. The seasonal Chl-a concentration shows a signifi cant spatial variation. The Chl-a concentrations in these three subregions generally exhibit an annual maximum in August/September, due to the combined eff ects of sea surface temperature, river discharge and sea surface wind. In the southeast coast region, however, the Chl-a concentration is lowest throughout the year and reaches a maximum in February with a minimum in July, forced by the seasonal evolution of the Yellow Sea Cold Water and monsoon winds. The interannual Chl-a concentration trends vary among regions and seasons. There are signifi cant increasing trends over a large area around Haizhou Bay from winter to summer, which are mainly caused by the rising sea surface temperature and eutrophication. In other coastal areas, the Chl-a concentration shows decreasing trends, which are clearest in summer and induced by the weakening land rainfall. This study highlights the diff erences in the Chl-a dynamics among regions around the Shandong Peninsula and is helpful for further studies of coupled physical-ecological-human interactions at multiple scales.  相似文献   

19.
?????????????????????????????????????????????????????????й???????????????????????????ETOPO2v2????????????????????й????????????2???2????????Σ?????ETOPO2v2??????????????б??????????????????????Ч???  相似文献   

20.
Observations of current velocity, pressure, and temperature in the eastern Yellow Sea during January 10 to April 12, 1986, and geostrophic winds calculated from surface pressure distributions, are analyzed for a study of the synoptic band response of the Yellow Sea to the wintertime winds. Currents in shallow coastal waters along a straight portion of the coast are mostly downwind to the south. Along the northern coast sheltered by a large bay, the current is persistently northward. This could be the result of a domination by geostrophic currents associated with an offshore-directed density gradient which is known to form in areas around this location. In the Yellow Sea trough, strong upwind flows are found to follow closely surges in the north wind. Co-spectral analyses show that these events are driven by a longitudinal pressure gradient associated with the sea-level set-up along the west coast of South Korea under a prevailing north wind.  相似文献   

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