نتایج جستجو برای: meteorological instrument

تعداد نتایج: 106309  

2013

The main sources of meteorological data at high altitudes are radiosondes and Aircraft Meteorological Data Relay (AMDAR) data [1]. Mode-select (Mode-S) radars are capable of getting similar readings from aircraft as AMDAR; however, this source of meteorological data has not been used systematically so far. In this article, we analyze the meteorological data obtained by means of Mode-S radars an...

2007
G. Ratier J. L. Bertaux J. Langen T. Paulsen A. Popescu F. Spiero

GOMOS is being developed as one of the ESA instruments to be own on-board the ENVISAT environmental satellite. This instrument is based on the star occultation principle. Using a medium resolution spectrometer, GOMOS will measure the concentration prooles of, and monitor the trends in, Ozone and other trace gases. The input catalogue of GOMOS, which could include some 1000 stars, is currently b...

2007
E. Davakis S. Andronopoulos I. Kovalets N. Gounaris J. G. Bartzis S. G. Nychas

In previous work [Kovalets, I., Andronopoulos, S., Bartzis, J.G., Gounaris, N., Kushchan, A., 2004. Introduction of data assimilation procedures in the meteorological pre-processor of atmospheric dispersion models used in emergency response systems. Atmospheric Environment 38, 457–467.] the authors have developed data assimilation (DA) procedures and implemented them in the frames of a diagnost...

Journal: :Environmental Modelling and Software 2008
Oriol Jorba Thomas Loridan Pedro Jiménez-Guerrero Carlos Pérez José María Baldasano

CHIMERE is a chemical transport model widely used within the air quality scientific community. The actual version of CHIMERE is coupled with the MM5 mesoscale meteorological model. To facilitate model development, MM5 is replaced here with the Weather Research and Forecasting (WRF) model. With the accuracy of air quality models being highly dependent on the quality of meteorological drivers, th...

1998
K. M. Hollister A. S. Rhoades A. T. Lind

This document is disseminated under the sponsorship of the Department of Transportation in the interest of information exchange. The United States Government assumes no liability for its contents or use thereof. The effects of three different levels ofpilot training on the breakout response ofpilots and the Boeing 747-400 aircraft were studied. The study examined responses during ATC-directed b...

2010
O. Meinander

O. Meinander, S. Kazadzis, A. Arola, R. Kivi, A. Kontu, H. Suokanerva, V. Aaltonen, T. Manninen, J.-L. Roujean, and O. Hautecoeur Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland Institute for Environmental Research and Sustainable Development, National Observatory of Athens, Greece Finnish Meteorological Institute, Kuopio Unit, P.O. Box 1627, 70211 Kuopio, Finland Finnis...

2007
P. Yan J. Tang J. Huang J. T. Mao X. J. Zhou Q. Liu Z. F. Wang H. G. Zhou

The measurement of aerosol optical properties at a rural site in Northern China P. Yan, J. Tang, J. Huang, J. T. Mao, X. J. Zhou, Q. Liu, Z. F. Wang, and H. G. Zhou Chinese Academy of Meteorological Sciences of CMA, Beijing, China Atmospheric Department, Peking University, Beijing, China Guangzhou tropical meteorological institute of CMA, Guangzhou, China Beijing meteorological Bureau, Beijing,...

2010
Todd D. Sikora

Our long-term goal is to employ synthetic aperture radar (SAR) imagery of the sea surface as a marine meteorological research and forecasting tool. That is, we aim to use SAR to discover dynamical and morphological characteristics of microscale, mesoscale, and synoptic scale marine meteorological phenomena. We also aim to demonstrate how the fruits of our discovery can be used to aid marine met...

2015
Yu Liu Du-Gang Xi Zhao-Liang Li

Predicting the levels of chlorophyll-a (Chl-a) is a vital component of water quality management, which ensures that urban drinking water is safe from harmful algal blooms. This study developed a model to predict Chl-a levels in the Yuqiao Reservoir (Tianjin, China) biweekly using water quality and meteorological data from 1999-2012. First, six artificial neural networks (ANNs) and two non-ANN m...

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