基于浮標(biāo)觀測(cè)資料及再分析數(shù)據(jù)集的北歐海海氣熱通量特征研究
[Abstract]:As the only passage for the North Atlantic warm current to enter the polar region, the Nordic Sea is the most important passage for the radial heat transfer in the northern hemisphere's subpolar region. During the process of transport, the heat in the ocean is released into the atmosphere by sensible heat and latent heat, which is an important part of the atmospheric circulation in the northern hemisphere. Sea area is the core area of Arctic and North Atlantic Oscillation. On the one hand, the turbulent heat exchange process affects the energy budget at the lower atmosphere interface of the Nordic Sea; on the other hand, the change of turbulent heat exchange between sea and air will lead to the cooling of the local sea surface, thus causing the abnormal change of the heat content in the upper ocean, and then to the deep North Atlantic. There is an indirect effect on the formation of water. The change of sea-air heat transfer in the Nordic Sea is also closely related to the cyclone activity in the Greenland Sea. The path and intensity of the cyclone activity in the Greenland Sea affect the liquid water transport and sea ice change in the Arctic Atlantic sector. Therefore, the study of the sea-air heat flux in the Nordic Sea is of great significance to the study of the whole Northern Hemisphere. Meanwhile, the variation of turbulent heat flux at the air-sea interface is of great significance to the driving of ocean-atmosphere circulation models, the study of air-sea interaction, and the evaluation and evaluation of numerical weather prediction models. However, there are uncertainties in the current air-sea flux data sets (including satellite remote sensing inversion data and reanalysis data). One of the main reasons for the deviation is that the estimation of sea surface roughness parameters in the block algorithm is not accurate enough, and the other is that there are measurement errors in the air-sea interface elements needed to calculate the heat flux. Therefore, it is very urgent and important to make full use of the buoy field data to improve the estimation method of air-sea heat flux and to verify and compare the commonly used data products. In this paper, the data obtained are analyzed and described, and the turbulent heat flux on the sea surface is calculated. The relationship between sea surface elements and heat flux and the short-term variation characteristics of heat transfer during the observation period are further analyzed. The sensible heat flux at the sea-air interface is - 5.21W/m~2~41.15W/m 2, and the latent heat flux is - 3.59W/m~2~82.81W/m 2. The ocean-to-atmosphere heat flux is positive, indicating that the ocean-to-atmosphere heat flux is the main heat flux in the Lofton Basin in summer. Both of them show an upward trend, and the latent heat flux is 3.4 times of the sensible heat flux on average. Power spectrum analysis shows that sensible heat flux has a main period of 15.4 days, while latent heat flux has a high frequency period of 15.4 days and 3 days. The data of ERA-Interim and OAFlux are better than those of NCEP1 and NCEP2. The difference between ERA-Interim and NCEP2 is the largest. ERA-Interim estimates sensible heat better than the other three. Four estimates of latent heat also increase when the latent heat value is large. NCEP1 and NCEP2 overestimate the measured data compared with ERA-Interim and OAFlux. These errors should be attributed to the estimation bias of sea surface wind speed and specific humidity.OAFlux is superior to the other three methods in estimating latent heat.This paper analyses the seasonal and long-term spatial and temporal variations of the Nordic Sea using ERA-Interim monthly mean data with the best agreement with the measured data.The results show that the Nordic Sea is less of a global ocean. The sensible heat and latent heat release in several strong air-sea coupled waters are greater than 0 (the ocean is positive to the atmosphere) all year round, and the three heat fluxes reach the maximum in winter, while the summer is the smallest, and the annual variation is a single peak periodic change. The largest internal variation is in the warm current recirculation zone on the western side of Svalbard Island, while the greatest change in latent heat is in the west of Iceland and the western part of the western part of the West Spitsbergen Current. The latent heat fluctuation is only half of the sensible heat in the southern part of the sea. The annual average of time series shows that the first mode is gradually changing from positive to negative anomaly, and the overall decrease trend of net heat is also shown from the side. The contribution rates of the second mode and the third mode are 12.5% and 11.1%, respectively. The space shows the North-South dipole and the east-south dipole respectively. Western seesaw distribution, in which the second mode has an obvious period of about four years, the third mode time series and NAO index have a positive correlation of 0.6, indicating that the North Atlantic Ocean Oscillation brings about a change in atmospheric pressure in the Nordic Sea air-sea heat transfer has a small impact. The relationship between the air-sea net heat flux and mixing layer depth, mixing layer temperature and sea surface cyclone activity in Northern Europe is preliminarily discussed. It is found that there is a one-month advance correlation between the heat flux and mixing layer depth, that is, the mixing layer will deepen (shallow) after one month when the ocean releases (absorbs) heat to the atmosphere, and the correlation reaches 0.9, in which the warm current phase is formed. There is a two-month advance correlation between heat flux and mixing layer temperature, that is, the mixing layer will become cold (warm) two months after the ocean releases (absorbs) heat to the atmosphere, the correlation reaches - 0.9, and the spatial distribution is more consistent. Cyclonic activity is also restricted by other factors.
【學(xué)位授予單位】:上海海洋大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:P715.2;P732.6
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