Atmospheric MTF(Modulation Transfer Function) takes a critical role in restoration of atmospheric blurred RS(Remote Sensing) images. This MTF can be determined by meteorological data. Among the existing deblurring methods of RS images, the meteorological data is not used in estimation of atmospheric MTF. For CBERS-02(China and Brazil Earth Resource Satellite) RS image data, a new deblurring alg...

The Urban Heat Island (UHI) is one of the most well documented phenomena in urban climatology. Although a range of measurements and modelling techniques can be used to assess the UHI, the paucity of traditional meteorological observations in urban areas has been an ongoing limitation for studies. The availability of remote sensing data has therefore helped fill a scientific need by providing hi...

ABSTRACT- Many fruits, vegetables and ornamental crops of tropical origin experience physiological damage when subjected to low temperatures. Protection of plants from the effects of lethally low temperatures is important in agriculture, especially in horticultural production of high value fruits and vegetables. The objective of this study was to develop a simple model to predict the daily mini...

We analyze how biases of meteorological drivers impact the calculation of ecosystem CO2, water and energy fluxes by models. To do so, we drive the same ecosystem model by meteorology from gridded products and by meteorology from local observation at eddy-covariance flux sites. The study is focused on six flux tower sites in France spanning across a climate gradient of 7–14 C annual mean surface...

To date, it is well known that the effect of heat or cold on human beings cannot be described and quantified based only one single meteorological thermo-physiological parameter [...]

With the increasing popularity of open-source platform Hadoop, the meteorological industry is available to create a Meteorological Cloud (MeteCloud) platform to store and deploy applications. In this paper, we propose an idea to build the MeteCloud platform for meteorological departments using Hadoop. We also present a backup policy for meteorological data. In addition, one kind of storage proc...

The present paper has two aims. One is to survey brieey the state of the art of parameter estimation in meteorology and oceanography in view of applications of 4-D variational data assimilation techniques to inverse parameter estimation problems, which bear promise of serious positive impact on improving model prediction. The other aim is to present crucial aspects of identiiability and stabili...

Evaporation is one of the most important components of hydrologic cycle.Accurate estimation of this parameter is used for studies such as water balance,irrigation system design, and water resource management. In order to estimate theevaporation, direct measurement methods or physical and empirical models can beused. Using direct methods require installing meteorological stations andinstruments ...