Application of remote sensing and multivariate analysis to the agroclimatic characterization of a Mediterranean region

Summary This paper presents a climatological application of the combination of remote sensing data and multivariate analysis. It proposes a methodology to perform an agroclimatic characterization of a region with the aim of determining homogeneous areas. This methodology is applied to Catalonia, in the northwest of the Mediterranean Sea, in the Iberian Peninsula. To this end various multivariate analysis techniques have been applied to data from 107 meteorological stations and to digitally processed AVHRR images from a NOAA satellite (ground surface temperature and thermal inertia). Values of emissivity and albedo for different land uses and phenomenological states, in addition to the most suitable algorithms for the soil surface temperature, have been obtained. Combining this information with orographic characteristics and the Papadakis classification, a final map is obtained with 68 homogeneous zones for the period between April and October, the most important for the agriculture of the area studied.With 5 Figures     

利用NOAA/AMSU资料和GRAPES同化系统对陆面比辐射率计算的改进研究

地表比辐射率计算的不确定性,直接影响到卫星资料在数值预报中同化应用的效果。本文采用美国NOAA/NESDIS的Weng等[1,2]提出的复杂陆面比辐射率模式,同时用NOAA卫星AMSU-ACh1或Ch2反演的地表比辐射率来调整该模式所需的地表参数,从而在缺少详细地表参数的情况下,改进AMSU-A Ch3和Ch15的地表比辐射率计算精度。在积雪地表情况下,用NOAA卫星AMSU-A资料直接反演各通道的比辐射率,在GRAPES同化系统中的应用表明,结果有明显的改进。     

冬小麦田午时冠层温度与气温和地温的关系

基于野外实测数据，分晴日、阴日及不区分阴晴3种情况，研究了湿润与较干冬小麦田午时冠层温度、气温和地温间的定量关系。结果表明:湿润麦田晴日使用气温预测冠温效果最好，基于最终模型估算冠温的平均误差仅1.03℃，标准差为1.26℃。较干麦田晴日与阴日用地温估算冠温效果最佳，基于最终模型估算冠温的平均误差分别为1.64，1.54 ℃；其估算冠温的标准分别为2.05，1.89℃。用本文统计建模法预测结果的误差低于目前用NOAA影像反演冠温时2~3℃的均方根误差。研究结果也说明使用气温和地温预测麦田冠温是切实可行的。这就为冠温数据的获取提供了廉价有效的新方法；同时也使利用遥感影像与地面气象站常规观测资料相结合的方法，在较大的区域范围内进行冬小麦需水预测成为可能。     

基于植被供水指数的农田干旱遥感监测研究

应用1995-2000年NOAA卫星资料，结合广西贵港市的数字化土地利用信息，通过时序分析方法找出典型作物代表区，并计算各典型代表区的平均、最大、最小VSWI（Vegetation Supply Water Index；植被供水指数）特征值，归纳分析水田和旱地的干旱指标，继而根据典型代表区的平均VSWI值划分旱情等级，生成农田旱情遥感图像，评估干旱情况。试验表明，该方法可用于湿润、半湿润地区的农田干旱遥感监测。     

Radiative surface temperature and energy balance of a wheat canopy

The sensible heat loss from a stand of winter wheat was calculated from radiometric measurements of crop surface temperature, measurements of air temperature, and an atmospheric resistance to momentum transfer; corresponding latent heat flux was obtained through the energy balance equation. These estimates of sensible and latent heat were compared with fluxes from the Bowen Ratio method. When radiative temperature was derived using a measured canopy emissivity of 0.98, calculations of sensible heat flux were systematically 50–100 W m^-2 less than Bowen Ratio values. The two techniques agreed more closely when an apparent emissivity of 0.96 was used with an apparent reflectivity of 0.03. The mean difference between the estimates of latent heat flux was then -16 ± 32 W m^-2.The surface temperature method showed less systematic error in comparison with the Bowen Ratio values than did estimates using the aerodynamic method.On leave from: University of Nottingham, School of Agriculture, Loughborough LE12 5RD.     

Spatial variations of incoming longwave radiationin Göteborg, Sweden

Summary  A measurement programme was conducted in G?teborg Sweden, to examine the spatial variations of incoming longwave irradiance on calm, cloudless nights. Both regional and local spatial variations were examined. Incoming longwave irradiance data was obtained from mobile car transects, and at a fixed site on a building roof at the city centre. Ancillary data included sky view factor at various transect locations, and balloon soundings of air temperature and humidity on one night. Measurements revealed that on average, incoming longwave irradiance at the fixed urban site was 11 W m ⁻² higher than at the rural station, with varying differences for intervening sites. Bulk apparent sky emissivity was higher at the most rural station compared to the fixed urban site, by about 0.03 on average. Nighttime balloon measurements and a sensitivity analysis with a radiative transfer model argue that the bulk apparent sky emissivity differences stem mainly from the temperature structure of the lower boundary layer which changes markedly from rural to urban areas. A good relationship was found between sky view factor and incoming longwave irradiance for a range of urban and park locations. The relationship applies to both individual nights and average data. Using a simple obstruction model, canyon wall temperatures are derived, and the relationship between sky view factor and wall temperature is examined. Received December 23, 1999 Revised May 5, 2000     

Numerical study of the nocturnal urban boundary layer

A two-dimensional time-dependent Earth-atmosphere model is developed which can be applied to the study of a class of atmospheric boundary-layer flows which owe their origin to horizontal inhomogeneities with respect to surface roughness and temperature. Our main application of the model is to explore the governing physical mechanisms of nocturnal urban atmospheric boundarylayer flow.A case study is presented in which a stable temperature stratification is assumed to exist in the rural upwind area. It is shown through integration of the numerical model that as this air passes over a city, the heat is redistributed due to increased surface friction (and hence increased turbulent mixing). This redistribution of heat results in the formation of an urban heat island.Additional numerical integrations of the model are conducted to examine the dependence of induced perturbations on: (1) the upwind temperature inversion; (2) the geostrophic wind speed; and (3) urbanization. The results show a linear relationship between heat-island intensity and the rural temperature inversion with the heat island increasing in intensity as the upwind inversion becomes stronger; that the heat-island intensity close to the surface is inversely proportional to the geostrophic wind; and that the effects of anthropogenic heat cause an increase in the perturbation temperature with the perturbation extending to higher altitudes. From this study, we conclude that with an upwind temperature inversion, a city of any size should generate a heat island as a result of increased surface roughness. The heat-island intensity should increase with city size because of two factors: larger cities are usually aerodynamically rougher; and larger cities have a larger anthropogenic heat output.Research supported in part by NSF Grant GA-16822.     

地面热红外发射率的天顶角变化效应

文中着重研究了自然地表面的红外辐射的方向特征 ,实地测量了发射率随观测天顶角的变化 ,分别对卫星资料反演地面温度和地面辐射测量作出红外发射率的观测天顶角修正 ,两者比较的结果表明 ,发射观测天顶角修正在精确地面温度的反演计算中不可忽视 ,尤其在大角度观测情况下 ,对某些地物发射率方向特征的修正比发射率本身的修正更重要。     

用Landsat TM订正NOAA／AVHRR监测洪涝精度方法研究

为了提高NOAA卫星监测洪涝灾害精度，分别对NOAA和TM卫星资料监测洪涝灾害的光学原理进行阐述，并以黑山县和台安县为例，利用Landsat TM资料空间分辨率高的特点，对NOAA／AVHRR资料监测洪涝精度进行订正分析，平均相对误差为4．4％。研究结果表明，利用TM对NOAA监测洪涝精度进行订正是提高NOAA卫星监测洪涝精度可行的有效方法。     

Satellite and ground observations for large-scale air pollution transport in the Yellow Sea region

Large-scale air pollution transport (LSAPT) in the Yellow Sea region and their inflow onto the Korean Peninsula were observed through satellite images and ground measurements. LSAPT includes regional continental air-masses saturated with pollutants originating from China and subsequently landing on or passing through the Korean Peninsula. It is also possible to identify the distribution and transport patterns of LSAPT over the Yellow Sea. The ground concentrations for PM10, PM2.5 and CO measured at Cheongwon, located in the centre of south Korea, were compared with NOAA satellite images. Notably, the episodes observed of the LSAPT show a PM2.5 to PM10 ratio of 74% of the daily maximum concentrations. However, cases of duststorms were clearly distinguished by much higher PM10 concentrations and a ratio of 30% of PM2.5 to PM10 for daily maximum concentrations. For the episode on January 27, 2006, the inflow of a regionally polluted continental air-mass into the central and southwestern regions of the Korean Peninsula was observed sequentially at various ground observatories as well as by satellite. The north airflow dissipated the clouds over Mt. Halla on Jeju Island and further downwind, reducing air pollution and creating a von Kármán vortex.     

Comparison of urban/rural counter and net radiation at night

Comparison of incoming long-wave radiation at night in urban and rural locations has been achieved via direct measurements. Counter radiation and air temperature were continuously monitored during automobile traverses across the Island of Montreal on clear nights. Results show that urban counter radiation values are consistently slightly higher than rural values. The cross-Montreal radiation profiles closely parallel the form of the urban heat island.Comparison of measured counter radiation with that computed from empirical equations shows a fair absolute agreement, but important urban/rural differences. Analysis of these differences suggests that the urban counter radiation anomaly is explainable on the basis of the vertical temperature structure of the city alone, without need to consider emissivity changes brought about by air pollution. This suggests that the increased counter radiation is a result, not a cause of the urban heat island.Estimates of net long-wave radiation show only small urban/rural differences. Thus the increased counter radiation appears to be nullified by an increased emission from the warmer city surface. The study indicates that radiative exchanges probably play a minor role in nocturnal urban/rural surface energy balance differences.     

Assimilation of Feng-Yun-3B Satellite Microwave Humidity Sounder Data over Land

The ECMWF has been assimilating Feng-Yun-3B(FY-3B) satellite microwave humidity sounder(MWHS) data over ocean in an operational forecasting system since 24 September 2014. It is more difficult, however, to assimilate microwave observations over land and sea ice than over the open ocean due to higher uncertainties in land surface temperature, surface emissivity and less effective cloud screening. We compare approaches in which the emissivity is retrieved dynamically from MWHS channel 1 [150 GHz(vertical polarization)] with the use of an evolving emissivity atlas from 89 GHz observations from the MWHS onboard NOAA and EUMETSAT satellites. The assimilation of the additional data over land improves the fit of short-range forecasts to other observations, notably ATMS(Advanced Technology Microwave Sounder) humidity channels, and the forecast impacts are mainly neutral to slightly positive over the first five days. The forecast impacts are better in boreal summer and the Southern Hemisphere. These results suggest that the techniques tested allow for effective assimilation of MWHS/FY-3B data over land.     

基于神经网络的气象卫星影像森林火点自动识别的试验研究

森林火点的识别是利用气象卫星资料监测森林火灾的基础。传统的目视解译火点识别法难以实现计算机的自动识别，神经网络技术为解决这一问题提供了新的工具。作者探讨了应用神经网络实现气象卫星影像森林火点自动识别的技术方法，并在湖北省地理范围内进行了试验。试验结果显示，经过训练的神经网络能够记忆火点的特征，具备将森林火点从气象卫星影像中识别出来的能力。与目视解译法相比，神经网络方法的精度接近目视解译法，最重要的是实现了森林火点的自动识别。     

Urban heat island diagnosis using ASTER satellite images and ‘in situ’ air temperature

This study demonstrates that thermal satellite images combined with ‘in situ’ ground data can be used to examine models of heat island genesis and thus identify the main causes of urban heat islands (UHIs). The models, although proposed over 30 years ago, have not been thoroughly evaluated due to a combination of inadequate ground data and the low resolution of thermal satellite data. Also there has been limited understanding of the relevance of satellite-derived surface temperatures to local and regional scale air temperatures. A cloud-free ASTER thermal image of urban and rural areas of Hong Kong was obtained on a winter night with a well-developed heat island, accompanied by a 148 km vehicle traverse of air temperatures. Over the whole traverse a high R² of 0.80 was observed between surface and air temperatures, with the two datasets showing a similar amplitude and general trend, but with the surface exhibiting much higher local variability than air temperature. Gradients in both surface and air temperature could be related to differences in land cover, with little evidence of large scale advection, thus supporting the population/physical structure model of UHI causation, rather than the advection model. However, the much higher surface and air temperatures observed over the largest urban area, Kowloon, than over any smaller urban centre with similar physical structure in the New Territories, would seem more indicative of the advection model. The image and ground data suggest that Kowloon's urban canopy layer climate is mainly influenced by local city structure, but it is also modified by a strongly developed, regional scale urban boundary layer which has developed over the largest urban centre of Kowloon, and reinforces heating from both above and below.     

AN ERROR ANALYSIS ON THE SIMULATED DATA OF TOVS HIRS BY RTTOV5 MODEL*

The sounding data of meteorological satellites provide not only the real time weather information about the distribution of both cloud and rainfall,but also some others about the movement and state of atmosphere.They are important variables and parameters for NWP model used to simulate and predict atmospheric state.In order to introduce remote sensing information from satellites into NWP model,there is an efficient way of establishing an RT model by use of the atmosphere radiation sounding data of meteorological satellites to get the variables and parameters valuable to NWP model.In this paper,we set up profiles of air temperature and water vapor from the surface to upper (0.1 hPa) using the radiosounding data and the surface data from May to August 1998 atmosphere East Asia.A TOVS RT model (RTTOV5) is provided to compute the value of radiation value of HIRS channels in NOAA14.Then the radiation values of 19 HIRS channels are gotten.After matching these data computed by the RT model and the corresponding values coming from satellite sounding in time,the statistic distribution of bias between tile model output and the satellite sounding at each sounding channel can be gotten.At the same time.the distribution of RMS to every TOVS HIRS channel,the standard biases to different scanning angle to each channel are also obtained.     

AN ERROR ANALYSIS ON THE SIMULATED DATA OF TOVS HIRS BY RTTOV5 MODEL

The sounding data of meteorological satellites provide not only the real time weatherinformation about the distribution of both cloud and rainfall,but also some others about themovement and state of atmosphere.They are important variables and parameters for NWP modelused to simulate and predict atmospheric state.In order to introduce remote sensing informationfrom satellites into NWP model,there is an efficient way of establishing an RT model by use of theatmosphere radiation sounding data of meteorological satellites to get the variables and parametersvaluable to NWP model.In this paper,we set up profiles of air temperature and water vapor fromthe surface to upper (0.1 hPa) using the radiosounding data and the surface data from May toAugust 1998 atmosphere East Asia.A TOVS RT model (RTTOV5) is provided to compute thevalue of radiation value of HIRS channels in NOAA14.Then the radiation values of 19 HIRSchannels are gotten.After matching these data computed by the RT model and the correspondingvalues coming from satellite sounding in time,the statistic distribution of bias between tile modeloutput and the satellite sounding at each sounding channel can be gotten.At the same time.thedistribution of RMS to every TOVS HIRS channel,the standard biases to different scanning angleto each channel are also obtained.     

Sensitivity of retrieved atmospheric profiles from infrared radiances to physical and statistical parameters of the data assimilation system

Abstract

The direct assimilation of satellite radiances is now operational in a few forecast centres, providing global temperature (T) and moisture (Q) information. The critical parameters which influence the quality of the resulting analysis are mainly the selection of channels, the respective errors of the background field and radiance observations, and the quality of the radiative transfer model. These various aspects are studied from sensitivity experiments based on 1‐D variational assimilations using the ensemble of 19 infrared channels (HIRS) of the NOAA‐14 satellite.

It is shown that significant improvements in the retrievals would be obtained if the radiance observation error (measurement plus radiative transfer), currently estimated to be about equal to that of the background (in radiance units), were decreased. This could in principle be achieved by improving the forward radiative transfer model (RTM). Two RTMs suitable for radiance assimilation are compared in terms of analyzed increments, Jacobians, brightness temperature and equivalent background error. Important differences are noted for all of these interrelated measures. The existence of air‐mass dependent biases of fast radiative transfer models of the order of 1.5 K is confirmed in several channels from additional comparison with a line‐by‐line model. The importance of correctly specifying surface emissivity and the effective angle for downward calculations is demonstrated.

The paper also evaluates, in some detail, the impact of uncertainties on the background error covariance matrix. The uncertainty on the skin temperature (TJ error affects mostly the retrieval of that parameter; it has a modest impact on the T and Q profiles in the low troposphere. The uncertainty on the Q‐Q elements has more impact than that on the T‐T elements. Off‐diagonal elements of the background error covariance matrix are very important as they impose smoothness and level‐to‐level consistency, especially for Q retrievals. Finally, T_s‐T correlations, often ignored, could result in significant improvements in the retrieval of temperature at low levels. Research issues are discussed in the conclusion.     

Assessing the Ecological Quality of Nanjing during Its Urbanization Process by Using Satellite,Meteorological, and Socioeconomic Data

Assessing the ecological status of different districts within a city undergoing urbanization is challenging given their complex surface types and fast pace of development. In this study, we utilized satellite data obtained from Landsat 5/TM (Thematic Mapper) and Landsat 8/OLI (Operational Land Imager) images in conjunction with meteorological and socioeconomic data to construct a remote sensing ecological index (RSEI) for monitoring the ecological quality of Nanjing, Jiangsu Province. A higher RSEI value corresponded to better ecological quality. Five ratings were associated with RSEI values of city districts: very poor, poor, average, good, and excellent. In Nanjing, the percentage of areas evidencing good RSEI ratings decreased from 55.9% in 2000 to 48.0% in 2018, whereas there was a slight increase in areas with very poor RSEI ratings during this period. Of the 11 city districts, 16.8%, 21.8%, and 61.4% respectively evidenced the increasing, decreasing, and stable ecological quality relative to their quality in 2000. Of the 11 administrative districts in Nanjing, the main urban districts evidenced increased RSEI values in 2018 compared with those in 2000, with the improved areas exceeding the ones that had deteriorated in these districts. However, the ecological quality of new urban and ed because of the urban expansion, with areas that had deteriorated exceeding the improved ones. Of the three protected ecological zones, the quality of Zijin Mountain National Forest Park was considerably better than that of Laoshan and Jiangxinzhou. Overall, the urbanization rate and RSEI evidenced a high negative correlation coefficient value (−0.76). The urbanization process of Nanjing induced a declining trend for the ecological quality, indicating the need of strong protection measures for the maintenance or improvement of its ecological environment.     

冬季西宁市区上空阴霾的监测与分析

根据１９９３￣１９９７年各年冬季清晨晴朗少云条件下所获得的ＮＯＡＡ－１２卫星云图资料,对西宁市区上空近地面大气层的污染物－－阴霾做了初步分析。首先总结了阴霾在ＮＯＡＡ－１２卫星云科上所呈现的物理量特征;其次利用这些特征计算了阴霾的面积、经纬度和中心经纬度值;最后从气象学方面证明了冬季西宁市区上空具有形成阴霾的条件。     

Numerical Modelling of Urban Heat-Island Intensity

A three-dimensional, non-hydrostatic, high-resolution numerical model was used toanalyse urban heat-island (UHI) intensity in an idealised but realistic configuration.The urban area was 20 km square and lay on flat land at about latitude 50° Nin a maritime climate. In the model the urban area was represented by anomalies ofalbedo, anthropogenic heat flux, emissivity, roughness length, sky-view factor (SVF),surface resistance to evaporation (SRE) and thermal inertia. A control simulationincluded all these factors and the resultant UHI structure, energetics and intensitywere validated against observations. The results also compared favourably withearlier simulations.A series of experiments was conducted in which successively one of the anomaliesthat represented the urban area was omitted from the control simulation so as toprovide the basis for an assessment of its effect. In daytime the individual effectsdue to albedo, anthropogenic heat, emissivity, SVF and thermal inertia ranged from0.2 to 0.8 °C. In common with albedo, anthropogenic heat, emissivity andSVF, the SRE aided the formation of a UHI; it was also the most important factorin increasing its intensity. The roughness length had the opposite effect. At nightemissivity, roughness length, SVF and SRE had effects ranging from 0.3 to0.75 °C, but the largest effect (2 °C) was due to the anthropogenicheat. These results showed a difference in the causes of daytime and nighttime UHIs.In daytime the roughness length and SRE were the most important factors affectingUHI intensity; at night the anthropogenic heat was the most important. The simulationssuggested that the size of the urban area had a minimal effect on UHI intensity.