Spatial distribution of primary production off Sanriku, northwestern Pacific, during spring estimated by Ocean Color and Temperature Scanner (OCTS)

An algorithm to estimate primary production by chlorophylla and sea surface temperature from satellite was evaluated with primary production data from the Ocean Color and Temperature Scanner (OCTS) Sanriku field campaign. The algorithm was applied to the data of OCTS on the Advanced Earth Observing Satellite (ADEOS) off Sanriku, North Pacific, on April 26, 1997. The wavelength-, time-, and depth-resolved model reasonably estimated the chlorophyll-specific primary production of each depth and water column integrated primary production. Although the model parameters were adjusted with the photosynthesis-irradiance curves obtained in the region, the resultant primary production was not significantly different from the global model of Antoine and Morel (1996). This is probably because there is considerable variability in the physiological parameters in this limited area, off Sanriku, and in the limited time, spring. Estimated integrated primary production was well correlated with chlorophylla but not with temperature. This indicates that the temperature dependence of the primary production was less than the variability caused by chlorophylla concentration.     

基于LANDSAT 8卫星热红外影像反演珠江口海表温度

海水表面温度是研究气候变化的重要参数,具有巨大的研究意义.在近海海域进行研究时对分辨率具有较高的要求.在珠江口区域,利用LANDSAT 8影像热红外波段,结合美国中等分辨率成像光谱仪(MODIS)的近红外水汽二级产品MOD05,运用Jiménez-Mu1oz提出的单通道法,优化了部分参数,建立海表温度的反演流程.为了确定可行性,将与LANDSAT 8影像同一日期的MODIS海表温度产品MOD28作为实验的对照组,利用实测数据对比验证2组数据的质量.结果表明,反演结果时空分布规律与MOD28趋近一致,均呈现为夏季西高东低而冬季西低东高,全年温度变化接近准正弦曲线,并且反演结果精度更优,具有良好的应用前景.     

水面薄层热结构变化诱发机制的模拟研究──空气冷/暖平流效应

利用ＨＤＧ－高灵敏度红外测温仪和常规测试仪器在低温实验室的水槽中,对气温可控条件下模拟形成空气冷／暖平流流经水面过程中的静态水面薄层热结构进行了分层同步测量。数据分析表明,在空气暖平流过程中的静态水面薄层热气温骤增２１．５℃,水面皮温商步增加达１．５７℃,温度响应系数为＋０．０７３,这种温度应系数在升温吕过程中,其平均值为０．０４６;而在冷平流（降温）过程中,则为－０．０２２,个别情况下,皮温降低     

Dual-polarized ratio algorithm for retrieving Arctic sea ice concentration from passive microwave brightness temperature

We present a new algorithm for retrieving sea ice concentration from the AMSR-E data, the dual-polarized ratio (DPR) algorithm. The DPR algorithm is developed using vertically and horizontally polarized brightness temperatures at the same channel of 36.5 GHz. It depends on the ratio of dual-polarized emissivity, α, which is determined empirically at about 0.92 by remotely sensed brightness temperature in winter and used for the other seasons as well. The ice concentration retrieved by the DPR is compared with those by the NT2 and ABA algorithms. Since the main difference among these algorithms takes place in marginal ice zones, 17 marginal ice zones are chosen. The retrieved ice concentrations in these zones are examined by the ice concentration obtained by the MODIS data. The mean error, root-mean-square error and mean absolute error of the DPR algorithm are relatively better than those from the other two algorithms. The results of this study illustrate that the DPR algorithm is a more accurate algorithm for retrieving sea ice concentration from the AMSR-E brightness temperature, and can be used for operational purposes.     

利用卫星资料反演月平均近海面气温和湿度

为弥补广阔海面上气象参数的观测数据的不足,利用专用成像传感器SSM／I和红外辐射计AVHRR资料进行近海面气温和湿度的反演,首先分析与近海面气温和湿度关系比较密切的几个气象因子及其相关性,并采用神经网络建立近海面气温和湿度与它们之间的关系,利用训练好的网络模型反演月平均近海面气温和湿度,并与TAO和NDBC提供的浮标及观测站的实测数据进行比较,近海面气温和相对湿度的均方根差分别为0．87℃和3．73％。低纬度反演的结果精度较高,达到0．53℃（气温）和2．03％（相对湿度）;较大的误差（气温1．06℃、相对湿度3．85％）主要发生在近岸和高纬度区,因为近岸的地形比较复杂,并且很容易受陆地气候的影响;高纬度地区的气候变化比较剧烈,同时目前能得到的高纬度地区的实测资料比较少,这些因素都会影响反演结果的准确度。     

Reconstruction of pH in the Surface Seawater over the North Pacific Basin for All Seasons Using Temperature and Chlorophyll-<Emphasis Type="Italic">a</Emphasis>

We found a simple function of pH that relates to sea surface temperature (SST, K) and chlorophyll-a (Chl, µg l⁻¹) using measured surface seawater pH, SST and Chl data sets over the North Pacific: pH (total hydrogen scale at 2°C) = 0.01325 SST − 0.0253 Chl + 4.150 (R² = 0.95, p < 0.0001, n = 483). Moreover, evaluating the seasonal variation of pH based on this algorithm, we compared the measured pH with the predicted pH at the observational time series stations in subpolar and subtropical regions. The average of ΔpH (measured - predicted, n = 52) was 0.006 ± 0.022 pH. Therefore, the combination of SST and Chl can allow us to determine the spatiotemporal distribution of pH over the North Pacific. Using the climatological data sets of SST and Chl with our pH algorithms, we have described the seasonal distributions of pH at 25°C (pH₍₂₅₎) and pH in situ temperature (pH_(T)) over the North Pacific surface water.     

Four-dimensional analysis of the hydrophysical fields in the tropical Atlantic using a complete non-linear model of currents: Numerical simulation andin situ data treatment

This paper reports the results of a numerical modelling experiment on estimating the accuracy of four-dimensional analysis using the twins technique.In situ temperature and salinity data collected in the tropical Atlantic are treated using a special algorithm. Some features resulting from the disagreement between the hydrophysical fields at the time of assimilation are discussed.Translated by V. Puchkin.     

A growth model for a hyperiid amphipodThemisto japonica (bovallius) in the Japan Sea,based on its intermoult period and moult increment

Themisto japonica was reared at 1, 5, 8, and 12°C in the laboratory to estimate its intermoult period (IP) and increase in body length (BL) at each moulting (BL).IP was found to be a function of temperature andBL of the specimens, longerIPs being associated with lower temperature and larger specimens.BL was not affected by temperature but increased with growth of the specimens. Observations on consecutive moults indicated that one new segment was added to pleopod rami at each moulting.BLs obtained from the measurement of the segment number of pleopod rami andBL of wild specimens were slightly larger than values obtained from laboratory-raised specimens.IP data obtained from laboratory-reared specimens are combined withBL data from wild specimens to establish a growth model forT. japonica from its release from the marsupium (1.31 mmBL) to the maximum size (17 mmBL) as a function of temperature. This growth model predicts that a total of of 18 moultings is needed forT. japonica to reach the maximum size regardless of temperature, although the time needed to reach the maximum size is highly dependent on temperature. The life cycle, from the newly released larvae (1.31 mmBL) to the spent females (10–17 mmBL), was estimated as 333–593 days at 1°C, 195–347 days at 5°C, 118–210 days at 10°C and 82–146 days at 15°C; the last may be the upper temperature limit forT. japonica. Growth rates ofT. japonica expressed on the basis of body mass are comparable to the rates of euphausiids of equivalent size when the effect of temperature is accounted for. Feeding conditions ofT. japonica in the field are also discussed.     

Improved interpretation of the data of observations of the black sea by a SeaWiFS satellite instrument in autumn 1998

By analyzing, as an example, the data of observations of the Black Sea from the space in autumn 1998, we conclude that, in some cases, the atmospheric distortions manifest themselves in all measuring channels of SeaWiFS instruments and lead to significant errors in determining the concentration of chlorophyll according to the standard NASA algorithm. After additional rejection of the data with negative values of the spectral brightness of the sea surface at a wavelength of 412 nm, the results of evaluation the concentration of chlorophyll are in good agreement with the available data of direct measurements. We also present a detailed discussion of some specific features of operation of the NASA algorithm of atmospheric correction playing an important role in the interpretation of the data of observations of the Black Sea. __________ Translated from Morskoi Gidrofizicheskii Zhurnal, No. 2, pp. 68–79, March–April, 2008.     

Scales of recruitment variability in warming waters: Comparing native and introduced oysters in Hood Canal,Washington, USA

The effect of climate change on natural oyster recruitment has the potential to disrupt many of the ecosystem services oysters provide. Due to the temperature‐sensitivity of reproduction, oyster recruitment may shift as water temperatures rise. A biological imprint of climate change was revealed in a multi‐decadal time series of recruitment of non‐native Pacific oysters (Crassostrea gigas) in the main stem of Hood Canal, Washington, USA, extracted from historic fishery documents. Water in July and August warmed significantly from 1945 to 1995 (0.028 ± 0.004°C per year [±SE]) and accounted for an increase in Pacific oyster recruitment (7% per year, 0.028 ± 0.006 spat per year on log scale [±SE]); recruitment also strongly tracked inter‐annual variability in summer water temperature. Methods used to collect historical data were repeated in 2013–2015 when recruitment of both Pacific oysters and native Olympia oysters (Ostrea lurida) were recorded in main stem and lower Hood Canal. Both historic and modern data show large variation within and between years for temperature as well as recruitment. The modern data add information regarding spatial variation, in that recruitment patterns in the two regions of Hood Canal were decoupled. As temperatures continue to increase, non‐native Pacific oysters are likely to be favored over Olympia oysters, which recruit earlier at lower temperatures and presently contribute less than half of total oyster recruits. Future recruitment, however, may be limited by environmental factors other than temperature, a point indicated particularly in Hood Canal where many subtidal species already respond strongly to gradients in dissolved oxygen.     

Study of intensive internal waves in the shelf zone of Morocco

Conditions for generating a train of intensive internal waves and a solitary internal wave, as well as the evolution and dissipation of shelf waves have been studied using temperature measurements at six buoy moorings and an array of distributed temperature meters towed in the Morocco shelf zone. Waves of each type have been numerically simulated. The paper's focus is the generation of a baroclinic tide in a shelf zone and the occurrence of a packet of intensive internal waves on the back slope of a baroclinic wave. Besides, it studies the mechanism responsible for the generation of a solitary internal wave of soliton type. Thein situ data and the model data are matched up and shown to be consistent, in terms of quality and quantity. Translated by Vladimir A. Puchkin.     

Impact of seawater temperature on growth and recruitment of invasive fouling species at the global scale

Epibenthic fouling communities are dominated by invasive species that are globally distributed and can have substantial ecological and economic impacts in coastal habitats. Little is known about inter‐specific differences in life history strategies that cosmopolitan invasive species employ to acquire space and succeed in invaded habitats. The goal of this study was to examine the impact of seawater temperature on recruitment and growth of several cosmopolitan fouling species including the tunicates Botrylloides violaceus, Botryllus schlosseri and Diplosoma listerianum, as well as the bryozoans Bugula neritina and Watersipora subtorquata. To do this, the iBARGE (Invasive Bryozoan and Ascidian Recruitment and Growth Experiment) program was developed, utilizing a global network of collaborators to examine patterns over a broad geographic scale and a wide range of naturally varying seawater temperatures. This project produced a data set of thousands of photographs from 18 marinas in five countries in summer 2014 and 2015, allowing for recruitment and growth to be tabulated at a variety of temperatures. Thermal growth curves were established for five invasive species, and growth was compared among temperatures across sites, revealing a significant thermal effect. Recruitment was linked to temperature, with generally higher recruitment at warmer seawater temperatures and the highest peak recruitment values for the bryozoan Bugula neritina. Temperature also changed the relative importance of growth and recruitment for several species. These results paint a complex picture of the interactions among invasive fouling species as they relate to seawater temperature.     

Development of a Neural Network Algorithm for Retrieving Concentrations of Chlorophyll, Suspended Matter and Yellow Substance from Radiance Data of the Ocean Color and Temperature Scanner

An algorithm is presented to retrieve the concentrations of chlorophyll a, suspended pariclulate matter and yellow substance from normalized water-leaving radiances of the Ocean Color and Temperature Sensor (OCTS) of the Advanced Earth Observing Satellite (ADEOS). It is based on a neural network (NN) algorithm, which is used for the rapid inversion of a radiative transfer procedure with the goal of retrieving not only the concentrations of chlorophyll a but also the two other components that determine the water-leaving radiance spectrum. The NN algorithm was tested using the NASA's SeaBAM (SeaWiFS Bio-Optical Mini-Workshop) test data set and applied to ADEOS/OCTS data of the Northwest Pacific in the region off Sanriku, Japan. The root-mean-square error between chlorophyll a concentrations derived from the SeaBAM reflectance data and the chlorophyll a measurements is 0.62. The retrieved chlorophyll a concentrations of the OCTS data were compared with the corresponding distribution obtained by the standard OCTS algorithm. The concentrations and distribution patterns from both algorithms match for open ocean areas. Since there are no standard OCTS products available for yellow substance and suspended matter and no in situ measurements available for validation, the result of the retrieval by the NN for these two variables could only be assessed by a general knowledge of their concentrations and distribution patterns. This revised version was published online in July 2006 with corrections to the Cover Date.     

Fine resolution 3D temperature fields off Kerguelen from instrumented penguins

The use of diving animals as autonomous vectors of oceanographic instruments is rapidly increasing, because this approach yields cost-efficient new information and can be used in previously poorly sampled areas. However, methods for analyzing the collected data are still under development. In particular, difficulties may arise from the heterogeneous data distribution linked to animals’ behavior. Here we show how raw temperature data collected by penguin-borne loggers were transformed to a regular gridded dataset that provided new information on the local circulation off Kerguelen. A total of 16 king penguins (Aptenodytes patagonicus) were equipped with satellite-positioning transmitters and with temperature–time–depth recorders (TTDRs) to record dive depth and sea temperature. The penguins’ foraging trips recorded during five summers ranged from 140 to 600 km from the colony and 11,000 dives >100 m were recorded. Temperature measurements recorded during diving were used to produce detailed 3D temperature fields of the area (0–200 m). The data treatment included dive location, determination of the vertical profile for each dive, averaging and gridding of those profiles onto 0.1°×0.1° cells, and optimal interpolation in both the horizontal and vertical using an objective analysis. Horizontal fields of temperature at the surface and 100 m are presented, as well as a vertical section along the main foraging direction of the penguins. Compared to conventional temperature databases (Levitus World Ocean Atlas and historical stations available in the area), the 3D temperature fields collected from penguins are extremely finely resolved, by one order finer. Although TTDRs were less accurate than conventional instruments, such a high spatial resolution of penguin-derived data provided unprecedented detailed information on the upper level circulation pattern east of Kerguelen, as well as the iron-enrichment mechanism leading to a high primary production over the Kerguelen Plateau.     

Estimation of standing stock of chlorophylla and primary production from remote-sensed ocean color in the Oyashio region, the Western subarctic Pacific, during the spring bloom in 1997

In order to examine the applicability of remotely-sensed ocean color for the estimation of phytoplankton biomass and primary production in the Oyashio region, the western subarctic Pacific, vertical distributions of chlorophylla concentration and primary production were observed in April and May 1997. Spring bloom was observed in both April and May, and the surface concentration of chlorophylla exceeded 40 mg m⁻³. The relationship between the standing stocks of chlorophylla within the layer from the sea surface to one optical depth (0–1/k layer) and the surface chlorophylla concentration is expressed as a Michaelis-Menten equation. The mean ratio of the standing stock of chlorophylla in the euphotic layer to that in the 0–1/k layer was 4.41, this ratio did not significantly differ from 4.61 which was obtained at homogeneous distribution of chlorophylla within the euphotic layer. These facts suggest that the distribution of chlorophylla could be assumed to be homogeneous in the euphotic layer during the spring bloom. Results of primary production measurements by simulatedin situ method were compared with those by an algorithm with two variables; chlorphylla and non-spectral PAR. Daily primary production in the euphotic layer estimated by the algorithm varied in a range of 38–274% of that estimated by incubation, although the primary productions by the algorithm agreed with those by the incubation at a half of stations. Primary production within the euphotic layer calculated using simply the surface data was the same as that estimated using vertical distribution of chlorophylla. These results show that the primary production in the euphotic layer may be estimated from the remote sensed measurements during the spring bloom in the Oyashio region.     

Prediction of time series by the method of analogs

We consider an algorithm of prediction of nonstationary time series based on the method of analogs. Since the exhaustion of a great number of versions is required for the adjustment of the parameters of the optimal prognostic model, we describe a genetic algorithm used in this case. We consider several procedures of construction of prognostic models. The numerical results are used to choose the procedure guaranteeing the minimum mean square error. The parameters of the model affecting the quality of predictions are determined. The proposed method is tested by using the reanalysis data (NCEP/NCAR project) on the anomalies of the monthly average surface air temperature for 58 yr. The results of predictions are compared with the estimates obtained by the linear regression method. It is shown that the method of analogs gives satisfactory results even in the cases where the regression methods lead to errors equal to the variance of predicted series. __________ Translated from Morskoi Gidrofizicheskii Zhurnal, No. 4, pp. 70–80, July–August, 2007.     

HY-2微波辐射计降雨条件下海面风速反演算法研究

由于降雨改变了海洋-大气的辐射/散射特性,长期以来星载遥感器在降雨条件下进行海面风速信息提取存在困难。本文针对自主海洋动力环境卫星海洋2号（HY-2）搭载的扫描微波辐射计,分析了不同频段亮温对降雨和海面风速敏感性,自此基础上获得了一种对降雨不敏感的亮温通道组合,该亮温通道组合对海面风速的敏感性甚至高于原有亮温通道。本文利用该亮温通道组合建立了降雨条件下的风速反演算法,并将反演结果与WindSat全天候风速产品、HY-2微波辐射计原有风速产品以及浮标实测数据进行了比较。结果表明本文算法在降雨条件下的反演误差小于2m/s,明显优于原有HY-2微波辐射计风速产品,验证了本文发展的算法在降雨条件下的风速反演能力。     

温度和饵料对双刺纺锤水蚤产卵率和孵化率的影响

Acartia bifilosa (Copepoda: Calanoida) is a common species in offing of global waters and it often becomes dominant species in some estuaries. This species develops different strategy according to variation of environment. Despite its ecological role, Acartia bifilosa also has been concerned as live feeds in aquaculture, but study on egg production rate of this species in saturated diet in different temperature and different diet is so far not available. In order to interpret the importance of temperature and diet on natural population variation and also on aquaculture as foods of larval fish, the functional response of reproductive success of Acartia bifilosa was quantified in the laboratory using different temperatures and diets. Acartia bifilosa was captured in Jiaozhou Bay and acclimated to corresponding temperature for 3~4 days. In order to reduce the effect of large extent temperature range on organism, we captured Acartia bifilosa from March to June and acclimated them to temperature which is adjacent to natural temperature. Daily egg production rate (EPR, eggs female-1day-1) was detected for 11~15 days at 5 different temperatures ranged from 8.0 to 23 °C and all the females was feed on saturated diet all through the experiments. EPR on first day was not calculated in the mean EPR to eliminate the effect of different diets. This result showed that Acartia bifilosa spawned continuously during the experiment days and no obvious regulation was found. EPR was positively correlated with temperature from 8.0 to 23 °C. The highest mean EPR was observed at 23 °C (7.3 eggs female-1day-1), and the lowest value was found at 8 °C (3.8 eggs female-1day-1). The effect of diets on EPR was evaluated at two different temperatures (8.0 °C and 12.5 °C). Same trends were found at the two temperatures: mean EPR fed on Chaetoceros sp. was higher than that fed on Skeletonema costatum, and during the 14-day experiments, EPR was higher for females fed on Skeletonema costatum than chaetoceros sp. in the first few days (3~5 days), but it changed reversely in the subsequent days until the end of the experiments. Hatched eggs were observed in the two experiments at temperature 8°C and 12.5 °C and no diapause eggs were found. The hatching success rate was low at 8°C but reached 93.2% at 12.5 °C. According to the results in this paper, we detected the comfortable temperature range for EPR, and evaluated the effect of Skeletonema costatum which often brings out red tide in natural waters. These results are beneficial to ecological research for explaining population variation and population recruitment of this species, These data also can be used in Acartia bifilosa aquaculture.     

海洋二号微波散射计极地海冰识别算法研究

An Antarctic sea ice identification algorithm on the HY-2A scatterometer(HSCAT) employs backscattering coefficient(σ0) and active polarization ratio(APR) for a preliminary sea ice identification.Then standard deviation(STD) filtering and space filtering are carried out.Finally,it is used to identify sea ice.A process uses a σ0,STD threshold and an APR as sea ice indicators.The sea ice identification results are verified using the sea ice distribution data of the ASMR2 released by the National Snow and Ice Data Center as a reference.The results show very good consistence of sea ice development trends,seasonal changes,area distribution,and sea ice edge distribution of the sea ice identification results obtained by this algorithm relative to the ASMR2 sea ice results.The accuracy of a sea ice coverage is 90.8% versus the ASMR2 sea ice results.This indicates that this algorithm is reliable.     

Tropospheric temperature interannual variations associated with decadal changes in the North Atlantic Oscillation

This paper studies the causes and mechanisms of the formation of extreme anomalies in the tropospheric temperature associated with the North Atlantic Oscillation (NAO). Our approach is based on understanding that, in the annual cycle, continental-scale tropospheric temperature anomalies (planetary waves with longitudinal wave numbers of 1–3) can both intensify under the direct action of heat inflow as an energy source for these anomalies (radiation cooling/heating) and weaken as a result of the destructive action of heat inflow under temperature advections with the opposite (to the heat inflow) sign [4, 5]. According to the monthly mean data of the NCEP/NCAR reanalysis over the 40-year period, seasonal air temperature anomalies have been studied at the level 850 hPa (T ₈₅₀) in different regions of Eurasia. It has been confirmed that the negative NAO phase in winter is favorable for preserving negative T ₈₅₀ anomalies in the east of the continent at this time of year, whereas the positive NAO phase is favorable for negative T ₈₅₀ anomalies in the west. However, it has been revealed that this dependence was critically violated during the winter seasons approximately two years before an extreme event. This was explained by the fact that, in those years, the NAO influence on winter T ₈₅₀ anomalies was limited. This paper formally considers a certain mechanism of anomalous heat inflow as an energy source for these anomalies with functions of the formation (intensification) of negative T ₈₅₀ anomalies in winter and positive T ₈₅₀ anomalies in summer, as well as with a function of the limitation of the influence of the predominant dynamic mode on some regions of the continent. It is shown that, in the 1960s, T ₈₅₀ anomalies with negative NAO indices in the east of the continent were governed by a hypothetic mechanism of heat inflow as an energy source for anomalies; in 1980s, at prolonged positive NAO indices, T ₈₅₀ anomalies in the west of the continent could also be governed by this mechanism. This paper, within the accepted degree of detail, demonstrates the process of limitation of the NAO influence in some years (1966, 1967, 1987, and 1988), which leads to an unbalance of the anomalies and a possible extreme phenomenon. It is demonstrated that, in some seasons, the anomalies were not governed by the hypothetic mechanism of the heat inflow under the action of large NAO changes and a complete upset of the annual cycle of anomalies. Determining the first indicators of the unbalance, which can lead to extreme anomalies, is shown to be difficult if it is based only on an analysis of winter seasons (as is the case with most of the works) without invoking the annual trends of the tropospheric temperature and the NAO index.